"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
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 journali...
| Những tác giả chính: | , , , , |
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| Định dạng: | Conference item |
| Ngôn ngữ: | English |
| Được phát hành: |
Association for Computing Machinery
2025
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| _version_ | 1826317602809446400 |
|---|---|
| author | Xiao, Q Fan, X Simon, FM Zhang, B Eslami, M |
| author_facet | Xiao, Q Fan, X Simon, FM Zhang, B Eslami, M |
| author_sort | Xiao, Q |
| collection | OXFORD |
| description | 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 crossfunctional 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. |
| first_indexed | 2025-03-11T16:56:31Z |
| format | Conference item |
| id | oxford-uuid:4c662bdf-ce80-4b30-9f1f-393d82a2522a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2025-03-11T16:56:31Z |
| publishDate | 2025 |
| publisher | Association for Computing Machinery |
| record_format | dspace |
| spelling | oxford-uuid:4c662bdf-ce80-4b30-9f1f-393d82a2522a2025-02-21T11:28:25Z"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 industryConference itemhttp://purl.org/coar/resource_type/c_5794uuid:4c662bdf-ce80-4b30-9f1f-393d82a2522aEnglishSymplectic ElementsAssociation for Computing Machinery2025Xiao, QFan, XSimon, FMZhang, BEslami, MRecently, 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 crossfunctional 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. |
| spellingShingle | Xiao, Q Fan, X Simon, FM Zhang, B Eslami, M "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 |
| title | "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 |
| title_full | "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 |
| title_fullStr | "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 |
| title_full_unstemmed | "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 |
| title_short | "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 |
| title_sort | 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 |
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