Supporting High-Stakes Investigations with Expert-Led Crowdsourcing
dc.contributor.author | Venkatagiri, Sukrit | en |
dc.date.accessioned | 2023-02-22T18:38:55Z | en |
dc.date.available | 2023-02-22T18:38:55Z | en |
dc.date.issued | 2023-01-08 | en |
dc.date.updated | 2023-01-23T15:14:18Z | en |
dc.description.abstract | My 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.description.version | Published version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.1145/3565967.3571764 | en |
dc.identifier.uri | http://hdl.handle.net/10919/113906 | en |
dc.language.iso | en | en |
dc.publisher | ACM | en |
dc.rights | In Copyright | en |
dc.rights.holder | The author(s) | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.title | Supporting High-Stakes Investigations with Expert-Led Crowdsourcing | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |