DEEP, FAKE ELECTION.

  • Published In: Foreign Policy, 2024, n. 251. P. 55 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: IYENGAR, RISHI 3 of 3

Abstract

This article examines the potential risks and challenges associated with depleted tech platforms, AI-enabled misinformation, and upcoming national elections in over 50 countries in 2024. It raises concerns about the lack of preparation and resources by major social media platforms, such as Twitter (now called X) and Meta (owner of Facebook, Instagram, and WhatsApp), to combat harmful content and disinformation. The article also discusses the increasing role of artificial intelligence (AI) in generating deepfakes and tailored disinformation, which could have significant implications for the spread of misinformation during elections. Efforts are being made to establish guardrails and regulatory frameworks for AI, but their effectiveness and timeliness remain uncertain. The article also explores the influence of foreign actors, particularly China, in conducting information warfare and interfering in elections. The upcoming election in Taiwan is highlighted as a significant event where disinformation campaigns are expected to occur. Overall, the article emphasizes the importance of addressing election misinformation to protect democracy and maintain trust in the electoral process. [Extracted from the article]

Additional Information

  • Source:Foreign Policy. 2024/01, Issue 251, p55
  • Document Type:Article
  • Subject Area:Communication and Mass Media
  • Publication Date:2024
  • ISSN:0015-7228
  • Accession Number:174672111
  • Copyright Statement:Copyright of Foreign Policy is the property of Foreign Policy and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.