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Articles

‘Do your own research': affordance activation and disinformation spread

ORCID Icon, &
Pages 1212-1228 | Received 19 Oct 2022, Accepted 03 Jul 2023, Published online: 30 Aug 2023

References

  • Adams, D. M., & Pilloud, M. A. (2021). Perceptions of race and ancestry in teaching, research, and public engagement in biological anthropology. Human Biology, 93(1), 9. https://doi.org/10.13110/humanbiology.93.1.01
  • Ahmed, S. (2017). Living a feminist life (D. Couling, Trans.). Duke University Press.
  • Anderson, C. W. (2021). Fake news is not a virus: On platforms and their effects. Communication Theory, 31(1), 42–61. https://doi.org/10.1093/ct/qtaa008
  • Baym, N. K. (2015). Personal connections in the digital age. Polity Press.
  • Benkler, Y., Farris, R., & Roberts, H. (2018). Network propaganda (Vol. 1). Oxford University Press.
  • Bijker, W. E. (1995). Of bicycles, bakelites, and bulbs: Toward a theory of sociotechnical change. MIT Press.
  • Boyd, D. (2010). Social network sites as networked publics: Affordances, dynamics, and implications. In Z. Papacharissi (Ed.), A networked self (0 ed., pp. 47–66). Routledge.
  • Breakstone, J., Smith, M., Connors, P., Ortega, T., Kerr, D., & Wineburg, S. (2021). Lateral reading: College students learn to critically evaluate internet sources in an online course. Harvard Kennedy School Misinformation Review.
  • Brodsky, J. E., Brooks, P. J., Scimeca, D., Todorova, R., Galati, P., Batson, M., Grosso, R., Matthews, M., Miller, V., & Caulfield, M. (2021). Improving college students’ fact-checking strategies through lateral reading instruction in a general education civics course. Cognitive Research: Principles and Implications, 6(1), 23. https://doi.org/10.1186/s41235-021-00291-4
  • Bucher, T. (2012). Want to be on the top? Algorithmic power and the threat of invisibility on Facebook. New Media & Society, 14(7), 1164–1180. https://doi.org/10.1177/1461444812440159
  • Bucher, T. (2017). The algorithmic imaginary: Exploring the ordinary affects of Facebook algorithms. Information, Communication & Society, 20(1), 30–44. https://doi.org/10.1080/1369118X.2016.1154086
  • Bucher, T., & Helmond, A. (2018). The affordances of social media platforms. In J. Burgess, A. Marwick, & T. Poell (Eds.), The SAGE handbook of social media (pp. 233–253). SAGE Publications Ltd.
  • Canizales, S. L., & Vallejo, J. A. (2021). Latinos & racism in the Trump era. Daedalus, 150(2), 150–164. https://doi.org/10.1162/daed_a_01852
  • Cantril, H. (1940). The invasion from Mars; a study in the psychology of panic. Princeton University Press.
  • Chakravartty, P., Kuo, R., Grubbs, V., & McIlwain, C. (2018). #CommunicationSoWhite. Journal of Communication, 68(2), 254–266. https://doi.org/10.1093/joc/jqy003
  • Chen, E., Chang, H., Rao, A., Lerman, K., Cowan, G., & Ferrara, E. (2021). COVID-19 misinformation and the 2020 U.S. presidential election. Harvard Kennedy School Misinformation Review.
  • Conger, K., & Isaac, M. (2021, January 8). Twitter permanently bans Trump, capping online revolt. The New York Times.
  • Daniels, J. (2009). Cloaked websites: Propaganda, cyber-racism and epistemology in the digital era. New Media & Society, 11(5), 659–683. https://doi.org/10.1177/1461444809105345
  • Daniels, J. (2018). The algorithmic rise of the “alt-right”. Contexts, 17(1), 60–65. https://doi.org/10.1177/1536504218766547
  • Delkic, M. (2022, May 10). Trump’s banishment from Facebook and Twitter: A timeline. The New York Times.
  • DiMaggio, A. R. (2022). Conspiracy theories and the manufacture of dissent: QAnon, the ‘big lie’, COVID-19, and the rise of rightwing propaganda. Critical Sociology, 48(6), 1025–1048. https://doi.org/10.1177/08969205211073669
  • Ellison, N. B., & Vitak, J. (2015). Social network site affordances and their relationship to social capital processes. In S. S. Sundar (Ed.), The handbook of the psychology of communication technology (1st ed., pp. 203–227). Wiley.
  • Freelon, D., & Wells, C. (2020). Disinformation as political communication. Political Communication, 37(2), 145–156. https://doi.org/10.1080/10584609.2020.1723755
  • Garcia, L. C. (2020). From the margins to the center: Legitimation strategies from an alt-right case study. Virginia Commonwealth University.
  • Gaver, W. W. (1991). Technology affordances. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems Reaching Through Technology - CHI ‘91, 79–84.
  • Gibson, J. J. (1977). The theory of affordances. In R. Shaw, & J. Bransford (Eds.), Perceiving, acting, and knowing: Toward an ecological psychology (pp. 67–82). Erlbaum.
  • Gilbert, B. (2019, September 28). A US soldier working at Mar-a-Lago uploaded photos of an underage girl to a Russian website—a closer look at the site reveals a horrific underworld. Business Insider.
  • Gitlin, T. (1980). The whole world is watching: Mass media in the making & unmaking of the new left. University of California Press.
  • Goffman, E. (1959). The Presentation of Self in Everyday Life. New York: Anchor.
  • Goffman, E. (1974). Frame analysis: An essay on the organization of experience. Harper & Row.
  • Golebiewski, M., & boyd, D. (2019). Data voids: Where missing data can easily be exploited. Data & Society Research Institute.
  • Google and Censorship through Search Engines. (2019). Hearing before the senate committee on the judiciary, subcommittee on the constitution, 116th congress.
  • Gottfried, J., & Liedke, J. (2022). U.S. adults under 30 now trust information from social media almost as much as from national news outlets. Pew Research Center. https://www.pewresearch.org/short-reads/2022/10/27/u-s-adults-under-30-now-trust-information-from-social-media-almost-as-much-as-from-national-news-outlets/
  • Haider, J., & Sundin, O. (2019). Invisible search and online search engines: The ubiquity of search in everyday life (1st ed.). Routledge.
  • Hawley, G. (2017). Making sense of the alt-right (p. 232). Columbia University Press.
  • Hemmer, N. (2016). Messengers of the right: Conservative media and the transformation of American politics. University of Pennsylvania Press.
  • Hutchby, I. (2001). Technologies, texts and affordances. Sociology, 35(2), 441–456. https://doi.org/10.1177/S0038038501000219
  • Introna, L. D., & Nissenbaum, H. (2000). Shaping the web: Why the politics of search engines matters. The Information Society, 16(3), 169–185. https://doi.org/10.1080/01972240050133634
  • Jack, C. (2017). Lexicon of lies: Terms for problematic information (p. 22). Data & Society Research Institute.
  • Jackson, S. J., Bailey, M., & Welles, B. F. (2020). #HashtagActivism: Networks of race and gender justice. MIT Press.
  • Jiang, J., & Vetter, M. A. (2020). The good, the bot, and the ugly: Problematic information and critical media literacy in the post digital era. Postdigital Science and Education, 2(1), 78–94. https://doi.org/10.1007/s42438-019-00069-4
  • Kellner, D., & Share, J. (2005). Toward critical media literacy: Core concepts, debates, organizations, and policy. Discourse: Studies in the Cultural Politics of Education, 26(3), 369–386. https://doi.org/10.1080/01596300500200169
  • Kirdemir, B., Agarwal, N., & Chair, M.-E. (2020). Social media, news, polarization, and disinformation in times of crisis: A case study on Turkey. 5.
  • Larsen, S. (2007). The anti-immigration movement: From shovels to suits. NACLA Report on the Americas, 40(3), 14–18. https://doi.org/10.1080/10714839.2007.11722307
  • Latour, B. (2005). Reassembling the social: An introduction to actor-network-theory. Oxford University Press.
  • Lee, C., Yang, T., Inchoco, G. D., Jones, G. M., & Satyanarayan, A. (2021). Viral visualizations: How coronavirus skeptics use orthodox data practices to promote unorthodox science online. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 1–18.
  • Lewis, R. (2018). Alternative influence: Broadcasting the reactionary right on YouTube (p. 61). Data & Society Research Institute.
  • Luker, K. (2010). Salsa dancing into the social sciences: Research in an age of info-glut. Harvard University Press.
  • Lyons, M. N. (2017). Ctrl-Alt-Delete: An antifascist report on the alternative right. In K. Kersplebedeb (Ed.), Ctrl-Alt-Delete: An antifascist report on the alternative right. Kersplebedeb Publishing.
  • Mak, A. (2022, March 15). The DuckDuckGo users furious at its response to the war in Ukraine. Slate. https://slate.com/technology/2022/03/duckduckgo-russian-disinformation-downranking.html
  • Marwick, A., & Lewis, R. (2017). Media manipulation and disinformation online (p. 106). Data & Society Research Institute.
  • Marwick, A. E. (2018). Why do people share fake news? A sociotechnical model of media effects. Georgetown Law Technology Review, 2(2), 474–512.
  • Marwick, A. E., & Partin, W. C. (2022). Constructing alternative facts: Populist expertise and the QAnon conspiracy. New Media & Society, 14614448221090200.
  • Mason, L. E., Krutka, D., & Stoddard, J. (2018). Media literacy, democracy, and the challenge of fake news. Journal of Media Literacy Education, 10(2), 1–10. https://doi.org/10.23860/JMLE-2018-10-2-1
  • McGrew, S., Smith, M., Breakstone, J., Ortega, T., & Wineburg, S. (2019). Improving university students’ web savvy: An intervention study. British Journal of Educational Psychology, 89(3), 485–500. https://doi.org/10.1111/bjep.12279
  • Mills, M. (2021). Introduction: “Citation networks as antidiscriminatory practice”. Catalyst: Feminism, Theory, Technoscience, 7(2), 4. https://doi.org/10.28968/cftt.v7i2.37645
  • Nagy, P., & Neff, G. (2015). Imagined affordance: Reconstructing a keyword for communication theory. Social Media + Society, 1(2), 205630511560338. https://doi.org/10.1177/2056305115603385
  • Nisbet, E. C., Mortenson, C., & Li, Q. (2021). The presumed influence of election misinformation on others reduces our own satisfaction with democracy. Harvard Kennedy School Misinformation Review.
  • Norman, D. A. (2014). The design of everyday things, revised and expanded edition. MIT Press.
  • Norton, M. I., Mochon, D., & Ariely, D. (2012). The IKEA effect: When labor leads to love. Journal of Consumer Psychology, 22(3), 453–460. https://doi.org/10.1016/j.jcps.2011.08.002
  • Ognyanova, K., Lazer, D., Robertson, R. E., & Wilson, C. (2020). Misinformation in action: Fake news exposureis linked to lower trust in media, higher trust in government when your side is in power. Harvard Kennedy School Misinformation Review.
  • Orwell, G. (2021). Nineteen eighty–four. Penguin Classics. (Original work published 1949).
  • Phillips, W., & Milner, R. (2021). You are here: A field guide for navigating poliarized speech, conspiracy theories, and our polluted media landscape. The MIT Press.
  • PRRI Staff. (2022). The persistence of QAnon in the post-Trump era: An analysis of who believes the conspiracies (p. 14). Public Religion Research Institute (PRRI).
  • Rainie, L., Keeter, S., & Perrin, A. (2022). Trust and distrust in America. Pew Research Center. 2019.
  • Roberts, S. T. (2019). Behind the screen: Content moderation in the shadows of social media. Yale University Press.
  • Saini, A. (2019). Superior: The return of race science. Beacon Press.
  • Small, M. L. (2009). `How many cases do I need?'. Ethnography, 10(1), 5–38. https://doi.org/10.1177/1466138108099586
  • Starbird, K., Arif, A., & Wilson, T. (2019). Disinformation as collaborative work. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 1–26. https://doi.org/10.1145/3359229
  • Starbird, K., DiResta, R., & DeButts, M. (2023). Influence and Improvisation: Participatory Disinformation during the 2020 US Election. Social Media + Society, 9(2), 205630512311779. https://doi.org/10.1177/20563051231177943
  • Stifling Free Speech: Technological Censorship and the Public Discourse. (2019). Hearing before the committee on the judiciary, subcommittee on the constitution, 116th congress. committee on the judiciary, subcommittee on the constitution.
  • Tannenbaum, M. (2013). “But I didn't mean it!” Why it's so hard to prioritize impacts over intents. Scientific American – Psychological Science in the Public Interest.
  • Thompson, S. A. (2022, February 23). Fed up with Google, conspiracy theorists turn to DuckDuckGo. The New York Times.
  • Tripodi, F. (2018). Searching for alternative facts: Analyzing scriptural inference in conservative news practices. Data & Society Research Institute.
  • Tripodi, F., & Ma, Y. (2022). You’ve got mail: How the Trump administration used legislative communication to frame his last year in office. Information, Communication & Society, 25(5), 669–689. https://doi.org/10.1080/1369118X.2021.2020873
  • Tripodi, F. B. (2021). ReOpen demands as public health threat: A sociotechnical framework for understanding the stickiness of misinformation. Computational and Mathematical Organization Theory, 28(4), 321–334.
  • Tripodi, F. B. (2022). The propagandists’ playbook: How conservative elites manipulate search and threaten democracy. Yale University Press.
  • Trist, E. L., & Bamforth, K. W. (1951). Some social and psychological consequences of the longwall method of coal-getting. Human Relations, 4(1), 3–38. https://doi.org/10.1177/001872675100400101
  • Tufecki, Z. (2018). Twitter and tear gas: The power and fragility of networked protest. Yale University Press.
  • Uyheng, J., Bellutta, D., & Carley, K. M. (2022). Bots amplify and redirect hate speech in online discourse about racism during the COVID-19 pandemic. Social Media + Society, 8(3), 205630512211047. https://doi.org/10.1177/20563051221104749
  • Vaidhyanathan, S. (2019, July 28). Why conservatives allege big tech is muzzling them. The Atlantic.
  • Wineburg, S., Breakstone, J., McGrew, S., Smith, M. D., & Ortega, T. (2022). Lateral reading on the open internet: A district-wide field study in high school government classes. Journal of Educational Psychology, 114(5), 893–909. https://doi.org/10.1037/edu0000740
  • Yin, L., Roscher, F., Bonneau, R., Nagler, J., & Tucker, J. A. (2018). Your friendly neighborhood troll: The internet research agency’s use of local and fake news in the 2016 U.S. Presidential campaign [Data Report]. NYU Center for Social Media and Politics.
  • Yin, R. K. (2014). Case study research: Design and methods (Fifth edition.). SAGE.
  • Zade, H., Wack, M., Zhang, Y., Starbird, K., Calo, R., Young, J., & West, J. D. (2022). Auditing google’s search headlines as a potential gateway to misleading content: Evidence from the 2020 US election. Journal of Online Trust and Safety, 1(4). https://doi.org/10.54501/jots.v1i4.72
  • Zaru, D. (2021, January 13). Trump Twitter ban raises concerns over “unchecked” power of big tech. ABC News.