On social effects in the spread of corporate bad news기업에 대한 부정적 뉴스의 전파에서 사회적 관계가 미치는 영향연구

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Social media has become prominently popular over the recent years. Tens of millions of users login to social media sites such as Twitter to disseminate breaking news and share their opinions and thoughts. For businesses, social media is potentially useful for monitoring the public perception and social reputation of companies and products. Despite such potential, how bad news about a company influences the public sentiments in social media has not been studied in depth. The aim of this study is to assess people’s sentiments expressed on Twitter upon the spread of two types of information: corporate bad news and a CEO’s apology. I attempted to understand how sentiments on corporate bad news propagate on Twitter and whether any social network features facilitate its spread. The Domino’s Pizza crisis in 2009 in the U.S. and the E-Mart crisis in 2010 in South Korea, where bad news spread rapidly through social media followed by an apology from the company, were investigated for this thesis. The results show that bad news spreads faster than other types of information, such as an apology, and sparks a great degree of negative sentiments in the network. However, when users converse about bad news repeatedly, their negative sentiments are softened. Moreover, the CEO’s direct apology on Twitter had clear benefits. Moreover, as expected, an apology on Twitter was more effective to followers than non-followers. However, followers showed more intense changes in both positive and negative sentiments. The results also show that negative sentiments have stronger dynamics than positive sentiments, in terms of the degree of sentiment change. Moreover, I discuss various reactions of users towards the bad news in social media such as negative purchase intent. This thesis provides insights on the potential for efficient crisis communication in online social media and discusses future research agendas.
Advisors
Cha, Mee-Youngresearcher차미영
Description
한국과학기술원 : 문화기술대학원,
Publisher
한국과학기술원
Issue Date
2012
Identifier
509211/325007  / 020104324
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 문화기술대학원, 2012.8, [ v, 51p ]

Keywords

Bad news spreading; Information diffusion; Social network analysis; social media; 부정정 뉴스 전파; 정보 전파; 사회 관계망 분석; 소셜 미디어; 감성 분석; sentiment analysis

URI
http://hdl.handle.net/10203/181120
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=509211&flag=dissertation
Appears in Collection
CS-Theses_Master(석사논문)
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