"It Might be Technically Impressive, But It's Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

Qing Xiao; Xianzhe Fan; Felix Marvin Simon; Bingbing Zhang; Motahhare Eslami

doi:10.1145/3706598.3714090

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"It Might be Technically Impressive, But It's Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

Conference proceeding

Open access

"It Might be Technically Impressive, But It's Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry

Qing Xiao, Xianzhe Fan, Felix Marvin Simon, Bingbing Zhang and Motahhare Eslami

Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pp.1-19

ACM Conferences

CHI 2025: CHI Conference on Human Factors in Computing Systems

04/26/2025

DOI: 10.1145/3706598.3714090

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Abstract

Recently, an increasing number of news organizations have integrated artificial intelligence (AI) into their workflows, leading to a further influx of AI technologists and data workers into the news industry. This has initiated cross-functional collaborations between these professionals and journalists. Although prior research has explored the impact of AI-related roles entering the news industry, there is a lack of studies on how internal cross-functional collaboration around AI unfolds between AI professionals and journalists within the news industry. Through interviews with 17 journalists, six AI technologists, and three AI workers with cross-functional experience from leading Chinese news organizations, we investigate the practices, challenges, and opportunities for internal cross-functional collaboration around AI in news industry. We first study how these journalists and AI professionals perceive existing internal cross-collaboration strategies. We explore the challenges of cross-functional collaboration and provide recommendations for enhancing future cross-functional collaboration around AI in the news industry.

Human-centered computing -- Empirical studies in HCI

Details

Title: Subtitle: "It Might be Technically Impressive, But It's Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry
Creators: Qing Xiao - Carnegie Mellon University
Xianzhe Fan - Tsinghua University
Felix Marvin Simon - University of Oxford
Bingbing Zhang - University of Iowa
Motahhare Eslami - Carnegie Mellon University
Contributors: Naomi Yamashita (Editor) - Kyoto University
Vanessa Evers (Editor) - Nanyang Technological University
Koji Yatani (Editor) - The University of Tokyo
Xianghua (Sharon) Ding (Editor) - University of Glasgow
Bongshin Lee (Editor) - Yonsei University
Marshini Chetty (Editor) - University of Chicago
Phoebe Toups-Dugas (Editor) - Monash University
Resource Type: Conference proceeding
Publication Details: Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, pp.1-19
Conference: CHI 2025: CHI Conference on Human Factors in Computing Systems
Series: ACM Conferences
DOI: 10.1145/3706598.3714090
Publisher: ACM
Number of pages: 19
Language: English
Date published: 04/26/2025
Academic Unit: Center for Social Science Innovation; School of Journalism and Mass Communication
Record Identifier: 9984813153702771

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