A Longitudinal Analysis of YouTube's Promotion of Conspiracy Videos
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Abstract (arXiv)
Conspiracy theories have flourished on social media, raising concerns that such content is fueling the spread of disinformation, supporting extremist ideologies, and in some cases, leading to violence. Under increased scrutiny and pressure from legislators and the public, YouTube announced efforts to change their recommendation algorithms so that the most egregious conspiracy videos are demoted and demonetized. To verify this claim, we have developed a classifier for automatically determining if a video is conspiratorial (e.g., the moon landing was faked, the pyramids of Giza were built by aliens, end of the world prophecies, etc.). We coupled this classifier with an emulation of YouTube's watch-next algorithm on more than a thousand popular informational channels to obtain a year-long picture of the videos actively promoted by YouTube. We also obtained trends of the so-called filter-bubble effect for conspiracy theories.
Key facts. Cited by 9 papers in the map (data through 13 Oct 2026). First posted on arXiv 6 Mar 2020.
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Citing papers per year: 2021: 3; 2022: 1; 2023: 0; 2024: 2; 2025: 3.
9 papers.
- 2021Problematic Machine Behavior: A Systematic Literature Review of Algorithm Auditscited by 21
- 2021Reason Against the Machine: Future Directions for Mass Online Deliberationcited by 12
- 2021Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachabilitycited by 8
- 2022In the Eye of the Beholder: Robust Prediction with Causal User Modelingcited by 5
- 2024System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processescited 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
- 2025Uncovering Conspiratorial Narratives within Arabic Online Contentcited by 0
- 2025Evaluating AI capabilities in detecting conspiracy theories on YouTubecited by 0
- 2025Datasets for Navigating Sensitive Topics in Recommendation Systems8 Sep 2025
- 2025Evaluating AI capabilities in detecting conspiracy theories on YouTube29 May 2025
- 2025Uncovering Conspiratorial Narratives within Arabic Online Content18 Apr 2025
- 2024Algorithmic Behaviors Across Regions: A Geolocation Audit of YouTube Search for COVID-19 Misinformation Between the United States and South Africa16 Sep 2024
- 2024System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes29 May 2024
- 2022In the Eye of the Beholder: Robust Prediction with Causal User Modeling1 Jun 2022
- 2021Reason Against the Machine: Future Directions for Mass Online Deliberation27 Jul 2021
- 2021Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability30 Jun 2021
- 2021Problematic Machine Behavior: A Systematic Literature Review of Algorithm Audits3 Feb 2021