Shi, Rui
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Publication Self-Presentation on the Web: Agencies Serving Abused and Assaulted Women(2014-04-01) Sorenson, Susan B; Shi, Rui; Zhang, Jingwen; Xue, JiaObjectives. We examined the content and usability of the Web sites of agencies serving women victims of violence. Methods. We entered the names of a systematic 10% sample of 3774 agencies listed in 2 national directories into a search engine. We took (in April 2012) and analyzed screenshots of the 261 resulting home pages and the readability of 193 home and first-level pages. Results. Victims (94%) and donors (68%) were the primary intended audiences. About one half used social media and one third provided cues to action. Almost all (96.4%) of the Web pages were rated “fairly difficult” to “very confusing” to read, and 81.4% required more than a ninth-grade education to understand. Conclusions. The service and marketing functions were met fairly well by the agency home pages, but usability (particularly readability and offer of a mobile version) and efforts to increase user safety could be improved. Internet technologies are an essential platform for public health. They are particularly useful for reaching people with stigmatized health conditions because of the anonymity allowed. The one third of agencies that lack a Web site will not reach the substantial portion of the population that uses the Internet to find health information and other resources.Publication Viewer-Generated Comments to Online Health Policy News: Content, Dynamics, and Influence(2016-01-01) Shi, RuiNew media has changed people’s experience with news. News readers nowadays encounter both selective opinions from elite sources and comments from anonymous strangers. The question is: how do people simultaneously process these two types of information? This dissertation selects a health policy, namely the cigarette graphic warning label (GWL) policy, locates online news reports on the major developments of the GWL policy, examines the content and dynamics of the public deliberation on the comment boards for these news articles, and explores the social consequences of such deliberation on news readers. A computerized content analysis was first conducted on user-generated comments following GWL news articles and results showed the majority of the comments were relevant to the issue under debate and argumentative and thus qualified as public deliberation. Comments were predominantly against GWL, and the most prevalent argument was the danger of government infringing on personal life. Three thematic frames emerged from the coding of arguments in comments: the legitimacy of the policy, the effectiveness of the GWL, and the presentational features of the labels. An experiment was then conducted to test the effect of news and comments on readers’ attitude and behavior. Readers of oppositional comments showed significantly lower level of policy support than those who read no comment or supportive comments. News story elicited the highest level of policy support when only the basic facts of the policy but none of the argumentative themes was covered. Comments outperformed news in shaping readers’ thought diversity such that comments could stimulate people to think more when news is narrow, and limit people to think less when news is thorough. Political ideology interacted with comment valence to influence participation such that conservatives tend to post comments if the opinion climate is overly positive, but liberals did not show interest in posting when the opinion climate is overly negative. Comments are a distorted reflection of public opinion. Content analysis found only 10% of the comments expressed any form of support for the GWL policy while 61% of the experiment participants indicated they were in favor of the policy.