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A Profile of Non-Seekers of Health Information Among the United States Foreign-Born Population
Get PDFThis study attempted to uncover the characteristics of health information non-seekers among the United States foreign-born population and identify potential predictors of their non-seeking behavior. The trends of foreign-born health information non-seekers over the past twelve years were also examined. Statistical analysis was conducted with two sets of Health Information National Trends Survey (HINTS) data: HINTS 2 (2005) and HINTS 5 Cycle 1 (2017) datasets. It was found that foreign-born non-seekers differ from foreign-born seekers in terms of a variety of variables including education, income, English proficiency, the uses of Internet and social media, ownership of digital devices, ownership of health insurance, perceived health status, and level of trust in health information sources. Among them, education, Internet use, and trust in online health information were identified as predictors of the foreign-born population’s non-seeking of health information. In addition, three variables - race/ethnicity, age, and place of accessing the Internet - which were significant factors in the 2005 dataset, were no longer significant in the 2017 dataset, implying the possible influence of smartphones that reduces Internet accessibility gaps among different racial/ethnic and age groups
Key Traffic Metrics as a Basis to Measure Library Performance
Get PDFWebometric research in the Russian library sector is just beginning to gain momentum. This article examines the experience of webometric research in libraries from the perspective of the global practice. In particular, it highlights a number of foreign works, which may have a special practical value for Russian libraries, and emphasizes important webometrics areas for libraries. The purpose of this study is to research the practical application of key performance indicators (KPIs) abroad and conduct a webometric analysis of the websites of some leading Siberian and Far Eastern scientific libraries based on selected KPIs. The study data were collected with SimilarWeb and other analytical tools. The study revealed that key traffic metrics are the basis of webometric research, and identified available promising groundwork for the purpose of their further testing. The shortcomings in the current state of the websites of the Siberian and Far Eastern scientific libraries were noted. Based on the obtained webometric traffic indicators, the ranking of the Siberian and Far Eastern scientific libraries was made
N-ary Information Markets: Money, Attention, and Personal Data as Means of Payment
Get PDFOn information markets, we can identify different relations between sellers and their customers, with some users paying with money, some paying with attention, and others paying with their personal data. For the description of these different market relations, this article introduces the notion of arity into the scientific discussion. On unary information markets, customers pay with their money; examples include commercial information suppliers. Binary information markets are characterized by one market side paying with attention (e.g., on the search engine Google) or with personal data (e.g., on most social media services) and the other market side (mainly advertisers) paying with money. Our example of a ternary market is a social media market with the additional market side of influencers. If customers buy on unary markets, they know what to pay (in terms of money). If they pay with attention or with their personal data, they do not know what they have to pay exactly in the end. On n-ary markets (n greater than 1), laws should regulate company’s abuse of money and―which is new―abuse of data streams with the aid of competition (or anti-trust) laws, and by modified data protection laws, which are guided by fair use of end users’ attention and data
