Skip to main content Accessibility help
×
Hostname: page-component-586b7cd67f-dsjbd Total loading time: 0 Render date: 2024-11-22T09:46:57.961Z Has data issue: false hasContentIssue false

References

Published online by Cambridge University Press:  03 November 2022

Steven Lloyd Wilson
Affiliation:
Brandeis University, Massachusetts
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2022

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Alkulaib, Lulwah, Alhamadani, Abdulaziz, Ji, Taoran, and Lu, Chang-Tien (2019). “Collect ethically: reduce bias in Twitter datasets.” In Annual International Symposium on Information Management and Big Data. Springer, pp. 106114.Google Scholar
Anastasopoulos, L. Jason, Badani, Dhruvil, Lee, Crystal, Ginosar, Shiry, and Williams, Jake (2016). “Photographic home styles in Congress: a computer vision approach.arXiv preprint arXiv:1611.09942.Google Scholar
Anastasopoulos, L. Jason, Badani, Dhruvil, Lee, Crystal, Ginosar, Shiry, and Williams, Jake Ryland (2017). “Political image analysis with deep neural networksUniversity of Georgia.Google Scholar
Anderson, Benedict (1983). Imagined Communities: Reflections on the Origin and Spread of Nationalism. Verso.Google Scholar
Bailey, Michael, Dittrich, David, and Kenneally, Erin (2013). “Applying ethical principles to information and communication technology research.” URL: www.dhs.gov/csd-resources.Google Scholar
Bailey, Michael, Dittrich, David, Kenneally, Erin, and Maughan, Doug (2012). “The Menlo report: ethical principles guiding information and communication technology research.” URL: www.dhs.gov/sites/default/files/publications/CSD-MenloPrinciplesCORE-20120803_1.pdf.Google Scholar
Bollen, Johan, Mao, Huina, and Zeng, Xiaojun (2011). “Twitter mood predicts the stock market.Journal of Computational Science 2.1, pp. 18.CrossRefGoogle Scholar
Bride, Brian E., Radey, Melissa, and Figley, Charles R. (2007). “Measuring compassion fatigue.Clinical Social Work Journal 35.3, pp. 155163.CrossRefGoogle Scholar
Campan, Alina, Atnafu, Tobel, Marius Truta, Traian, and Nolan, Joseph (2018). “Is data collection through Twitter streaming API useful for academic research?” In 2018 IEEE International Conference on Big Data (Big Data). IEEE, pp. 36383643.Google Scholar
Castells, Manuel (2015). Networks of Outrage and Hope: Social Movements in the Internet Age. Polity.Google Scholar
Castillo, Carlos (2016). Big Crisis Data: Social Media in Disasters and Time-Critical Situations. Cambridge University Press,CrossRefGoogle Scholar
Chadwick, Andrew and Howard, Philip N. (2010), Routledge Handbook of Internet Politics. Taylor & Francis.Google Scholar
Chen, Kaiping, Duan, Zening, and Yang, Sijia (2021). “Twitter as research data: tools, costs, skill sets, and lessons learnedPolitics and the Life Sciences 41.1, pp. 117.Google Scholar
Chuang, Jason, Manning, Christopher D., and Heer, Jeffrey (2012). “Termite: visualization techniques for assessing textual topic models.” In Proceedings of the International Working Conference on Advanced Visual Interfaces, pp. 7477.Google Scholar
Clifton, Chris (2015). “Ethics review process as a foundation for ethical thinking.” URL: https://bigdata.fpf.org/wp-content/uploads/2015/12/Clifton-Ethical-Review-Process-as-a-Foundatio-for-Ethical-Thinking.pdfGoogle Scholar
Colneric, Niko and Demsar, Janez (2020). “Emotion recognition on Twitter: comparative study and training a unison model.” In IEEE Transactions on Affective Computing 11.3, pp. 433446.CrossRefGoogle Scholar
CSMaP (2022). CSMaP Data Collections and Analysis Tools. DOI: 10.52 81/zenodo.5090728. URL: https://csmapnyu.org/data-collections-and-analysis-tools/.Google Scholar
Data.gov (2020), Data.gov. URL: www.data.gov/.Google Scholar
Dickson-Swift, Virginia, James, Erica L., Kippen, Sandra, and Liamputtong, Pranee (2008). “Risk to researchers in qualitative research on sensitive topics: issues and strategies.Qualitative Health Research 18.1, pp. 133144.CrossRefGoogle Scholar
Diesner, Jana and Chin, Chieh-Li (2015). “Usable ethics: practical considerations for responsibly conducting research with social trace data.Big Data Ethics. URL: https://bigdata.fpf.org/papers/usable-ethics-practical-considerations-for-responsibly-conducting-research-with-social-trace-data/.Google Scholar
Dingwall, Robert (2017). “Social sciences lose out again in Common Rule reform.Nature Human Behaviour 1.4, p. 1.Google Scholar
Dutton, William H. (2013). The Oxford Handbook of Internet Studies. Oxford University Press.CrossRefGoogle Scholar
Etherington, Kim (2007). “Working with traumatic stories: from transcriber to witness.International Journal of Social Research Methodology 10.2, pp. 8597.Google Scholar
Farrell, Henry (2012). “The consequences of the internet for polities.Annual Review of Political Science 15.1, pp. 3552.Google Scholar
Figley, Charles R. (1985). Trauma and its Wake. Routledge.Google Scholar
Figley, Charles R. (1995). Compassion Fatigue: Coping with Secondary Traumatic Stress Disorder in Those Who Treat the Traumatized. Brunner-Routledge.Google Scholar
Figley, Charles R. (2002). Treating Compassion Fatigue. Brunner-Routledge.Google Scholar
Figley, Charles R. and Roop, Robert G. (2006). Compassion Fatigue in the Animal Care Community. Humane Society Press.Google Scholar
Franzke, Aline Shakti, Bechmann, Anja, Zimmer, Michael, Ess, Charles, and the Association of Internet Researchers (2020). Internet Research: Ethical Guidelines 3.0. Tech, rep. Association of Internet Researchers.Google Scholar
Fuchs, Christian (2017). Social Media: A Critical Introduction. Sage.Google Scholar
GADM (2020). Database of Global Administrative Areas. URL: https://gadm.org/.Google Scholar
Gallego, Jorge, David Martinez, Juan, Munger, Kevin, and Vásquez-Cortés, Mateo (Dec. 2019). “Tweeting for peace: experimental evidence from the 2016 Colombian plebiscite.Electoral Studies 62, p. 102072.CrossRefGoogle Scholar
Garfinkel, Simson (2017). “Beyond IRBs: designing ethical review processes for big data research.Future of Privacy Forum. URL: https://fpf.org/2016/01/15/winning-privacy-papers-for-policymakers/.Google Scholar
Gellner, Ernest (Dec. 1983). Nations and Nationalism. Cornell University Press.Google Scholar
Gelman, Jeremy and Wilson, Steven (2021). “Measuring congressional partisanship and its consequences.Legislative Studies Quarterly 47.1, pp. 225256.Google Scholar
Gelman, Jeremy, Lloyd Wilson, Steven, and Petrarca, Constanza Sanhueza (2021). “Mixing messages: how candidates vary in their use of TwitterJournal of Information Technology & Politics 18.1, pp. 101115,Google Scholar
Guess, Andrew, Nagler, Jonathan, and Tucker, Joshua (2019). “Less than you think: prevalence and predictors of fake news dissemination on Faeebook.Science Advances 5.1, eaau4586.Google Scholar
Halavais, Alexander (2011). “Open up online researchNature 480.7376, pp. 174175.Google Scholar
Hashemi, Layla, Wilson, Steven Lloyd, and Petrarca, Constanza Sanhueza (2022). “Investigating the Iranian twittersphere: five hundred days of Farsi Twitter: an overview of what Farsi Twitter looks like, what we know about it, and why it mattersJournal of Quantitative Description: Digital Media 2, pp. 129.Google Scholar
Hibbin, Rebecca A., Samuel, Gabrielle, and Derrick, Gemma E. (2018). “From ‘a fair game’ to ‘a form of covert research’: research ethics committee members’ differing notions of consent and potential risk to participants within social media research.Journal of Empirical Research on Human Research Ethics 13.2, pp. 149159.CrossRefGoogle Scholar
Hill, Kashmir (2019). “How cartographers for the U.S. military inadvertently created a house of horrors in South Africa.” URL: https://gizmodo.com/how-cartographers-for-the-u-s-military-inadvertently-c-1830758394.Google Scholar
Howard, Philip N., Duffy, Aiden, Freelon, Deen, et al. (2011). “Opening closed regimes: what was the role of social media during the Arab Spring?” Available at SSRN 2595096.Google Scholar
Jansen, Bernard J., Zhang, Mimi, Sobel, Kate, and Chowdhury, Abdur (2009). “Twitter power: tweets as electronic word of mouthJournal of the American Society for Information Science and Technology 60.11, pp. 21692188.CrossRefGoogle Scholar
Joo, Jungseock and Steinert-Threlkeld, Zachary C. (2018). “Image as data: automated visual content analysis for political sciencearXiv preprint arXiv:1810.01544.Google Scholar
Jost, John T., Barberá, Pablo, Bonneau, Richard, et al. (Feb. 2018). “How social media facilitates political protest: information, motivation, and social networks.Political Psychology 39, pp. 85118.CrossRefGoogle Scholar
Kummu, Matti, Taka, Maija, and Guillaume, Joseph H. A. (Feb. 2018). “Gridded global datasets for Gross Domestic Product and Human Development Index over 1990-2015.Scientific Data 5.1, pp. 115.Google Scholar
Lapowsky, Issie (2019). “Your old tweets give away more location data than you think.” URL: www.wired.com/story/twitter-location-data-gps-privacy/.Google Scholar
Lazer, David, Hargittai, Eszter, Freelon, Deen, et al. (2021). “Meaningful measures of human society in the twenty-first century.Nature 595.7866, pp. 189196,CrossRefGoogle ScholarPubMed
Lerman, Kristina and Ghosh, Rumi (2010). “Information contagion: an empirical study of the spread of news on Digg and Twitter social networks.” arXiv preprint arXiv:1003.2664.Google Scholar
Lewis, Kevin, Kaufman, Jason, Gonzalez, Marco, Wimmer, Andreas, and Chris-takis, Nicholas (2008). “Tastes, ties, and time: a new social network dataset using Facebook.com.Social Networks 30, pp. 330342.CrossRefGoogle Scholar
Littman, Justin (2017). 115th U.S. Congress Tweet Ids. Version V5, DOI: 10.7910/DVN/UIVHQR.CrossRefGoogle Scholar
Littman, Justin (2018). Ireland 8th Tweet Ids. Version VI. DOI: 10.7910/DVN/PYCLPE.CrossRefGoogle Scholar
Loyle, Cyanne E. and Simoni, Alicia (2017). Researching under fire: political science and researcher trauma. PS - Political Science and Politics 50.1, pp. 141145.Google Scholar
Manning-Jones, Shekinah, De Terte, Ian, and Stephens, Christine (2016). “Secondary traumatic stress, vicarious posttraumatic growth, and coping among health professionals: a comparison study.New Zealand Journal of Psychology 45.1, pp. 2029.Google Scholar
Markham, Annette and Buchanan, Elizabeth (2012). Ethical Decision-Making and Internet Research: Version 2.0. Tech. rep. August. Association of Internet Researchers, pp. 117. URL: https://scholar.google.com/scholar?q=aoir+guidelines%7B%5C&%7DbtnG=%7B%5C&%7Dhl=en%7B%5C&%7Das%7B%5C%7Dsdt=0,3%7B%5C#%7D1.Google Scholar
Mechkova, Valeriya, Pemstein, Daniel, Seim, Brigitte, and Wilson, Steven (2019). “Digital Society Project dataset vl.” URL: http://digitalsocietyproject.org/data/.Google Scholar
Mechkova, Valeriya and Lloyd Wilson, Steven (2021). “Norms and rage: gender and social media in the 2018 U.S. mid-term elections.Electoral Studies 69, p. 102268.Google Scholar
Metzger, Megan, Duffee, Mac and Tucker, Joshua A. (2017). “Social media and Euro-Maidan: a review essay.Slavic Review 76.1, pp. 169191.CrossRefGoogle Scholar
Morstatter, Fred, Pfeffer, Jürgen, and Liu, Huan (2014). “When is it biased? Assessing the representativeness of Twitter’s streaming API.” In Proceedings of the 23rd International Conference on World Wide Web, pp. 555556.Google Scholar
Munger, Kevin (Sept. 2017). “Tweetment effects on the tweeted: experimentally reducing racist harassment.Political Behavior 39.3, pp. 629649.Google Scholar
Munger, Kevin (June 2021). “Don’t @ me: experimentally reducing partisan incivility on Twitter.Journal of Experimental Political Science 8.2, pp. 102116.CrossRefGoogle Scholar
Munger, Kevin, Bonneau, Richard, Nagler, Jonathan, and Tucker, Joshua A. (Oct. 2019). “Elites tweet to get feet off the streets: measuring regime social media strategies during protest.Political Science Research and Methods 7.4, pp. 815834.CrossRefGoogle Scholar
Munger, Kevin, Egan, Patrick J., Nagler, Jonathan, Ronen, Jonathan, and Tucker, Joshua (Jan. 2022). “Political knowledge and misinformation in the era of social media: evidence from the 2015 UK election.British Journal of Political Science 52.1, pp. 107127.Google Scholar
Naser, Curtis (2015). “The IRB Sledge-Hammer, Freedom and Big Data.Big Data Ethics. URL: https://bigdata.fpf.org/papers/the-irb-sledge-hammer-freedom-and-big-data/.Google Scholar
National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research (1978). “Belmont report: ethical principles and guidelines for the protection of human subjects of research, report of the National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research.” URL: https://videocast.nih.gov/pdf/ohrp%7B%5C_%7Dbelmont%7B%5C_%7Dreport.pdf.Google Scholar
Nikischer, Andrea (2018). “Vicarious trauma inside the academe: understanding the impact of teaching, researching and writing violence.Higher Education 77, pp. 909916.Google Scholar
Nordhaus, William, Azam, Qazi, Corderi, David, et al. (2006). The G-Econ Database on Gridded Output: Methods and Data 1. Tech. rep. Yale University.Google Scholar
Padmakumar, Vishakh and Terechshenko, Zhanna (Dec. 2020). SMAPPNYU/ SMaBERTa. DOI: 10.5281/zenodo.5090728.CrossRefGoogle Scholar
Pearlman, Laurie Anne and McKay, Lisa (2008). “Understanding and addressing vicarious trauma.” URL: www.headington-institute.org.Google Scholar
Pearlman, Laurie Anne and Saakvitne, Karen W. (1995). Trauma and the Therapist: Counter-Transference and Vicarious Traumatization in Psychotherapy with Incest Survivors. W.W. Norton & Co.Google Scholar
Persily, Nathaniel, and Tucker, Joshua A. (2020). Social Media and Democracy: The State of the Field, Prospects for Reform. SSRC Anxieties of Democracy, Cambridge University Press.CrossRefGoogle Scholar
Petrarca, Constanza Sanhueza, Tyrberg, Maria, and Lloyd Wilson, Steven (2019). “The 2018 Swedish election campaign on TwitterStatsvetenskaplig Tidskrift (Swedish Journal of Political Science) 121.3, pp. 367392.Google Scholar
Reed, Philip J., Spiro, Emma S., and Butts, Carter T. (Sept. 2016). “Thumbs up for privacy?: differences in online self-disclosure behavior across national cultures.Social Science Research 59, pp. 155170.CrossRefGoogle ScholarPubMed
Romero, Daniel M., Galuba, Wojciech, Asur, Sitaram, and Huberman, Bernardo A. (2011). “Influence and passivity in social media.” In JointEuropean Conference on Machine Learning and Knowledge Discovery in Databases. Springer, pp. 1833.CrossRefGoogle Scholar
Rudinac, Stevan, Gornishka, Iva, and Worring, Marcel (2017). “Multimodal classification of violent online political extremism content with graph convolutional networks.” In Thematic Workshops ’17: Proceedings of the Thematic Workshops of ACM Multimedia 2017, pp. 245252.CrossRefGoogle Scholar
Ruths, Derek and Pfeffer, Jürgen (Nov. 2014). “Social media for large studies of behaviorScience 346.6213, pp. 10631064.Google Scholar
Sanderson, Zeve, Brown, Megan A., Bonneau, Richard, Nagler, Jonathan, and Tucker, Joshua A. (Aug. 2021). “Twitter flagged Donald Trump’s tweets with election misinformation: they continued to spread both on and off the platform.Harvard Kennedy School Misinformation Review 2.Google Scholar
Secretary’s Advisory Committee on Human Research Protections (2013). “Considerations and Recommendations Concerning Internet Research and Human Subjects Research Regulations, with, Revisions.” URL: www.wellesley.edu/sites/default/files/assets/departments/sponsres/files/sachrp%7B%5C_%7Dguidelines%7B%5C_%7Don%7B%5C_%7Dinternet%7B%5C_%7Dresearch%7B%5C_%7D2013.pdf.Google Scholar
SEDAC (2020). Socioeconomic Data and Applications Center / SEDAC. URL: https://sedac.ciesin.columbia.edu/.Google Scholar
Shirky, Clay (Feb. 2009). Here Comes Everybody: The Power of Organizing Without Organizations. Reprint. Penguin Non-Classics.Google Scholar
Si, Jianfeng, Mukherjee, Arjun, Liu, Bing, et al. (2013). “Exploiting topic based Twitter sentiment for stock prediction.” In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pp. 2429.Google Scholar
Sievert, Carson and Shirley, Kenneth (2014). “LDAvis: a method for visualizing and interpreting topics.” In Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces, pp. 6370.CrossRefGoogle Scholar
Starbird, Kate (July 2019). “Disinformation’s spread: bots, trolls and all of us.Nature 571.7766, pp. 449450.CrossRefGoogle ScholarPubMed
Steinert-Threlkeld, Zachary C. (Jan. 2018). Twitter as Data. Cambridge University Press.CrossRefGoogle Scholar
Tene, Omer and Polonetsky, Jules (2015). “Beyond IRBs: ethical guidelines for data research,” Washington & Lee Law Review Online 72.3.Google Scholar
Tilly, Charles (2002). Stories, Identities, and Political Change. Rowman & Littlefield.Google Scholar
Tilly, Charles (2003). The Politics ofCollective Violence. Cambridge University Press.CrossRefGoogle Scholar
Torres, Michelle and Cantú, Francisco (2022). “Learning to see: convolutional neural networks for the analysis of social science data.Political Analysis 30.1, pp. 113131.CrossRefGoogle Scholar
Tucker, Joshua A., Guess, Andrew, Barberá, Pablo, et al. (Mar. 2018). “Social media, political polarization, and political disinformation: a review of the scientific literature.SSRN Electronic Journal. DOI: 10.2139/SSRN.CrossRefGoogle Scholar
Tufekci, Zeynep and Wilson, Christopher (2012). “Social media and the decision to participate in political protest: observations from Tahrir Square.Journal of Communication 62.2, pp. 363379.CrossRefGoogle Scholar
Twitter (2018). “Developer agreement and policy - Twitter developers (effective: May 25, 2018).” URL: https://developer.twitter.com/en/developer-terms/agreement-and-policy.Google Scholar
Twitter (2019), “Twitter support on Twitter: ‘Most people don’t tag their precise location in Tweets, so we’re removing this ability to simplify your Tweeting experience. You’ll still be able to tag your precise location in Tweets through our updated camera. It’s helpful.’” URL: https://twitter.com/TwitterSupport/status/1141039841993355264.Google Scholar
Vaccari, Cristian (2013). Digital Politics in Western Democracies: A Comparative Study. JHU Press.Google Scholar
Vayena, Effy. Urs Gasser, Wood, Alexandra, O’Brien, David, and Altman, Micha (2016). “Elements of a new ethical framework for big data research.Washington and Lee Law Review Online 72(3): Article 5.Google Scholar
Vayena, Effy and Tasioulas, John (2016). “The dynamics of big data and human rights: the ease of scientific research.Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374.2083.Google Scholar
Vieweg, Sarah, Hughes, Amanda C., Starbird, Kate, and Palen, Leysia (2010). “Microblogging during two natural hazards events: what Twitter may contribute to situational awareness” In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 10791088.CrossRefGoogle Scholar
Wilson, Steven Lloyd (2016). “Information and revolution.” PhD thesis. University of Wisconsin, Madison.Google Scholar
Wilson, Steven Lloyd (2017). “Detecting mass protest through social media.Journal of Social Media in Society 6.2, pp. 525.Google Scholar
Wilson, Steven Lloyd, Lindberg, Staffan, and Tronvoll, Kjetil (2021). “The best and worst of times: the paradox of social media and Ethiopian polities.First Monday 26.10.Google Scholar
Wilson, Steven Lloyd and Wiysonge, Charles (2020). “Social media and vaccine hesitancyBMJ Global Health 5.10, e004206.CrossRefGoogle Scholar
Wilson, Tom and Starbird, Kate (Jan. 2020). “Cross-platform disinformation campaigns: lessons learned and next steps.Harvard Kennedy School Misinformation Review 1.1.Google Scholar
Won, Donghyeon, Steinert-Threlkeld, Zachary C., and Joo, Jungseock (2017). “Protest activity detection and perceived violence estimation from social media images.” In Proceedings of the 25th ACM International Conference on Multimedia, pp. 786794.Google Scholar
Woodby, Lesa L., Williams, Beverly, Wittich, Angelina R., and Burgio, Kathryn L. (2011). Expanding the notion of researcher distress: the cumulative effects of coding. Qualitative Health Research 21.6, pp. 830838.CrossRefGoogle Scholar
Xi, Nan, Ma, Di, Liou, Marcus, et al. (2020). “Understanding the political ideology of legislators from social media images.” In Proceedings of the International AAAI Conference on Web and Social Media. Vol. 14, pp. 726737.CrossRefGoogle Scholar
Ying, Qing, Hansen, Matthew C., Potapov, Peter V., et al. (June 2017). “Global bare ground gain from 2000 to 2012 using Landsat imageryRemote Sensing of Environment 194, pp. 161176.CrossRefGoogle Scholar
Yang, Kai-Cheng, Varol, Onur, Davis, Clayton A., et al. (Jan. 2019). “Arming the public with artificial intelligence to counter social bots.Human Behavior and Emerging Technologies 1.1, pp. 4861.CrossRefGoogle Scholar
Zhao, Dejin and Beth Rosson, Mary (2009). “How and why people Twitter: the role that micro-blogging plays in informal communication at work.” In Proceedings of the ACM 2009 International Conference on Supporting Group Work, pp. 243252.Google Scholar
Zimmer, Michael (2010). “‘But the data is already public’: on the ethics of research in Faeebook” In: Ethics and Information Technology 12.4, pp. 313325.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure [email protected] is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • References
  • Steven Lloyd Wilson, Brandeis University, Massachusetts
  • Book: Social Media as Social Science Data
  • Online publication: 03 November 2022
  • Chapter DOI: https://doi.org/10.1017/9781108677561.008
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • References
  • Steven Lloyd Wilson, Brandeis University, Massachusetts
  • Book: Social Media as Social Science Data
  • Online publication: 03 November 2022
  • Chapter DOI: https://doi.org/10.1017/9781108677561.008
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • References
  • Steven Lloyd Wilson, Brandeis University, Massachusetts
  • Book: Social Media as Social Science Data
  • Online publication: 03 November 2022
  • Chapter DOI: https://doi.org/10.1017/9781108677561.008
Available formats
×