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An Empirical Study Of Health Information About Rumor Refutation In Sina Micro-blog

Posted on:2018-07-18Degree:MasterType:Thesis
Country:ChinaCandidate:L HuangFull Text:PDF
GTID:2348330515468848Subject:Journalism
Abstract/Summary:PDF Full Text Request
Rumors already have since ancient time.In different periods,rumors attached to different development of media.In 2009,because of Micro Blog was appeared and with the characteristics of Micro Blog,rumors was prospered rapidly.To inhibit its development,Weibo Refutes Rumors Account was appeared.In recent years,so many Medical problem and Food quality problem are known by people,that the quantity of rumors that how to make body more health are also increased.The quantity of information about refute these rumors are also increased.In this paper,I useContent Analysis and Case Analysis Method to study refuting health rumors in Sina weibo.This paper is divided into five chapters,first chapter is about researching background and the current status about refuting health rumors in Sina weibo,also put forward the main subject of study.Second chapter is about making details analysis about process of Weibo's development,the generate and development of Weibo Refutes Rumors Account and the communication medium of Weibo Refutes Rumors Account.Third chapter is about research design and research methods,the construction of the analysis unit and the category and the operable definition of information about health refute rumors.Forth chapter is about using descriptive statistical analysis method,cross-analysis method and regression analysis method to analysis sample data.Fifth chapter is about anglicizing conclusion,for the existing problems,I put forward to increase the diversity of information existing,information originality and increase the interaction with the medical weibo,I also make some advises about improve the credibility of health refutes rumors informations.Make analysis about 246 health refute rumor informations in Weibo Refutes Rumors and 653 health refute rumor informations in Rumor Grinder.From the basic content,the presentation way of information and Content type,etc to make detail analysis.Use SPSS statistical software to analysis the factors that can impact the amount of forwarding,the amount of comment in Weibo Refutes Rumors and Rumor Grinder.From these analysis we can get The following conclusions:The health refute rumor informations in Weibo is mainly about original information and forwarding information;the presentation way can be pure text,text + image,text + video,text + links,text + image + links,text + video + links,totally six ways;content types are Medical health,food safety,Environmental pollution,Beauty and Health,these four categories.Every category has its own content;the factors that can impact amount of forwarding and amount of comment are including if this information is forwarding or not,the way to present information and the type of content.There are many differences between Weibo Refutes Rumors and Rumor Grinder.
Keywords/Search Tags:Sina weibo, Health information, Refutesrumor
PDF Full Text Request
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