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I Can’t See You; Can You Hear Me? Gender Norms and Context During In-Person and Teleconference U.S. Supreme Court Oral Arguments

Published online by Cambridge University Press:  16 November 2023

Shane A. Gleason*
Affiliation:
Department of Social Sciences, Texas A&M University–Corpus Christi, Corpus Christi TX, USA
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Abstract

Female attorneys at the U.S. Supreme Court are less successful than male attorneys under some conditions because of gender norms, implicit expectations about how men and women should act. While previous work has found that women are more successful when they use more emotional language at oral arguments, gender norms are context sensitive. The COVID-19 pandemic prompted perhaps the most radical contextual shift in Supreme Court history: freewheeling in-person arguments were replaced with turn-based teleconference arguments. This change altered judicial decision-making and, I argue, justices’ assessments of attorneys’ gender performance. Using quantitative textual analysis of oral arguments, I demonstrate that justices implicitly evaluate gender performance with different metrics in each modality. Gender-normative levels of emotional language predict success in both formats. Function words, however, only predict success in teleconference arguments. Given gender’s salience at the Supreme Court and in broader society, my findings prompt questions about the extent to which women can substantively impact case law.

Type
Research Article
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the Women, Gender, and Politics Research Section of the American Political Science Association

In March 2020, the COVID-19 pandemic prompted courts to suspend in-person oral arguments. Many conducted business over Zoom (Bergeron Reference Bergeron2021), but the U.S. Supreme Court utilized teleconference arguments (Johnson et al. Reference Johnson, Sorenson, Cleary and Szarkowicz2021). Under this new configuration, oral arguments were limited to an audio-only connection, meaning that justices and attorneys could not see each other. This altered many aspects of the Court’s regular operations (e.g., Houston, Johnson, and Ringsmuth Reference Houston, Johnson and Ringsmuth2023; Ringsmuth et al. Reference Ringsmuth, Sag, Johnson and Jacobi2023). Importantly, changing the context fundamentally alters how actors assess information (e.g., Chaiken and Eagly Reference Chaiken and Eagly1983; Ferran and Watts Reference Ferran and Watts2008; Guadagno and Cialdini Reference Guadagno and Cialdini2007). This includes evaluations of gender norms, subtle expectations about how men and women should act. Gender norms are powerful predictors of outcomes (Eagly and Wood Reference Eagly, Wood, Van Lange, Kruglanski and Higgins2012; Rudman et al. Reference Rudman, Moss-Racusin, Phelan and Nauts2012), but their manifestation is context dependent (Eagly and Karau Reference Eagly and Karau2002). I argue that the Court’s response to COVID-19 altered justices’ assessment of attorneys’ gender performance. This has normative consequences for how women contribute to the development of case law binding on lower courts throughout the United States and raises concerns about whether greater descriptive representation at the Supreme Court Bar translates into substantive representation in case law (e.g., Pitkin Reference Pitkin1967).

Changes in women’s substantive impact on case law have far-ranging implications. People view institutions as more legitimate when their views and concerns are taken into account by decision makers (e.g., Pitkin Reference Pitkin1967). Moreover, greater representation for women increases the overall quality of judicial outputs (Boyd Reference Boyd2015; Haire, Moyer, and Treier Reference Haire, Moyer and Treier2013). While the Bench is increasingly diverse, justices are legal generalists and depend on attorneys to provide information (Corley Reference Corley2008). While the number of women at the Bar is slowly increasing, their greater presence does not necessarily translate into different case law (Gleason and Smart Reference Gleason and Smart2023). The extent to which justices draw on female attorneys’ arguments is dependent on gender-norm compliance (Gleason Reference Gleason2020).

Gender norms generally hold that women should emphasize communal traits, whereas men should exhibit agentic traits (see, e.g., Bakan Reference Bakan1966; Bauer Reference Bauer2017; Karpowitz and Mendelberg Reference Karpowitz and Mendelberg2014). The legal profession generally, and the Supreme Court Bar specifically, is overwhelmingly male in composition and culture (Szmer, Kaheny, and Sarver Reference Szmer, Kaheny and Sarver2021). Accordingly, its professional norms value adversarial and agentic behavior (Eagly and Karau Reference Eagly and Karau2002; Norgren Reference Norgren2018; Rhode Reference Rhode1994). Thus, women must often violate professional norms to comply with gender norms. Consequently, female attorneys are often less successful than their male colleagues under some conditions (Szmer, Sarver, and Kaheny Reference Szmer, Sarver and Kaheny2010) and receive fewer professional opportunities (e.g., Szmer, Kaheny, and Sarver Reference Szmer, Kaheny and Sarver2021; Tillman and Hinkle Reference Tillman and Hinkle2018). While scholars note that women must navigate a precarious double bind (Kanter Reference Kanter1977; Rhode Reference Rhode1994), I argue that the shift from freewheeling oral arguments with frequent interruptions to measured, turn-based teleconference arguments alters the context to the point that the underlying evaluative criteria for gender-norm compliance expand (e.g., Chung and Pennebaker Reference Chung, Pennebaker and Fiedler2007; Johnson et al. Reference Johnson, Sorenson, Cleary and Szarkowicz2021; Ringsmuth et al. Reference Ringsmuth, Sag, Johnson and Jacobi2023). This should make it more difficult for women to substantively impact case law.

I examine the extent to which gender-normative language predicts oral argument success for (fe)male attorneys through a quantitative textual analysis of transcripts from all orally argued cases resulting in a signed opinion or judgment during the 2018–20 Supreme Court terms (Gleason Reference Gleason2020). The choice of these terms, centered on the Court’s March 2020 suspension of in-person oral arguments (Houston, Johnson, and Ringsmuth Reference Houston, Johnson and Ringsmuth2023; Ringsmuth et al. Reference Ringsmuth, Sag, Johnson and Jacobi2023), allows for a natural experiment assessing the operation of gender-normative language across two distinct argument formats. I find that changes in oral argument format expand the scope of verbal gender norms that shape attorney success.

Gender-Normative Language at Oral Arguments

Attorneys are, at the most basic level, tasked with communicating information to the Court (Johnson Reference Johnson2001, Reference Johnson2004). Yet communication is not uniformly evaluated across all speakers. Evaluations are based, in part, on whether speakers communicate consistent with socially constructed behavioral expectations (Gawronski Reference Gawronski2003; Rosenthal and Rubin Reference Rosenthal and Rubin1978), often dependent on sex (Eagly and Carli Reference Eagly and Carli2007; Karpowitz and Mendelberg Reference Karpowitz and Mendelberg2014). To this end, arguments that are effective for men are not necessarily effective for women. This distinction is necessitated by juxtaposed gender and professional norms.

Gender norms, implicit expectations about how men and women should act in a myriad of contexts (Bauer Reference Bauer2017; Eagly and Carli Reference Eagly and Carli2007; Jones Reference Jones2016), operate in numerous ways (Cashdan Reference Cashdan1998). Typically, work on the Supreme Court examines how the presence of female attorneys impacts judicial behavior (see, e.g., Patton and Smith Reference Patton and Smith2017; Szmer, Sarver, and Kaheny Reference Szmer, Sarver and Kaheny2010). When a (wo)man approaches the lectern, justices implicitly note their sex and activate gender-normative behavioral expectations (e.g., Olivola and Todorov Reference Olivola and Todorov2010; Shih, Pittinsky, and Ambady Reference Shih, Pittinsky and Ambady1999; Witt and Wood Reference Witt and Wood2010). More recent work examining the words attorneys use finds that female attorneys are more successful when they “sound like women” (Gleason Reference Gleason2020). But the professional norm of a good attorney is masculine and at odds with gendered expectations for female attorneys. Thus, women must carefully balance sounding like a “good woman” with sounding like a “good attorney” (Rhode Reference Rhode1994). The importance of this balancing act is growing; since the 1970s, the role of gender norms in predicting attorney success has become increasingly pervasive (Gleason and Smart Reference Gleason and Smart2023). This underscores that while gender norms are present in virtually all interactions, their precise manifestation is context dependent (e.g., Chung and Pennebaker Reference Chung, Pennebaker and Fiedler2007; Guadagno and Cialdini Reference Guadagno and Cialdini2007). The COVID-19 pandemic ushered in perhaps the most profound context change in the Supreme Court’s history. I contend that this should also change the operation of gender norms.

The outbreak of COVID-19 prompted the Court to suspended in-person oral arguments and shift to teleconference arguments, in which justices could hear, but could not see, attorneys (Johnson et al. Reference Johnson, Sorenson, Cleary and Szarkowicz2021). More than just a change in modality, the Court abandoned its traditional format whereby justices can interrupt attorneys at any time. In its place, justices took turns asking attorney questions (Jacobi et al. Reference Jacobi, Johnson, Ringsmuth and Sag2021; Ringsmuth et al. Reference Ringsmuth, Sag, Johnson and Jacobi2023). The shift was difficult for jurists and attorneys alike; it was challenging to know when to start speaking or to fully engage without seeing facial reactions or body posture (Bergeron Reference Bergeron2021; McGaughey Reference McGaughey2021). Importantly, changing the context can alter the way decision makers evaluate actors (Ferran and Watts Reference Ferran and Watts2008). This should extend to how justices evaluate attorneys’ gender performance.

Attorney Sex and the Performance of Gender

The Supreme Court Bar is the most elite group of lawyers in the United States (Black and Owens Reference Black and Owens2012; McGuire Reference McGuire1993). Their briefs and oral arguments shape the contours of judicial decisions binding on lower courts throughout the nation (see, e.g., Corley Reference Corley2008; Johnson Reference Johnson2001). While the Bar is prestigious in its own right, there is remarkable variation in members’ success.Footnote 1 Attorneys with prior clerkships (Feldman Reference Feldman2017b), more experience (McGuire Reference McGuire1995), or prestigious affiliations (Curry Reference Curry2015) are typically more successful. All of these factors are mutable; attorneys can accrue more experience or get a new job. However, scholars increasingly note that attorney success is predicted by immutable characteristics, such as sex, under some conditions (see, e.g., Gleason Reference Gleason2020; Gleason and Smart Reference Gleason and Smart2023; Szmer, Sarver, and Kaheny Reference Szmer, Sarver and Kaheny2010). These studies begin with presence: when a female attorney rises to speak, justices implicitly note her sex (Olivola and Todorov Reference Olivola and Todorov2010; Shih, Pittinsky, and Ambady Reference Shih, Pittinsky and Ambady1999).Footnote 2 This sex cue calls forth gender norms.

Gender norms, socially constructed expectations about how men and women should act in a host of contexts (Bauer Reference Bauer2017; Eagly and Carli Reference Eagly and Carli2007; Heilman et al. Reference Heilman, Wallen, Fuchs and Tamkins2004), are grounded in social role theory. Briefly, they dictate how gender should be performed.Footnote 3 These expectations operate at an implicit level (e.g., Eagly and Carli Reference Eagly and Carli2007; Uleman, Saribay, and Gonzalez Reference Uleman, Saribay and Gonzalez2008), and they are internalized as early as childhood (Cunningham Reference Cunningham2001; Eagly and Wood Reference Eagly, Wood, Van Lange, Kruglanski and Higgins2012; Witt and Wood Reference Witt and Wood2010). In general, gender norms hold that men should be agentic (e.g., assertive and persuasive), whereas women should be communal (e.g., conciliatory and interpersonally warm) (Bakan Reference Bakan1966; Cuddy, Fiske, and Glick Reference Cuddy, Fiske and Glick2008; Heilman et al. Reference Heilman, Wallen, Fuchs and Tamkins2004). While gender norms can include manner of dress, hand gestures, vocal pitch, and language (de Lemus, Spears, and Moya Reference de Lemus, Spears and Moya2012; Neumann, Fowler, and Ridout Reference Neumann, Fowler and Ridout2022), their precise operation is context dependent (see, e.g., Cheng, Chandramouli, and Subbalakshmi Reference Cheng, Chandramouli and Subbalakshmi2011; Chung and Pennebaker Reference Chung, Pennebaker and Fiedler2007; Gleason and Ivy Reference Gleason and Ivy2021). This is particularly true in heavily gendered contexts.

Women are seen as less qualified in stereotypically male domains (Eagly and Karau Reference Eagly and Karau2002), such as the legal profession (e.g., Haire and Moyer Reference Haire and Moyer2015; Norgren Reference Norgren2018). To this end, female attorneys often report marginalization (Collins, Dumas, and Moyer Reference Collins, Dumas and Moyer2017) and patronizing treatment from male counsel and jurists (Kearney and Sellers Reference Kearney and Sellers1996; Winkle and Wedeking Reference Winkle and Wedeking2003). This is especially pronounced in American federal appellate courts, where, despite increased diversity in the legal profession overall, women remain underrepresented (Solberg and Diascro Reference Solberg and Diascro2020; Szmer, Kaheny, and Sarver Reference Szmer, Kaheny and Sarver2021). At the Supreme Court, female attorneys are less likely to secure justice votes under some conditions (Szmer, Sarver, and Kaheny Reference Szmer, Sarver and Kaheny2010), and they are interrupted earlier and more often than male attorneys (Patton and Smith Reference Patton and Smith2017, Reference Patton and Smith2020).Footnote 4 While most studies rely on the presence of women, recent work takes a more performative conceptualization of gender and finds that women’s success varies depending on how gender is performed. That is to say, arguments that are effective for men are not necessarily effective for women (e.g., Butler Reference Butler1999).

Because the common law tradition is adversarial, aggressive and assertive advocates are desirable. However, this is a stereotypically male trait (e.g., Eagly and Carli Reference Eagly and Carli2007). Accordingly, while attorneys writ large are more successful when they follow the Court’s directive to avoid emotional language (Black et al. Reference Black, Matthew, Owens and Ringsmuth2016), female attorneys are more successful when they use more emotional language in briefs and oral arguments (Gleason Reference Gleason2020; Gleason, Jones, and McBean Reference Gleason, Jones and McBean2019). Thus, in order to be successful, women must violate the Court’s rules. This necessitates a careful balance for female attorneys that does not exist for men. However, much as in other institutional contexts in which women are a minority, women often downplay the salience of difference by adopting more stereotypically male behavior (e.g., Kanter Reference Kanter1977; Rhode Reference Rhode1994). To illustrate, female candidates for progressively higher and male-dominated elected offices use more masculine language (Jones Reference Jones2016). This strategy is effective for legislators (Karl and Cormack Reference Karl and Cormack2023) but not for attorneys at the Court (Gleason Reference Gleason2020). Even still, female attorneys use less emotional language than their male counterparts on average (Gleason, Jones, and McBean Reference Gleason, Jones and McBean2017). That is to say, female attorneys argue in a more masculine way than men.

Context is key to outcomes at the Court (e.g., Black, Johnson, and Owens Reference Black, Johnson and Owens2018). During the late 1970s and early 1980s, relatively few women appeared at the Court and gender-normative levels of emotional language did not predict attorney success. However, as more women argued at the Court and the conservatism of justices increased, gender-norm compliance became a significant predictor of attorney success (Gleason and Smart Reference Gleason and Smart2023). There is also evidence of this at other courts. Since more women argue at federal appellate courts than at the Supreme Court, women are as successful as their male colleagues under some conditions there (Szmer et al. Reference Szmer, Kaheny, Sarver and DeCamillis2013). The Supreme Court of Canada’s bench, bar, and law clerk corps are more diverse than the U.S. Supreme Court’s (Kaheny et al. Reference Kaheny, Szmer, Hansen and Scheurer2015), and female attorneys are more successful there their male colleagues under some conditions (Kaheny, Szmer, and Sarver Reference Kaheny, Szmer and Sarver2011). Case context is likewise important; female attorneys are more successful (Szmer et al. Reference Szmer, Kaheny, Sarver and DeCamillis2013; Szmer, Sarver, and Kaheny Reference Szmer, Sarver and Kaheny2010) and less likely to be interrupted (Patton and Smith Reference Patton and Smith2017, Reference Patton and Smith2020) in “women’s issue” cases, in which they are presumed to be experts.

While scholars have extensively studied how context shapes female attorney success at oral arguments, these studies occur in the same in-person modality. An interdisciplinary literature stresses that the use of different modalities, such as in-person, video, audio, and text, changes which underlying aspects of speakers’ presentations resonate with decision makers (Chaiken and Eagly Reference Chaiken and Eagly1983; Ferran and Watts Reference Ferran and Watts2008). This includes how gender is evaluated (Areni and Sparks Reference Areni and Sparks2005; Guadagno and Cialdini Reference Guadagno and Cialdini2007). Leaving the in-person modality makes it more difficult for speakers to hold evaluators’ attention (Chaiken and Eagly Reference Chaiken and Eagly1983), and evaluators are more likely to use heuristics (Ferran and Watts Reference Ferran and Watts2008). Even during in-person arguments, sex is frequently a heuristic for which attorneys should be interrupted (Patton and Smith Reference Patton and Smith2017, Reference Patton and Smith2020), win at the merits (Szmer, Sarver, and Kaheny Reference Szmer, Sarver and Kaheny2010), and receive justice votes (Gleason Reference Gleason2020). Thus, even during in-person arguments, sex was shaping outcomes. Perhaps more importantly, gender was already highly salient when the Court shifted to teleconference arguments.

In the late 2010s, scholars and journalists highlighted the gender dynamics at the Court, particularly with respect to interruptions (see, e.g., Jacobi and Schweers Reference Jacobi and Schweers2017; Quinn Reference Quinn2021). Briefly, female attorneys and justices are interrupted earlier and more frequently than men (Feldman and Gill Reference Feldman and Gill2019; Patton and Smith Reference Patton and Smith2017). Thus, the impact of gender extends beyond the hierarchical distinction between justices and attorneys; it extends to the dynamics on the Bench itself. By the start of the 2019 term, the Court was keenly aware of gendered differences in interruptions (Feldman Reference Feldman2019; Quinn Reference Quinn2021), and it adopted a new format whereby the first two minutes were reserved from interruption. While this change prompted multiple intriguing scholarly inquiries, any in-depth analysis was precluded by COVID-19. On March 16, 2020, the Court postponed scheduled in-person oral arguments and began teleconference arguments in May (Houston, Johnson, and Ringsmuth Reference Houston, Johnson and Ringsmuth2023).

During teleconference arguments, attorneys made an uninterrupted opening statement, and justices subsequently questioned attorneys directly for a set time period in order of seniority. Throughout the argument, Chief Justice John Roberts moderated the discussion and kept time (Jacobi et al. Reference Jacobi, Johnson, Ringsmuth and Sag2021). In the new format, justices and attorneys could hear but not see each other (Ringsmuth et al. Reference Ringsmuth, Sag, Johnson and Jacobi2023). This change was jarring; counsel and jurists alike were unsure of when to begin speaking without facial expressions indicating when a speaking turn was completed (Bergeron Reference Bergeron2021; McGaughey Reference McGaughey2021). As justices navigated this new format, gender remained on their minds (e.g., Quinn Reference Quinn2021). Yet gendered patterns quickly emerged. Chief Justice Roberts was more forgiving of male justices exceeding their time and more likely to interrupt female justices (Litman Reference Litman2020–22).Footnote 5 Particularly as gender norms operate at an implicit level, it is intuitive that they should shape how justices evaluate attorneys during teleconference arguments.

While gender norms should shape justices’ evaluations of attorneys, it is likely they do not operate in the same way that they did in pre-pandemic in-person arguments. This is because the operation of gender norms is not static; they evolve and change at the Court along with the context (Gleason and Smart Reference Gleason and Smart2023). Moreover, work on the Court and in other fields demonstrates that shifting contexts and modalities has consequences for how gender-norm compliance is evaluated (see, e.g., Areni and Sparks Reference Areni and Sparks2005; Ferran and Watts Reference Ferran and Watts2008; Gleason and Ivy Reference Gleason and Ivy2021; Guadagno and Cialdini Reference Guadagno and Cialdini2007). COVID-19 altered the Court in an altogether new way that ushered in many changes (Johnson et al. Reference Johnson, Sorenson, Cleary and Szarkowicz2021; Houston, Johnson, and Ringsmuth Reference Houston, Johnson and Ringsmuth2023; Ringsmuth et al. Reference Ringsmuth, Sag, Johnson and Jacobi2023), not the least of which should be the gender-normative metrics that justices use to evaluate attorneys. Accordingly,

H1: The shift to teleconference oral arguments increases the importance of gender-normative arguments in predicting attorney success at oral arguments.

Methods

I test my expectations through a quantitative textual analysis of all oral argument transcripts from cases resulting in a signed opinion or judgment during the 2018–20 terms. I choose these terms because they span October 2018 through June 2021 and center on the Court’s March 2020 shift to teleconference arguments. Thus, the sample includes one term argued in person (2018), one by teleconference (2020), and one split between the two modalities (2019). I process transcripts with a Python script to produce separate text documents for each attorney’s utterances (e.g., Gleason Reference Gleason2020). This forms the basis for my unit of analysis: the attorney–justice vote in a given case. I combine these data with the Supreme Court Database, (Spaeth et al. Reference Spaeth, Epstein, Martin, Segal, Ruger and Benesh2021) resulting in 1,177 attorney–justice votes across 73 cases.Footnote 6 Of these, 766 votes occur during in-person arguments and 411 occur during teleconference arguments. The dependent variable is a binary marker noting whether the justice votes for the attorney’s position (Spaeth et al. Reference Spaeth, Epstein, Martin, Segal, Ruger and Benesh2021).

My main independent variables are two interaction terms examining the extent to which the attorney complies with gender norms in his or her argument. I first note attorney sex, constructed with the honorific used to address the attorney in the transcript (Mr. or Ms.).Footnote 7 I set this value to 1 for female attorneys and 0 otherwise. Next, I measure attorney gender-norm compliance. Many studies utilize the Linguistic Inquiry Wordcount (LIWC) software (Pennebaker et al. Reference Pennebaker, Chung, Ireland, Gonzales and Booth2007) to extract the underlying properties of speech from political actors’ utterances (see, e.g., Black et al. Reference Black, Matthew, Owens and Ringsmuth2016; Bryan and Ringsmuth Reference Bryan and Ringsmuth2016; Gleason, Jones, and McBean Reference Gleason, Jones and McBean2019; Jones Reference Jones2016; Shaw Reference Shaw2000; Yu Reference Yu2014). While there are many measures in the LIWC, affect (emotion) is used extensively to study sex and gender at the Court (Gleason Reference Gleason2020; Gleason and Ivy Reference Gleason and Ivy2021; Gleason, Jones, and McBean Reference Gleason, Jones and McBean2019; Gleason and Smart Reference Gleason and Smart2023).

Lower affect scores are stereotypically more masculine, and higher scores are stereotypically more feminine.Footnote 8 This measure is constructed using a list of more than 900 affect words and word stems (Pennebaker et al. Reference Pennebaker, Chung, Ireland, Gonzales and Booth2007) that are evaluated implicitly (Pennebaker Reference Pennebaker2011). To illustrate the affect measure in practice, consider the following excerpts. The first, delivered by Kristen Waggoner in Uzuegbunam v. Preczewski,Footnote 9 has high affect. The second, by Mithun Mansinghani in McGirt v. Oklahoma,Footnote 10 has low affect. Affect words appear in bold.

[I]n terms of the true concern about being—courts being flooded with frivolous claims for relief, protracted litigation, or avoiding a drain on government resources, the long-standing rule is the rule that best resolves those concerns.

Oklahoma has jurisdiction over the eastern half of the state because it never was reservation land and is certainly not reservation land today. To start, the land was not public land preserved from sale, where title remains with the United States, but instead patented in fee to the Creek Nation.

The affect words in the excerpts are seemingly innocuous and presumably should not impact evaluations. However, gender norms operate implicitly to the extent that even words that are part of standard courtroom vernacular, like “harm” or “certain,” are gendered. This has been noted in fields as diverse as psychology (de Lemus, Spears, and Moya Reference de Lemus, Spears and Moya2012; Gawronski Reference Gawronski2003; Rosenthal and Rubin Reference Rosenthal and Rubin1978; Uleman, Saribay, and Gonzalez Reference Uleman, Saribay and Gonzalez2008) and the law (Lee Reference Lee2015–16). Moreover, a number of works exploring sex and judicial behavior note that female attorneys and justices are evaluated differently because of implicit stereotypes about men’s and women’s roles (see, e.g., Feldman and Gill Reference Feldman and Gill2019; Gill, Kagan, and Marouf Reference Gill, Kagan and Marouf2017; Patton and Smith Reference Patton and Smith2017, Reference Patton and Smith2020; Szmer, Sarver, and Kaheny Reference Szmer, Sarver and Kaheny2010). Additionally, several studies have noted that affective language is a consistent predictor of attorney compliance with gender norms, although the precise operation is context dependent (Gleason Reference Gleason2020; Gleason and Ivy Reference Gleason and Ivy2021; Gleason, Jones, and McBean Reference Gleason, Jones and McBean2019; Gleason and Smart Reference Gleason and Smart2023).

Since changing the context alters the operation of gender norms (e.g., Chaiken and Eagly Reference Chaiken and Eagly1983; Ferran and Watts Reference Ferran and Watts2008), I look beyond just affect. Function words are among the most versatile markers of gendered language (Chung and Pennebaker Reference Chung, Pennebaker and Fiedler2007), encompassing prepositions, articles, pronouns, conjunctions, and auxiliary verbs (e.g., “of,” “an,” “she,” “for,” “do”).

Function words carry little linguistic meaning in isolation and were historically considered “junk” words in text analysis (Pennebaker Reference Pennebaker2011). However, they are key markers of communication style (Phillips Reference Phillips2020; Rosenthal and Yoon Reference Rosenthal and Yoon2011). Importantly, their usage varies by sex (Newman et al. Reference Newman, Groom, Handelman and Pennebaker2008); higher levels of function words are female gender normative (Jones Reference Jones2016; Pennebaker Reference Pennebaker2011), and people can typically identify an anonymous author’s sex via function word level (Chung and Pennebaker Reference Chung, Pennebaker and Fiedler2007). Accordingly, I also utilize LIWC’s standardized measure of function words. To illustrate function words, consider the same oral argument excerpts from earlier. Function words appear in bold.

[I]n terms of the true concern about being– courts being flooded with frivolous claims for relief, protracted litigation, or avoiding a drain on government resources, the long-standing rule is the rule that best resolves those concerns.

Oklahoma has jurisdiction over the eastern half of the state because it never was reservation land and is certainly not reservation land today. To start, the land was not public land preserved from sale, where title remains with the United States, but instead patented in fee to the Creek Nation.

As earlier, the highlighted function words are seemingly benign and carry little meaning in isolation. However, at an implicit level, justices evaluate attorney arguments based on the extent to which function word usage complies with gender norms (e.g., Jones Reference Jones2016; Pennebaker Reference Pennebaker2011). Since my hypothesis is conditional, I create two interaction terms: attorney sex * affective language (function word usage) (e.g., Brambor, Clark, and Golder Reference Brambor, Clark and Golder2006).Footnote 11

I include several control variables suggested by previous literature. Since more experienced attorneys tend to be more successful (McGuire Reference McGuire1995; Ringsmuth, Bryan, and Johnson Reference Ringsmuth, Bryan and Johnson2013), I include the experience differential between the petitioner and the respondent by noting each attorney’s prior appearances and then subtracting the opposing attorney’s prior appearances from the attorney’s value. Not all attorneys are created equal; the Court privileges attorneys from the Office of the Solicitor General (Black and Owens Reference Black and Owens2012; McGuire Reference McGuire1998). Accordingly, I include a measure set to 1 when the attorney is from the Office of the Solicitor General and 0 otherwise. Since opposing the federal government is a daunting proposition, I include a binary measure of whether an attorney opposes the federal government.Footnote 12 Because former clerks tend to be more successful advocates (Feldman Reference Feldman2017a), I include a dichotomous marker set to 1 for attorneys who previously served as clerks.Footnote 13 Since the Court more often rules for petitioners, I include a dichotomous marker noting whether the attorney represents the petitioner (Spaeth et al. Reference Spaeth, Epstein, Martin, Segal, Ruger and Benesh2021).

Outside parties can enhance attorney success by filing amicus curiae briefs (Box-Steffensmeier, Christenson, and Hitt Reference Box-Steffensmeier, Christenson and Hitt2013; Spriggs and Wahlbeck Reference Spriggs and Wahlbeck1997). Accordingly, I include an amicus brief differential by taking the number of amici supporting each attorney and subtracting the number of amici supporting their opponent (Collins Reference Collins2008; Gleason Reference Gleason2020). Since ideology is a powerful predictor of judicial behavior (Segal and Spaeth Reference Segal and Spaeth2002), I multiply each justice’s Martin and Quinn (Reference Martin and Quinn2002) score by –1 for attorneys representing the liberal position and 1 for attorneys representing the conservative position. This creates a measure of ideological congruence. Since female justices may have many of the same experiences as female attorneys and thus may be more sympathetic (Haire and Moyer Reference Haire and Moyer2015), I interact a binary marker for female justices with the female attorney measure. More cognitively complex oral arguments are more successful; I include a standardized measure of LIWC’s measure of cognitive complexity (Gleason Reference Gleason2020). Since briefs are an important part of the decision-making process (Corley Reference Corley2008), I control for the extent to which party briefs are gender normative based on the counsel of record (Gleason Reference Gleason2020; Gleason, Jones, and McBean Reference Gleason, Jones and McBean2019). Attorneys who are interrupted more are less successful (Johnson et al. Reference Johnson, Black, Goldman and Treul2009). Accordingly, I create an interruption differential following the same logic used for experience differential earlier. Since the initial shift to teleconference arguments was jarring for justices and counsel alike (e.g., Bergeron Reference Bergeron2021; Houston, Johnson, and Ringsmuth Reference Houston, Johnson and Ringsmuth2023; Litman Reference Litman2020–22), I include a binary variable for cases argued in May 2020. Finally, since there are well documented sex differences across issue areas (see, e.g., Boyd, Epstein, and Martin Reference Boyd, Epstein and Martin2010; Songer, Davis, and Haire Reference Songer, Davis and Haire1994), I include binary variables denoting Spaeth et al.’s (Reference Spaeth, Epstein, Martin, Segal, Ruger and Benesh2021) issue areas.Footnote 14

I run two models, one each for in-person and teleconference arguments.Footnote 15 Given my dichotomous dependent variable, I utilize logistic regression. Because of justice-level idiosyncrasies, I cluster standard errors on the justice.Footnote 16 Next, I turn to a detailed discussion of my results.

Results

The results demonstrate that shifting to teleconference oral arguments alters how gender-normative language impacts justices’ evaluations of attorneys. This is most evident with function words; their usage has little substantive impact on attorney success during in-person arguments, but it is a significant and substantive predictor of attorney success during teleconference arguments. Affective language, however, is significant both before and after the shift. Additionally, while some control variables are significant in both modalities, there are notable differences between models. This underscores context’s role in predicting justice votes and highlights the need to further explore how argument modality shapes attorney success. Before discussing the results of my models, however, it is worthwhile to examine the descriptive statistics.

Table 1 shows that male and female attorneys differ in important ways. Women constitute a distinct minority of oral advocates, making just 14.7% of appearances from 2018 to 2020. This is consistent with previous work examining women arguing in the twenty-first century (Szmer, Kaheny and Sarver Reference Szmer, Kaheny and Sarver2021). While a greater percentage of women represent the federal government, a greater percentage of women are also opposed by the federal government. Likewise, more women than men represent parties with the lowest levels of party capability. Moreover, the women who do appear are less experienced and are less likely to have previously clerked. However, when women do argue against male attorneys, they are more successful, securing 62.5% of justice votes. This is consistent with previous work noting that women in male-dominated professions are often more qualified and effective than their male peers even if they face longer odds (see, e.g., Anzia and Berry Reference Anzia and Berry2011; Haire, Moyer, and Treier Reference Haire, Moyer and Treier2013).

Table 1. Male and female attorneys at the Supreme Court

While women are some of the most effective advocates, they make fewer appearances relative to their male counterparts. Table 2 shows the attorneys with the most appearances in the 2018–20 terms by sex. Erica L. Ross and Morgan L. Ratner are the most frequent female oral advocates, appearing seven times each. The most frequent male advocates, Paul D. Clement and Jeffrey B. Wall, have double the number of appearances (14). Underscoring the scarcity of female advocates, Ross and Ratner would not even make the top-10 list for men.

Table 2. Attorneys with the most appearances by sex, 2018–20 terms

Table 3 shows linguistic differences in male and female attorneys’ arguments. Ringsmuth et al. (Reference Ringsmuth, Sag, Johnson and Jacobi2023) note that the average argument length increased after the shift to teleconference arguments; I find that this increase is largely driven by women. While men speak more than women in terms of word count and percentage of time before COVID-19, women utter more words during their arguments than men and have a greater percentage of speaking time relative to justices during teleconference arguments. In this sense, the format shift in oral arguments increased gender equity. Alternatively, this may indicate that justices are more sensitive to gendered interruptions. Yet in terms of gendered content, women actually use less affective language and function words than men in both modalities. This is consistent with previous work noting that minorities often adopt dominant group behavior to downplay the salience of difference (Gleason, Jones, and McBean Reference Gleason, Jones and McBean2017; Kanter Reference Kanter1977). Additionally, women tend to cluster around the mean levels of both affective language and function word usage. Since women do not reach high levels of gender normativity in oral arguments, they should be less successful in both formats. I now turn to the results of my predictive models.

Table 3. Linguistic differences between male and female attorneys, pre- and post-COVID

My models, one for in-person arguments and the other for teleconference arguments, appear in Table 4. Since my main argument is conditional, the expectations can only be properly assessed via interaction terms. Moreover, interaction terms cannot be evaluated in the same manner as additive terms; they are best evaluated graphically (Brambor, Clark, and Golder Reference Brambor, Clark and Golder2006).

Table 4. Predictors of attorney success

Note: Standard errors clustered on justice parentheses.

* p < .05

** p < .01

*** p < .001.

Figure 1 displays the interactions between female attorneys and affective language (function words) for in-person arguments. The first panel depicts affect; the second shows function words. In each panel, the x -axis represents the standardized value of affective language (function words) in attorney arguments. The y-axis shows the marginal effect of attorney sex on success at that particular level of affect (function words). Should the reference line at y = 0 fall within the dashed 95% confidence intervals, the interaction is not significant at that particular level. The interaction for affective language, in the left panel, tracks with previous work. The positive slope indicates that as female attorneys use more affective language, their arguments become more successful. At the mean level of affect, the predicted probability of female attorney success is 0.280. However, increasing to one standard deviation above the mean (e.g., becoming more gender normative) increases the predicted probability of success to .490. Function words, depicted in the right panel, are always significant. However, the effect is flat: moving from the mean value of function word usage to one standard deviation above the mean decreases the predicted probability of success from 0.217 to 0.209, a change of just 0.008. Ultimately, the difference between low function word usage and high function word usage has little substantive impact on female attorney success during in-person arguments.

Figure 1. Impact of affective language and function words on female attorney success during in-person arguments.

Figure 2 is structured the same as Figure 1. However, it depicts teleconference arguments. The left panel is in line with the in-person arguments results presented earlier; female attorneys are more successful when their arguments contain more affective language. Whereas female attorneys’ predicted probability of success at the mean level of affect is 0.168, this increases to 0.275 one standard deviation above the mean. In contrast with the in-person model, female attorneys are more successful when their arguments contain more gender-normative levels of function words. At the mean level of function words, female attorneys’ predicted probability of success is 0.357. However, increasing function word usage by one standard deviation increases the predicted probability of success to 0.588. Thus, while there is continuity from in-person to teleconference arguments for affect, function words only substantively predict female attorney success after the shift. This provides support for my argument that changing modality alters how justices evaluate attorneys’ gender performance.

Figure 2. Impact of affective language and function words on female attorney success during teleconference arguments.

A logical follow-up question is how gender-normative language impacts male attorney success across modalities. To assess this, I reestimate the models with a male attorney variable rather than a female attorney variable. In-person oral arguments are shown in Figure 3; male attorneys are progressively less successful as affective language increases. Recall that lower values of affect are gender normative for men. Moving from the mean level of affective language to one standard deviation above the mean drops the predicted probability of male attorney success by 0.210. Function word usage is always significant, but it is relatively flat and has little substantive effect on attorney success. Indeed, moving from the mean level of affective language to one standard deviation above the mean only shifts the predicted probability of success down by 0.01.

Figure 3. Impact of gender-normative language on male attorney success during in-person arguments.

Men’s results for teleconference arguments, shown in Figure 4, demonstrate that shifting the context alters the importance of function words. The left panel demonstrates that male attorneys are less successful as affective language increases. Moving from the mean level of affective language to one standard deviation above the mean reduces the predicted probability of success by 0.107. The right panel demonstrates that male attorneys are less successful as their function word usage increases. Moving from the mean level of function words to one standard deviation above the mean reduces the predicted probability of success by 0.231. Substantively, the results here are the same as for female attorneys: more gender-normative language leads to more success, although the metrics used to assess gender-normative arguments change with the modality. Critically, though, male attorneys do not need to strike a balance between gender and professional norms; they are coextensive for men. This means that it is easier for men to meet shifting gender-normative expectations than for women.

Figure 4. Impact of gender-normative language on male attorney success during teleconference arguments.

A number of control variables achieve statistical significance. While the results are largely consistent with previous work, there are notable differences between in-person and teleconference modalities. This underscores that the changing context impacts multiple predictors of attorney success. Since logit coefficients are unintuitive, I discuss substantive effects as predicted probabilities.Footnote 17 I begin with the differences between modalities before discussing common predictors.

Attorneys affiliated with the federal government have a predicted probability of success 0.351 higher than their peers during in-person oral arguments. However, during teleconference arguments, government attorneys’ predicted probability of success is 0.370 lower than their opponents. This suggests the federal government struggled to pivot modalities. Former clerks have a predicted probability of success 0.377 higher than their nonclerk counterparts, but only after the shift. This may bespeak a familiarity with the Court that makes pivoting easier. Female attorneys have a predicted probability of success 0.339 higher when arguing in front of female justices, but only during in-person arguments. This suggests that male justices took heed of the increased salience of gender dynamics (e.g., Feldman Reference Feldman2019; Jacobi and Schweers Reference Jacobi and Schweers2017; Quinn Reference Quinn2021). A one standard deviation increase in interruptions decreases the predicted probability of success by 0.109. This is only true before the shift to teleconference arguments, perhaps because the new format removed the “free-for-all” nature of oral arguments (Ringsmuth et al. Reference Ringsmuth, Sag, Johnson and Jacobi2023) and some of the underlying gendered elements therein (e.g., Ferran and Watts Reference Ferran and Watts2008). Underscoring the difficulty of shifting formats, attorneys arguing in May 2020 have a predicted probability of success 0.114 lower than their counterparts who did not argue in the immediate aftermath of the shift. This provides evidence for an acclimation period (Bergeron, Reference Bergeron2021; Houston, Johnson, and Ringsmuth Reference Houston, Johnson and Ringsmuth2023). Collectively, shifting the context alters several predictors of attorney success.

There is also continuity between modalities.Footnote 18 Attorneys opposing the federal government have a predicted probability of success 0.437 lower than their federal counterparts. Attorneys representing petitioners have a predicted probability of success 0.177 higher than those representing respondents. A one standard deviation increase in amicus brief advantage increases the predicted probability of success by 0.198. A one standard deviation increase in ideological congruence increases the predicted probability of success by 0.144. Finally, a one standard deviation increase in argument cognitive complexity increases the predicted probability of success by 0.031. This demonstrates that while shifting the format resulted in changes, there is still continuity between modalities.

Discussion

While oral arguments have changed historically (e.g., Black, Johnson, and Owens Reference Black, Johnson and Owens2018), few changes compare to the sea change ushered in by the COVID-19 pandemic (e.g., Jacobi et al. Reference Jacobi, Johnson, Ringsmuth and Sag2021; Litman Reference Litman2020–22; Ringsmuth et al. Reference Ringsmuth, Sag, Johnson and Jacobi2023). Teleconference arguments did more than remove justices and attorneys from the room; they changed justices’ evaluative framework for attorneys’ gender performance. Prior to the pandemic, attorneys were more successful using gender-normative levels of affective language. Function words, long a mainstay of gender performance in other contexts (Chung and Pennebaker Reference Chung, Pennebaker and Fiedler2007), do not substantively impact jurists’ evaluations of attorneys. During teleconference arguments, however, affect still predicts success; but so, too, does function word usage. While both female and male attorneys are rewarded for gender-norm compliance, it is more difficult for female attorneys because they must navigate a double bind between competing gender and professional norms (Gleason and Smart Reference Gleason and Smart2023; Rhode Reference Rhode1994). The balance becomes more difficult during teleconference arguments. This raises questions about female attorneys’ ability to have a substantive impact on case law binding throughout the country. While this is normatively concerning in any context, it is particularly so at a time when gender is especially salient in the wake of the Dobbs v. Jackson decisionFootnote 19 and the #MeToo movement. These results underscore the need for future research to arrive at a more complete understanding of how context shapes evaluations of gender performance.

While I focus here on female attorneys, it is also critical to understand men’s gender performance. I note that male attorneys are more successful when using gender-normative levels of affect and function words, depending on the context. However, male gender norms are more complex than the inverse of female gender norms (e.g., Moss-Racusin, Phelan, and Rudman Reference Moss-Racusin, Phelan and Rudman2010). A growing literature notes how masculinity shapes political outcomes (see, e.g., McDermott Reference McDermott2016; Palmer and Peterson Reference Palmer and Peterson2020; Ralph-Morrow Reference Ralph-Morrow2022). Moreover, context is likewise important in evaluations of masculinity (e.g., Karl and Cormack Reference Karl and Cormack2023). Specific to the judiciary, men are evaluated more harshly when litigating from a position of weakness or fear; women are more successful when doing so (Gill, Kagan, and Marouf Reference Gill, Kagan and Marouf2017). More research on masculinity will perhaps shed light on additional layers of complexity about how multiple gender-normative expectations may be jointly at play.

Differences in institutional arrangements provide unique opportunities to further explore how context generally and gender norms specifically shape outcomes (e.g., Escobar-Lemmon et al. Reference Escobar-Lemmon, Hoekstra, Kang and Kittilson2021; Goelzhauser Reference Goelzhauser2018; Kaheny et al. Reference Kaheny, Szmer, Hansen and Scheurer2015). Particularly since staffing impacts a host of judicial outcomes (see, e.g., Collins, Manning, and Carp Reference Collins, Manning and Carp2010; Harris Reference Harris2023; Kaheny et al. Reference Kaheny, Szmer, Hansen and Scheurer2015; Leonard and Ross Reference Leonard and Ross2020), it is likely that replicating this study at state supreme, lower federal, and comparative apex courts will provide a more nuanced and complete understanding of how institutions shape gender evaluations during in-person and remote arguments. While this could take many forms, one of the most promising avenues is looking beyond the spoken word.

Like most oral argument studies, I focus on spoken language. However, approximately 60% of all communication is nonverbal (Schill Reference Schill2012). Much like verbal communication, men and women face different nonverbal gender norms. For example, men typically use expansive and open postures, whereas women employ closed and contractive postures (Cashdan Reference Cashdan1998). Women use less assertive hand motions than men (Everitt, Best, and Gaudet Reference Everitt, Best and Gaudet2016), and they are often evaluated harshly for angry facial expressions (e.g., Boussalis et al. Reference Boussalis, Coan, Holman and Muller2021). Because the Court bans cameras, it is difficult to impossible to explore most forms of nonverbal communication there. However, cameras were a mainstay at several courts before the pandemic (e.g., Black et al. Reference Black, Johnson, Owens and Wedeking2023), and many utilized Zoom during COVID-19 (Bergeron Reference Bergeron2021). In tandem with recent innovations in video processing allowing for frame-by-frame analysis of facial expressions (Boussalis et al. Reference Boussalis, Coan, Holman and Muller2021) and postures (Everitt, Best, and Gaudet Reference Everitt, Best and Gaudet2016; Neumann, Fowler, and Ridout Reference Neumann, Fowler and Ridout2022), scholars should examine how nonverbal gender norms impact outcomes across multiple courts. These studies should not occur in isolation; nonverbal and verbal communication often operate in tandem, particularly for women (Masters et al. Reference Masters, Sullivan, Feola and McHugo1987). A female candidate might deliver a masculine message while dressed in a stereotypically feminine manner with an image backdrop of families or education (e.g., Carpinella and Bauer Reference Carpinella and Bauer2021). Intuitively, female attorneys likely employ the same strategy (e.g., Cuddy et al. Reference Cuddy, Wilmuth, Yap and Carney2015; Tiedens and Fragale Reference Tiedens and Fragale2003).

While justice votes are consequential, they are the culmination of oral arguments. In order to arrive at a full understanding of how gender performance operates at the Court, it is important to look at the dynamics between justices and attorneys during oral arguments. This can be best accomplished via interruptions (Patton and Smith Reference Patton and Smith2020). Interruptions are a key way justices gather information (Black, Johnson, and Wedeking Reference Black, Johnson and Wedeking2012), and justices traditionally interrupt attorneys at will at any point (Wrightsman Reference Wrightsman2008). No attorney is immune to interruptions, but they are not evenly distributed. Women are generally interrupted more than men (Lindom, Gregory, and Johnson Reference Lindom, Gregory and Johnson2017; Patton and Smith Reference Patton and Smith2017), often based on assumptions of competence (Patton and Smith Reference Patton and Smith2020).Footnote 20 Since interruptions take control of the narrative from the speaker before she fully articulates her ideas, the greater propensity for female attorneys to be interrupted not only limits success, but also her substantive impact on case law (e.g., Och Reference Och2020; Vera and Vidal Reference Vera and Vidal2022). While scholars know that women are interrupted more frequently than men at oral arguments (see, e.g., Patton and Smith Reference Patton and Smith2017, Reference Patton and Smith2020), little is known about how the words attorneys use impact interruptions. Future scholars should explore this further.

It is also worthwhile to explore gender norms in other modalities. Since the Court transitioned back to in-person arguments in October 2021, the traditional “free-for-all” argument is now followed by dedicated question time for each justice (Houston, Johnson, and Ringsmuth Reference Houston, Johnson and Ringsmuth2023). This represents a unique “hybrid” modality that, while in person, contains elements of two distinct approaches to oral arguments. At the same time, the dynamics on the Court itself continue to change. With the confirmation of Justice Ketanji Brown Jackson, the Court is at a historic high in terms of gender diversity on the Bench and in the law clerk corps. This in and of itself can change gender norms’ operation (Gleason and Smart Reference Gleason and Smart2023; Kaheny et al. Reference Kaheny, Szmer, Hansen and Scheurer2015) and should be explored.

When attorneys present oral arguments, their words are filtered through a gendered lens. That lens, though, is context dependent. Examining both in-person and teleconference oral arguments, I demonstrate that justices evaluate female attorneys’ arguments using different gender-normative metrics across contexts. This poses few problems for male attorneys; the norms of a good man and a good attorney are coextensive. This is more difficult for women, as these expectations are competing. These results add a new wrinkle to the already delicate balance female attorneys must strike between gender and professional norms in order to substantively shape case law (Gleason Reference Gleason2020; Kanter Reference Kanter1977). My results also raise numerous normative and empirical questions, which I encourage future scholars to explore.

Supplementary material

The supplementary material for this article can be found at http://doi.org/10.1017/S1743923X23000594.

Acknowledgments

Previous versions of this paper were presented at the 2022 Annual Meeting of the Southern Political Science Association and the 2022 Women & Politics Workshop and Writing Retreat at Tulane University. I thank Victoria Lovato for able research assistance. Reproduction materials will appear on the author’s website (http://shanegleason.com) six months after this article appears in print. Additionally, reproduction materials will be included on the Harvard Dataverse.

Footnotes

1. There are multiple ways to define attorney success inclusive of organizational maintenance (Caldeira and Wright Reference Caldeira and Wright1990), incorporating favorable policies into the opinion (Spriggs and Wahlbeck Reference Spriggs and Wahlbeck1997), and securing justice votes (McGuire Reference McGuire1995). Keeping with prior work on sex and attorney success (see, e.g., Gleason Reference Gleason2020; Patton and Smith Reference Patton and Smith2020; Szmer, Sarver, and Kaheny Reference Szmer, Sarver and Kaheny2010), I adopt the latter measure.

2. This also occurs in written briefs (Gleason, Jones, and McBean Reference Gleason, Jones and McBean2019).

3. This underscores that while “sex” and “gender” are often used interchangeably, they are conceptually different (Gleason Reference Gleason2020). Sex refers to the typical binary distinction between men and women. Gender is the socially constructed set of expectations of how men and women should act based on that binary (Butler Reference Butler1999; McDermott and Hatemi Reference McDermott and Hatemi2011).

4. In a similar vein, female justices are also more likely to be interrupted by their male colleagues (Feldman and Gill Reference Feldman and Gill2019).

5. Roberts was also more forgiving of ideological allies (Jacobi et al. Reference Jacobi, Johnson, Ringsmuth and Sag2021).

6. I limit my sample to cases in which exactly one attorney argues for the petitioner and one argues for the respondent. I exclude cases with multiple attorneys appearing for either party to isolate the impact of each attorney (Gleason Reference Gleason2020). Since amici at oral arguments alter both the argument and the gender dynamics (Gleason and Ivy Reference Gleason and Ivy2021), I exclude cases with oral amici. Additionally, since justices routinely draw on briefs that are gender normative (Gleason, Jones, and McBean Reference Gleason, Jones and McBean2019), I exclude cases with multiple briefs for the petitioner (respondent). I run a control model in which briefs with multiple petitioner (respondent) briefs included. It appears, along with several other alternative specifications, in Table A1 in the Appendix. The results are substantively unchanged.

7. In some instances, attorneys are referred to as “general.” For those attorneys, I do a Google search for either news accounts or law firm websites and look for pronouns—for instance, “Her practice areas are” or “He served as a law clerk.”

8. Keeping with standard practice, I standardize the resulting value (Gleason Reference Gleason2020; Wedeking Reference Wedeking2010).

9. 592 U.S. ___ (2021).

10. 591 U.S. ___ (2020).

11. I also run a consolidated model that uses three-way interaction terms to combine both modalities into a single mode. The results, which appear in Table A2 and Figure A1 in the Appendix, are substantively the same as those presented here.

12. Other parties can also be formidable opponents. Accordingly, I run an alternative specification using attorneys’ and their opponents’ party capability scores (Galanter Reference Galanter1974), as operationalized by Szmer, Sarver, and Kaheny (Reference Szmer, Sarver and Kaheny2010). These models are included in Table A1 in the Appendix. The results are substantively similar to those presented here.

13. I also create a binary measure noting when attorneys argue before the justice they previously clerked for (Black and Owens Reference Black and Owens2021). The results are substantively unchanged.

14. In the interest of parsimony, I do not display the resulting coefficients. They are presented in Table A3 in the Appendix.

15. I run several alternative specifications to account for possible collinearity; the results are substantively unchanged.

16. I run an alternative specification with standard errors clustered on the case. The results are substantively unchanged.

17. Predicted probabilities are averaged across all observed values of the independent variables

(Hanmer and Kalkan Reference Hanmer and Kalkan2013).

18. To facilitate ease of interpretation, all predicted probabilities are calculated from Model 1.

19. 597 U.S. ___ (2022).

20. Importantly, female justices are also more likely to be interrupted by male justices and attorneys (Jacobi and Schweers Reference Jacobi and Schweers2017).

References

Anzia, Sarah F., and Berry, Christopher R.. 2011. “The Jackie (and Jill) Robinson Effect: Why Do Congresswomen Outperform Congressmen?American Journal of Political Science 55 (3): 478–93.CrossRefGoogle Scholar
Areni, Charles S., and Sparks, John R.. 2005. “Language Power and Persuasion.” Psychology & Marketing 22 (6): 507–25.CrossRefGoogle Scholar
Bakan, David. 1966. The Duality of Human Existence: Isolation and Communion in Western Man. Boston: Beacon Press.Google Scholar
Bauer, Nichole M. 2017. “The Effects of Counterstereotypic Gender Strategies on Candidate Evaluations.” Political Psychology 38 (2): 279–95.CrossRefGoogle Scholar
Bergeron, Pierre H. 2021. “COVID-19, Zoom, and Appellate Oral Argument: Is the Future Virtual?Journal of Appellate Practice and Process 21 (1): 193224.Google Scholar
Black, Ryan C., Matthew, E. K. Hall, Owens, Ryan J., and Ringsmuth, Eve M.. 2016. “The Role of Emotional Language in Briefs Before the U.S. Supreme Court.” Journal of Law and Courts 4 (2): 377407.CrossRefGoogle Scholar
Black, Ryan C., Johnson, Timothy R., and Wedeking, Justin. 2012. Oral Arguments and Coalition Formation on the U.S. Supreme Court: A Deliberate Dialogue. Ann Arbor: University of Michigan Press.Google Scholar
Black, Ryan C., Johnson, Timothy R., and Owens, Ryan J.. 2018. “Chief Justice Burger and the Bench: How Physically Changing the Shape of the Court’s Bench Reduced Interruptions During Oral Argument.” Journal of Supreme Court History 43 (1): 8398.Google Scholar
Black, Ryan C., Johnson, Timothy R., Owens, Ryan J., and Wedeking, Justin. 2023. “Televised Oral Arguments and Judicial Legitimacy: An Initial Assessment.” Political Behavior. Published online January 12. https://doi.org/10.1007/s11109-022-09848-5.CrossRefGoogle Scholar
Black, Ryan C., and Owens, Ryan J.. 2012. The Solicitor General and the United States Supreme Court. New York: Cambridge University Press.CrossRefGoogle Scholar
Black, Ryan C., and Owens, Ryan J.. 2021. “TRENDS: The Influence of Personalized Knowledge at the Supreme Court: How (Some) Former Law Clerks Have the Inside Track.” Political Research Quarterly 74 (4): 795807.CrossRefGoogle Scholar
Boussalis, Constantine, Coan, Travis G., Holman, Mirya R., and Muller, Stefan. 2021. “Gender, Candidate Emotional Expression, and Voter Reactions during Televised Debates.” American Political Science Review 115 (4): 1242–57.CrossRefGoogle Scholar
Box-Steffensmeier, Janet M., Christenson, Dino P., and Hitt, Matthew P.. 2013. “Quality over Quantity: Amici Influence and Judicial Decision Making.” American Political Science Review 107 (3): 446–60.CrossRefGoogle Scholar
Boyd, Christina L. 2015. “Opinion Writing in the Federal District Courts.” Justice System Journal 36 (3): 254–73.CrossRefGoogle Scholar
Boyd, Christina L., Epstein, Lee, and Martin, Andrew D.. 2010. “Untangling the Causal Effects of Sex on Judging.” American Journal of Political Science 54 (2): 389411.CrossRefGoogle Scholar
Brambor, Thomas, Clark, William Roberts, and Golder, Matt. 2006. “Understanding Interaction Models: Improving Empirical Analyses.” Political Analysis 14 (1): 6382.CrossRefGoogle Scholar
Bryan, Amanda C., and Ringsmuth, Eve M.. 2016. “Jeremiad or Weapon of Words? The Power of Emotive Language in Supreme Court Opinions.” Journal of Law and Courts 4 (1): 159–85.CrossRefGoogle Scholar
Butler, Judith. 1999. Gender Trouble: Feminism and the Subversion of Identity. 2nd ed. London: Routledge.Google Scholar
Caldeira, Gregory A., and Wright, John R.. 1990. “Amici Curiae before the Supreme Court: Who Participates, When and How Much?The Journal of Politics 52 (3): 782805.CrossRefGoogle Scholar
Carpinella, Colleen, and Bauer, Nichole M.. 2021. “A Visual Analysis of Gender Stereotypes in Campaign Advertising.” Politics, Groups, and Identities 9 (2): 369–86.CrossRefGoogle Scholar
Cashdan, Elizabeth. 1998. “Smiles, Speech, and Body Posture: How Women and Men Display Sociometric Status and Power.” Journal of Nonverbal Behavior 22 (4): 209–28.CrossRefGoogle Scholar
Chaiken, Shelly, and Eagly, Alice. 1983. “Communication Modality as a Determinant of Persuasion: The Role of Communicator Salience.” Journal of Personality and Social Psychology 45 (2): 241–56.CrossRefGoogle Scholar
Cheng, Na, Chandramouli, Rajarathnam, and Subbalakshmi, Koduvayur P.. 2011. “Author Gender Identification from Text.” Digital Investigation 8 (1): 7888.CrossRefGoogle Scholar
Chung, Cindy, and Pennebaker, James. 2007. “The Psychological Function of Function Words.” In Social Communication, edited by Fiedler, Klaus, 343–59. London: Psychology Press.Google Scholar
Collins, Paul M. 2008. Friends of the Supreme Court: Interest Groups and Judicial Decision Making. Oxford: Oxford University Press.CrossRefGoogle Scholar
Collins, Paul M., Manning, Kenneth L., and Carp, Robert A.. 2010. “Gender, Critical Mass, and Judicial Decision Making.” Law & Policy 32 (2): 260–81.CrossRefGoogle Scholar
Collins, Todd A., Dumas, Tao L., and Moyer, Laura P.. 2017. “Intersecting Disadvantages: Race, Gender, and Age Discrimination among Attorneys.” Social Science Quarterly 98 (5): 1642–58.CrossRefGoogle Scholar
Corley, Pamela C. 2008. “The Supreme Court and Opinion Content.” Political Research Quarterly 61 (3): 468–78.CrossRefGoogle Scholar
Cuddy, Amy J. C., Fiske, Susan T., and Glick, Peter. 2008. “Warmth and Competence as Universal Dimensions of Social Perception: The Stereotype Content Model and the BIAS Map.” Advances in Experimental Social Psychology 40: 61149.CrossRefGoogle Scholar
Cuddy, Amy J. C., Wilmuth, Caroline A., Yap, Andy J., and Carney, Dana R.. 2015. “Preparatory Power Posing Affects Nonverbal Presence and Job Interview Performance.” Journal of Applied Psychology 100 (4): 1286–95.CrossRefGoogle ScholarPubMed
Cunningham, Mick. 2001. “Parental Influences on Gendered Division of Housework.” American Sociological Review 66 (2): 184203.CrossRefGoogle Scholar
Curry, Todd A. 2015. “A Look at the Bureaucratic Nature of the Office of the Solicitor General.” Justice System Journal 36 (2): 180–91.CrossRefGoogle Scholar
de Lemus, Soledad, Spears, Russell, and Moya, Miguel. 2012. “The Power of a Smile to Move You: Complementary Submissiveness in Women’s Posture as a Function of Gender Salience and Facial Expression.” Personality and Social Psychology 38 (11): 1480–94.CrossRefGoogle ScholarPubMed
Eagly, Alice H., and Carli, Linda L.. 2007. Through the Labyrinth: The Truth about How Women Become Leaders. Boston: Harvard Business Review.Google Scholar
Eagly, Alice H., and Karau, Steven J.. 2002. “Role Congruity Theory of Prejudice toward Female Leaders.” Psychological Review 109 (3): 573–98.CrossRefGoogle ScholarPubMed
Eagly, Alice H., and Wood, Wendy. 2012. “Social Role Theory.” In Handbook of Theories of Social Psychology, edited by Van Lange, Paul A. M., Kruglanski, Arie W., and Higgins, E. Tory, 458–76. Los Angeles: Sage Publications.CrossRefGoogle Scholar
Escobar-Lemmon, Maria C., Hoekstra, Valerie J., Kang, Alice J., and Kittilson, Miki Caul. 2021. Reimagining the Judiciary: Women’s Representation on High Courts Worldwide. Oxford: Oxford University Press.CrossRefGoogle Scholar
Everitt, Joanna, Best, Lisa A., and Gaudet, Derek. 2016. “Candidate Gender, Behavioral Style, and Willingness to Vote: Support for Female Candidates Depends on Conformity to Gender Norms.” American Behavioral Scientist 60 (14): 1737–55.CrossRefGoogle Scholar
Feldman, Adam. 2017a. “Former Roberts Court Clerks’ Success Litigating before the Supreme Court.” Washington University Journal of Law & Policy 54 (1): 5770.Google Scholar
Feldman, Adam. 2017b. “Opinion Construction in the Roberts Court.” Law & Policy 39 (2): 192209.CrossRefGoogle Scholar
Feldman, Adam. 2019. “Empirical SCOTUS: Is Oral-Argument Talking Time All It’s Cut Out to Be?” SCOTUS Blog, October 21. https://www.scotusblog.com/2019/10/empirical-scotus-is-oral-argument-talking-time-all-its-cut-out-to-be/ (accessed October 12, 2023).Google Scholar
Feldman, Adam, and Gill, Rebecca D.. 2019. “Power Dynamics in Supreme Court Oral Arguments: The Relationship between Gender and Justice-to-Justice Interruptions.” Justice System Journal 40 (3): 173–95.CrossRefGoogle Scholar
Ferran, Carlos, and Watts, Stephanie. 2008. “Videoconferencing in the Field: A Heuristic Processing Model.” Management Science 54 (9): 1565–78.CrossRefGoogle Scholar
Galanter, Marc. 1974. “Why the ‘Haves’ Come Out Ahead: Speculations on the Limits of Legal Change.” Law & Society Review 9 (1): 95160.CrossRefGoogle Scholar
Gawronski, Bertram. 2003. “On Difficult Questions and Evident Answers: Dispositional Inference from Role-Constrained Behavior.” Personality and Social Psychology Bulletin 29 (11): 1459–75.CrossRefGoogle ScholarPubMed
Gill, Rebecca D., Kagan, Michael, and Marouf, Fatma. 2017. “The Impact of Maleness on Judicial Decision Making: Masculinity, Chivalry, and Immigration Appeals.” Politics, Groups, and Identities 7 (3): 509–28.CrossRefGoogle Scholar
Gleason, Shane A. 2020. “Beyond Mere Presence: Gender Norms in Oral Arguments at the U.S. Supreme Court.” Political Research Quarterly 73 (3): 596608.CrossRefGoogle Scholar
Gleason, Shane A., and Ivy, Diana K.. 2021. “As She Was Saying: The Role of Gender & Narrative in Oral Argument Amicus Success.” Justice System Journal 42 (3–4): 416–33.CrossRefGoogle Scholar
Gleason, Shane A., Jones, Jennifer J., and McBean, Jessica Rae. 2017. “Gender Performance in Party Brief Success.” Washington University Journal of Law & Policy 54: 89100.Google Scholar
Gleason, Shane A., Jones, Jennifer J., and McBean, Jessica Rae. 2019. “The Role of Gender Norms in Judicial Decision-Making at the U.S. Supreme Court: The Case of Male and Female Justices.” American Politics Research 47 (3): 494529.CrossRefGoogle Scholar
Gleason, Shane A., and Smart, EmiLee. 2023. “You Think; Therefore I Am: Gender Schemas and Context in Oral Arguments at the Supreme Court, 1979–2016.” Political Research Quarterly 76 (1): 143–57.CrossRefGoogle Scholar
Goelzhauser, Greg. 2018. “Classifying Judicial Selection Institutions.” State Politics & Policy Quarterly 18 (2): 174–92.CrossRefGoogle Scholar
Guadagno, Rosanna E., and Cialdini, Robert B.. 2007. “Persuade Him by Email, but See Her in Person: Online Persuasion Revisited.” Computers in Human Behavior 23 (2): 9991015.CrossRefGoogle Scholar
Haire, Susan B., and Moyer, Laura P.. 2015. Diversity Matters: Judicial Policy Making in the U.S. Courts of Appeals. Charlottesville: University Press of Virginia.Google Scholar
Haire, Susan B., Moyer, Laura P., and Treier, Shawn. 2013. “Diversity, Deliberation, and Judicial Opinion Writing.” Journal of Law and Courts 1 (2): 303–30.CrossRefGoogle Scholar
Hanmer, Michael J., and Kalkan, Kerem Ozan. 2013. “Behind the Curve: Clarifying the Best Approach to Calculating Predicted Probabilities and Marginal Effects from Limited Dependent Variable Models.” American Journal of Political Science 57 (1): 263–77.CrossRefGoogle Scholar
Harris, Allison P. 2023. “Can Racial Diversity among Judges Affect Sentencing Outcomes?” American Political Science Review. Published online June 27. https://doi.org/10.1017/S0003055423000552.CrossRefGoogle Scholar
Heilman, Madeline E., Wallen, Aaron S., Fuchs, Daniella, and Tamkins, Melinda M.. 2004. “Penalties for Success: Reactions to Women Who Succeed at Male Gender-Typed Tasks.” Journal of Applied Psychology 89 (3): 416–27.CrossRefGoogle ScholarPubMed
Houston, Rachael B., Johnson, Timothy R., and Ringsmuth, Eve M.. 2023. SCOTUS and COVID: How the Media Reacted to the Livestreaming of Supreme Court Oral Arguments. Lanham, MD: Rowman & Littlefield.CrossRefGoogle Scholar
Jacobi, Tonja, Johnson, Timothy R., Ringsmuth, Eve M. and Sag, Matthew. 2021. “Oral Arguments in the Time of Covid: The Chief Plays Calvinball.” Southern California Interdisciplinary Law Journal 30: 399460.Google Scholar
Jacobi, Tonja, and Schweers, Dylan. 2017. “Justice Interrupted: The Effect of Gender, Ideology and Seniority at Supreme Court Oral Arguments.” Virginia Law Review 103: 13791496.Google Scholar
Johnson, Timothy R. 2001. “Information, Oral Arguments, and Supreme Court Decision Making.” American Politics Research 29 (4): 331–51.CrossRefGoogle Scholar
Johnson, Timothy R. 2004. Oral Arguments and Decision Making on the United States Supreme Court. Albany: State University of New York Press.Google Scholar
Johnson, Timothy R., Black, Ryan C., Goldman, Jerry and Treul, Sarah A.. 2009. “Inquiring Minds Want to Know: Do Justices Tip Their Hands with Questions at Oral Argument in the U.S. Supreme Court?Washington University Journal of Law & Policy 29: 241–62.Google Scholar
Johnson, Timothy R., Sorenson, Maron W., Cleary, Maggie, and Szarkowicz, Katie. 2021. “Covid-19 and Supreme Court Oral Argument: The Curious Case of Justice Clarence Thomas.” Journal of Appellate Practice and Process 21 (1): 113–62.Google Scholar
Jones, Jennifer J. 2016. “Talk ‘Like a Man’: The Linguistic Styles of Hillary Clinton, 1992–2013.” Perspectives on Politics 14 (3): 625–42.CrossRefGoogle Scholar
Kaheny, Erin B., Szmer, John J., Hansen, Michael A., and Scheurer, Katherine Felix. 2015. “High Court Recruitment of Female Clerks: A Comparative Analysis of the U.S. Supreme Court and the Supreme Court of Canada.” Justice System Journal 36 (4): 355–77.CrossRefGoogle Scholar
Kaheny, Erin B., Szmer, John, and Sarver, Tammy A.. 2011. “Women Lawyers before the Supreme Court of Canada.” Canadian Journal of Political Science 44 (1): 83109.CrossRefGoogle Scholar
Kanter, Rosabeth Moss. 1977. “Some Effects of Proportions on Group Life: Skewed Sex Ratios and Response to Token Women.” American Journal of Sociology 82 (5): 965–90.CrossRefGoogle Scholar
Karl, Kristyn L., and Cormack, Lindsey. 2023. “Big Boys Don’t Cry: Evaluations of Politicians Across Issue, Gender, and Emotion.” Political Behavior 45: 719–40.CrossRefGoogle ScholarPubMed
Karpowitz, Christopher F., and Mendelberg, Tali. 2014. The Silent Sex: Gender, Deliberation, and Institutions. Princeton, NJ: Princeton University Press.Google Scholar
Kearney, Richard C., and Sellers, Holly. 1996. “Sex on the Docket: Reports of State Task Forces on Gender Bias.” Public Administration Review 56 (6): 587–92.CrossRefGoogle Scholar
Lee, Connie. 2015–16. “Gender Bias in the Courtroom: Combating Implicit Bias against Women Trial Attorneys and Litigators.” Cardozo Journal of Law & Gender 22: 229–52.Google Scholar
Leonard, Meghan E., and Ross, Joseph V.. 2020. “Gender Diversity, Women’s Leadership, and Consensus in State Supreme Courts.” Journal of Women, Politics, & Policy 41 (3): 278303.CrossRefGoogle Scholar
Lindom, Tiffany, Gregory, Charles, and Johnson, Timothy R.. 2017. “Gender Dynamics and Supreme Court Oral Arguments.” Michigan State Law Review 5: 1033–56.Google Scholar
Litman, Leah M. 2020–22. “Muted Justice.” University of Pennsylvania Law Review Online 169: 134–66.Google Scholar
Martin, Andrew D., and Quinn, Kevin M.. 2002. “Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953–1999.” Political Analysis 10 (2): 134–53.CrossRefGoogle Scholar
Masters, Roger D., Sullivan, Denis G., Feola, Alice, and McHugo, Gregory J.. 1987. “Television Coverage of Candidates’ Display Behavior during the 1984 Democratic Primaries in the United States.” International Political Science Review 8 (2): 121–30.CrossRefGoogle Scholar
McDermott, Monika L. 2016. Masculinity, Femininity, and American Political Behavior. Oxford: Oxford University Press.CrossRefGoogle Scholar
McDermott, Rose, and Hatemi, Peter K.. 2011. “Distinguishing Sex and Gender.” PS: Political Science and Politics 44 (1): 8992.Google Scholar
McGaughey, Margaret D. 2021. “Remote Oral Arguments in the Age of Coronavirus: A Blip on the Screen or a Permanent Fixture?Journal of Appellate Practice and Process 21 (1): 163–91.Google Scholar
McGuire, Kevin T. 1993. “Lawyers and the U.S. Supreme Court: The Washington Community and Legal Elites.” American Journal of Political Science 37 (2): 365–90.CrossRefGoogle Scholar
McGuire, Kevin T. 1995. “Repeat Players in the Supreme Court: The Role of Experienced Lawyers in Litigation Success.” The Journal of Politics 57 (1): 187–96.CrossRefGoogle Scholar
McGuire, Kevin T. 1998. “Explaining Executive Success in the U. S. Supreme Court.” Political Research Quarterly 51 (2): 505–26.Google Scholar
Moss-Racusin, Corinne A., Phelan, Jule E., and Rudman, Laurie A.. 2010. “When Men Break the Gender Rules: Status Incongruity and Backlash against Modest Men.” Psychology of Men & Masculinity 11 (2): 140–51.CrossRefGoogle Scholar
Neumann, Markus, Fowler, Erika Franklin, and Ridout, Travis N.. 2022. “Body Language and Gender Stereotypes in Campaign Video.” Computational Communication Research 4 (1): 254–74.CrossRefGoogle Scholar
Newman, Matthew L, Groom, Carla J., Handelman, Lori D., and Pennebaker, James W.. 2008. “Gender Differences in Language Use: An Analysis of 14,000 Text Samples.” Discourse Processes 45 (3): 211–36.CrossRefGoogle Scholar
Norgren, Jill. 2018. Stories from Trailblazing Women Lawyers: Lives in the Law. New York: New York University Press.Google Scholar
Och, Malliga. 2020. “Manterrupting in the German Bundestag: Gendered Opposition to Female Members of Parliament?Politics & Gender 16 (2): 388408.CrossRefGoogle Scholar
Olivola, Christopher Y., and Todorov, Alexander. 2010. “Elected in 100 Milliseconds: Appearance-Based Trait Inferences and Voting.” Journal of Nonverbal Behavior 34 (2): 83110.CrossRefGoogle Scholar
Palmer, Carl L., and Peterson, Rolfe D.. 2020. “Toxic Mask-ulinity: The Link between Masculine Toughness and Affective Reactions to Mask Wearing in the COVID-19 Era.” Politics & Gender 16 (4): 1044–51.CrossRefGoogle Scholar
Patton, Dana, and Smith, Joseph L.. 2017. “Lawyer, Interrupted: Gender Bias in Oral Arguments at the US Supreme Court.” Journal of Law and Courts 5 (2): 337–61.CrossRefGoogle Scholar
Patton, Dana, and Smith, Joseph L.. 2020. “Gender, Ideology, and Dominance in Supreme Court Oral Arguments.” Journal of Women, Politics & Policy 41 (4): 393415.CrossRefGoogle Scholar
Pennebaker, James W. 2011. The Secret Life of Pronouns: What Our Words Say about Us. New York: Bloomsbury.CrossRefGoogle Scholar
Pennebaker, James W., Chung, Cindy K., Ireland, Molly, Gonzales, Amy, and Booth, Roger J.. 2007. “The Development and Psychometric Properties of LIWC2007.” https://www.researchgate.net/publication/228650445_The_Development_and_Psychometric_Properties_of_LIWC2007 (accessed October 12, 2023).Google Scholar
Phillips, Blake. 2020. “Research Note: Investigating the Viability of Stylometric Analysis to Attribute Authorship of Supreme Court Opinions.” Justice System Journal 41 (3): 277–87.CrossRefGoogle Scholar
Pitkin, Hanna Fenichel. 1967. The Concept of Representation. Berkeley, CA: University of California Press.CrossRefGoogle Scholar
Quinn, Melissa. 2021. “Sotomayor Says Supreme Court Adjusted Argument Format Partly over Interruptions of Female Justices.” CBS News, October 14. https://www.cbsnews.com/news/supreme-court-justice-sonia-sotomayor-oral-arguments-female-justices-interruptions (accessed October 12, 2023).Google Scholar
Ralph-Morrow, Elizabeth. 2022. “The Right Men: How Masculinity Explains the Radical Right Gender Gap.” Political Studies 70 (1): 2644.CrossRefGoogle Scholar
Rhode, Deborah L. 1994. “Gender and Professional Roles.” Fordham Law Review 63 (1): 3972.Google Scholar
Ringsmuth, Eve M., Bryan, Amanda C., and Johnson, Timothy R.. 2013. “Voting Fluidity and Oral Arguments on the U.S. Supreme Court.” Political Research Quarterly 66 (2): 429–40.CrossRefGoogle Scholar
Ringsmuth, Eve M., Sag, Matthew, Johnson, Timothy R., and Jacobi, Tonja. 2023. “SCOTUS in the Time of COVID: The Evolution of Justice Dynamics during Oral Arguments.” Law & Policy 45 (1): 6680.CrossRefGoogle Scholar
Rosenthal, Jeffrey S., and Yoon, Albert H.. 2011. “Judicial Ghostwriting: Authorship on the Supreme Court.” Cornell Law Review 96: 1307–44.Google Scholar
Rosenthal, Robert, and Rubin, Donald B.. 1978. “Interpersonal Expectancy Effects: The First 345 Studies.” Behavioral and Brain Sciences 1 (3): 377–86.CrossRefGoogle Scholar
Rudman, Laurie A., Moss-Racusin, Corinne A., Phelan, Julie E., and Nauts, Sanne. 2012. “Status Incongruity and Backlash Effects: Defending the Gender Hierarchy Motivates Prejudice against Female Leaders.” Journal of Experimental Social Psychology 48 (1): 165–79.CrossRefGoogle Scholar
Schill, Dan. 2012. “The Visual Image and the Political Image: A Review of Visual Communication Research in the Field of Political Communication.” The Review of Communication 12 (2): 118–42.CrossRefGoogle Scholar
Segal, Jeffrey A., and Spaeth, Harold J.. 2002. The Supreme Court and the Attitudinal Model Revisited. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Shaw, Sylvia. 2000. “Language, Gender and Floor Apportionment in Political Debates.” Discourse & Society 11 (3): 401–18.CrossRefGoogle Scholar
Shih, Margaret, Pittinsky, Todd L., and Ambady, Nalini. 1999. “Stereotype Susceptibility: Identity Salience and Shifts in Quantitative Performance.” Psychological Science 10 (1): 8083.CrossRefGoogle Scholar
Solberg, Rorie Spill, and Diascro, Jennifer Segal. 2020. “A Retrospective on Obama’s Judges: Diversity, Intersectionality, and Symbolic Representation.” Politics, Groups, and Identities 8 (3): 471–87.CrossRefGoogle Scholar
Songer, Donald R., Davis, Sue, and Haire, Susan. 1994. “A Re-appraisal of Diversification in the Federal Courts: Gender Effects in the Courts of Appeals.” Journal of Politics 56 (2): 425–39.CrossRefGoogle Scholar
Spaeth, Harold J., Epstein, Lee, Martin, Andrew D., Segal, Jeffrey A., Ruger, Theodore J., and Benesh, Sara C.. 2021. “Supreme Court Database, Version 2021 Release 01.” http://supremecourtdatabase.org (accessed October 21, 2023).Google Scholar
Spriggs, James F., and Wahlbeck, Paul J.. 1997. “Amicus Curiae and the Role of Information at the Supreme Court.” Political Research Quarterly 50 (2): 365–86.CrossRefGoogle Scholar
Szmer, John J., Kaheny, Erin B., and Sarver, Tammy A.. 2021. “ ‘I Haven’t Come a Long Way, and I’m Not a Baby’: Task Assignment and Diversity of the Supreme Court Bar.” Social Science Quarterly 102 (6): 2907–29.CrossRefGoogle Scholar
Szmer, John, Kaheny, Erin B., Sarver, Tammy A., and DeCamillis, Mason. 2013. “The Impact of Attorney Gender on Decision Making in the United States Courts of Appeal.” Journal of Women, Politics, & Policy 34 (1): 72100.CrossRefGoogle Scholar
Szmer, John J., Sarver, Tammy A., and Kaheny, Erin B.. 2010. “Have We Come a Long Way, Baby? The Influence of Attorney Gender on Supreme Court Decision Making.” Politics & Gender 6 (1): 136.CrossRefGoogle Scholar
Tiedens, Larissa Z., and Fragale, Alison R.. 2003. “Power Moves: Complementarity in Dominant and Submissive Nonverbal Behavior.” Journal of Personality and Social Psychology 84 (3): 558–68.CrossRefGoogle ScholarPubMed
Tillman, Elizabeth A., and Hinkle, Rachael K.. 2018. “Of Whites and Men: How Gender and Race Impact Authorship of Published and Unpublished Opinions in the US Courts of Appeals.” Research & Politics 5 (1). https://doi.org/10.1177/2053168018762869.CrossRefGoogle Scholar
Uleman, James S., Saribay, S. Adil, and Gonzalez, Celia M.. 2008. “Spontaneous Inferences, Implicit Impressions, and Implicit Theories.” Annual Review of Psychology 59: 329–60.CrossRefGoogle ScholarPubMed
Vera, Sebastian Vallejo, and Vidal, Analia Gomez. 2022. “The Politics of Interruptions: Gendered Disruptions of Legislative Speeches.” The Journal of Politics 84 (3): 13841402.Google Scholar
Wedeking, Justin. 2010. “Supreme Court Litigants and Strategic Framing.” American Journal of Political Science 54 (3): 617–31.CrossRefGoogle Scholar
Winkle, John W., and Wedeking, Justin. 2003. “Perceptions and Experiences of Gender Fairness in Mississippi Courts.” Judicature 87 (3): 126–34.Google Scholar
Witt, Melissa Guerrero, and Wood, Wendy. 2010. “Self-Regulation of Gendered Behavior in Everyday Life.” Sex Roles 62 (9–10): 635–46.CrossRefGoogle Scholar
Wrightsman, Lawrence S. 2008. Oral Arguments before the Supreme Court: An Empirical Approach. New York: Oxford University Press.CrossRefGoogle Scholar
Yu, Bei. 2014. “Language and Gender in Congressional Speech.” Literacy and Linguistic Computing 29 (1): 118–32.CrossRefGoogle Scholar
Figure 0

Table 1. Male and female attorneys at the Supreme Court

Figure 1

Table 2. Attorneys with the most appearances by sex, 2018–20 terms

Figure 2

Table 3. Linguistic differences between male and female attorneys, pre- and post-COVID

Figure 3

Table 4. Predictors of attorney success

Figure 4

Figure 1. Impact of affective language and function words on female attorney success during in-person arguments.

Figure 5

Figure 2. Impact of affective language and function words on female attorney success during teleconference arguments.

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Figure 3. Impact of gender-normative language on male attorney success during in-person arguments.

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Figure 4. Impact of gender-normative language on male attorney success during teleconference arguments.

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