YouTube Recommendations and Effects on Sharing Across Online Social Platforms

In January 2019, YouTube announced its platform would exclude potentially harmful content from video recommendations while allowing such videos to remain on the platform. While this action is intended to reduce YouTube's role in propagating such content, continued availability of these videos v...

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Veröffentlicht in:Proceedings of the ACM on human-computer interaction 2021-04, Vol.5 (CSCW1), p.1-26, Article 11
Hauptverfasser: Buntain, Cody, Bonneau, Richard, Nagler, Jonathan, Tucker, Joshua A.
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container_issue CSCW1
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container_title Proceedings of the ACM on human-computer interaction
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creator Buntain, Cody
Bonneau, Richard
Nagler, Jonathan
Tucker, Joshua A.
description In January 2019, YouTube announced its platform would exclude potentially harmful content from video recommendations while allowing such videos to remain on the platform. While this action is intended to reduce YouTube's role in propagating such content, continued availability of these videos via hyperlinks in other online spaces leaves an open question of whether such actions actually impact sharing of these videos in the broader information space. This question is particularly important as other online platforms deploy similar suppressive actions that stop short of deletion despite limited understanding of such actions' impacts. To assess this impact, we apply interrupted time series models to measure whether sharing of potentially harmful YouTube videos in Twitter and Reddit changed significantly in the eight months around YouTube's announcement. We evaluate video sharing across three curated sets of anti-social content: a set of conspiracy videos that have been shown to experience reduced recommendations in YouTube, a larger set of videos posted by conspiracy-oriented channels, and a set of videos posted by alternative influence network (AIN) channels. As a control, we also evaluate these effects on a dataset of videos from mainstream news channels. Results show conspiracy-labeled and AIN videos that have evidence of YouTube's de-recommendation do experience a significant decreasing trend in sharing on both Twitter and Reddit. At the same time, however, videos from conspiracy-oriented channels actually experience a significant increase in sharing on Reddit following YouTube's intervention, suggesting these actions may have unintended consequences in pushing less overtly harmful conspiratorial content. Mainstream news sharing likewise sees increases in trend on both platforms, suggesting YouTube's suppression of particular content types has a targeted effect. In summary, while this work finds evidence that reducing exposure to anti-social videos within YouTube potentially reduces sharing on other platforms, increases in the level of conspiracy-channel sharing raise concerns about how producers -- and consumers -- of harmful content are responding to YouTube's changes. Transparency from YouTube and other platforms implementing similar strategies is needed to evaluate these effects further.
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subjects Collaborative and social computing
Collaborative and social computing theory, concepts and paradigms
Computing / technology policy
Empirical studies in HCI
Human computer interaction (HCI)
Human-centered computing
Network types
Networks
Overlay and other logical network structures
Social and professional topics
Social media
Social media networks
title YouTube Recommendations and Effects on Sharing Across Online Social Platforms
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