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机器视频新闻受众态度的影响因素实验分析——以新华智云疫情报道机器人为例
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An experimental analysis of the factors affecting audience’s attitude of machine video news: taking the Xinhua Zhiyun pandemic reporting robot as an example
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投稿时间：
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2022/10/20 0:00:00
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DOI：
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中文关键词：
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机器新闻；受众；态度；新冠疫情
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英文关键词：
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machine-written news; audience; attitude; the Covid-19 pandemic; experiment method
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基金项目：
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北京市文化名家暨“四个一批”人才工程项目“媒体融合背景下国际传播理论人才培养与队伍建设工作室”（SGYP202101）；国家重大专项“智能融媒体学科创新引智基地”（B20086）
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姓名
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单位
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段鹏
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中国传媒大学媒体融合与传播国家重点实验室
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邱新然
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中国传媒大学传播研究院
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点击数：2313
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下载数：1961
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中文摘要：
新冠肺炎疫情为机器新闻提供了生产脚本。2020年初起新华智云上线疫情报道机器人，生产了大量自动化的疫情数据新闻。研究以“认知-情感-行为意愿”的CAC模型为框架，通过2×2因子实验法，得出“写作主体”和“新闻形式”两因素均会对受众对于疫情新闻的态度产生显著影响，而相比于人类记者写作的新闻，受众对于人工智能视频疫情新闻的态度显著更积极。机器视频新闻生产有利于打破受众面对重大公共卫生事件的数字焦虑和认知壁垒，为维护社会环境稳定提供积极驱动力。
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英文摘要：
The Covid-19 pandemic provides a production script for machine news. Since 2020, Xinhua Zhiyun urgently launched the pandemic reporting robot to report the Covid-19 pandemic news in the form of visual data. This paper takes the “Cognitive-Affective-Conative Model” as the framework, adopting 2×2 factorial online experiment method. It is found that both “writing subject” and “news form” will have a significant impact on the audience's attitude towards pandemic news. Comparing with the news written by human journalists, the audience's attitude towards machine video news is significantly more positive. The production of machine video news is conducive to breaking down the digital anxiety and cognitive barriers of the audience in the face of major public health events, and providing positive driving forces for maintaining the stability of the social environment.
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参考文献：
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