Myungsun Kim, Robert Kim, Onook Oh, H Raghav Rao
Managerial Finance,Vol. 44, Issue 8, Pages: 954-971.
Purpose The purpose of this paper is to examine the role of online freelance stock analysts in correcting mispricing of hard-to-value firms during sentiment-driven market periods. Design/methodology/approach The sample covers 23,758 Seeking Alpha articles obtained for the period between January 2005 and September 2011. The authors use OLS regressions to test the stock market reaction around Seeking Alpha analysts’ reports. The information in online analysts’ reports is measured by the tone of stock articles posted in SeekingAlpha.com (SA). Findings The analysis reveals that the degree of negative tone of their stock articles is related to three-day stock returns around the article posting dates. It further reveals that the relation between these returns and prevailing market sentiment depends on firm-specific susceptibility to the market sentiment. The three-day stock returns are higher during low market
Onook Oh, Priya Gupta, Manish Agrawal, H Raghav Rao
Government Information Quarterly,Vol. 35, Issue 2, Pages: 243-258.
In the context of Internet and Communications Technology (ICT), this research investigates the acceptance of hate rumor and its consequence during a community crisis situation. Extending prior rumor research for this context, we develop and test a refined model using data collected from victims of a large scale (hate) rumor spread incident. Our data analyses present three main findings. First, during the crisis situation, platform characteristics of media synchronicity and richness of expression affected the likelihood of rumor recipients believing the false rumor to be a true message. Second, rumors received from people with closer social ties were more likely to be believed as true. Third, rumor belief during the crisis was associated with greater intensity of informational and behavioral actions. Our findings provide governments with insights to mitigate the spread of hate rumor especially under community disaster
Onook Oh, Chanyoung Eom, H Raghav Rao
Information Systems Research,Vol. 26, Issue 1, Pages: 210-223.
This study explores the role of social media in social change by analyzing Twitter data collected during the 2011 Egypt Revolution. Particular attention is paid to the notion of collective sense making, which is considered a critical aspect for the emergence of collective action for social change. We suggest that collective sense making through social media can be conceptualized as human-machine collaborative information processing that involves an interplay of signs, Twitter grammar, humans, and social technologies. We focus on the …
Onook Oh, Manish Agrawal, H Raghav Rao
Mis Quarterly,Vol. 37, Issue 2,
Social media services and consumer computing devices are rapidly changing the way we are creating, distributing, and sharing emergency information during social crises (Palen et al. 2010; Palen et al. 2009; Shklovski et al. 2010; Shklovski et al. 2008; Starbird and Palen 2010). During large-scale crises (eg, natural disasters and terrorist attacks), it has become the norm that the incident is initially reported by a local eyewitness with a mobile communication device, the report is rapidly distributed through social media services, and …
Gregory D Saxton, Onook Oh, Rajiv Kishore
Information Systems Management,Vol. 30, Issue 1, Pages: 2-20.
In this article, the authors first provide a practical yet rigorous definition of crowdsourcing that incorporates “crowds,” outsourcing, and social web technologies. They then analyze 103 well-known crowdsourcing web sites using content analysis methods and the hermeneutic reading principle. Based on their analysis, they develop a “taxonomic theory” of crowdsourcing by organizing the empirical variants in nine distinct forms of crowdsourcing models. They also discuss key issues and directions, concentrating on the notion of …
K Hazel Kwon, Onook Oh, Manish Agrawal, H Raghav Rao
AIS Transactions on Human-Computer Interaction,Vol. 4, Issue 4, Pages: 212-229.
Twitter is a social news service in which information is selected and distributed by individual members of the tweet audience. While communication literature has studied traditional news media and the propagation of information, to our knowledge there have been no studies of the new social media and their impacts on the propagation of news during extreme event situations. This exploration attempts to build an understanding of how preexisting hyperlink structures on the Web and different types of information channels …