强化、调整、再造:人工智能如何影响新闻业的专业诉求

IF 2.7 2区 文学 Q1 COMMUNICATION Journalism Pub Date : 2024-07-31 DOI:10.1177/14648849241269300
Lynge Asbjørn Møller, Morten Skovsgaard, Claes de Vreese
{"title":"强化、调整、再造:人工智能如何影响新闻业的专业诉求","authors":"Lynge Asbjørn Møller, Morten Skovsgaard, Claes de Vreese","doi":"10.1177/14648849241269300","DOIUrl":null,"url":null,"abstract":"Major advances in artificial intelligence have fuelled a rapid increase in the automation and augmentation of journalistic work, challenging the centrality of journalists in the news production process. This article theoretically explores news automation by adopting a system of professions framework from the sociology of professions to provide a holistic perspective on the impact of artificial intelligence on journalistic work. This framework posits that different factors influence professional control over work, and problems caused by these factors have left journalism vulnerable to automation. The routine and mundane nature of a significant portion of journalistic tasks suggests that artificial intelligence may potentially replace many journalists in the future, thereby challenging the profession’s claim to expertise. For journalism to uphold its professional authority in the future, it needs to brace for the impact of artificial intelligence. Building on this analysis, we explore strategies for journalism to do so. This involves reinforcing professional ideals in new algorithmic practices, readjusting knowledge and skill taught in education, and reclaiming specialised work practices in organisations. Rather than a threat, the emergence of artificial intelligence then presents an opportunity for journalism to reintroduce the distinctiveness of the profession and rejuvenate its professional promise.","PeriodicalId":51432,"journal":{"name":"Journalism","volume":"145 1","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reinforce, readjust, reclaim: How artificial intelligence impacts journalism’s professional claim\",\"authors\":\"Lynge Asbjørn Møller, Morten Skovsgaard, Claes de Vreese\",\"doi\":\"10.1177/14648849241269300\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Major advances in artificial intelligence have fuelled a rapid increase in the automation and augmentation of journalistic work, challenging the centrality of journalists in the news production process. This article theoretically explores news automation by adopting a system of professions framework from the sociology of professions to provide a holistic perspective on the impact of artificial intelligence on journalistic work. This framework posits that different factors influence professional control over work, and problems caused by these factors have left journalism vulnerable to automation. The routine and mundane nature of a significant portion of journalistic tasks suggests that artificial intelligence may potentially replace many journalists in the future, thereby challenging the profession’s claim to expertise. For journalism to uphold its professional authority in the future, it needs to brace for the impact of artificial intelligence. Building on this analysis, we explore strategies for journalism to do so. This involves reinforcing professional ideals in new algorithmic practices, readjusting knowledge and skill taught in education, and reclaiming specialised work practices in organisations. Rather than a threat, the emergence of artificial intelligence then presents an opportunity for journalism to reintroduce the distinctiveness of the profession and rejuvenate its professional promise.\",\"PeriodicalId\":51432,\"journal\":{\"name\":\"Journalism\",\"volume\":\"145 1\",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journalism\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://doi.org/10.1177/14648849241269300\",\"RegionNum\":2,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMMUNICATION\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journalism","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1177/14648849241269300","RegionNum":2,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 0

摘要

人工智能的重大进步推动了新闻工作自动化和增强化的快速发展,对新闻工作者在新闻生产过程中的核心地位提出了挑战。本文从理论上探讨了新闻自动化,采用了职业社会学中的职业系统框架,从整体上探讨了人工智能对新闻工作的影响。该框架认为,不同的因素会影响职业对工作的控制,而这些因素导致的问题使新闻业容易受到自动化的影响。相当一部分新闻工作的常规性和平凡性表明,人工智能在未来有可能取代许多记者,从而对新闻业的专业性提出挑战。新闻业要想在未来维护其专业权威,就必须做好应对人工智能冲击的准备。在此分析的基础上,我们探讨了新闻业的应对策略。这包括在新的算法实践中强化专业理想,重新调整教育中教授的知识和技能,以及在组织中重新找回专业化的工作实践。与其说人工智能的出现是一种威胁,不如说它为新闻业提供了一个契机,让我们重新认识新闻业的独特性,重振新闻业的专业前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Reinforce, readjust, reclaim: How artificial intelligence impacts journalism’s professional claim
Major advances in artificial intelligence have fuelled a rapid increase in the automation and augmentation of journalistic work, challenging the centrality of journalists in the news production process. This article theoretically explores news automation by adopting a system of professions framework from the sociology of professions to provide a holistic perspective on the impact of artificial intelligence on journalistic work. This framework posits that different factors influence professional control over work, and problems caused by these factors have left journalism vulnerable to automation. The routine and mundane nature of a significant portion of journalistic tasks suggests that artificial intelligence may potentially replace many journalists in the future, thereby challenging the profession’s claim to expertise. For journalism to uphold its professional authority in the future, it needs to brace for the impact of artificial intelligence. Building on this analysis, we explore strategies for journalism to do so. This involves reinforcing professional ideals in new algorithmic practices, readjusting knowledge and skill taught in education, and reclaiming specialised work practices in organisations. Rather than a threat, the emergence of artificial intelligence then presents an opportunity for journalism to reintroduce the distinctiveness of the profession and rejuvenate its professional promise.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journalism
Journalism COMMUNICATION-
CiteScore
7.90
自引率
10.30%
发文量
123
期刊介绍: Journalism is a major international, peer-reviewed journal that provides a dedicated forum for articles from the growing community of academic researchers and critical practitioners with an interest in journalism. The journal is interdisciplinary and publishes both theoretical and empirical work and contributes to the social, economic, political, cultural and practical understanding of journalism. It includes contributions on current developments and historical changes within journalism.
期刊最新文献
Knowledge can wait? The epistemic conversion of new beat reporters Behind the black box: The moderating role of the machine heuristic on the effect of transparency information about automated journalism on hostile media bias perception Citizen journalism revisited: A case study of Kenya’s kibera news network (De)politicization of the environmental agenda in Russian media Why media platforms police the boundaries of impartiality: A comparative analysis of television news and fact-checking in the UK
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1