Supporting High-Stakes Investigations with Expert-Led Crowdsourcing

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dc.contributor.authorVenkatagiri, Sukrit
dc.date.accessioned2023-03-17T22:49:04Z
dc.date.available2023-03-17T22:49:04Z
dc.date.issued2023
dc.description.abstractMy dissertation introduces the concept of expert-led crowdsourcing (ELC) to support expert investigators who increasingly face limits on their time and attention. ELC combines experts’ domain knowledge and experience with the speed and scale of crowds. I study ELC in two investigative domains: journalism and law enforcement. Through four studies, I show: 1) how novice crowds can effectively augment expert investigators’ work practice; 2) the ethical tensions in conducting an ELC investigation for real-world, sensitive investigations; 3) how capture-the-flag competitions increase inter-team collaboration in ELC investigations; and 4) how different teamwork structures affect intra-team collaboration in ELC investigations.en
dc.identifier.doi10.1145/3565967.3571764
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/4635
dc.language.isoen
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofCompanion Proceedings of the 2023 ACM International Conference on Supporting Group Work
dc.subjectinvestigations
dc.subjectjournalism
dc.subjectexperts
dc.subjectcrowdsourcing
dc.subjectmisinformation
dc.titleSupporting High-Stakes Investigations with Expert-Led Crowdsourcingen
dc.typeText/Conference Paper
gi.citation.startPage79–81
gi.conference.locationHilton Head, SC, USA

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