Qing Xiao, Xianzhe Fan, Felix M. Simon, Bingbing Zhang, Motahhare Eslami
{"title":"\"技术上可能令人印象深刻，但实际上对我们毫无用处\"：新闻行业围绕人工智能开展跨职能合作的实践、挑战和机遇","authors":"Qing Xiao, Xianzhe Fan, Felix M. Simon, Bingbing Zhang, Motahhare Eslami","doi":"arxiv-2409.12000","DOIUrl":null,"url":null,"abstract":"Recently, an increasing number of news organizations have integrated\nartificial intelligence (AI) into their workflows, leading to a further influx\nof AI technologists and data workers into the news industry. This has initiated\ncross-functional collaborations between these professionals and journalists.\nWhile prior research has explored the impact of AI-related roles entering the\nnews industry, there is a lack of studies on how cross-functional collaboration\nunfolds between AI professionals and journalists. Through interviews with 17\njournalists, 6 AI technologists, and 3 AI workers with cross-functional\nexperience from leading news organizations, we investigate the current\npractices, challenges, and opportunities for cross-functional collaboration\naround AI in today's news industry. We first study how journalists and AI\nprofessionals perceive existing cross-collaboration strategies. We further\nexplore the challenges of cross-functional collaboration and provide\nrecommendations for enhancing future cross-functional collaboration around AI\nin the news industry.","PeriodicalId":501032,"journal":{"name":"arXiv - CS - Social and Information Networks","volume":"46 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"\\\"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\",\"authors\":\"Qing Xiao, Xianzhe Fan, Felix M. Simon, Bingbing Zhang, Motahhare Eslami\",\"doi\":\"arxiv-2409.12000\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently, an increasing number of news organizations have integrated\\nartificial intelligence (AI) into their workflows, leading to a further influx\\nof AI technologists and data workers into the news industry. This has initiated\\ncross-functional collaborations between these professionals and journalists.\\nWhile prior research has explored the impact of AI-related roles entering the\\nnews industry, there is a lack of studies on how cross-functional collaboration\\nunfolds between AI professionals and journalists. Through interviews with 17\\njournalists, 6 AI technologists, and 3 AI workers with cross-functional\\nexperience from leading news organizations, we investigate the current\\npractices, challenges, and opportunities for cross-functional collaboration\\naround AI in today's news industry. We first study how journalists and AI\\nprofessionals perceive existing cross-collaboration strategies. We further\\nexplore the challenges of cross-functional collaboration and provide\\nrecommendations for enhancing future cross-functional collaboration around AI\\nin the news industry.\",\"PeriodicalId\":501032,\"journal\":{\"name\":\"arXiv - CS - Social and Information Networks\",\"volume\":\"46 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Social and Information Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2409.12000\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Social and Information Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.12000","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
"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
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.
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