Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11193)
Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)
Conference series link(s): INSCI: International Conference on Internet Science
Conference proceedings info: INSCI 2018.
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Table of contents (23 papers)
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Front Matter
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Risks on the Internet: Detecting Harmful Content and Discussing Regulation
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Front Matter
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Methodologies for Studies of Online Audiences
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Front Matter
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Online Media and Public Issues
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Front Matter
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About this book
This book constitutes the proceedings of the 5th International Conference on Internet Science held in St. Petersburg, Russia, in October 2018.
The 23 papers presented were carefully reviewed and selected for inclusion in this volume. They were organized in topical sections named: risks on the Internet: detecting harmful content and discussing regulation; methodologies for studies of online audiences; and online media and public issues.
Editors and Affiliations
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School of Journalism and Mass Communications, Saint Petersburg State University, St. Petersburg, Russia
Svetlana S. Bodrunova
Bibliographic Information
Book Title: Internet Science
Book Subtitle: 5th International Conference, INSCI 2018, St. Petersburg, Russia, October 24–26, 2018, Proceedings
Editors: Svetlana S. Bodrunova
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-030-01437-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2018
Softcover ISBN: 978-3-030-01436-0Published: 25 September 2018
eBook ISBN: 978-3-030-01437-7Published: 17 October 2018
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XIII, 313
Number of Illustrations: 54 b/w illustrations
Topics: Information Systems Applications (incl. Internet), Information Storage and Retrieval, Computer Appl. in Social and Behavioral Sciences, Computers and Society, Artificial Intelligence, Systems and Data Security