Behavioral changes associated with interacting with bots on Twitter

dc.contributor.authorBabutsitdze, Zakaria
dc.contributor.authorVincileoni, Dorian
dc.date.accessioned2021-12-24T17:45:28Z
dc.date.available2021-12-24T17:45:28Z
dc.date.issued2022-01-04
dc.description.abstractWe study changes in Twitter users' behavior associated with interacting with automated bots on the platform. Based on the list of malicious bots identified and shut down by Twitter in the wake of 2016 US presidential election, we are able to identify about 54 thousand human Twitter users who have interacted with automated accounts. We first establish the baseline pattern of user behavior in the period before interaction and then measure behavioral changes observed around the period of interaction. Using a quasi-experimental research design, we document economically and statistically significant quantitative and qualitative changes in users' behavior and discuss their implications.
dc.format.extent8 pages
dc.identifier.doi10.24251/HICSS.2022.371
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79705
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDecision Making in Online Social Networks
dc.subjectbehavior
dc.subjectbots
dc.subjectdecision making
dc.subjecttwitter
dc.titleBehavioral changes associated with interacting with bots on Twitter
dc.type.dcmitext

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