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The Philippines: Disinformation and Democracy.

  • Published In: Southeast Asian Affairs, 2024. P. 246 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Chua, Yvonne T. 3 of 3

Abstract

The article explores the issue of disinformation in the Philippines and its impact on democracy. It discusses how disinformation has been used by the government and politicians to manipulate public opinion and consolidate power. Specific instances, such as the use of disinformation during elections and the role of social media, are highlighted. The article emphasizes the need for research and understanding of political disinformation, particularly during elections, and the diversification of disinformation actors. It also discusses the erosion of traditional media's gatekeeping role and the perpetuation of historical distortions. The text further discusses the prevalence of disinformation in the Philippines, including red-tagging and China's attempts to influence Philippine politics. It mentions the decline in trust in democratic institutions and the rise in polarization due to disinformation. Efforts to combat disinformation include media literacy programs, fact-checking, and legal action against those spreading false information. The article also provides an overview of actions taken against SMNI, a media organization, due to alleged violations of terms of service and peddling of false news. SMNI's operations were suspended for thirty days, and the organization has sought legal recourse to challenge the suspension. [Extracted from the article]

Additional Information

  • Source:Southeast Asian Affairs. 2024/01, p246
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2024
  • ISSN:0377-5437
  • Accession Number:179592934
  • Copyright Statement:Copyright of Southeast Asian Affairs is the property of ISEAS- Yusof Ishak Institute 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.)

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