Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/5519
Title: Defending Truth and Democracy in the Age of AI: A Framework for Empowering Voters Against Persuasion and Misinformation with AI Literacy
Authors: Arda, Zeynep
Başarır, Lale
Keywords: Artificial Intelligence
Intelligence Augmentation
Deepfakes
Critical Thinking
AI Literacy
Misinformation
Persuasive Communication
Publisher: ASOC DESARROLLO COMUNICACION
Abstract: Witnessing the rising impact of Artificial Intelligence (AI) in a post-truth envi-ronment, our senses' credibility wanes as the distinction between the real and the imagined becomes increasingly hazy. This study examines AI-generated content and deepfakes' effects on voters by analyzing their use in Turkish and American politics over the past decade. The ease and speed of creating fake news with AI necessitate constant verification, yet regulation is often lacking, heightening daily anxiety about reality. With the EU's imminent AI law, this article highlights the dangers of media advocacy (the strategic use of media to influence public opinion) and misinformation (spreading incorrect or misleading information). Through a meticulous literature review, press release analysis, and case studies, the study assesses their possible persuasive impact on voters, elections, and democracy. It identifies the associated risks and proposes a framework to empower voters using technology to reinforce truth filters, Intelligence Augmentation, and AI litera-cy. Two concepts that were developed side by side, but with different intentions, while AI aimed to create digital intelligence, Intelligence Augmentation focused instead on using technology to enhance the human capacity
URI: https://doi.org/10.6035/adcomunica.8020
https://hdl.handle.net/20.500.14365/5519
ISSN: 2174-0992
2254-2728
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Show full item record



CORE Recommender

Page view(s)

70
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.