YouNICon: YouTube's CommuNIty of Conspiracy Videos
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Abstract (arXiv)
Conspiracy theories are widely propagated on social media. Among various social media services, YouTube is one of the most influential sources of news and entertainment. This paper seeks to develop a dataset, YOUNICON, to enable researchers to perform conspiracy theory detection as well as classification of videos with conspiracy theories into different topics. YOUNICON is a dataset with a large collection of videos from suspicious channels that were identified to contain conspiracy theories in a previous study (Ledwich and Zaitsev 2020). Overall, YOUNICON will enable researchers to study trends in conspiracy theories and understand how individuals can interact with the conspiracy theory producing community or channel. Our data is available at: https://doi.org/10.5281/zenodo.7466262.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2023.
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Citing papers per year: 2024: 5; 2025: 3; 2026: 5.
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- 2024ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?cited by 17
- 2024Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotatorscited by 7
- 2024DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Modelcited by 2
- 2024Assessing the Impact of Conspiracy Theories Using Large Language Modelscited by 2
- 2025Datasets for Navigating Sensitive Topics in Recommendation Systemscited by 2
- 2024Algorithmic Behaviors Across Regions: A Geolocation Audit of YouTube Search for COVID-19 Misinformation Between the United States and South Africacited by 1
- 2026Vulnerability of LLMs' Stated Beliefs? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventionscited by 1
- 2026Bye Bye Perspective API: Lessons for Building and Governing Measurement Infrastructurecited by 1
- 2025MetaHarm: Harmful YouTube Video Dataset Annotated by Domain Experts, GPT-4-Turbo, and Crowdworkerscited by 0
- 2025Evaluating AI capabilities in detecting conspiracy theories on YouTubecited by 0
- 2026AILS-NTUA at SemEval-2026 Task 10: Agentic LLMs for Psycholinguistic Marker Extraction and Conspiracy Endorsement Detectioncited by 0
- 2026Misinformation Span Detection in Videos via Audio Transcriptscited by 0
1 more
- 2026Agentic Detection of Online Conspiraciescited by 0
- 2026Agentic Detection of Online Conspiracies24 Sep 2026
- 2026Bye Bye Perspective API: Lessons for Building and Governing Measurement Infrastructure28 Apr 2026
- 2026Misinformation Span Detection in Videos via Audio Transcripts23 Apr 2026
- 2026AILS-NTUA at SemEval-2026 Task 10: Agentic LLMs for Psycholinguistic Marker Extraction and Conspiracy Endorsement Detection5 Mar 2026
- 2026Vulnerability of LLMs' Stated Beliefs? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventions20 Jan 2026
- 2025Datasets for Navigating Sensitive Topics in Recommendation Systems8 Sep 2025
- 2025Evaluating AI capabilities in detecting conspiracy theories on YouTube29 May 2025
- 2025MetaHarm: Harmful YouTube Video Dataset Annotated by Domain Experts, GPT-4-Turbo, and Crowdworkers22 Apr 2025
- 2024Assessing the Impact of Conspiracy Theories Using Large Language Models9 Dec 2024
- 2024Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators6 Nov 2024
- 2024Algorithmic Behaviors Across Regions: A Geolocation Audit of YouTube Search for COVID-19 Misinformation Between the United States and South Africa16 Sep 2024
- 2024ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?26 Mar 2024
- 2024ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?cited by 17
- 2024DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Modelcited by 2
- 2024Assessing the Impact of Conspiracy Theories Using Large Language Modelscited by 2
- 2025Datasets for Navigating Sensitive Topics in Recommendation Systemscited by 2
- 2024Algorithmic Behaviors Across Regions: A Geolocation Audit of YouTube Search for COVID-19 Misinformation Between the United States and South Africacited by 1
- 2026Vulnerability of LLMs' Stated Beliefs? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventionscited by 1
- 2026Bye Bye Perspective API: Lessons for Building and Governing Measurement Infrastructurecited by 1
- 2025MetaHarm: Harmful YouTube Video Dataset Annotated by Domain Experts, GPT-4-Turbo, and Crowdworkerscited by 0
- 2026Misinformation Span Detection in Videos via Audio Transcriptscited by 0
- 2026Agentic Detection of Online Conspiraciescited by 0
- 2026Agentic Detection of Online Conspiracies24 Sep 2026
- 2026Bye Bye Perspective API: Lessons for Building and Governing Measurement Infrastructure28 Apr 2026
- 2026Misinformation Span Detection in Videos via Audio Transcripts23 Apr 2026
- 2026Vulnerability of LLMs' Stated Beliefs? LLMs Belief Resistance Check Through Strategic Persuasive Conversation Interventions20 Jan 2026
- 2025Datasets for Navigating Sensitive Topics in Recommendation Systems8 Sep 2025
- 2025MetaHarm: Harmful YouTube Video Dataset Annotated by Domain Experts, GPT-4-Turbo, and Crowdworkers22 Apr 2025
- 2024Assessing the Impact of Conspiracy Theories Using Large Language Models9 Dec 2024
- 2024Algorithmic Behaviors Across Regions: A Geolocation Audit of YouTube Search for COVID-19 Misinformation Between the United States and South Africa16 Sep 2024
- 2024ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?26 Mar 2024
- 2024DIVERSE: A Dataset of YouTube Video Comment Stances with a Data Programming Model5 Mar 2024