Crowdsourced audit of Twitter's recommender systems.
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ABSTRACT:
SUBMITTER: Bouchaud P
PROVIDER: S-EPMC10556069 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature
Publications
Crowdsourced audit of Twitter's recommender systems.
Bouchaud Paul P Chavalarias David D Panahi Maziyar M
Scientific reports 20231005 1
This research conducts an audit of Twitter's recommender system, aiming to examine the disparities between users' curated timelines and their subscription choices. Through the combined use of a browser extension and data collection via the Twitter API, our investigation reveals a high amplification of friends from the same community, a preference for amplifying emotionally charged and toxic tweets and an uneven algorithmic amplification across friends' political leaning. This audit emphasizes th ...[more]
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