Compete, Collaborate, Investigate: Exploring the Social Structures of Open Source Intelligence Investigations

要旨

Online investigations are increasingly conducted by individuals with diverse skill levels and experiences, with mixed results. Novice investigations often result in vigilantism or doxxing, while expert investigations have greater success rates and fewer mishaps. Many of these experts are involved in a community of practice known as Open Source Intelligence (OSINT), with an ethos and set of techniques for conducting investigations using only publicly available data. Through semi-structured interviews with 14 expert OSINT investigators from nine different organizations, we examine the social dynamics of this community, including the collaboration and competition patterns that underlie their investigations. We also describe investigators’ use of and challenges with existing OSINT tools, and implications for the design of social computing systems to better support crowdsourced investigations.

著者
Yasmine Belghith
Georgia Institute of Technology, Atlanta, Georgia, United States
Sukrit Venkatagiri
Virginia Tech, Arlington, Virginia, United States
Kurt Luther
Virginia Tech, Arlington, Virginia, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517526

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Crowdwork & Collaboration

283–285
5 件の発表
2022-05-03 23:15:00
2022-05-04 00:30:00