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Shutsko, Aliaksandra Korea Institute of Science and Technology Informat 2022 Journal of Information Science Theory and Practice Vol.10 No.4
Since older people are traditionally considered disadvantaged when it comes to Internet use, it is useful to examine whether older individuals use the Internet for health information seeking (HIS). This study aims to investigate digital inequalities in terms of Internet use by older population for HIS in the European region. As methods, we applied secondary data analysis (of Eurostat data) to investigate the influence of age, educational level, sex, and countries' wealth. Cluster analysis combined with multidimensional scaling was used to find out those countries exhibiting similarities in older people's online HIS. The main results are: Older individuals do not equally use the Internet in general and for HIS in particular. Older Internet users with higher level of education and of the female sex are more likely to use the Internet for health information.
Aliaksandra Shutsko 한국과학기술정보연구원 2022 Journal of Information Science Theory and Practice Vol.10 No.4
Since older people are traditionally considered disadvantaged when it comes to Internet use, it is useful to examine whether olderindividuals use the Internet for health information seeking (HIS). This study aims to investigate digital inequalities in terms ofInternet use by older population for HIS in the European region. As methods, we applied secondary data analysis (of Eurostat data)to investigate the influence of age, educational level, sex, and countries’ wealth. Cluster analysis combined with multidimensionalscaling was used to find out those countries exhibiting similarities in older people’s online HIS. The main results are: Olderindividuals do not equally use the Internet in general and for HIS in particular. Older Internet users with higher level of educationand of the female sex are more likely to use the Internet for health information.
Clustering Social Media Services and Messengers by Functionality
Fischer, Julia,Knapp, Daniel,Nguyen, Bich Chau,Richter, Daniel,Shutsko, Aliaksandra,Stoppe, Melanie,Williams, Kelly,Ilhan, Aylin,Stock, Wolfgang G. Korea Institute of Science and Technology Informat 2020 Journal of Information Science Theory and Practice Vol.8 No.4
The objective of this research is to analyze which functions make up web-based as well as mobile social media services and messengers. Services are clustered by their functionality. A total of 640 individual functions were identified, while investigating altogether 44 selected services in their web and mobile versions. Applying content analysis, functions were assigned to the services. The services were ranked by the number of implemented functions, and the functions were ranked by their occurrence in the services. Cluster analysis was applied to classify the services according to their functionality. Facebook and VKontakte were found to be the ones with the most functions; the most frequently implemented functions are support, profile, and account-related. Cluster analysis revealed six classes for mobile and seven classes for web applications. There is a noteworthy difference regarding the functionality scope between web and mobile applications of the same services. An example for this is Mendeley with 38 functions in the mobile and 91 functions in the web version. This is the first empirical attempt at clustering social media services based on their functionality.