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Journalistic Source Discovery: Supporting The Identification of News Sources in User Generated Content

Authors:

Nicholas DiakopoulosAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 447, Pages 1 - 18

https://doi.org/10.1145/3411764.3445266

Published: 07 May 2021 Publication History

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Abstract

Many journalists and newsrooms now incorporate audience contributions in their sourcing practices by leveraging user-generated content (UGC). However, their sourcing needs and practices as they seek information from UGCs are still not deeply understood by researchers or well-supported in tools. This paper first reports the results of a qualitative interview study with nine professional journalists about their UGC sourcing practices, detailing what journalists typically look for in UGCs and elaborating on two UGC sourcing approaches: deep reporting and wide reporting. These findings then inform a human-centered design approach to prototype a UGC sourcing tool for journalists, which enables journalists to interactively filter and rank UGCs based on users’ example content. We evaluate the prototype with nine professional journalists who source UGCs in their daily routines to understand how UGC sourcing practices are enabled and transformed, while also uncovering opportunities for future research and design to support journalistic sourcing practices and sensemaking processes.

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Nishal SSinchai JDiakopoulos N(2024)Understanding Practices around Computational News Discovery Tools in the Domain of Science JournalismProceedings of the ACM on Human-Computer Interaction10.1145/36374198:CSCW1(1-36)Online publication date: 26-Apr-2024
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Index Terms

Journalistic Source Discovery: Supporting The Identification of News Sources in User Generated Content
1. Human-centered computing

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
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Katherine Isbister
University of California Santa Cruz, USA
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Takeo Igarashi
The University of Tokyo, Japan
,
Publications Chairs:
Pernille Bjørn
University of Copenhagen, Denmark
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Steven Drucker
Microsoft Research, USA

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https://doi.org/10.1016/j.ijhcs.2024.103378
Nishal SSinchai JDiakopoulos N(2024)Understanding Practices around Computational News Discovery Tools in the Domain of Science JournalismProceedings of the ACM on Human-Computer Interaction10.1145/36374198:CSCW1(1-36)Online publication date: 26-Apr-2024
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Freixa PPérez-Montoro MCodina L(2021)The binomial of interaction and visualization in digital news media: consolidation, standardization and future challengesEl Profesional de la información10.3145/epi.2021.jul.01Online publication date: 13-Jul-2021
https://doi.org/10.3145/epi.2021.jul.01
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