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An Introduction to Social Semantic Web Mining & Big Data Analytics for Political Attitudes and Mentalities Research

[journal article]

Schatten, Markus; Ševa, Jurica; Okreša-Đurić, Bogdan

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Abstract The social web has become a major repository of social and behavioral data that is of exceptional interest to the social science and humanities research community. Computer science has only recently developed various technologies and techniques that allow for harvesting, organizing and analyzing such data and provide knowledge and insights into the structure and behavior or people on-line. Some of these techniques include social web mining, conceptual and social network analysis and modeling, tag clouds, topic maps, folksonomies, complex network visualizations, modeling of processes on networks, agent based models of social network emergence, speech recognition, computer vision, natural language processing, opinion mining and sentiment analysis, recommender systems, user profiling and semantic wikis. All of these techniques are briefly introduced, example studies are given and ideas as well as possible directions in the field of political attitudes and mentalities are given. In the end challenges for future studies are discussed.
Keywords web 2.0; political attitude; visualization; data; statistical analysis; text analysis; algorithm; social media; digital media
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods; Interactive, electronic Media; Political Process, Elections, Political Sociology, Political Culture
Free Keywords Social Web; Web mining; Semantic web; Big data analytics
Document language English
Publication Year 2015
Page/Pages p. 40-62
Journal European Quarterly of Political Attitudes and Mentalities, 4 (2015) 1
Issue topic Political culture
ISSN 2285-4916
Status Published Version; peer reviewed
Licence Creative Commons - Attribution-Noncommercial-No Derivative Works