The rhetorical implications of social media misinformation
Platform algorithms during a global pandemic
Keywords:rhetoric, social media, COVID-19, disinformation, misinformation, algorithms
We engage in a rhetorical, thematic reading of anti-coronavirus messages that perpetuate mis/disinformation online. We specifically discuss how social media algorithms manipulate data to spread disinformation in the area of anti-vaccination rhetoric in our current pandemic conjuncture. We also explore how, as a case study, COVID-19 anti-vaccine rhetoric spreads virally through social media platforms. Drawing from perspectives in rhetorical theory, spectacle, digital literacy, and social media data analysis, we embrace an interdisciplinary approach as a way to explore holistically negative vaccine-related messages from April 2021 through January 2022 by American politicians and media pundits. Using state-of-the-art data analytics from our social media center, we will examine topic-specific messages from Twitter, Instagram, and Facebook. We argue that addressing issues relating to disinformation and digital literacy are vital for the work that promotes democracy. Since we will address ways to avoid and reduce disinformation into our daily lives, we believe we will advance important pedagogical ideas for sustaining democratic impulses. Finally, we discuss the core skills and knowledge necessary to identify and combat disinformation messages. Our hope is that this contribution to the on-going conversation about disinformation, anti-vaccine rhetoric, and the unique dangers of discourse in social media can provide a perspective to the vaccine debate that has hitherto largely been neglected.
Alberta, T. M. (2021, March 23). Instagram. @AlbertaTrutherMama.
Albright, J. (2017, November 8). Instagram, meme seeding, and the truth about Facebook manipulation. Medium. https://medium.com/berkman-klein-center/instagram-meme-seeding-and-the-truth-about-facebook-manipulation-pt-1-dae4d0b61db5
Al-Rawi, A. (2021). Political memes and fake news discourses on Instagram. Media and Communication, 9(1), 276-290.
AM Michaelski (2021, July 16). Instagram. @AMMichaelski.
Andreassen, C. S., & Pallesen, S. (2014). Social network site addiction—an overview. Current Pharmaceutical Design, 20, 4053–4061.
Anonymous (2021a, June 14). Instagram.
Anonymous (2021b, August 21). Instagram.
Anonymous (2021c, May 17). Instagram.
Anonymous (2021d, October 6). Instagram.
Axelrod, D. (2022, February 28). Co-hosted with The Atlantic, April 6-8 event will include Barack Obama, Nobel Laureate Maria Ressa. University of Chicago News. https://news.uchicago.edu/story/institute-politics-co-host-conference-disinformation-and-erosion-democracy
Bagadiya, J. (2022). 430+ social media statistics you must know in 2022. SocialPilot. https://www.socialpilot.co/blog/social-media-statistics
Barnes, N. (2021, October 12). Twitter. @WickBarnes.
Basch, C. H., Meleo-Erwin, Z., Fera, J., Jaime, C., & Basch, C. E. (2021). A global pandemic in the time of viral memes: COVID-19 vaccine misinformation and disinformation on TikTok. Human Vaccines & Immunotherapeutics, 17(8), 2373-2377.
Batiste, D. (2020). Russia disinformation: Origins of deception. In Samuel Lavoie (Ed.). Panoply Journal (pp. 13-19). https://www.researchgate.net/publication/348097794_Russia_and_Disinformation_Origins_of_Deception
Baum, A. (2021, August 9). Instagram. @AlyssaBaum.
Bergmann, M., & Kenney, C. (2017, June 6). War by other means: Russian active measures and the weaponization of information. American Progress. https://www.americanprogress.org/article/warby-other-means/
Boebert, L. (2021, July 8). Twitter. @laurenboebert
Bond, S. (2021, May 14). Just 12 people are behind most vaccine hoaxes on social media, research shows. NPR. https://www.npr.org/2021/05/13/996570855/disinformation-dozen-test-facebooks-twitters-ability-to-curb-vaccine-hoaxes
Bratslavsky, L., Carpenter, N., & Zompetti, J. P. (2020). Twitter, incivility, and presidential communication: A theoretical incursion into spectacle and power. Cultural Studies, 34(4), 593-624.
Braun, K. A., & Loftus, E. (1998). Advertising’s misinformation effect. Applied Cognitive Psychology, 12(6), 569–591.
CDCWhistleblower (2021a, August 3). Facebook.
CDCWhistleblower (2021b, September 7). Facebook.
CDCWhistleblower (2021c, December 31). Facebook.
Caulfield, M. (2019, June 19). SIFT (The Four Moves). Hapgood. Available, https://hapgood.us/2019/06/19/sift-the-four-moves/
Center for Countering Digital Hate (2021a). The Disinformation Dozen: Why Platforms Must Act on Twelve Leading Online Anti-Vaxxers. Available, https://www.counterhate.com/_files/ugd/f4d9b9_b7cedc0553604720b7137f8663366ee5.pdf
Center for Countering Digital Hate (2021b). Malgorithm: How Instagram’s Algorithm Publishes Misinformation and Hate to Millions During a Pandemic. Available, https://www.counterhate.com/_files/ugd/f4d9b9_89ed644926aa4477a442b55afbeac00e.pdf
Chewning, K. C. (2021, June 28). Instagram. @KellieChristineChewning.
Chu, C. L., & Sanyal, R. (2015). Editorial: Spectacular cities of our time. Geoforum, 65, 399-402.
Cinelli, M., Quattrociocchi, W., Galeazzi, A., Valensise, C. M., Brugnoli, E., Schmidt, A. L., Zola, P., Zollo, F., & Scala, A. (2020). The COVID-19 social media infodemic. Nature Scientific Reports, 10. Available, https://www.nature.com/articles/s41598-020-73510-5.pdf
Cinelli, M., Morales, G. D. F., Galeazzi, A., & Starnini, M. (2021, February 23). The echo chamber effect on social media. PNAS. PNAS. Retrieved November 24, 2022, from https://www.pnas.org/doi/10.1073/pnas.2023301118
Cocchiarella, C. (2021, November 30). Manipulative algorithms and addictive design: Summing up what’s wrong with social media. Mindful Technics. Retrieved February 13, 2022, from https://mindfultechnics.com/manipulative-algorithms-and-addictive-design-summing-up-whats-wrong-with-socialmedia/#:~:text=By%20monitoring%20people's%20online%20behavior,through%20endless%20ads%20and%20content.
Cockes, T. (2021, September 6). Georgia pastor embraces ‘faith over fear’ after COVID-19 battle. Kentucky Today. Available, https://www.kentuckytoday.com/baptist-life/georgia-pastor-embraces-faith-over-fear-after-COVID-19-battle/article_80c7437a-a85d-5d27-9625-e833d066596e.html
Conley, T. M. (1984). The enthymeme in perspective. Quarterly Journal of Speech, 70, 168-187.
Culliford, E. (2021, July 13). TikTok sounds used to spread COVID-19 vaccine misinformation. Reuters. Available, https://www.reuters.com/business/healthcare-pharmaceuticals/tiktok-sounds-used-spread-COVID-19-vaccine-misinformation-think-tank-2021-07-13/
D (2022, January 30). Twitter. @DiSellin.
The Daily Wire (2021, November 4). Facebook.
The Daily Wire (2022, January 20). Facebook.
Debord, G. (2002). Society of the spectacle. Canberra: Hobgoblin Press.
Delaney, K. (2021). The plight of social media: An analysis of the effects social media has on political discourse. Department of Political Science Honors Thesis, Union College. Available, https://digitalworks.union.edu/theses/2454/
Denghua, Y., & Lidan, G. (2020). Para-social interaction in social media and its marketing effectiveness. Foreign Economics & Management, 42(7), 21-35.
Devdariani, J., & Adzinbaia, Z. (2019). Responding to Russian disinformation: A case of Georgia. Available, http://ewmi-access.org/wp-content/uploads/2019/11/Responding-to-Russian-Disinformation_A-Case-of-Georgia_FINAL_English_13.11.2019.pdf
Dickson, E. J. (2020, May 13). On TikTok, COVID-19-19 conspiracy theories flourish amid viral dances. Rolling Stone. Available, https://www.rollingstone.com/culture/culture-features/tiktok-conspiracy-theories-bill-gates-microchip-vaccine-996394/
Dimock, M., & Wike, R. (2021, March 29). America is exceptional in its political divide. Pew Trust Magazine. Available, https://www.pewtrusts.org/en/trust/archive/winter-2021/america-is-exceptional-in-its-political-divide
Edwards, A. (2013). (How) do participants in online discussion forums create ‘echo chambers’?: The inclusion and exclusion of dissenting voices in an online forum about climate change. Journal of Argumentation in Context, 2(1), 127–150.
Faith Food Freedom (2021a, August 3). Instagram. @faithfoodfreedom.
Faith Food Freedom (2021b, August 17). Instagram. @faithfoodfreedom.
Faith Food Freedom (2021c, May 18). Instagram. @faithfoodfreedom.
Edsall, T. B. (2022, January 26). America has split, and it’s now in very dangerous territory. The New York Times. Available, https://www.nytimes.com/2022/01/26/opinion/COVID-19-biden-trump-polarization.html
Garimella, K., De Francisci Morales, G., Gionis, A., & Mathioudakis, M. (2018). Political discourse on social media: Echo chambers, gatekeepers, and the price of bipartisanship. Proceedings of the 2018 World Wide Web Conference, 913-922. Available, https://dl.acm.org/doi/abs/10.1145/3178876.3186139
Garrett, R. K. (2009). Echo chambers online?: Politically motivated selective exposure among internet news users. Journal of Computer-Mediated Communication, 14(2), 265–285.
Golino, M. A. (2021, April 24). Algorithms in social media platforms. Institute for Internet and the Just Society. Retrieved November 24, 2022, from https://www.internetjustsociety.org/algorithms-in-social-media-platforms
Greene, M. T. (2021a, September 9). Facebook.
Greene, M. T. (2021b, September 18). Facebook.
Greene, M. T. (2021c, July 25). Facebook.
Greene, M. T. (2021d, October 4). Facebook.
Greene, M. T. (2021e, October 24). Facebook.
Greene, M. T. (2021f, November 20). Facebook.
Greene, M. T. (2021g, December 10). Facebook.
Greenfield, A. (2017). Radical technologies: The design of everyday life. London: Verso.
Grierson, J., Milmo, D., & Farah, H. (2021, October 8). Revealed: Anti-vaccine TikTok videos being viewed by children as young as nine. The Guardian. Available, https://www.theguardian.com/technology/2021/oct/08/revealed-anti-vaccine-tiktok-videos-viewed-children-as-young-as-nine-COVID-19
Grimes, D. R. (2020). Health disinformation & social media. EMBO Reports, 21(11), 1-4. Available, https://www.embopress.org/doi/full/10.15252/embr.202051819
Grossberg, L. (2018). Under the cover of chaos: Trump and the battle for the American right. Pluto Press.
Guadagno, R. E., & Guttieri, K. (2020). Fake news and information warfare: An examination of the political and psychological processes from the digital sphere to the real world. In Information Resources Management Association (Ed.), Research anthology on fake news, political warfare, and combatting the spread of misinformation (pp. 218-242). Hershey, PA: IGI Global.
Hamilton, I. A. (2020, December 4). Social media superspreaders: Why Instagram, not Facebook, will be the real battleground for COVID-19 vaccine misinformation. Business Insider. Available, https://www.businessinsider.com/instagram-vaccine-misinformation-facaebook-antivaxx-COVID-19-19-2020-12
Harmon-Jones, E., & Mills, J. (2019). An introduction to cognitive dissonance theory and an overview of current perspectives on the theory. In E. Harmon-Jones (Ed.), Cognitive dissonance: Reexamining a pivotal theory in psychology (pp. 3–24). American Psychological Association.
Hannity, S. (2022, January 5). Facebook.
Harris, D. J. (2021, March 11). Facebook. Available, https://www.facebook.com/DavidJHarrisJr/videos/850907412139008/
Hartney, E. (2019). How to know if you have an internet addiction and what to do about it. Very Well Mind. https://www.verywellmind.com/internet-addiction-4157289.
Hassan, M. R., Rahim, S. S. S. A., & Jeffree, M. S. (2021). Pandemic fatigue: A challenge in combatting against COVID-19. Borneo Epidemiology Journal, 2(1). Available, https://jurcon.ums.edu.my/ojums/index.php/bej/article/view/3232
Hatton, J. (2022, February 16). Twitter. @thejoliesfleurs.
Highfield, T., & Leaver, T. (2016). Instagrammatics and digital methods: Studying visual social media, from selfies and GIFs to memes and emoji. Communication Research and Practice, 2(1), 47-62.
Holmes, R. (2016, December 8). The problem isn’t fake news, it’s bad algorithms – here’s why. The Observer. Available, https://observer.com/2016/12/the-problem-isnt-fake-news-its-bad-algorithms-heres-why/
I Trust the Science (2021, August 9). Instagram. @ITrustTheScience.
Jackson, J. (2020, November 24). What’s behind Russia’s disinformation campaign in Georgia. DW. Available, https://www.dw.com/en/whats-behind-russias-disinformation-campaign-in-georgia/a-55708502
Kate (2021, May 15). Instagram.
Kennedy, R. F., Jr. (2021a, May 12). Facebook.
Kennedy, R. F., Jr. (2021b, May 25). Facebook.
Kim, Y. M., Heinrich, R. J., Kim, S. Y., & Baragwanath, R. (2019). Campaigns go social: Are Facebook, Snapchat, and Twitter changing elections? In Travis N. Ridout (Ed.), New directions in media and politics (pp. 122-142). New York: Routledge.
Klacik, K. (2022, January 22). Facebook. Available, https://www.facebook.com/KimberlyNKlacik/posts/461517778936677
Kornbluh, K. (2022, February 8). Disinformation, radicalization, and algorithmic amplification: What steps can congress take? Just Security. Retrieved March 14, 2022, from https://www.justsecurity.org/79995/disinformation-radicalization-and-algorithmic-amplificationwhat-steps-can-congress-take/
Lahren, T. (2021, July 18). Facebook. Available, https://www.facebook.com/photo.php?fbid=359439972211165&set=a.278260926995737&type=3&theater
Lim, M. (2020). Algorithmic enclaves: Affective politics and algorithms in the neoliberal social media landscape. In M. Boler & E. Davis (Eds.), Affective politics of digital media: Propaganda by other means (pp. 186-203). New York: Routledge.
Loomba, S., de Figueirdo, A., Piatek, S. J., de Graaf, K., & Larson, H. J. (2021). Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA. Nature Human Behaviour, 5, 337-348. Available, https://www.nature.com/articles/s41562-021-01056-1.pdf
McGee, M. C. (1980). The “Ideograph”: A link between rhetoric and ideology. The Quarterly Journal of Speech, 66(1), 1-16.
McGuinness, P. (2022, January 1). Facebook.
Mena, P., Barbe, D., & Chan-Olmsted, S. (2020). Misinformation on Instagram: The impact of trusted endorsements on message credibility. Social Media + Society, 6(2), 1-9.
Menczer, F. (2021, September 20). Facebook's algorithms fueled massive foreign propaganda campaigns during the 2020 election – here's how algorithms can manipulate you. The Conversation. Retrieved March 14, 2022, from https://theconversation.com/facebooks-algorithms-fueled-massive-foreign-propagandacampaigns-during-the-2020-election-heres-how-algorithms-can-manipulate-you-168229
Metzger, M. J., & Flanagin, A. J. (2013). Credibility and trust of information online environments: The use of cognitive heuristics. Journal of Pragmatics, 59(B), 210-220.
Michigan Republican Party (2022, February 4). Facebook.
Microsoft (2015). Attention spans. https://sherpapg.com/wpcontent/uploads/2017/12/MAS.pdf
Mirani, L. (2020, June 29). No more going viral: Why not apply social distancing to social media? The Guardian. Available, https://www.theguardian.com/commentisfree/2020/jun/29/social-distancing-social-media-facebook-misinformation
Nimmo, B. (2015, May 19). Anatomy of an info-war: How Russia’s propaganda machine works, and how to counter it. StopFake. Available, https://www.stopfake.org/en/anatomy-of-an-info-war-how-russia-s-propaganda-machine-works-and-how-to-counter-it/
Nusca, A. (2009, February 23). Will Facebook ‘infantilize’ the human mind? ZDnet blog. https://www.zdnet.com/article/will-facebook-infantilize-the-human-mind/
O'Brien, C. (2022, January 19). How do social media algorithms work? Digital Marketing Institute. Retrieved February 14, 2022, from https://digitalmarketinginstitute.com/blog/how-do-social-media-algorithms-work
Pariser, E. (2011). The filter bubble: How the new personalized web is changing what we read and how we think. New York: Penguin.
Pedro, L. (2022, February 25). Twitter. @composureLP.
Perez, S. (2018, October 30). Twitter’s doubling of character count from 140 to 280 had little impact on length of tweets. Tech Crunch. Available, https://techcrunch.com/2018/10/30/twitters-doubling-of-character-count-from-140-to-280-had-little-impact-on-length-of-tweets/
Petrescu, M., & Krishen, A. S. (2020). The dilemma of social media algorithms and analytics. Journal of Marketing Analytics, 8, 187-188.
Poell, T., Nieborg, D., & Duffy, B. E. (Eds.) (2022). Platforms and cultural production. Cambridge, UK: Polity Press.
Prior, M. (2013). Media and political polarization. Annual Review of Political Science, 16, 101–127.
Provenzano, B. (2021, August 18). TikTok’s algorithm is speeding up the spread of COVID-19 vaccine lies. Gizmodo. Available, https://gizmodo.com/tiktoks-algorithm-is-speeding-up-the-spread-of-COVID-19-19-1847512268
Quattrociocchi, W., Scala, A., & Sunstein, C. R. (2016). Echo chambers on Facebook. The Harvard John M. Olin Discussion Paper Series. Available, http://www.law.harvard.edu/programs/olin_center/papers/pdf/Sunstein_877.pdf
Racer1X (2021, October 5). Twitter. @RacerX23011493.
Rajean (2021, August 25). Twitter. @Rajeanmachine.
Roeder, L. (2021, July 23). Should you actually tweet 280 characters at a time? Meet Edgar. Available, https://meetedgar.com/blog/should-you-actually-tweet-280-characters-at-a-time/
Rogan, J. (2020, October 28). Instagram. Available, https://www.instagram.com/p/CG54ZTvAdQC/?hl=en
Savitz, E. J. (2021, October 8). Which social-media networks do teens like the most? Not Facebook and Twitter. Barron’s. Available, https://www.barrons.com/articles/teens-facebook-instagram-tiktok-snapchat-51633736150
Schrader, M. (2021, July 16). Schrader: Rep. Lauren Bomber’s anti-vaccine tweets are hurting an already struggling community. The Denver Post. Available, https://www.denverpost.com/2021/07/16/lauren-boebert-anti-vaccine-tweets-colorado-COVID-19-19/
Sehl, K. (2020, May 28). Top Twitter demographics that matter to social media marketers. Hootsuite. Available, https://blog.hootsuite.com/twitter-demographics/
Settle, J. E. (2018). Frenemies: How social media polarizes America. Cambridge, UK: Cambridge University Press.
Statista (2022, March 8). Most popular social networks worldwide as of January 22, ranked by number of monthly active users. Statista. Available, https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/
Thatcher, J., & Dalton, C. M. (2017). Data derives: Confronting digital geographic information as spectacle. In Marco Briziarelli & Emiliana Armano (Eds.), The spectacle 2.0: Reading Debord in the context of digital capitalism (pp. 135-150). London: University of Westminster Press.
Three Equals Five (2022, February 12). Twitter. @ThreeEqualsFive.
Tiffany, K. (2019, March 22). Why Instagram’s anti-vaccine problem isn’t surprising. Vox. Available, https://www.vox.com/the-goods/2019/3/22/18277429/instagram-anti-vaccine-hashtag-ban-facebook-wellness
United We Stand (2021, December 27). Instagram. @UnitedWeStand.
United We Stand (2022, January 9). Instagram. @UnitedWeStand.
van Eemeren, F. H., Garssen, B., & Meuffels, B. (2012). The disguised abusive ad hominem empirically investigated: Strategic manoeuvering with direct personal attacks. Thinking & Reasoning, 18(3), 344-364.
Voices21 (2022, January 1). Instagram. @Voices21.
Walker, S., Mercea, D., & Marco, B. (2019). The disinformation landscape and the lockdown of social platforms. Information Communication and Society, September. https://www.researchgate.net/publication/335487188
Whale (2020, October 16). Instagram. @TheWhale.
The Woke Room (2021a, May 22). Instagram. @TheWokeRoom.
The Woke Room (2021b, June 3). Instagram. @TheWokeRoom.
Woods, John (1998). Argumentum ad Baculum. Argumentation, 12, 493-504.
Worldometers (2022, April 17). COVID-19 Coronavirus pandemic. Available, https://www.worldometers.info/coronavirus/
Zompetti, J. P. (2018). Divisive discourse: The extreme rhetoric of contemporary American politics (2nd ed.). San Francisco: Cognella.
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