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Food marketing on digital platforms: what do teens see?

Published online by Cambridge University Press:  25 January 2024

Charlene D Elliott*
Affiliation:
University of Calgary, Communication, Media and Film, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada
Emily Truman
Affiliation:
University of Calgary, Communication, Media and Film, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada
*
*Corresponding author: Email [email protected]
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Abstract

Objective:

Given the aggressive marketing of foods and beverages to teenagers on digital platforms, and the paucity of research documenting teen engagement with food marketing and its persuasive content, the objective of this study is to examine what teenagers see as teen-targeted food marketing on four popular digital platforms and to provide insight into the persuasive power of that marketing.

Design:

This is an exploratory, participatory research study, in which teenagers used a special mobile app to capture all teen-targeted food and beverage marketing they saw on digital media for 7 d. For each ad, participants identified the brand, product and specific appeals that made it teen-targeted, as well as the platform on which it was found.

Setting:

Online (digital media) with teenagers in Canada.

Participants:

Two hundred and seventy-eight teenagers, aged 13–17 years, were participated. Most participants were girls (63 %) and older teenagers (58 % aged 16–17 years).

Results:

Participants captured 1392 teen-targeted food advertisements from Instagram, Snapchat, TikTok and YouTube. The greatest number of food marketing examples came from Instagram (46 %) (with no difference across genders or age), while beverages (28·7 %), fast food (25·1 %) and candy/chocolate were the top categories advertised. When it comes to persuasive power, visual style was the top choice across all platforms and participants, with other top techniques (special offer, theme and humour), ranking differently, depending on age, gender and platform.

Conclusions:

This study provides insight into the nature of digital food marketing and its persuasive power for teenagers, highlighting considerations of selection and salience when it comes to examining food marketing and monitoring.

Type
Research Paper
Creative Commons
Creative Common License - CCCreative Common License - BY
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), 2024. Published by Cambridge University Press on behalf of The Nutrition Society

Food marketing to teenagers has received considerable attention in recent years, given teens’ unique vulnerability to such marketing(1,2) and its negative impact on food intake(Reference Qutteina, De Backer and Smits3). Studies have documented the aggressive nature of food marketing to teenagers more generally, pointing to a food environment saturated with messages for products high in fat, salt and sugar(Reference Qutteina, De Backer and Smits3Reference Potvin Kent and Pauzé5). Yet it is the major shift to digital food marketing that has sparked particular concern, given teenagers’ immersion in digital culture(Reference Chester, Montgomery and Kopp6). As the US Center for Digital Democracy observed, ‘[f]ood and beverage companies have made digital media ground zero for their youth promotion efforts’(Reference Chester, Montgomery and Kopp6) (p.3), weaving unhealthy brands and products throughout the ‘media and cultural experiences that dominate the lives of young people’(Reference Chester, Montgomery and Kopp6) (p.7).

While the long-term impacts of such marketing have yet to be seen, the research we do have paints a sobering picture. Content analyses show that teens are exposed to digital promotions for unhealthy foods on Instagram, TikTok, YouTube, Snapchat, Twitter, Facebook, Tumblr and Vine(Reference Vassallo, Kelly and Zhang7Reference Bragg, Pageot and Amico10). Surveys reveal teenagers’ strong engagement with food brands on Facebook and YouTube(Reference Fleming-Milici and Harris11) and also suggest that unhealthy dietary intake may increase as social media engagement increases(Reference Gascoyne, Scully and Wakefield12,Reference Baldwin, Freeman and Kelly13) . Experimental studies document teens’ greater recall of unhealthy food brands (compared with healthy food or non-food advertising) on Facebook(Reference Murphy, Corcoran and Tatlow-Golden14) and preference for the visual presentation of Instagram food ads over traditional ads(Reference Bragg, Lutfeali and Greene15). Finally, participatory research with teens reveals the scope and variety of digital food messaging (content and platform wise) targeting teenagers, alongside the appeals that they find salient(Reference Elliott, Truman and Aponte-Hao16,Reference Qutteina, Hallez and Mennes17) .

Despite this recent spate of literature on teenagers and food in the digital marketplace, a number of research gaps exist. Studies that compare data across digital platforms are rare, and little is known about how, or if, targeted food marketing differs across the platforms popular with teenagers. While experimental studies(Reference Murphy, Corcoran and Tatlow-Golden14) and survey research (often recall studies) seek to capture the impact of food marketing on teenage populations(Reference Gascoyne, Scully and Wakefield12,Reference Qutteina, Hallez and Raedschelders18) , few studies engage with teenagers’ real-life encounters with food marketing messages and teens’ own assessment of the persuasive content or ‘power’ within those messages. Power, here, refers to the content and design elements within an advertisement that capture attention and make it persuasive to consumers(1,2,19) . These techniques include humour, celebrity, colour, music and visual style (among others) and are highly targeted in terms of appeal – certain techniques will persuade more than others, depending on the audience. Despite the critical importance of (food) marketing power, understanding of the specific techniques that resonate with a teenage audience is still developing. Examinations of differences by age and gender within the teen audience are rare.

Persuasive power, then, is a critical piece of the puzzle when it comes to food marketing to teenagers. Exposure to food marketing is a second (more documented) piece of that puzzle. Exposure refers to a message’s reach, frequency and impact(20) (p.8). According to the food advertising hierarchy of effects framework(Reference Kelly, King and Chapman21), exposure – especially repeated exposure – initiates a domino effect that prompts product recognition, positive attitudes towards the advertised product, and ultimately, the intent to purchase or consume(Reference Kelly, King and Chapman21). However, given the proliferation of media platforms, the expansion of media use and the endless volume of commercial messages available, a significant quantity of digital advertising might not be noticed or heeded. Although teenagers may be exposed to a food advertisement, its mere presence on digital media is not de facto evidence of impact. Exposure to advertising does not mean it captures their attention and it does not mean that advertisement is persuasive. This reality is certainly recognised by digital marketers, who flag consumer inattentiveness to advertising as a ‘pesky byproduct’ of the current landscape of infinite content(Reference Giller22) and provide tips on how to ‘stop the scroll’(Reference Giller22Reference Terrano24). Exposure to advertising, in short, is not enough. Consumers must engage with the content and find it persuasive, which makes questions of power all important.

Given this, broad aim of this research is to provide a snapshot of the food marketing messages targeted at teenagers on digital media and to gain insight into what teens find persuasive within that marketing. More specifically, the aims are to understand what teenagers see as teen-targeted food marketing on digital platforms, as well as the persuasive power of that marketing. The question of what teens see is understood here in a dual sense, referring both to the food messages teenagers encounter as they go about their (digital) lives and to the specific elements within those food advertisement that they consider to be teen-targeted. Focusing on teens’ real-life encounters with the food marketing that targets them matters because studies estimating exposure(Reference Potvin Kent, Pauzé and Roy9,Reference Bragg, Pageot and Amico10) , recall studies(Reference Gascoyne, Scully and Wakefield12,Reference Baldwin, Freeman and Kelly13) and experimental studies (in which researchers pre-select examples of food marketing for participants to review)(Reference Murphy, Corcoran and Tatlow-Golden14,Reference Bragg, Lutfeali and Greene15) do not provide a clear picture of what teenagers actually see and find persuasive in digital environments. Importantly, since persuasive appeals are not equally ‘powerful’, asking teens to identify elements of persuasive power within those ads provides insight into what is salient to them.

This research is particularly timely in a Canadian context, as it works to inform Health Canada’s M2K (Marketing to Kids) Monitoring strategy focused on food and beverage marketing to young people. The research can also inform more global efforts to monitor adolescent exposure to food marketing by generating insight into (digital) food environments(Reference Kelly, Backholer and Boyland25). The study provides comprehensive insight into the power of food and beverage marketing to teenagers found on the digital platforms popular with them.

Methods

Data for this project were drawn from a broader study on food marketing and persuasive power in Canada, in which teenagers (aged 13–17 years) were asked to capture the teen-targeted food marketing they saw in legacy media, digital media and in the built environment for 7 consecutive days and to identify the specific appeals within each ad that made it teen-targeted. To do so, participants used a novel mobile app to capture the ad and to identify its product and brand, as well as the platform and the persuasive appeals within those ads. As noted above, these persuasive appeals constitute the ‘power’ of the advertisement(19). A comprehensive selection of platforms and persuasive appeals was provided within the app: for each advertisement, participants could select the bubble naming the appropriate platform and as many persuasive appeals (or persuasive techniques) as desired. Ten persuasive techniques were provided within the app; these included visual style, theme, music, celebrity, special offer, humour, teenaged-actor, language (teen specific), interactivity and cartoon. An other category was also included, which allowed participants to add additional persuasive appeals (via a free-text field) as necessary. Ethics approval was received for this study (University of Calgary Conjoint Faculties Research Ethics Board, CFREB19-0020; Health Canada Ethics Review Board, REB 2021-020H). Details of app development(Reference Truman and Elliott26), pilot testing(Reference Elliott, Truman and Aponte-Hao16) and data cleaning for study have been provided elsewhere(Reference Elliott, Truman and Black27).

In the broader study, a final sample of 309 participants were recruited from September 2021 to September 2022 from schools, community groups, sports teams and through Instagram. Interested teenagers were first directed to a secure website, which contained detailed information about the study and the consent form. (Given the low-risk nature of the study, and their decision-making capacity as 13–17-year-olds, teenagers were able to provide their own informed consent on this secure website. Doing so generated a unique numerical code that gave the participating teen access to download and use the app.)

The final sample of 309 participants submitted 1825 advertisements for analysis and tagged nineteen platforms on which they found teen-targeted food marketing. While the study provided a comprehensive profile of brands, products and appeals across all platforms, results revealed that digital platforms dominated the ads collected. As such, the present study isolates the most popular platforms captured – Instagram, Snapchat, TikTok and YouTube – for further analysis. Over three-quarters (76·3 %) of the submitted advertisements were found on these four platforms, making them worthy of detailed examination.

After separating the dataset containing ads from Instagram, Snapchat, TikTok and YouTube from the larger study, frequencies and percentages were used to describe the number of advertisements identified on each platform, overall and by participant. Two-sample tests for equality of proportions with continuity correction were used to compare frequencies of platforms identified between genders. For each platform, the food brands and indicators most frequently identified in advertisements by participants were reported using frequencies and percentages. Data analysis was conducted using R version 4.1.2.

Results

Two hundred and seventy-eight teenagers submitted at least one food one advertisement from Instagram, Snapchat, TikTok or YouTube over the 7-d data collection period. The majority of participants were girls (63 %) and older teenagers (58 % aged 16–17 years). See Table 1. Overall, these participants submitted and tagged 1392 teen-targeted food advertisements.

Table 1 Participants reporting advertisements from Instagram, Snapchat, TikTok or YouTube: breakdown by age and gender (n 278)

Food marketing on digital platforms: considerations by platform and gender

When it comes to food marketing by platform, the greatest number of food marketing examples came from Instagram (n 643, 46·2 %), followed by Snapchat (n 303; 21·8 %) and TikTok (n 235; 16·9 %). Food marketing captured from YouTube comprised 15·2 % of the sample (n 211). Table 2 details the number of food advertisements captured by platform and gender, revealing that for the most frequently reported platform, Instagram, no difference exist across genders (P = 0·99). However, Snapchat and TikTok were more likely to be reported by girls compared with boys and gender non-conforming participants (39·8 % v. 21·6 %, P = 0·003; 34·7 % v. 21·6 %, P = 0·03; respectively). More boys and gender non-conforming participants identified food advertisements on YouTube compared with girls, although this difference was not statistically significant (31·4 % v. 21·6 %; P = 0·10).

Table 2 Frequencies and proportions of participants reporting at least one advertisement, by platform and gender* (n 278)

n, frequency; %, proportion.

* Participants could report advertisements from multiple platforms.

A similar pattern can be seen when the teenagers are analysed by age, insomuch as Instagram was reported by the greatest proportion of participants across all ages: no difference existed comparing younger (aged 13–14 years) and older (aged 15–17 years) participants (P = 0·68). Although older teens captured food ads from YouTube more frequently than the younger participants, the difference was not statistically significant (27·0 % v. 19·0 %, P = 0·27). See Table 3.

Table 3 Frequencies and proportions of participants reporting at least one advertisement, by platform and age* (n 278)

n, frequency; %, proportion.

* Participants could report advertisements from multiple platforms.

Digital platforms: Top food brands and products captured

In the broader study where teenagers captured food marketing across all platforms, coffee and fast-food brands were the most common, with Starbucks, Tim Hortons, McDonald’s and Subway representing the top brands in terms of number of advertisements. Ads for these brands comprised more than one of every five images (22·5 % of the sample). Yet when the food marketing captured by teenagers was examined solely in light of the digital platforms of Instagram, Snapchat, TikTok and YouTube, subtle differences could be seen with respect to ranking (see Table 4). Like the broader study, coffee brands such as Starbucks and Tim Hortons topped the number of ads captured on Snapchat, TikTok and YouTube (with Starbucks promotions comprising 20 % of the Snapchat ads submitted). But with Instagram – the digital platform from which 46·2 % of the ads were reported – the top two brands were not coffee brands, but rather gummy candies (Trolli) and fruit drinks (Fruité). This suggests different targeting strategies by platform, at least for the teenagers consulted. Regardless, the top ten brands captured across these platforms are generally multinational fast food or coffee chains and confectionary products, while the top food and beverage categories advertised in these ads are for beverage (28·7 %), fast food (25·1 %) and candy/chocolate (19·0 %) (see Table 5).

Table 4 Frequencies and proportions of the top ten food or beverage brands for Instagram, Snapchat, TikTok and YouTube

Table 5 Frequencies and proportions of the top ten food or beverage categories for Instagram, Snapchat, TikTok and YouTube (n 1392)

Persuasive power and digital platforms

When it comes to persuasive power (the techniques within an advertisement that work to persuade), clear trends were apparent. Visual style was the top technique tagged across all digital platforms and selected in similar proportions for Instagram (27·3 %), Snapchat (27·2 %), TikTok (23·7 %) and YouTube (27·0 %). Visual style refers to elements within an advertisement (such as colour, font and animated effects) that create its overall feel or effect. Special offer, covering limited time products, limited edition products, discounts and combo deals, was also tagged in relatively consistent proportions across the four digital platforms, ranging from 10·2 % (Snapchat) to 15·4 % (Instagram). In fact, the participants’ most selected persuasive techniques did not vary much by platform, with combinations of at least three of the techniques of visual style, special offer, theme (i.e. an overarching idea that pervades the advertisement, such as sports, holidays/seasonal and technology) or humour comprising the top four indicators selected in ads captured on each platform (see Table 6). Certain advertising techniques differed by frequency on each platform, however, reinforcing distinctions between them. For instance, food ads tagged for ‘interactivity’ were far more frequently identified on Snapchat than the other digital platforms, whereas ‘music’ was frequently identified on TikTok and YouTube. Food ads tagged with ‘celebrity’ were far more common on Instagram and TikTok than YouTube and Snapchat (Table 6).

Table 6 Frequency of power indicators selected by platform

n, frequency; %, proportion.

When the persuasive techniques identified in the food advertisements from Instagram, Snapchat, TikTok and YouTube were examined by participant gender and age, results proved fairly consistent. Techniques like visual style, interactivity or theme, etc., that participants tagged in individual food ads captured from SnapChat or TikTok or YouTube or Instagram were similar for the younger and older teen participants and also across genders. However, across all platforms, younger respondents (aged 13–14 years) were more likely to tag advertisements with ‘teenage actor’ than older respondents (aged 15+ years) (8·4 % v. 5·4 %, p = 0·007). Additionally, in food advertisements collected from Instagram, the youngest teenagers (13 years) were more likely to tag ‘interactivity’ in advertisements (10·6 % v. 4·7 %, P = 0·01). Boys were also more likely use the ‘humor’ tag on food ads from Instagram compared with girls (12·7 % v. 8·3 %, P = 0·01).

Elements of creative content are not equally powerful within an advertisement, and different techniques resonate with different audiences. As such, while an advertisement might contain multiple persuasive techniques, participants may only see certain ones as meaningful. For the examples collected and tagged by the teenagers, what cued teen-targeted food advertising to them was predominantly visual style, special offer, theme and humour. Beyond this, in 37·4 % of ads teenagers selected only one technique to identify that ad as teen-targeted (see Table 7). Visual style was the single technique selected in one-quarter of the cases (25·7 %), followed by special offer (21·3 %) and celebrity (12·1 %). These single indicators of teen-targeted food marketing should not be glossed over, as they suggest an important insight into persuasive power for this audience, namely, that persuasive power and teen-targeted advertising can be straightforward and easily identified by teens with a single cue. For teens, it is not a complex process: they know it when they see it and it does not require multiple indicators to identify.

Table 7 Persuasive techniques selected among advertisements where only one technique was selected (n 521)

Discussion

Digital platforms have, in many respects, upended food and beverage marketing strategies. They have enabled unprecedented access to young consumers by food companies and brands, big and small, accompanied by precise targeting practices. According to a leading global digital agency, social media ranks as the ‘top food and beverage marketing’ strategy for companies(28) and is a lucrative channel for the food and beverage sector’ considering costs v. results(28). Given the popularity of digital platforms with young people and the unhealthy nature of food marketing, it is not surprising that digital food marketing to young people has been deemed ‘a substantial public health problem’(Reference Boyland, Thivel and Mazur29).

This study sheds light on the nature of that problem. By asking teenagers to capture and tag the food marketing they deem teen-targeted (in terms of platform, product, brand and persuasive appeals), the study provides insight into the digital food marketplace as viewed by the participants. For them, Instagram is the digital platform with the most teen-targeted food marketing, delivering close to half of the advertisements captured – a popularity that did not change regardless of participant age or gender. Participants also captured hundreds of food advertisements from Snapchat, TikTok and YouTube, with Snapchat and TikTok more likely to be reported by girls. That Instagram ranks as a top platform for all teen genders has been observed elsewhere(Reference Amson, Pauzé and Remedios30), as has teen girls’ higher preference for Snapchat (compared with boys) and teen boys’ higher preference for YouTube (compared with girls)(Reference Amson, Pauzé and Remedios30).

At base, our research findings join the growing list of studies documenting the ubiquity of food posts(Reference van der Bend, Jakstas and van Kleef31) and/or marketing on digital platforms(Reference Winzer, Naderer and Klein8Reference Bragg, Pageot and Amico10,Reference Elliott, Truman and Aponte-Hao16) and the unhealthy nature of such marketing(Reference Potvin Kent, Pauzé and Roy9,Reference Bragg, Pageot and Amico10,Reference Elliott, Truman and Aponte-Hao16,Reference Valero-Morales, Nieto and García32) . Advertisements for beverages, fast food and candy/chocolate comprised most of the submissions, with 73 % of ads captured promoting these products. This finding reinforces the empirical research chronicling the primacy of these three categories of foods when it comes to food marketing to teenagers(Reference Kelly, Bosward and Freeman4,Reference Elliott, Truman and Aponte-Hao16,Reference Elliott, Truman and Black27,28,Reference Potvin Kent, Hatoum and Wu33) , as well as qualitative research in which teenagers observe that beverages such as soda and convenience foods characterise ‘teen foods’(Reference Elliott, McAllister and West34). Study findings also reveal important nuances across platforms in terms of the specific products offered, given that the top products captured for each platform are not the same: Instagram’s top captured product (by frequency) is Trolli gummy candy, whereas ads for either Starbucks or Tim Horton’s were most frequently captured on Snapchat, TikTok or YouTube. Such comparisons of promoted products across platforms are not found in other research examining food posts and/or marketing across multiple media platforms. Of course, the targeted nature of digital marketing (shaped by algorithms, including social media algorithms and ranking systems) means that products captured on each platform by our study participants reflects their specific experiences and cannot be generalised to a teen population writ large. However, these differences draw attention to the fact that digital media experiences, including products seen, are not identical across platforms.

The study also provides unique insight into the nature of power, arising from a creative methodological approach that does not assume that all persuasive techniques found within an advertisement hold equal weight or sway. One challenge with much of the research on food marketing to young people is that when it comes to documenting ‘power’ within a persuasive message all techniques are typically treated as if equally salient and equally significant. Whether for monitoring purposes or a research study, researchers often examine marketing content for the presence of a list of indicators. Similarly, content analyses of child-targeted food marketing tend to capture all appeals (such as the presence of a cartoon character, celebrity, appeal to fun, etc.) that have been determined to be child-directed. Coders then tally up the total number for each and draw conclusions about what it means. However, simply documenting the presence of techniques ‘directed’ at children or teenagers does not mean those techniques are salient to them. When all techniques are captured, there is no means of discerning which ones are more (or less) meaningful. Here, Entman’s(Reference Entman35) cautionary note about content analysis when it comes to framing – a theory used in the field of communication – proves helpful, because it applies equally to the treatment of marketing power. Entman observes that coders who ‘neglect to measure the salience of elements in [a] text’… ‘may often yield data that misrepresent the media messages that most audience members are actually picking up’(Reference Entman35) (p.57). Heeding this, our study is designed to capture salience and to represent precisely what the teen audience is ‘actually picking up’ from the food marketing that they see. Unlike other research studies that select techniques ‘likely to be popular’ with teenagers(Reference Murphy, Corcoran and Tatlow-Golden14), participants in our study both selected the food advertisements that they considered to be teen-targeted and the specific techniques within the ad that made it so. In this way, the participating teenagers communicate the salience of particular elements within a food ad, providing insight into marketing power.

Accordingly, we argue that the concepts of selection and salience are essential to understanding food marketing, especially on digital platforms. We do not use these key terms from framing theory precisely as defined in that context (given framing’s general concern with news coverage). However, we do align with framing theory’s aim to understand ‘the power of a communicating text’(Reference Entman35) (p.51) – and, in this case, we are examining the power of food marketing communications, whereby selection speaks to the issue of exposure and salience allows for a better recognition of hierarchy and nuance when it comes to power. What the teenagers report as salient within food marketing is, overwhelmingly, visual style. Other salient persuasive techniques are special offer, theme and humour (ranked differently, depending on the platform).

The importance of visual style to teenagers as a technique of persuasive power in food marketing has been observed in other research studies(Reference Elliott, Truman and Aponte-Hao16,Reference Elliott, Truman and Stephenson36) . Among them, qualitative research has found that teenagers identify the ‘characteristics of the images’ followed by colours as the ‘most memorable’ aspects of food marketing on digital platforms(Reference Ares, Antúnez and de León37) (p.5) or note teens’ appreciation for food ads with ‘high visual quality’(Reference van der Bend, Jakstas and van Kleef31). Recent studies examining the visual techniques found within food marketing collected by teenagers also report that ‘bold focus’ (a style characterised by vivid colourful backgrounds and the food product as a central object of the image) dominates this visual style(Reference Ellison, Truman and Elliott38). Along with bold focus, ‘bespoke’ is another popular subset of visual style typifying food marketing on digital platforms: the bespoke is characterised by crisp, clean designs, and a focus on food staging and styling(Reference Ellison, Truman and Elliott38). Overall, visual style – which our study participants tagged as the top indicator of teen-targeted food marketing across all digital platforms – is a key element of persuasive power and worth further exploration. Its primacy as a marketing technique is reinforced by marketers themselves, who emphasise visual elements and ‘bold, high contrast colors’ as a tool to ‘stop the scroll’(Reference Terrano24) or embrace a brand ‘visual identity’ overhaul, one ‘tailored to recognize the demands of an increasingly digital and “phygital” era’, as Pepsi has done(Reference Adams39).

Beyond visual style, other selected techniques are interesting insomuch as they reveal trends in power and targeting strategies across age and/or gender. For example, the youngest teenagers were more likely than to tag food advertisements with ‘teenage actor’ than older teens (across all platforms) and to tag ‘interactivity’ on Instagram food ads. Boys were more likely to tag humour in a food ad – a tendency that has been observed in other studies(Reference Elliott, Truman and Aponte-Hao16,Reference Elliott, Truman and Stephenson36) . Persuasive techniques selected in the food ads may also reflect important distinctions when it comes to the functionality of the platform. For example, Snapchat filters are interactive by nature, while music is central to TikTok (given the importance of audio memes to the platform). Additionally, celebrity/influencer promotions are historically commonplace on Instagram and growing on TikTok as the platform’s popularity increases. As such, certain elements of power found within food advertising might be tightly bound up with the platform itself.

Strengths and limitations

This study is interested in food marketing’s persuasive power, as captured and tagged by teenagers themselves. It does not aim to capture correlations between time spent on social media and exposure to food marketing writ large, although this would be a fruitful topic for future studies.

Instead of documenting food marketing power or exposure more generally, the study aims to understand teenager views on teen-targeted marketing and its persuasive appeals. This aim required a unique approach, whereby participants collect the examples of food marketing and identify the specific persuasive techniques within them. That teenagers tag the persuasive techniques is a clear strength, because it sidesteps the challenge generated when (adult) researchers determine and/or speculate on what is persuasive to teenagers within the content of each ad. The study also considers differences by platform and by age and gender, meaning that the teen audience is properly recognised as teen audiences. Beyond this, the study introduces the important concepts of selection and salience when it comes to understanding food marketing power and exposure, with salience providing a means both to recognise that techniques of persuasive power are not equally persuasive and to reinforce that they should be considered as nuanced elements that often exist in a hierarchy – where some may be techniques may be extremely persuasive and other factor not at all. Finally, the findings can be considered in light of the WHO’s 2018 report on food marketing that observed how food marketing policies related to ‘pre-digital media only’ and ‘to younger children and not to adolescents’ are ‘markedly insufficient to address the continuing challenges in this field’(2). Teenagers, as the WHO observes, are ‘particularly susceptible’ to unhealthy food marketing for several reasons. First, although teenagers may be more cognitively advanced than children, marketing – and especially digital marketing – has emotional effects that bypass cognitive processing(2). Beyond this, teenagers may not care or wish to resist such marketing(2), particularly given the social currency it has with this audience(Reference Elliott, McAllister and West34). Insight into the specific persuasive techniques and their salience allows us to consider what this currency entails and why teenagers may lack interest in ‘resisting’ food marketing.

Conclusion

This study focuses on teen engagement, power and digital platforms, with the goal of illuminating food marketing and its persuasive power as identified by teenagers in light of the most popular digital platforms they use. By selecting the food marketing they deem as teen-targeted and tagging the persuasive techniques salient within those ads, participants not only reveal the food brands and products targeting them but also what they value when it comes to persuasive power across the platforms of Instagram, Snapchat, TikTok and YouTube.

Acknowledgements

The authors thank Jason Black, who performed the data analysis and Calli Naish who contributed to study recruitment and data management.

Financial support

This work was supported by the CIHR Canada Research Chairs programme and funding from Health Canada.

Conflict of interest

There are no conflicts of interest.

Authorship

C.E. conceived of and designed the study, oversaw all aspects of the project, performed additional data analysis and wrote the manuscript. E.T. oversaw the data collection, prepared raw user data for analysis, performed additional data analysis and contributed to the manuscript draft. All authors have approved the final article.

Ethics of human subject participation

This study was conducted according to the guidelines laid down in the Declaration of Helsinki, and all procedures involving research study participants were approved by the University of Calgary Conjoint Faculties Research Ethics Board. Written informed consent was obtained from all subjects/patients.

References

WHO (World Health Organization Regional Office for Europe) (2016) Tackling Food Marketing to Children in a Digital World: Trans-Disciplinary Perspectives. Children’s Rights, Evidence of Impact, Methodological Challenges, Regulatory Options and Policy Implications for the WHO European Region. https://apps.who.int/iris/handle/10665/344003 (accessed March 2023).Google Scholar
WHO (World Health Organization) (2018) Evaluating Implementation of the WHO Set of Recommendations on the Marketing of Food and Non-Alcoholic Beverages to Children: Progress, Challenges and Guidance for Next Steps in the WHO European Region. https://apps.who.int/iris/handle/10665/345153 (accessed March 2023).Google Scholar
Qutteina, Y, De Backer, C & Smits, T (2019) Media food marketing and eating outcomes among pre-adolescents and adolescents: a systematic review and meta-analysis. Obes Rev 20, 17081719. https://doi.org/10.1111/obr.12929 CrossRefGoogle ScholarPubMed
Kelly, B, Bosward, R & Freeman, B (2021) Australian children’s exposure to, and engagement with, web-based marketing of food and drink brands: cross-sectional observational study. J Med Internet Res 23, e28144. https://doi.org/10.2196/28144 CrossRefGoogle ScholarPubMed
Potvin Kent, M & Pauzé, E (2018) The frequency and healthfulness of food and beverages advertised on adolescents’ preferred web sites in Canada. J Adolesc Health 63, 102107. https://doi.org/10.1016/j.jadohealth.2018.01.007 CrossRefGoogle ScholarPubMed
Chester, J, Montgomery, KC & Kopp, K (2021) Big Food, Big Tech, and the Global Childhood Obesity Pandemic. Center for Digital Democracy. https://www.democraticmedia.org/article/big-food-big-tech-and-global-childhood-obesity-pandemic (accessed March 2023).Google Scholar
Vassallo, AJ, Kelly, B, Zhang, L et al. (2018) Junk food marketing on Instagram: content analysis. JMIR Public Health Surveill 4, e54. https://doi.org/10.2196/publichealth.9594 CrossRefGoogle ScholarPubMed
Winzer, E, Naderer, B, Klein, S et al. (2022) Promotion of food and beverages by German-Speaking influencers popular with adolescents on TikTok, YouTube and Instagram. Int J Environ Res Pub Health 19, 10911. https://doi.org/10.3390/ijerph191710911 CrossRefGoogle ScholarPubMed
Potvin Kent, M, Pauzé, E, Roy, E et al. (2019) Children and adolescents’ exposure to food and beverage marketing in social media apps. Pediatr Obes 14, e12508. https://doi.org/10.1111/ijpo.12508 CrossRefGoogle ScholarPubMed
Bragg, MA, Pageot, YK, Amico, A et al. (2020) Fast food, beverage, and snack brands on social media in the United States: an examination of marketing techniques utilized in 2000 brand posts. Pediatr Obes 15, e12606. https://doi.org/10.1111/ijpo.12606 CrossRefGoogle Scholar
Fleming-Milici, F & Harris, JL (2020) Adolescents’ engagement with unhealthy food and beverage brands on social media. Appetite 146, 104501. https://doi.org/10.1016/j.appet.2019.104501 CrossRefGoogle ScholarPubMed
Gascoyne, C, Scully, M, Wakefield, M et al. (2021) Food and drink marketing on social media and dietary intake in Australian adolescents: findings from a cross-sectional survey. Appetite 166, 105431. https://doi.org/10.1016/j.appet.2021.105431 CrossRefGoogle ScholarPubMed
Baldwin, HJ, Freeman, B & Kelly, B (2018) Like and share: associations between social media engagement and dietary choices in children. Public Health Nutr 21, 32103215. https://doi.org/10.1017/S1368980018001866 CrossRefGoogle Scholar
Murphy, G, Corcoran, C, Tatlow-Golden, M et al. (2020) See, like, share, remember: adolescents’ responses to unhealthy-, healthy- and non-food advertising in social media. Int J Environ Res Pub Health 17, 2181. https://doi.org/10.3390/ijerph17072181 CrossRefGoogle ScholarPubMed
Bragg, M, Lutfeali, S, Greene, T et al. (2021) How food marketing on Instagram shapes adolescents’ food preferences: online randomized trial. J Med Internet Res 23, e28689. https://doi.org/10.2196/28689 CrossRefGoogle ScholarPubMed
Elliott, C, Truman, E & Aponte-Hao, S (2022) Food marketing to teenagers: examining the power and platforms of food and beverage marketing in Canada. Appetite 173, 105999. https://doi.org/10.1016/j.appet.2022.105999 CrossRefGoogle ScholarPubMed
Qutteina, Y, Hallez, L, Mennes, N et al. (2019) What do adolescents see on social media? A diary study of food marketing images on social media. Front Psychol 10, 2637. https://doi.org/10.3389/fpsyg.2019.02637 CrossRefGoogle ScholarPubMed
Qutteina, Y, Hallez, L, Raedschelders, M et al. (2021) Food for teens: how social media is associated with adolescent eating outcomes. Public Health Nutr 25, 290302. https://doi.org/10.1017/S1368980021003116 Google ScholarPubMed
WHO (World Health Organization) (2012) A Framework for Implementing the Set of Recommendations on the Marketing of Foods and Non-Alcoholic Beverages to Children. http://apps.who.int/iris/bitstream/10665/80148/1/9789241503242_eng.pdf?ua=1 (accessed March 2023).Google Scholar
WHO (World Health Organization) (2010) Set of Recommendations on the Marketing of Foods and Non-Alcoholic Beverages to Children. WHO Press, World Health Organization. http://apps.who.int/iris/bitstream/10665/44416/1/9789241500210_eng.pdf (accessed March 2023).Google Scholar
Kelly, B, King, L, Chapman, K et al. (2015) A hierarchy of unhealthy food promotion effects: identifying methodological approaches and knowledge gaps. Amer J Pub Health 105, e86e95.CrossRefGoogle ScholarPubMed
Giller, J (2022) ‘Stop the Scroll: 10 Principles for Creating Thumb-Stopping Ads.’ 21 October 2022. https://nogood.io/2022/10/21/stop-the-scroll/ (accessed March 2023).Google Scholar
Ackerman, T (2019) ‘Stop the Scroll: Four Tips for Creating Thumb-Stopping Social Media Ads.’ 19 July 2019. https://www.forbes.com/sites/forbescommunicationscouncil/2019/07/19/stop-the-scroll-four-tips-for-creating-thumb-stopping-social-media-ads/?sh=27d60ed118bf (accessed March 2023).Google Scholar
Terrano, P (2023) ‘3 Lessons for How Color can Stop the Scroll’. 27 March 2023. https://www.fooddive.com/spons/3-lessons-for-how-color-can-stop-the-scroll/645390/ (accessed March 2023).Google Scholar
Kelly, B, Backholer, K & Boyland, E (2023) Contemporary approaches for monitoring food marketing to children to progress policy actions. Curr Nutr Rep 12, 1425. https://doi.org/10.1007/s13668-023-00450-7 CrossRefGoogle ScholarPubMed
Truman, E & Elliott, C (2022) Testing of a mobile app for participatory research to identify teen-targeted food marketing. JMIR Formative Res 6, e35886. https://doi.org/10.2196/35886 CrossRefGoogle ScholarPubMed
Elliott, C, Truman, E & Black, JE (2023) Tracking teen food marketing: participatory research to examine persuasive power and platforms of exposure. Appetite 186, 106550. https://doi.org/10.1016/j.appet.2023.106550 CrossRefGoogle Scholar
Digital Silk (2024) Food and Beverage Marketing: 12 Digital Strategies to Gain More Customers. https://www.digitalsilk.com/digital-trends/food-beverage-digital-trends/ (accessed March 2023).Google Scholar
Boyland, E, Thivel, D, Mazur, A et al. (2020) Digital food marketing to young people: a substantial public health problem. Ann Nutr Metab 76, 69. https://doi.org/10.1159/000506413 CrossRefGoogle Scholar
Amson, A, Pauzé, E, Remedios, L et al. (2023) Adolescent exposure to food and beverage marketing on social media by gender: a pilot study. Public Health Nutr 26, 3345. https://doi.org/10.1017/S1368980022002312 CrossRefGoogle ScholarPubMed
van der Bend, DL, Jakstas, T, van Kleef, E et al. (2022) Adolescents’ exposure to and evaluation of food promotions on social media: a multi-method approach. Int J Environ Res Public Health 19, 174. https://doi.org/10.1186/s12966-022-01310-3 Google ScholarPubMed
Valero-Morales, I, Nieto, C, García, A et al. (2023) The nature and extent of food marketing on Facebook, Instagram, and YouTube posts in Mexico. Pediatr Obes 18, e13016. https://doi.org/10.1111/ijpo.13016 CrossRefGoogle ScholarPubMed
Potvin Kent, M, Hatoum, F, Wu, D et al. (2022) Benchmarking unhealthy food marketing to children and adolescents in Canada: a scoping review. Health Promot Chronic Dis Prev Can 42, 307318. https://doi.org/10.24095/hpcdp.42.8.01 CrossRefGoogle ScholarPubMed
Elliott, C (2023) Promotional culture, tastes and teenagers: Navigating the interplay between food marketing, monitoring, and ‘teen food’. In Routledge Companion to Advertising and Promotional Culture, pp. 135146 [McAllister, M & West, E, editors]. New York: Routledge.CrossRefGoogle Scholar
Entman, RM (1993) Framing: toward clarification of a fractured paradigm. J Commun 43, 5158. https://doi.org/10.1111/j.1460-2466.1993.tb01304.x CrossRefGoogle Scholar
Elliott, C, Truman, E & Stephenson, N (2022) Food marketing and power: teen-identified indicators of targeted food marketing. Int J Environ Res Public Health 19, 7815. https://doi.org/10.3390/ijerph19137815 CrossRefGoogle ScholarPubMed
Ares, G, Antúnez, L & de León, C (2022) ‘Even if you don’t pay attention to it, you know it’s there’: a qualitative exploration of adolescents’ experiences with digital food marketing. Appetite 176, 106128. https://doi.org/10.1016/j.appet.2022.106128 CrossRefGoogle Scholar
Ellison, K, Truman, E & Elliott, C (2023) Picturing food: the visual style of teen-targeted food marketing. Young Consumers 24, 352366. https://doi.org/10.1108/YC-08-2022-1577 CrossRefGoogle Scholar
Adams, P (2023) ‘Pepsi Embraces Maximalism for First Visual Overhaul in 14 Years’. 28 March 2023. https://www.fooddive.com/news/pepsi-embraces-maximalism-for-first-visual-overhaul-in-14-years/646089/ (accessed March 2023).Google Scholar
Figure 0

Table 1 Participants reporting advertisements from Instagram, Snapchat, TikTok or YouTube: breakdown by age and gender (n 278)

Figure 1

Table 2 Frequencies and proportions of participants reporting at least one advertisement, by platform and gender* (n 278)

Figure 2

Table 3 Frequencies and proportions of participants reporting at least one advertisement, by platform and age* (n 278)

Figure 3

Table 4 Frequencies and proportions of the top ten food or beverage brands for Instagram, Snapchat, TikTok and YouTube

Figure 4

Table 5 Frequencies and proportions of the top ten food or beverage categories for Instagram, Snapchat, TikTok and YouTube (n 1392)

Figure 5

Table 6 Frequency of power indicators selected by platform

Figure 6

Table 7 Persuasive techniques selected among advertisements where only one technique was selected (n 521)