Journal IssueDOI
A model for online consumer health information quality
TLDR
It was showed that consumers may lack the motivation or literacy skills to evaluate the information quality of health Web pages, which suggests the need to develop accessible automatic information quality evaluation tools and ontologies.Abstract:
This article describes a model for online consumer health information consisting of five quality criteria constructs. These constructs are grounded in empirical data from the perspectives of the three main sources in the communication process: health information providers, consumers, and intermediaries, such as Web directory creators and librarians, who assist consumers in finding healthcare information. The article also defines five constructs of Web page structural markers that could be used in information quality evaluation and maps these markers to the quality criteria. Findings from correlation analysis and multinomial logistic tests indicate that use of the structural markers depended significantly on the type of Web page and type of information provider. The findings suggest the need to define genre-specific templates for quality evaluation and the need to develop models for an automatic genre-based classification of health information Web pages. In addition, the study showed that consumers may lack the motivation or literacy skills to evaluate the information quality of health Web pages, which suggests the need to develop accessible automatic information quality evaluation tools and ontologies. © 2009 Wiley Periodicals, Inc.read more
Citations
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Journal ArticleDOI
How Children Gauge Information Trustworthiness in Online Search: Credible or Convenience Searcher?
TL;DR: In this paper, the authors used a qualitative approach by observing and noting the children's searching process and found that children in general could gauge information trustworthiness and have confidence with regard to the relevance, reliability and the credibility of the resources.
Proceedings ArticleDOI
Information Sources and Needs in the Obesity and Diabetes Twitter Discourse
TL;DR: Analysis of 1.5 million tweets mentioning obesity and diabetes shows a strong presence of health information sources which are not affiliated with a governmental or academic institution, and that tweets containing these domains are retweeted more than those containing domains of reputable sources.
Journal ArticleDOI
How do college students choose mobile health/wellness applications?
Wonchan Choi,Besiki Stvilia +1 more
TL;DR: In terms of application types, calorie and daily activity counters, such as MyFitnessPal and Lose It!, were most popular for the participants in the study, followed by running trackers, Such as Nike+ Running and MapMyRun, and exercise/workout trackers such as Fitness Buddy and Ab Workouts.
Journal ArticleDOI
Communicating about sex when it matters: a content analytic investigation of sexual health information on college student health center websites†
Samantha J. Stanley,Kun Yan,Jian Jiao,Bethany R. Lutovsky,Jennifer Stevens Aubrey,Margaret J. Pitts +5 more
TL;DR: Practical suggestions for SHC webpages to align their sexual health information content with the American College Health Association standards of practice are offered and a scholarly focus on content characteristics and information availability is pointed to to complement information seeking studies.
Book ChapterDOI
Exploring Trust to Rank Reputation in Microblogging
TL;DR: The main contribution is to provide a new methodology to Rank Reputation in a network structure based on weighted social interaction that can guide Internet users to encounter authority and trustworthy sources of online health and medical information in Twittershpere.
References
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Journal ArticleDOI
Multivariate Data Analysis
TL;DR: In this paper, a six-step framework for organizing and discussing multivariate data analysis techniques with flowcharts for each is presented, focusing on the use of each technique, rather than its mathematical derivation.
Journal ArticleDOI
Multivariate data analysis
TL;DR: This chapter discusses Structural Equation Modeling: An Introduction, and SEM: Confirmatory Factor Analysis, and Testing A Structural Model, which shows how the model can be modified for different data types.
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Protocol Analysis: Verbal Reports as Data.
TL;DR: This article reviewed major advances in verbal reports over the past decade, including new evidence on how giving verbal reports affects subjects' cognitive processes, and on the validity and completeness of such reports.
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