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2024 ABD BAŞKANLIK SEÇİMLERİNDE YAPAY ZEKÂ ODAKLI İÇERİKLER, AKILLI TEKNOLOJİLER VE DEZENFORMASYONUN ROLÜ

Year 2025, Volume: 6 Issue: 1, 177 - 202, 20.02.2025

Abstract

Bu çalışma, akıllı teknolojilerin ve algoritmaların seçmen davranışları üzerindeki etkisini, 2024 Amerika Birleşik Devletleri (ABD) başkanlık seçimlerindeki rollerine odaklanarak incelemektedir. Algoritmalar, kullanıcı tercihlerini temel alarak içerik sunmakta, bu da yankı odaları yaratarak bölünmeleri derinleştirmekte ve kutuplaşmayı artırmaktadır. Derin sahte (deepfake) teknolojisi ve mikro hedefleme stratejileri gibi gelişmiş yapay zekâ araçları, yanıltıcı bilgileri yayarak seçmen algılarını manipüle etmekte ve önemli etik ve demokratik sorunlar oluşturmaktadır. Bulgular, dijital dezenformasyonun etkisini azaltmak ve demokratik süreçlerin bütünlüğünü korumak için dijital okuryazarlığının geliştirilmesi ve daha güçlü düzenlemelerin uygulanması gerektiğini ortaya koymaktadır. Bu araştırma, seçimler üzerindeki dijital etkinin karmaşıklıklarına çözüm bulmak için bireysel farkındalık ve platformların hesap verebilirliğinin önemini vurgulamaktadır.

References

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  • • Arısoy Gedik, Cansu (2023), “Yapılaşma Teorisi Çerçevesinden Kullanıcıların Kişisel İzleri için Şeffaf Bir Dijital Ağ Modeli Önerisi”, MEDIAJ, Vol. 6, no: 1, pp. 19-40.
  • • Arısoy Gedik, Cansu, & Ceyhan, A. İlkay (2024), “The Gender Gap in the Digital Era: Reaching Algorithmic Fairness and Technological Inclusivity in Network Society”, Communication Papers. Media Literacy and Gender Studies, Vol. 13, no: 26, pp. 64-75.
  • • Bakshy, Eytan & Messing, Solomon & Adamic, Lada A. (2015), “Exposure to Ideologically Diverse News and Opinion on Facebook”, Science, Vol. 348, no: 6239, pp. 1130-1132.
  • • Baldwin-Philippi, Jessica (2019), “Data campaigning: between empirics and assumptions”, Internet Policy Review, Vol. 8, no: 4.
  • • Benkler, Yochai & Faris, Robert & Roberts, Hal (2018), Network Propaganda: Manipulation, Disinformation, and Radicalization in American Politics, New York: Oxford University Press.
  • • Bond, Shannon (2024), “How AI-generated memes are changing the 2024 election”, NPR News, 30.08.2024, Date of Accession: 12.12.2024 from https://www.npr.org/2024/08/30/nx-s1-5087913/donald-trump-artificial-intelligence-memes-deepfakes-taylor-swift.
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  • • Cadwalladr, Carole & Graham-Harrison, Emma (2018), “Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach”, The Guardian, 17.03.2018, Date of Accession: 10.12.2024 from https://www.theguardian.com/news/2018/mar/17/cambridge-analytica-facebook-influence-us-election.
  • • Chesney, Robert & Citron, Danielle (2019), “Deepfakes and the New Disinformation War: The Coming Age of Post-Truth Geopolitics”, Foreign Affairs, Vol. 98, no: 1, pp. 147-155.
  • • Desmarais, Anna (2024), “AI chatbots intentionally spreading election-related disinformation, study finds”, Euronews, 08.06.2024, Date of Accession: 05.12.2024 from https://www.euronews.com/next/2024/06/08/ai-chatbots-intentionally-spreading-election-related-disinformation-study-finds.
  • • Farid, Hany (2024), “Deepfakes in the 2024 US Presidential Election”, Date of Accession: 05.12.2024 from https://farid.berkeley.edu/deepfakes2024election/.
  • • Ferrara, Emilio & Varol, Onur & Davis, Clayton & Menczer, Filippo & Flammini, Alessandro (2016), “The Rise of Social Bots”, Communications of the ACM, Vol. 59, no: 7, pp. 96-104.
  • • Flynn, D.J. & Nyhan, Brendan & Reifler, Jason (2017), “The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs About Politics”, Political Psychology, Vol. 38 (S1), pp. 127-150.
  • • Gattuso, Peter (2024), “Viral Images of Girl and Puppy in Hurricane Recovery Are AI-Generated”, AOL, 05.10.2024, Date of Accession: 05.12.2024 from https://www.aol.com/news/viral-images-girl-puppy-hurricane-211902608.html.
  • • Gillespie, Tarleton (2018), Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media, Yale University Press.
  • • Goujard, Clothilde (2024), “AI chatbots spread falsehoods about the EU election, report finds”, Politico, 11.04.2024, Date of Accession: 12.12.2024 from https://www.politico.eu/article/ai-chatbots-spread-falsehoods-about-the-eu-elections-report-finds/.
  • • Hall Jamieson, Kathleen (2020), Cyberwar: How Russian Hackers and Trolls Helped Elect a President, Oxford University Press.
  • • Hudnall, Hannah (2024), “Image of Donald Trump wading through flood water is AI-generated | Fact check”, USA Today, 03.10.2024, Date of Accession: 05.12.2024 from https://www.usatoday.com/story/news/factcheck/2024/10/03/ai-image-trump-hurricane-helene-fact-check/75483588007/.
  • • Kreiss, Daniel (2017), “Micro-targeting, the quantified persuasion”, Internet Policy Review, Vol. 6, no: 4.
  • • Lindsay, James M. (2024), “Election 2024: The Deepfake Threat to the 2024 Election”, Council on Foreign Relations, 02.02.2024, Date of Accession: 05.12.2024 from https://www.cfr.org/blog/election-2024-deepfake-threat-2024-election.
  • • Mccarty, Nolan & Poole, Keith T. & Rosenthal, Howard (2008), Polarized America: The Dance of Ideology and Unequal Riches, MIT Press.
  • • New Hampshire Department of Justice (2024), “Voter Suppression AI Robocall Investigation Update”, 06.02.2024, Date of Accession: 11.12.2024 from https://www.doj.nh.gov/news-and-media/voter-suppression-ai-robocall-investigation-update.
  • • Pariser, Eli (2011), The Filter Bubble: What the Internet is Hiding from You, New York: Penguin Press.
  • • Pasquale, Frank (2020), New Laws of Robotics: Defending Human Expertise in the Age of AI, Belknap Press.
  • • Persily, Nathaniel & Tucker, Joshua A. (2020), Social Media and Democracy: The State of the Field, Prospects for Reform, Cambridge University Press.
  • • Spring, Marianna (2024), “Trump supporters target black voters with faked AI images”, BBC News, 04.03.2024, Date of Accession: 12.12.2024 from https://www.bbc.com/news/world-us-canada-68440150.
  • • Stroud, Natalie Jomini (2011), Niche News: The Politics of News Choice, Oxford University Press.
  • • Swenson, Ali & Weissert, Will (2024), “New Hampshire investigating fake Biden robocall meant to discourage voters ahead of primary”, AP, 23.01.2024, Date of Accession: 11.12.2024 from https://apnews.com/article/new-hampshire-primary-biden-ai-deepfake-robocall-f3469ceb6dd613079092287994663db5.
  • • Tucker, Joshua A. & Guess, Andrew & Barbera, Pablo & Vaccari, Cristian & Siegel, Alexandra & Sanovich, Sergey & Stukal, Denis & Nyhan, Brendan (2018), “Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature”, Political Science Research & Methods, Vol. 36, no: 2, pp. 1-22.
  • • Voice of America (2024), “‘Deepfake’ of Biden’s Voice Called Early Example of US Election Disinformation”, 24.01.2024, Date of Accession: 05.12.2024 from https://learningenglish.voanews.com/a/deepfake-of-biden-s-voice-called-early-example-of-us-election-disinformation/7455392.html.
  • • Wardle, Claire & Derakhshan, Hossein (2017), “Information Disorder: Toward an Interdisciplinary Framework for Research and Policy Making”, Council of Europe Report, Date of Accession: 12.12.2024 from https://edoc.coe.int/en/media/7495-information-disorder-toward-an-interdisciplinary-framework-for-research-and-policy-making.html.

THE ROLE OF AI-DRIVEN CONTENT, SMART TECHNOLOGIES, AND DISINFORMATION IN THE 2024 U.S. PRESIDENTIAL ELECTIONS

Year 2025, Volume: 6 Issue: 1, 177 - 202, 20.02.2025

Abstract

This study examines the influence of smart technologies and algorithms on voter behavior, with a particular focus on their role in the 2024 United States (U.S.) presidential elections. By curating content based on user preferences, algorithms create echo chambers that deepen divisions and increase polarization. Advanced AI tools, such as deepfake technology and micro-targeting strategies, further manipulate voter perceptions by spreading misleading information, posing significant ethical and democratic challenges. The findings highlight the need for improved digital literacy and stronger regulations to reduce the impact of digital disinformation and protect the integrity of democratic processes. This research underscores the dual importance of individual awareness and platform accountability in addressing the complexities of digital influence on elections.

References

  • • Allcott, Hunt & Gentzkow, Matthew (2017), “Social Media and Fake News in the 2016 Election”, Journal of Economic Perspectives, Vol. 31, no: 2, pp. 211-236.
  • • Arısoy Gedik, Cansu (2023), “Yapılaşma Teorisi Çerçevesinden Kullanıcıların Kişisel İzleri için Şeffaf Bir Dijital Ağ Modeli Önerisi”, MEDIAJ, Vol. 6, no: 1, pp. 19-40.
  • • Arısoy Gedik, Cansu, & Ceyhan, A. İlkay (2024), “The Gender Gap in the Digital Era: Reaching Algorithmic Fairness and Technological Inclusivity in Network Society”, Communication Papers. Media Literacy and Gender Studies, Vol. 13, no: 26, pp. 64-75.
  • • Bakshy, Eytan & Messing, Solomon & Adamic, Lada A. (2015), “Exposure to Ideologically Diverse News and Opinion on Facebook”, Science, Vol. 348, no: 6239, pp. 1130-1132.
  • • Baldwin-Philippi, Jessica (2019), “Data campaigning: between empirics and assumptions”, Internet Policy Review, Vol. 8, no: 4.
  • • Benkler, Yochai & Faris, Robert & Roberts, Hal (2018), Network Propaganda: Manipulation, Disinformation, and Radicalization in American Politics, New York: Oxford University Press.
  • • Bond, Shannon (2024), “How AI-generated memes are changing the 2024 election”, NPR News, 30.08.2024, Date of Accession: 12.12.2024 from https://www.npr.org/2024/08/30/nx-s1-5087913/donald-trump-artificial-intelligence-memes-deepfakes-taylor-swift.
  • • Bulger, Monica & Davison, Patrick (2018), “The Promises, Challenges, and Futures of Media Literacy”, Journal of Media Literacy Education, Vol. 10, no: 1, pp. 1-21.
  • • Cadwalladr, Carole & Graham-Harrison, Emma (2018), “Revealed: 50 million Facebook profiles harvested for Cambridge Analytica in major data breach”, The Guardian, 17.03.2018, Date of Accession: 10.12.2024 from https://www.theguardian.com/news/2018/mar/17/cambridge-analytica-facebook-influence-us-election.
  • • Chesney, Robert & Citron, Danielle (2019), “Deepfakes and the New Disinformation War: The Coming Age of Post-Truth Geopolitics”, Foreign Affairs, Vol. 98, no: 1, pp. 147-155.
  • • Desmarais, Anna (2024), “AI chatbots intentionally spreading election-related disinformation, study finds”, Euronews, 08.06.2024, Date of Accession: 05.12.2024 from https://www.euronews.com/next/2024/06/08/ai-chatbots-intentionally-spreading-election-related-disinformation-study-finds.
  • • Farid, Hany (2024), “Deepfakes in the 2024 US Presidential Election”, Date of Accession: 05.12.2024 from https://farid.berkeley.edu/deepfakes2024election/.
  • • Ferrara, Emilio & Varol, Onur & Davis, Clayton & Menczer, Filippo & Flammini, Alessandro (2016), “The Rise of Social Bots”, Communications of the ACM, Vol. 59, no: 7, pp. 96-104.
  • • Flynn, D.J. & Nyhan, Brendan & Reifler, Jason (2017), “The Nature and Origins of Misperceptions: Understanding False and Unsupported Beliefs About Politics”, Political Psychology, Vol. 38 (S1), pp. 127-150.
  • • Gattuso, Peter (2024), “Viral Images of Girl and Puppy in Hurricane Recovery Are AI-Generated”, AOL, 05.10.2024, Date of Accession: 05.12.2024 from https://www.aol.com/news/viral-images-girl-puppy-hurricane-211902608.html.
  • • Gillespie, Tarleton (2018), Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions That Shape Social Media, Yale University Press.
  • • Goujard, Clothilde (2024), “AI chatbots spread falsehoods about the EU election, report finds”, Politico, 11.04.2024, Date of Accession: 12.12.2024 from https://www.politico.eu/article/ai-chatbots-spread-falsehoods-about-the-eu-elections-report-finds/.
  • • Hall Jamieson, Kathleen (2020), Cyberwar: How Russian Hackers and Trolls Helped Elect a President, Oxford University Press.
  • • Hudnall, Hannah (2024), “Image of Donald Trump wading through flood water is AI-generated | Fact check”, USA Today, 03.10.2024, Date of Accession: 05.12.2024 from https://www.usatoday.com/story/news/factcheck/2024/10/03/ai-image-trump-hurricane-helene-fact-check/75483588007/.
  • • Kreiss, Daniel (2017), “Micro-targeting, the quantified persuasion”, Internet Policy Review, Vol. 6, no: 4.
  • • Lindsay, James M. (2024), “Election 2024: The Deepfake Threat to the 2024 Election”, Council on Foreign Relations, 02.02.2024, Date of Accession: 05.12.2024 from https://www.cfr.org/blog/election-2024-deepfake-threat-2024-election.
  • • Mccarty, Nolan & Poole, Keith T. & Rosenthal, Howard (2008), Polarized America: The Dance of Ideology and Unequal Riches, MIT Press.
  • • New Hampshire Department of Justice (2024), “Voter Suppression AI Robocall Investigation Update”, 06.02.2024, Date of Accession: 11.12.2024 from https://www.doj.nh.gov/news-and-media/voter-suppression-ai-robocall-investigation-update.
  • • Pariser, Eli (2011), The Filter Bubble: What the Internet is Hiding from You, New York: Penguin Press.
  • • Pasquale, Frank (2020), New Laws of Robotics: Defending Human Expertise in the Age of AI, Belknap Press.
  • • Persily, Nathaniel & Tucker, Joshua A. (2020), Social Media and Democracy: The State of the Field, Prospects for Reform, Cambridge University Press.
  • • Spring, Marianna (2024), “Trump supporters target black voters with faked AI images”, BBC News, 04.03.2024, Date of Accession: 12.12.2024 from https://www.bbc.com/news/world-us-canada-68440150.
  • • Stroud, Natalie Jomini (2011), Niche News: The Politics of News Choice, Oxford University Press.
  • • Swenson, Ali & Weissert, Will (2024), “New Hampshire investigating fake Biden robocall meant to discourage voters ahead of primary”, AP, 23.01.2024, Date of Accession: 11.12.2024 from https://apnews.com/article/new-hampshire-primary-biden-ai-deepfake-robocall-f3469ceb6dd613079092287994663db5.
  • • Tucker, Joshua A. & Guess, Andrew & Barbera, Pablo & Vaccari, Cristian & Siegel, Alexandra & Sanovich, Sergey & Stukal, Denis & Nyhan, Brendan (2018), “Social Media, Political Polarization, and Political Disinformation: A Review of the Scientific Literature”, Political Science Research & Methods, Vol. 36, no: 2, pp. 1-22.
  • • Voice of America (2024), “‘Deepfake’ of Biden’s Voice Called Early Example of US Election Disinformation”, 24.01.2024, Date of Accession: 05.12.2024 from https://learningenglish.voanews.com/a/deepfake-of-biden-s-voice-called-early-example-of-us-election-disinformation/7455392.html.
  • • Wardle, Claire & Derakhshan, Hossein (2017), “Information Disorder: Toward an Interdisciplinary Framework for Research and Policy Making”, Council of Europe Report, Date of Accession: 12.12.2024 from https://edoc.coe.int/en/media/7495-information-disorder-toward-an-interdisciplinary-framework-for-research-and-policy-making.html.
There are 32 citations in total.

Details

Primary Language English
Subjects Political Science (Other)
Journal Section Research Articles
Authors

Cansu Arısoy Gedik This is me

Publication Date February 20, 2025
Submission Date January 10, 2025
Acceptance Date January 24, 2025
Published in Issue Year 2025 Volume: 6 Issue: 1

Cite

Chicago Arısoy Gedik, Cansu. “THE ROLE OF AI-DRIVEN CONTENT, SMART TECHNOLOGIES, AND DISINFORMATION IN THE 2024 U.S. PRESIDENTIAL ELECTIONS”. UPA Strategic Affairs 6, no. 1 (February 2025): 177-202.