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问题疫苗事件微博传播中的情绪与表达
Emotions and Expressions in Weibo Communication of Vaccine Events
【作者】 李聪;
【导师】 周丽玲;
【作者基本信息】 武汉大学 , 传播学, 2019, 硕士
【摘要】 疫苗造假事件的发生引发了新浪微博用户的热议,面对不同的情绪客体,不同身份的用户情绪和表达方式各有不同。本文通过量化的内容分析和质化的文本分析的方式对微博用户的情绪和表达方式等进行深入的分析。研究发现,微博用户的负面情绪较多,其中愤怒情绪尤为明显。一些普通网民会倾向于通过更为简单的、直接的表达方式,例如“反问”、“感叹”和“夸张”等,来对涉事企业或是相关人员宣泄情绪;而对于政府、社会而言,一些行业精英、微博大V等个人意见领袖则采用更为复杂的“设问”、“反语”和“联想”等方式来表达谴责、讽刺或是质疑等情绪;同时网民也会夸大社会现象,运用丰富的联想,对媒体和社会表现出一种失望的情绪。舒茨的知识的社会分配理论指出,知识的来源分为“得到社会承认的知识”和“来源于社会的知识”。根据知识分配的不同将公众分为三种理想型人:“专家”、“耳聪目明的公民”和“路人”。通过研究发现,“专家”具有其领域内的权威知识,但在网络上也存在与“常人”之间的风险认知差异。“路人”在微博上倾向于通过对当事方、政府来直接地表达愤怒等直接的情绪,不对事件的前因后果进行过多的理性思考,不追究信息的来源,对事件的参与程度较低,在身份认证上多为“无认证”“非会员”用户。“耳聪目明的公民”更倾向于表达“谴责”、“质疑”和“讽刺”等情绪,需要通过“联想”、“对比”或是用更为复杂的“比喻”、“反语”对社会、政府进行情绪化的表达,这类的公民在身份认证上多为官方或个人认证以及会员用户,并且对事件的参与程度较高。另外,本文对游离型用户的情绪进行深入的分析发现,游离型用户并非完全采取“边缘路径”来进行情绪的表达,游离型用户中既存在“路人”,也存在“耳聪目明的公民”。从对公众在新浪微博上的舆情分析发现,社会上频发的造假事件以及此类事件的新闻报道会引发公众的恐慌言论。官方与民间的信息沟通不畅会引发网民对政府和媒体的失望。因此面对新媒体事件,政府机构、涉事企业与媒体都应该加强其公信力,做好舆情疏通的工作,缓和社会矛盾。同时公众也要提高个人的媒介素养,理性地参与公共空间的讨论。
【Abstract】 The occurrence of the"vaccination fraud"incident has sparked a heated discussion among Sina Weibo users.In the face of different emotional objects,users of different identities have different emotions and expressions.This paper deeply analyzes the emotions and expressions of Weibo users through quantitative content analysis and qualitative text analysis.The study found that Weibo users have more negative emotions,especially anger.Some unauthenticated ordinary netizens will tend to vent their emotions to the involved companies or related personnel through simpler and direct expressions such as"reverse questioning","sighing"and"exaggeration";In society,some industry leaders such as elites or celebrities use more complicated“question","anti-language"and“association"to express condemnation,satire or questioning.At the same time,netizens will exaggerate social phenomena,and the use of rich associations shows disappointing sentiments towards the media and society.Schutz’s theory of social distribution of knowledge points out that the source of knowledge is divided into"knowledge recognized by society"and"knowledge derived from society".According to the different distribution of knowledge,the public is divided into three ideal types:“experts","on the street","well-informed citizen".Through research,this paper finds that“experts"have authoritative knowledge in their fields,but there are also differences in risk perceptions between"people"on the Internet.On the Weibo,“on the street"tend to directly express anger and other direct emotions to the parties and the government.They do not think too much about the cause and effect of the incident,and do not pursue the source of the information.Non-certified"non-member"users have a low level of participation in the event."well-informed citizen"are more inclined to express emotions such as"condemnation","questioning"and"satire".They need to use"association","contrast"or use more complicated"metaphor"and“anti-language"to"social".The“government"carries out emotional expressions.Such citizens are mostly official or individual certifications and member users in identity authentication,and have a high degree of participation in the event.In addition,this paper makes an in-depth analysis of the emotions of the free-type users,and finds that the free-type users do not completely adopt the"edge path"to express the emotions.In the free-type users,there are both“on the street"and"well-informed citizen".From the public sentiment analysis on Sina Weibo,frequent fraud incidents and frequent reports on the Internet platform will trigger public panic speech.Poor communication between official and private sources will trigger netizens’disappointment with the government and the media.Therefore,in the face of new media incidents,government agencies,involved enterprises and the media should strengthen their credibility,and ease social conflicts.At the same time,individuals should also improve their personal media literacy and participate in the discussion of public space rationally.
【Key words】 Weibo Communication; Emotion analysis; Opinion expression; Vaccination fraud;
- 【网络出版投稿人】 武汉大学 【网络出版年期】2019年 09期
- 【分类号】G206
- 【被引频次】3
- 【下载频次】547