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

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

doi:10.48550/arxiv.2409.12000

Back

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

Preprint

Open access

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

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

ArXiv.org

Cornell University

09/18/2024

DOI: 10.48550/arxiv.2409.12000

Files and links (1)

url

https://doi.org/10.48550/arxiv.2409.12000View

Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

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. While prior research has explored the impact of AI-related roles entering the news industry, there is a lack of studies on how cross-functional collaboration unfolds between AI professionals and journalists. Through interviews with 17 journalists, 6 AI technologists, and 3 AI workers with cross-functional experience from leading news organizations, we investigate the current practices, challenges, and opportunities for cross-functional collaboration around AI in today's news industry. We first study how journalists and AI professionals perceive existing cross-collaboration strategies. We further explore the challenges of cross-functional collaboration and provide recommendations for enhancing future cross-functional collaboration around AI in the news industry.

Computer Science - Computers and Society

Computer Science - Human-Computer Interaction

Computer Science - Learning

Computer Science - Social and Information Networks

Details

Title: Subtitle: "It Might be Technically Impressive, But It's Practically Useless to Us": 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 M Simon - University of Oxford
Bingbing Zhang - University of Iowa
Motahhare Eslami - Carnegie Mellon University
Resource Type: Preprint
Publication Details: ArXiv.org
DOI: 10.48550/arxiv.2409.12000
ISSN: 2331-8422
Publisher: Cornell University; Ithaca, New York
Language: English
Date posted: 09/18/2024
Academic Unit: Center for Social Science Innovation; School of Journalism and Mass Communication
Record Identifier: 9984705603102771

Metrics

18 Record Views