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TweepFake: About detecting deepfake tweets
4 references·1 citing·19 second hop
TweepFake: About detecting deepfake tweets (2021)TweepFake: About detecting deepfake tweetsRelease Strategies and the Social Impacts of Language Models (2019)Release Strategies and the So…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case (2019)HISTORIAE, History of Socio-C…Defending Against Neural Fake News (2019)Defending Against Neural Fake…Unpacking the Social Media Bot: A Typology to Guide Research and Policy (2018)Unpacking the Social Media Bo…Emerging need to regulate deepfakes in international law: the Russo–Ukrainian war as an example (2025)Emerging need to regulate dee…"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection (2017)The agenda-setting power of fake news: A big data analysis of the online media landscape from 2014 to 2016 (2017)Truth of Varying Shades: Analyzing Language in Fake News and Political Fact-Checking (2017)Anticipating and Addressing the Ethical Implications of Deepfakes in the Context of Elections (2019)WELFake: Word Embedding Over Linguistic Features for Fake News Detection (2021)A Survey on Automated Fact-Checking (2022)Concept Misformation in Comparative Politics (1970)The spread of true and false news online (2018)Custodians of the Internet: Platforms, Content Moderation, and the Hidden Decisions that Shape Social Media (2019)A Confirmation Bias View on Social Media Induced Polarisation During Covid-19 (2021)Bots and Misinformation Spread on Social Media: Implications for COVID-19 (2021)Pandemics, Protests, and Publics (2021)The Filter Bubble: What the Internet Is Hiding from You (2011)Beyond misinformation: Understanding and coping with the “post-truth” era. (2017)LEGAL-BERT: The Muppets straight out of Law School (2020)On the Opportunities and Risks of Foundation Models (2021)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)The Fallacy of AI Functionality (2022)Should ChatGPT be biased? Challenges and risks of bias in large language models (2023)
this work references cited by second hop

References

  • 2019HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case16,511 cited
  • 2019Defending Against Neural Fake News569 cited
  • 2019Release Strategies and the Social Impacts of Language Models292 cited
  • 2018Unpacking the Social Media Bot: A Typology to Guide Research and Policy268 cited

Cited by

  • 2025Emerging need to regulate deepfakes in international law: the Russo–Ukrainian war as an example11 cited

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