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社交网络平台中传染性疾病污名信息传播机理研究 被引量:1

The Communication Mechanism of Information Related to Infectious Disease Stigma in Social Network Platforms
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摘要 传染性疾病污名化是一个全球性问题,给被污名群体造成了严重伤害。自新型冠状病毒肺炎疫情在全球大规模暴发以来,社交媒体已然成为与新型冠状病毒肺炎相关的污名信息传播的重要场域。但社交媒体中相关污名信息是如何传播的仍不清楚,需要进一步探讨。本研究以“China Virus”为例,对特定时间范围内推特中的污名信息传播机理进行了开放性探索。探索发现,社交网络污名权力在污名信息传播过程中发挥着基础性作用,以特朗普、拜登以及凯莉·麦肯内妮等为首的超级流量IP主导了这一污名信息的传播进程。此外,传播过程中的计算污名现象较为清晰,且在呈现形式上纯文本信息占据多数,并具有明显的诉诸情感和个人信仰的情绪化传播倾向。最后,在与“China Virus”相关的污名推文信息传播过程中,相关传播主体还通过将“China Virus”与各类型热门话题、虚假信息和阴谋论等捆绑的形式不断扩大了污名信息的传播范围。 Infectious Disease Stigma(IDS)is a global problem that takes a heavy toll on the stigmatized groups.Since the global outbreak of COVID-19,social media has become an important field for the communication of stigma information related to COVID-19.However,it is still unclear how the stigma information is communicated in social media and needs further exploration.Taking“China Virus”as an example,this study conducted an open exploration on the communication mechanism of stigma information on Twitter within a specific time.It is found that the social network stigma power plays a fundamental role in the communication of stigma information,and the super traffic IP led by Trump,Biden and Kelly McEnany dominates the communication process of stigma information.In addition,the phenomenon of computational stigma is relatively obvious in the communication process,and the plain text information occupies the majority in the form of presentation.At the same time,the stigma information also has an obvious tendency to appeal to emotion and personal belief.Finally,“China Virus”is also tied to various types of hot topics,disinformation and conspiracy theories,constantly expanding the?Ecommunication scope of the stigmatized information.
作者 李卫东 李宁 Li Weidong;Li Ning
出处 《中国新闻传播研究》 2022年第5期153-176,共24页 China Journalism and Communication Journal
基金 国家自然科学基金重点项目(项目编号:71734002) 华中科技大学学术前沿青年团队资助项目(项目编号:2018QYTD09)
关键词 社交媒体 传染性疾病污名化 污名信息 传播机理 social media infectious disease stigma stigma information communication mechanism
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