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Recent studies found that hyperpartisan bots are unlikely to influence public opinion because bots often interact with already highly polarized users. However, previous studies focused on direct human-bot interactions (e.g., retweets, at-mentions, and likes). The present study suggests that political bots, zealots, and trolls may indirectly affect people\u2019s views via a platform\u2019s content recommendation system's mediating role, thus influencing opinions without direct human-bot interaction. Using an agent-based opinion dynamics simulation, we isolated the effect of a single bot\u2014representing 1% of nodes in a network\u2014on the opinion of rational Bayesian agents when a simple recommendation system mediates the agents\u2019 content consumption. We compare this experimental condition with an identical baseline condition where such a bot is absent. Across conditions, we use the same random seed and a psychologically realistic Bayesian opinion update rule so that conditions remain identical except for the bot presence. Results show that, even with limited direct interactions, the mere presence of the bot is sufficient to shift the average population\u2019s opinion. Virtually all nodes\u2014not only nodes directly interacting with the bot\u2014shifted towards more extreme opinions. Furthermore, the mere bot\u2019s presence significantly affected the internal representation of the recommender system. Overall, these findings offer a proof of concept that bots and hyperpartisan accounts can influence population opinions not only by directly interacting with humans but also by secondary effects, such as shifting platforms\u2019 recommendation engines\u2019 internal representations. The mediating role of recommender systems creates indirect causal pathways of algorithmic opinion manipulation.<\/jats:p>","DOI":"10.1007\/s41109-022-00488-6","type":"journal-article","created":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T09:02:58Z","timestamp":1657098178000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Bots influence opinion dynamics without direct human-bot interaction: the mediating role of recommender systems"],"prefix":"10.1007","volume":"7","author":[{"given":"N.","family":"Pescetelli","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"D.","family":"Barkoczi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Cebrian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,6]]},"reference":[{"issue":"1","key":"488_CR1","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1007\/s13278-022-00858-z","volume":"12","author":"A Aldayel","year":"2022","unstructured":"Aldayel A, Magdy W (2022) Characterizing the role of bots in polarized stance on social media. 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