ArticleInternet policy review2022
Systematic review: YouTube recommendations and problematic content.
Article in Internet policy review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed.
- A Timely Exploratory Study of Young Adults' Psychosexual Responses to the UK's New Age Verification Law on Online Pornography.Journal of youth and adolescence · 2026Article
- Reckoning with the ways in which the mechanistic worldview is embedded in chemicals management and how Indigenous Knowledge Systems might help account for the complexities of chemical risk.Environment and planning. E, Nature and space · 2026Article
- Consistency and Completeness of YouTube Condom Use Instructions Compared to Health Organisation Guidelines.Cureus · 2025Article
- How hatred of abortion providers is propagated in social media: an investigation of YouTube videos.Sexual and reproductive health matters · 2025Article
- Algorithmic personalization of information can cause inaccurate generalization and overconfidence.Journal of experimental psychology. General · 2025Article
- Generative artificial intelligence-mediated confirmation bias in health information seeking.Annals of the New York Academy of Sciences · 2025Review
- Business models and organizational roles of data spaces: A framework for value creation in data ecosystems.Data in brief · 2025Article
- Challenges in Understanding Human-Algorithm Entanglement During Online Information Consumption.Perspectives on psychological science : a journal of the Association for Psychological Science · 2024Article
- Assessment of the quality, content, and reliability of YouTube® videos on diabetes mellitus and polycystic ovary syndrome: a systematic review with cross-sectional analysis comparing peer-reviewed videos.Endocrine connections · 2024Article
- From temperament to YouTube: exploring the link between childhood temperament, YouTube usage patterns, and emotional/behavioral problems among children.BMC public health · 2024Article
- Beyond misinformation: developing a public health prevention framework for managing information ecosystems.The Lancet. Public health · 2024Review
- Between Technological Utopia and Dystopia: Online Expression of Compulsory Use of Surveillance Technology.Science and engineering ethics · 2024Article
- Algorithmic Content Recommendations on a Video-Sharing Platform Used by Children.JAMA network open · 2024Article
- Use of immunology in news and YouTube videos in the context of COVID-19: politicisation and information bubbles.Frontiers in public health · 2024Article
- India's Conception of Community Data and Addressing Concerns for Access to Justice.Digital society : ethics, socio-legal and governance of digital technology · 2024Article
- Exploring YouTube's Recommendation System in the Context of COVID-19 Vaccines: Computational and Comparative Analysis of Video Trajectories.Journal of medical Internet research · 2023Article
- Subscriptions and external links help drive resentful users to alternative and extremist YouTube channels.Science advances · 2023Article
- A content analysis of YouTube videos on tinnitus in South Korea.Scientific reports · 2023Review
- Article
- Using psychological science to understand and fight health misinformation: An APA consensus statement.The American psychologistReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
There has been much concern that social media, in particular YouTube, may facilitate radicalisation and polarisation of online audiences. This systematic review aimed to determine whether the YouTube recommender system facilitates pathways to problematic content such as extremist or radicalising material. The review conducted a narrative synthesis of the papers in this area. It assessed the eligibility of 1,187 studies and excluded studies using the PRISMA process for systematic reviews, leaving a final sample of 23 studies. Overall, 14 studies implicated the YouTube recommender system in facilitating problematic content pathways, seven produced mixed results, and two did not implicate the recommender system. The review's findings indicate that the YouTube recommender system could lead users to problematic content. However, due to limited access and an incomplete understanding of the YouTube recommender system, the models built by researchers might not reflect the actual mechanisms underlying the YouTube recommender system and pathways to problematic content.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.