The Scary Black Box: AI Driven Recommender Algorithms as The Most Powerful Social Force
DOI:
https://doi.org/10.21301/eap.v17i2.11Keywords:
mass media, social polarization, echo chambers, negative news, recommender systemsAbstract
Recommender algorithms shape societies by individually exposing online users to everything they see, hear and feel in real time. We examine the development of recommender algorithms from the Page Rank and advertising platforms to social media trending tools to draw conclusions about their social effects. Decisions on how to simplify the complex world around us into dozens of possibilities immensely affect societies and individuals. Similar to our perceptive apparatus, algorithms are eyes and ears in the online world, as they focus our attention towards what they "think" should be important, which is similar to news priming. That is why recommender algorithms are compared to mass media, given their similar roles to sell products and prolong content exposure of online users. This inquiry concludes that AI driven recommender algorithms represent the most powerful social force at present.
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AdChoices. 2022. “Frequently Asked Questions about the Digital Advertising Alliance and Its Consumer Choice Tools: WebChoices, AppChoices and YourAdChoices.” YourAdChoices. Accessed January 19, 2022. https://youradchoices.com/choices-faq.
AdSettings. 2022. “Ad personalization.” Google. Accessed January 1, 2022. https://adssettings.google.com/.
Ali, Khawla F, Simon Whitebridge, Mohammad H Jamal, Mohammad Alsafy, and Stephen L Atkin. 2020. “Perceptions, knowledge, and behaviors related to COVID-19 among social media users: Cross-sectional study.” Journal of medical Internet research 22 (9): e19913. https://dx.doi.org/10.2196%2F19913.
Azucar, Danny, Davide Marengo, and Michele Settanni. 2018. ”Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis.” Personality and Individual Differences 124: 150–159. https://doi.org/10.1037/a0030383.
Baumeister, Roy F., Ellen Bratslavsky, Catrin Finkenauer, and Kathleen D. Vohs. 2001. “Bad Is Stronger than Good.” Review of General Psychology 5 (4): 323–70. https://doi.org/10.1037/1089-2680.5.4.323.
Bojic, Ljubisa. 2021. “How Media Directly Impact Society: A Psychometric Analysis of Leading Twitter News Profiles and their Followers in Serbia.” In Romina Surugiu, Adriana Stefanel, Nicoleta Apostol (eds.), 30 de ani de învăţământ jurnalistic şi de comunicare în Estul Europei/30 Years of Higher Education in Journalism and Communication in Eastern Europe, 483-504. Bucharest: Tritonic. https://rifdt.instifdt.bg.ac.rs/handle/123456789/2365.
Bojic, Ljubisa, Damir Zejnulahovic, and Milos Jankovic. 2021. “Tehno-feudalizam na primerima Trampove suspenzije sa Tvitera i spora Australije sa Guglom i Fejsbukom.” Sociološki pregled 55 (2): 538-561. https://doi.org/10.5937/socpreg55-32105
Bojic, Ljubisa, Maja Zaric, and Simona Zikic. 2021. “Worrying impact of artificial intelligence and big data through the prism of recommender systems.” Issues in Ethnology and Anthropology 16 (3): 935-957. https://doi.org/10.21301/eap.v16i3.13.
Bojic, Ljubisa. 2022. Culture Organism or Techno-Feudalism: How Growing Addictions and Artificial Intelligence Shape Contemporary Society. Belgrade: Institute for Philosophy and Social Theory.
Bojic, Ljubisa, Nemanja Nikolic, and Lana Tucakovic. 2022. “Wars of Echo Chambers: Analysis of Covid-19 Echo Chambers in Serbia.” Communications 48 (2).
Brown, Eileen. 2017. “9 out of 10 Americans don't fact-check information they read on social media.” ZdNet. Accessed December 1, 2021. https://www.zdnet.com/article/nine-out-of-ten-americans-dont-fact-check-information-they-read-on-social-media/.
Cadwalladr, Carole. 2017. “The great British Brexit robbery: How our democracy was hijacked.” The Guardian. Accessed January 18, 2022. https://www.theguardian.com/technology/2017/may/07/the-great-british-brexit-robbery-hijacked-democracy.
Callaham, John. 2021. “The history of Android: The evolution of the biggest mobile OS in the world.” Android Authority. Accessed January 18, 2022. https://www.androidauthority.com/history-android-os-name-789433/.
Cinelli, Matteo, Gianmarco De Francisci Morales Morales, Alessandro Galeazzi, Walter Quattrociocchi, and Michele Starnini. 2021. “The echo chamber effect on social media.” Proceedings of the National Academy of Sciences 118 (9). https://doi.org/10.1073/pnas.2023301118.
Conway-Silva, Bethany A., Christine R. Filer, Kate Kenski, and Eric Tsetsi. 2018. “Reassessing Twitter’s Agenda-Building Power: An Analysis of Intermedia Agenda-Setting Effects During the 2016 Presidential Primary Season.” Social Science Computer Review 36 (4): 469–83. https://doi.org/10.1177/0894439317715430.
Coviello, Lorenzo, James H. Fowler Fowler, and Massimo Franceschetti. 2014. “Words on the web: Noninvasive detection of emotional contagion in online social networks.” Proceedings of the IEEE 102 (12): 1911–1921. https://doi.org/10.1109/jproc.2014.2366052.
Dang-Xuan, Linh, and Stefan Stieglitz. 2021. “Impact and Diffusion of Sentiment in Political Communication – An Empirical Analysis of Political Weblogs.” Proceedings of the International AAAI Conference on Web and Social Media 6 (1): 427-30. https://ojs.aaai.org/index.php/ICWSM/article/view/14326.
Deeva, Irina. 2019. “Computational Personality Prediction Based on Digital Footprint of A Social Media User.” Procedia Computer Science 156: 185-193. https://doi.org/10.1016/j.procs.2019.08.194.
Derks, Daantje, Agneta H. Fischer, and Arjan E. R. Bosc. 2008. “The role of emotion in computer-mediated communication: A review.” Computers in Human Behavior 24 (3): 766–785. https://doi.org/10.1016/j.chb.2007.04.004.
Doyle, Evan, and Young Lee. 2016. “Context, context, context: Priming theory and attitudes towards corporations in social media.” Public Relations Review 42 (5): 913–919. http://dx.doi.org/10.1016%2Fj.pubrev.2016.09.005.
Farnadi, Golnoosh, Geetha Sitaraman, Shanu Sushmita, Fabio Celli, Michal Kosinski, David Stillwell, Sergio Davalos, Marie-Francine Moens, and Martine De Cock. 2016. “Computational personality recognition in social media.” User Modeling and User-Adapted Interaction 26 (2): 109-142. https://doi.org/10.1007/s11257-016-9171-0.
Feezell, Jessica T. 2018. “Agenda Setting through Social Media: The Importance of Incidental News Exposure and Social Filtering in the Digital Era.” Political Research Quarterly 71 (2): 482–94. https://doi.org/10.1177/1065912917744895.
Ferrara, Emilio, and Zeyao Yang. 2015. “Measuring emotional contagion in social media.” Plos One 10 (11): e0142390. https://doi.org/10.1371/journal.pone.0142390.
Frenda, Steven J., Rebecca M. Nichols, and Elizabeth F. Loftus. 2011. “Current Issues and Advances in Misinformation Research.” Current Directions in Psychological Science 20 (1): 20–23. https://doi.org/10.1177/0963721410396620.
Garimella, Kiran, Gianmarco De Francisci Morales, Aristides Gionis, and Michael Mathioudakis. 2018. “Political discourse on social media: Echo chambers, gatekeepers, and the price of bipartisanship.” In Proceedings of the 2018 World Wide Web Conference, Geneva, Switzerland: International World Wide Web Conferences Steering Committee. https://arxiv.org/abs/1801.01665.
Gates, Bill. 1995. The Road Ahead. New York: Viking Press. https://www.amazon.com/Road-Ahead-Bill-Gates/dp/0670859133.
Georgiev, Deyan. 2022. “111+ Google Statistics and Facts That Reveal Everything About the Tech Giant.” Review42. Accessed January 18, 2022. https://review42.com/resources/google-statistics-and-facts/.
Google. 2022. Google. https://www.google.com/.
Gray, Catherine. 2021. “How Google became the world's most popular search engine.” Technology Magazine. Accessed December 11, 2021. https://technologymagazine.com/digital-transformation/how-google-became-worlds-most-popular-search-engine.
Greving, Hannah, Aileen Oeberst, Joachim Kimmerle, and Ulrike Cress. 2018. “Emotional Content in Wikipedia Articles on Negative Man-Made and Nature-Made Events.” Journal of Language and Social Psychology 37 (3): 267–87. https://doi.org/10.1177/0261927X17717568.
Graham, Jefferson. 2022. “Is Facebook listening to me? Why those ads appear after you talk about things.” USA Today. Accessed January 18, 2022. https://www.usatoday.com/story/tech/talkingtech/2019/06/27/does-facebook-listen-to-your-conversations/1478468001/.
Haring, Melinda, and Michael Cecire. 2013. “Why the Color Revolutions Failed.” Foreign Policy. Accessed January 18, 2022. https://foreignpolicy.com/2013/03/18/why-the-color-revolutions-failed/.
Harrington, Kent M. 2019. “Surveillance Is the Business Model of the Internet. What's Coming Next?” MediaVillage. Accessed January 18, 2022. https://www.mediavillage.com/article/surveillance-is-the-business-model-of-the-internet-whats-coming-next/.
Hatfield, Elaine, John T. Cacioppo, and Richard L. Rapson. 1993. Emotional Contagion. (Studies in Emotion and Social Interaction). Cambridge: Cambridge University Press. https://doi.org/10.1017/CBO9781139174138.
Hinds, Joanne, and Adam Joinson. 2019. “Human and computer personality prediction from digital footprints.” Current Directions in Psychological Science 28 (2): 204-211. https://doi.org/10.1177/0963721419827849.
Hsieh, Hsiu-Fang, and Sarah E Shannon. 2005. “Three approaches to qualitative content analysis.” Qualitative Health Research 15 (9): 1277−1288. https://doi.org/10.1177/1049732305276687.
Isaacson, Walter. 2011. Steve Jobs: The Exclusive Biography. New York: Simon & Schuster. https://www.goodreads.com/book/show/1081637.The_Road_Ahead.
Jobs, Steve. 2010. “Steve Jobs Introducing The iPhone At MacWorld 2007.” Accessed December 1, 2021. YouTube. https://www.youtube.com/watch?v=x7qPAY9JqE4
Johnson, Joseph. 2021. “Worldwide digital population as of January 2021.” Statista. Accessed December 1, 2021. https://www.statista.com/statistics/617136/digital-population-worldwide/.
Kalsnes, Bente, and Anders Olof Larsson. 2017. “Understanding news sharing across social media.” Journalism Studies 19 (11): 1669–1688. https://doi.org/10.1080/1461670x.2017.1297686.
Kaplan, Andreas, and Michael Haenlein. 2010. “Users of the world, unite! The challenges and opportunities of social media.” Business Horizons 53 (1): 59–68. https://doi.org/10.1016/j.bushor.2009.09.003
Lamberti, Fabrizio, Andrea Sanna, and Claudio Demartini. 2009. "A Relation-Based Page Rank Algorithm for Semantic Web Search Engines." IEEE Transactions on Knowledge and Data Engineering 21 (1): 123-136. https://doi.org/10.1109/TKDE.2008.113.
Li, Heidi Oi-Yee Li, Adrian Bailey, David Huynh, James Chan. 2020. “YouTube as a source of information on COVID-19: a pandemic of misinformation?” BMJ Global Health 5 (5): e002604. https://doi.org/10.1136/bmjgh-2020-002604.
Liebrecht, Christine, Lettica Hustinx, and Margot van Mulken. (2019). “The Relative Power of Negativity: The Influence of Language Intensity on Perceived Strength.” Journal of Language and Social Psychology 38 (2): 170–93. https://doi.org/10.1177/0261927X18808562.
Mission. 2022. “Our Approach to Search.” Google. Accessed January 1, 2022. https://www.google.com/search/howsearchworks/mission/.
Murugesan, San. (2007). "Understanding Web 2.0." IT Professional 9 (4): 34-41. https://doi.org/10.1109/MITP.2007.78.
Newman, Nic, Richard Fletcher, Anne Schulz, Simge Andi, Craig T. Robertson, and Rasmus Kleis Nielsen. 2021. “Reuters Institute Digital News Report 2021.” Reuters Institute for the Study of Journalism. Accessed December 1, 2021. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2021-06/Digital_News_Report_2021_FINAL.pdf.
Nickerson, Raymond S. 1998. “Confirmation Bias: A Ubiquitous Phenomenon in Many Guises.” Review of General Psychology 2 (2): 175–220. https://doi.org/10.1037/1089-2680.2.2.175.
Nunez, Michael. 2016. “Former Facebook Workers: We Routinely Suppressed Conservative News.” Gizmodo. Accessed December 1, 2021. https://gizmodo.com/former-facebook-workers-we-routinely-suppressed-conser-1775461006.
Obrelo. 2021. “Most Popular Web Browsers in 2021.” Obrelo. Accessed December 1, 2021. https://www.oberlo.com/statistics/browser-market-share.
Park, Sup Park. 2015. “Applying “negativity bias” to Twitter: Negative news on Twitter, emotions, and political learning.” Journal of Information Technology & Politics 12 (4): 342–359. https://doi.org/10.1080/19331681.2015.1100225.
Paul, Kari. 2020. “Russian hackers targeting US political campaigns ahead of elections, Microsoft warns.” The Guardian. Accessed December 1, 2021. https://www.theguardian.com/technology/2020/sep/10/microsoft-russia-us-election-2020-hackers.
Pavlovic, Maja, and Ljubisa Bojic. 2020. “Political marketing and strategies of digital illusions – examples from Venezuela and Brazil.” Sociološki pregled 54 (4): 1391-1414. https://doi.org/10.5937/socpreg54-27846.
Perrigo, Billy. 2021. “Inside Frances Haugen's Decision to Take on Facebook.” Time. Accessed November 22, 2021. https://time.com/6121931/frances-haugen-facebook-whistleblower-profile/.
Petrov, Christo. 2022. “52 Gmail Statistics To Show How Big It Is In 2021.” TechJury. Accessed January 5, 2022. https://techjury.net/blog/gmail-statistics/#gref
Pew. 2019. “Americans Are Wary of the Role Social Media Sites Play in Delivering the News.” Pew Research Center. Accessed December 1, 2021. https://www.journalism.org/wp-content/uploads/sites/8/2019/09/PJ_2019.09.25_Social-Media-and-News_FINAL.pdf.
Philippe Maarek. 2014. “Politics 2.0: New forms of digital political marketing and political communication.” Trípodos 34: 13-22. http://www.tripodos.com/index.php/Facultat_Comunicacio_Blanquerna/article/view/163.
Phillips, Sara. 2007. “A brief history of Facebook.” The Guardian. Accessed December 1, 2021. https://www.theguardian.com/technology/2007/jul/25/media.newmedia.
Possati, Luca M. 2020. “Algorithmic unconscious: why psychoanalysis helps in understanding AI.” Palgrave Communications 6 (70). https://doi.org/10.1057/s41599-020-0445-0.
Redding, Ryan. 2019. A Brief History of Google Ad Strategy (and why you should care). DP Marketing Services. Accessed December 1, 2021. https://www.dpmarketing.services/a-brief-history-of-google-ad-strategy-and-why-you-should-care.
Richter, Felix. 2020. “The End of the TV Era?” Accessed December 1, 2021. Statista. https://www.statista.com/chart/9761/daily-tv-and-internet-consumption-worldwide/.
Rieger, Marc Oliver, and Mei Wang. 2020. “Trust in Government Actions during the COVID-19 Crisis.” Universitat Trier. Accessed December 1, 2021. https://www.uni-trier.de/fileadmin/fb4/prof/BWL/FIN/Files/Trust_in_Government_Actions_during_the_COVID-19_Crisis.pdf.
Risso, Linda. 2018. “Harvesting your soul? Cambridge analytica and brexit.” In Brexit Means Brexit? The Selected Proceedings of the Symposium, Akademie der Wissenschaften und der Literatur, 75-90, Mainz, Germany: Akademie der Wissenschaften und der Literatur. https://www.adwmainz.de/fileadmin/user_upload/Brexit-Symposium_Online-Version.pdf.
Rozin, Paul, and Edward B. Royzman. 2001. “Negativity Bias, Negativity Dominance, and Contagion.” Personality and Social Psychology Review 5 (4): 296–320. https://doi.org/10.1207/S15327957PSPR0504_2.
Schmidt, Ana Lucía, Zollo, Fabiana, Scala, Antonio, Betsch, Cornelia, and Quattrociocchi, Walter. 2018. “Polarization of the vaccination debate on Facebook.” Vaccine 36 (25): 3606–3612. https://doi.org/10.1016/j.vaccine.2018.05.040.
Sear, Richard F., Nicolás Velásquez, Rhys Leahy, Nicholas Johnson Restrepo, Sara El Oud, Nicholas Gabriel, Yonatan Lupu, and Neil F. Johnson. 2020. “Quantifying COVID-19 content in the online health opinion war using machine learning.” IEEE Access 8: 91886-91893. https://doi.org/10.1109/ACCESS.2020.2993967.
Settanni, Michele, Danny Azucar, and Davide Marengo. 2018. “Predicting individual characteristics from digital traces on social media: A meta-analysis.” Cyberpsychology, Behavior, and Social Networking 21 (4): 217-228. https://doi.org/10.1089/cyber.2017.0384.
Skowron, Marcin, Marko Tkalčič, Bruce Ferwerda, and Markus Schedl. 2016. ”Fusing social media cues: personality prediction from twitter and instagram.” In Proceedings of the 25th International Conference Companion on World Wide Web, 107-108, Geneva, Switzerland: International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/2872518.2889368.
Spohr, Dominic. 2017. “Fake news and ideological polarization: Filter bubbles and selective exposure on social media.” Business Information Review 34 (3): 150–160. https://doi.org/10.1177/0266382117722446.
Steinfeld, Nili. 2016. “I agree to the terms and conditions”: (How) do users read privacy policies online? An eye-tracking experiment." Computers in Human Behavior 55(B): 992-1000. https://doi.org/10.1016/j.chb.2015.09.038.
StatCounter. 2022. “Search Engine Market Share Worldwide.” StatCounter. Accessed December 1, 2021. https://gs.statcounter.com/search-engine-market-share.
Statista. 2021. “Level of consent to cookies usage in the U.S. 2021, by age.” Statista. Accessed December 1, 2021. https://www.statista.com/statistics/989896/users-consent-in-advertising-tracking/.
Stieglitz, Stefan, and Linh Dang-Xuan. 2013. “Emotions and information diffusion in social media —Sentiment of microblogs and sharing behavior.” Journal of Management Information Systems 29 (4): 217–248. https://doi.org/10.2753/mis0742-1222290408.
TechRepublic. “Why is Android More Popular Globally While IOS Rules the US.” TechRepublic. Accessed December 1, 2021. https://www.techrepublic.com/article/why-is-android-more-popular-globally-while-ios-rules-the-us/.
Vargo, Chris J., Ekaterina Basilaia, & Donald Lewis Shaw. 2015. “Event versus issue: Twitter reflections of major news, a case study.” Communication and Information Technologies Annual, 215–239. https://doi.org/10.1108/s2050-206020150000009009.
Witteman, Holly O, Brian J Zikmund-Fisher. 2012. “The defining characteristics of Web 2.0 and their potential influence in the online vaccination debate.” Vaccine 30 (25): 3734-3740. https://doi.org/10.1016/j.vaccine.2011.12.039.
Yamada, Kosuke, Ryohei Sasano, and Koichi Takeda. 2019. “Incorporating Textual Information on User Behavior for Personality Prediction”. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 177–182, Florence, Italy: Association for Computational Linguistics. https://doi.org/10.18653/v1/P19-2024.
Youyou, Wu, Michal Kosinski, and David Stillwell. 2015. “Computer-based personality judgments are more accurate than those made by humans.” Proceedings of the National Academy of Sciences 112 (4): 1036-1040. https://doi.org/10.1073/pnas.1418680112.
Zollo, Fabiana. 2019. “Dealing with digital misinformation: A polarised context of narratives and tribes.” EFSA Journal 17, no. S1: e170720. http://dx.doi.org/10.2903/j.efsa.2019.e170720.
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