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Cited by 144

Finding and assessing social media information sources in the context of journalism

Diakopoulos, Nicholas, De Choudhury, Munmun, Naaman, Mor·2012·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
DOI 10.1145/2207676.2208409
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Abstract

Social media is already a fixture for reporting for many journalists, especially around breaking news events where non-professionals may already be on the scene to share an eyewitness report, photo, or video of the event. At the same time, the huge amount of content posted in conjunction with such events serves as a challenge to finding interesting and trustworthy sources in the din of the stream. In this paper we develop and investigate new methods for filtering and assessing the verity of sources found through social media by journalists. We take a human centered design approach to developing a system, SRSR ("Seriously Rapid Source Review"), informed by journalistic practices and knowledge of information production in events. We then used the system, together with a realistic reporting scenario, to evaluate the filtering and visual cue features that we developed. Our evaluation offers insights into social media information sourcing practices and challenges, and highlights the role technology can play in the solution.

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Crossref · 10.1145/2207676.2208409

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  • Social media has become a powerful tool for journalists and ordinary citizens.

    “Hence, social media has become a powerful tool for journalists (Diakopoulos et al. 2012;Tolmie et al. 2017) but also for ordinary citizens (Hermida 2010).”

    From Detection and Resolution of Rumours in Social Media (2019) · cites this paper as Diakopoulos et al. 2012

  • Social media gives access to eyewitness updates and to many users who may hold exclusive information.

    “This enables, among others, access to updates from eyewitnesses and a broad range of users who have access to potentially exclusive information (Diakopoulos et al. 2012;Starbird et al. 2012).”

    From Detection and Resolution of Rumours in Social Media (2019) · cites this paper as Diakopoulos et al. 2012

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Authors
Diakopoulos, N., De Choudhury, M., & Naaman, M.
Affiliations
  • Rutgers University, New Brunsick, New Jersey, United States
  • Rutgers University & Microsoft Research, New Brunsick, New Jersey, United States
  • Rutgers University, New Brunswick, New Jersey, United States
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2012-05-05
Pages
2451-2460
DOI
10.1145/2207676.2208409
Cited by
144
References
0
Licence
www.acm.org/publications/policies/copyright_policy#Background (vor)

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