分析对机器视频新闻态度的驱动因素：新华知音》案例研究

IF 4.3 3区材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

ACS Applied Electronic Materials Pub Date : 2024-06-14 DOI:10.1177/20594364241262681

Peng Duan

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引用次数: 0

摘要

COVID-19 大流行凸显了对可靠信息和新闻来源的需求。2020 年，新华社推出了 "知云 "疫情报告机器人，它可以根据可视化数据生成 COVID-19 的新闻报道。这一发展提出了机器生成的新闻与传统来源相比是否有效的关键问题，尤其是与重大公共卫生事件（如大流行病）相关的新闻。本文采用认知-情感-共性模型和方差分析方法，通过实验研究获取数据，研究机器生成新闻对受众对 COVID-19 新闻态度的影响。分析采用了 2 × 2 因式在线实验方法，以检验两个变量的影响："主题 "和 "新闻形式 "两个变量的影响。研究结果表明，"主题 "和 "新闻形式 "会显著影响受众对流行病新闻的态度，机器生成的视频新闻比人类记者撰写的新闻获得了更积极的回应。根据这项研究的结果，可以得出结论：机器生成的新闻在重大公共卫生事件（如 COVID-19）期间提供可获取的可靠信息方面具有巨大潜力。这项研究对新闻行业具有重要意义，表明未来有可能更多地使用机器制作新闻。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Analyzing drivers of attitudes toward machine video news: A Xinhua Zhiyun case study

The COVID-19 pandemic has highlighted the need for reliable information and news sources. In 2020, Xinhua News Agency launched “Zhiyun,” an epidemic reporting robot that can generate COVID-19 news reports based on visual data. This development raises key issues regarding the effectiveness of machine-generated news compared to traditional sources, especially news related to major public health events such as the pandemic. Using the Cognitive-Affective-Conative Model and ANCOVA method, this paper conducts experimental research to obtain data and studies the impact of machine-made news on the audience’s attitude towards COVID-19 news. The analysis used a 2 × 2 factorial online experimental method to test the impact of two variables: “theme” and “news format.” The research results indicate that the theme and news format significantly affect the audience’s attitude towards epidemic news, and machine-generated video news received a more positive response than news written by human journalists. Based on the results of this study, it can be concluded that machine-generated news has great potential to provide accessible and reliable information during major public health events such as COVID-19. This study has significant implications for the news industry, indicating the possibility of increasing the use of machine news production in the future.

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来源期刊

ACS Applied Electronic Materials Multiple-

CiteScore

7.20

自引率

4.30%

发文量

567

期刊介绍： ACS Applied Electronic Materials is an interdisciplinary journal publishing original research covering all aspects of electronic materials. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials science, engineering, optics, physics, and chemistry into important applications of electronic materials. Sample research topics that span the journal's scope are inorganic, organic, ionic and polymeric materials with properties that include conducting, semiconducting, superconducting, insulating, dielectric, magnetic, optoelectronic, piezoelectric, ferroelectric and thermoelectric. Indexed/Abstracted： Web of Science SCIE Scopus CAS INSPEC Portico