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Combating misinformation in the age of LLMs: Opportunities and challenges
16 references·1 citing·47 second hop
Combating misinformation in the age of LLMs: Opportunities and challenges (2024)Combating misinformation in the age of LL…Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection (2024)Bad Actor, Good Advisor: Expl…Testing of detection tools for AI-generated text (2023)Testing of detection tools fo…ChatGPT and the rise of large language models: the new AI-driven infodemic threat in public health (2023)ChatGPT and the rise of large…Artificial Intelligence Can Generate Fraudulent but Authentic-Looking Scientific Medical Articles: Pandora’s Box Has Been Opened (2023)Artificial Intelligence Can G…TruthfulQA: Measuring How Models Mimic Human Falsehoods (2022)TruthfulQA: Measuring How Mod…Misinformation: susceptibility, spread, and interventions to immunize the public (2022)Misinformation: susceptibilit…FakeBERT: Fake news detection in social media with a BERT-based deep learning approach (2021)FakeBERT: Fake news detection…Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge (2021)Compare to The Knowledge: Gra…Searching for the backfire effect: Measurement and design considerations. (2020)Searching for the backfire ef…Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection (2019)Multi-modal Knowledge-aware E…dEFEND (2019)dEFENDBeyond News Contents (2019)Beyond News ContentsDeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning (2018)DeClarE: Debunking Fake News …Fake News Detection on Social Media (2017)Fake News Detection on Social…Detecting rumors from microblogs with recurrent neural networks (2016)Detecting rumors from microbl…The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)The Psychological Meaning of …A Review of TRiSM Frameworks in Artificial Intelligence Systems: Fundamentals, Taxonomy, Use Cases, Key Challenges and Future Directions (2026)A Review of TRiSM Frameworks …Conflict, arousal, and curiosity. (1960)Confronting a traumatic event: Toward an understanding of inhibition and disease. 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(1990)The spread of true and false news online (2018)Psychological Inoculation against Misinformation: Current Evidence and Future Directions (2022)A systematic review of communication interventions for countering vaccine misinformation (2023)Quantifying the impact of misinformation and vaccine-skeptical content on Facebook (2024)How to fight an infodemic (2020)The role of artificial intelligence in achieving the Sustainable Development Goals (2020)Current safeguards, risk mitigation, and transparency measures of large language models against the generation of health disinformation: repeated cross sectional analysis (2024)Impact of misinformation from generative AI on user information processing: How people understand misinformation from generative AI (2024)Mapping the Ethics of Generative AI: A Comprehensive Scoping Review (2024)Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers (2023)Academic publisher guidelines on AI usage: A ChatGPT supported thematic analysis (2024)Simple techniques to bypass GenAI text detectors: implications for inclusive education (2024)Quantifying large language model usage in scientific papers (2025)
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222 cited
  • 2019Multi-modal Knowledge-aware Event Memory Network for Social Media Rumor Detection214 cited
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    • 2026A Review of TRiSM Frameworks in Artificial Intelligence Systems: Fundamentals, Taxonomy, Use Cases, Key Challenges and Future Directions20 cited