Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
versions View all 3 versions
addClaim

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

Authors: Arısoy Gedik, Cansu;

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

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.

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.

Country
Turkey
Related Organizations
Keywords

Deepfake, Artificial intelligence, Smart technologies, Algorithms, 2024 U.S. Presidential election

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
Related to Research communities