吕书鹏,高功成

• 1:西安交通大学公共政策与管理学院行政管理系
• 2:西安交通大学公共政策与管理学院

摘要(Abstract)：

本研究通过整理新冠疫情期间公众对专家知识相关微博的评论文本，运用文本情感分析和BTM主题模型，实证研究了公众对专家知识的“信息厌倦”现象。在验证S-S-O理论基本观点的基础上，本研究进一步发现，“信息厌倦”现象在不同类型专家知识和风险情境中存在差异。具体地，公众对病毒科普类知识最不易产生“信息厌倦”,且其程度受风险情境更迭的影响最小；其次是政策解读类知识；公众对行为呼吁类知识最易产生“信息厌倦”,且其程度随风险情境的更迭变化最大。这一发现为解释社交媒体中的“专家-公众”对立现象提供了新的经验性认知。

关键词(KeyWords)： 信息厌倦;公共卫生事件;专家知识;文本情感分析;BTM主题模型

Abstract:

Keywords:

基金项目(Foundation): 国家社会科学基金一般项目“‘两种韧性’视角下中西方新冠疫情防控比较研究”(项目批准号:21BZZ079);; 陕西省创新能力支撑计划项目“陕西省地方政府邻避项目决策困境与出路研究”(项目批准号:2017KRM011)资助

作者(Author): 吕书鹏,高功成

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