Mesh : Artificial Intelligence Humans Journalism Science Europe Italy Mass Media Portugal

来  源:   DOI:10.1371/journal.pone.0303367   PDF(Pubmed)

Abstract:
Science journalists, traditionally, play a key role in delivering science information to a wider audience. However, changes in the media ecosystem and the science-media relationship are posing challenges to reliable news production. Additionally, recent developments such as ChatGPT and Artificial Intelligence (AI) more generally, may have further consequences for the work of (science) journalists. Through a mixed-methodology, the quality of news reporting was studied within the context of AI. A content analysis of media output about AI (news articles published within the time frame 1 September 2022-28 February 2023) explored the adherence to quality indicators, while interviews shed light on journalism practices regarding quality reporting on and with AI. Perspectives from understudied areas in four European countries (Belgium, Italy, Portugal, and Spain) were included and compared. The findings show that AI received continuous media attention in the four countries. Furthermore, despite four different media landscapes, the reporting in the news articles adhered to the same quality criteria such as applying rigour, including sources of information, accessibility, and relevance. Thematic analysis of the interview findings revealed that impact of AI and ChatGPT on the journalism profession is still in its infancy. Expected benefits of AI related to helping with repetitive tasks (e.g. translations), and positively influencing journalistic principles of accessibility, engagement, and impact, while concerns showed fear for lower adherence to principles of rigour, integrity and transparency of sources of information. More generally, the interviewees expressed concerns about the state of science journalism, including a lack of funding influencing the quality of reporting. Journalists who were employed as staff as well as those who worked as freelancers put efforts in ensuring quality output, for example, via editorial oversight, discussions, or memberships of associations. Further research into the science-media relationship is recommended.
摘要:
科学记者,传统上,在向更广泛的受众提供科学信息方面发挥着关键作用。然而,媒体生态系统和科学媒体关系的变化对可靠的新闻生产构成了挑战。此外,最近的发展,如ChatGPT和人工智能(AI),可能会对(科学)记者的工作产生进一步的影响。通过混合方法,新闻报道的质量是在人工智能的背景下研究的。关于AI的媒体输出的内容分析(在2022年9月1日至2023年2月28日的时间范围内发布的新闻文章)探讨了对质量指标的坚持,而采访则揭示了关于人工智能质量报告的新闻实践。来自四个欧洲国家(比利时,意大利,葡萄牙,和西班牙)被包括在内并进行比较。调查结果表明,人工智能在这四个国家受到了媒体的持续关注。此外,尽管有四种不同的媒体景观,新闻文章中的报道遵循相同的质量标准,例如应用严谨,包括信息来源,可访问性,和相关性。对采访结果的主题分析表明,AI和ChatGPT对新闻业的影响仍处于起步阶段。AI与帮助完成重复性任务(例如翻译)相关的预期好处,并积极影响新闻的可访问性原则,订婚,和影响,虽然担忧显示出对严格原则的遵守程度降低的恐惧,信息来源的完整性和透明度。更一般地说,受访者表达了对科学新闻状况的担忧,包括缺乏资金影响报告质量。被聘为工作人员的记者以及作为自由职业者的记者都在努力确保高质量的产出,例如,通过编辑监督,讨论,或协会的成员。建议进一步研究科学与媒体的关系。
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