Department of Computer Science Series of Publications A Report A-2019-4 Understanding Social Media through Large Volume Measurements Ossi Karkulahti Doctoral dissertation, to be presented for public discussion with the permission of the Faculty of Science of the University of Helsinki, in Auditorium PII, Porthania building, on the 9th of October, 2019 at 12 o’clock. University of Helsinki Finland Supervisor Jussi Kangasharju, University of Helsinki, Finland Pre-examiners Mourad Oussalah, University of Oulu, Finland Jari Veijalainen, University of Jyv¨askyl¨a, Finland Opponent Yang Chen, Fudan University, China Custos Jussi Kangasharju, University of Helsinki, Finland Contact information Department of Computer Science P.O. Box 68 (Pietari Kalmin katu 5) FI-00014 University of Helsinki Finland Email address:
[email protected].fi URL: http://cs.helsinki.fi/ Telephone: +358 2941 911 Copyright c 2019 Ossi Karkulahti ISSN 1238-8645 ISBN 978-951-51-5508-5 (paperback) ISBN 978-951-51-5509-2 (PDF) Helsinki 2019 Unigrafia Understanding Social Media through Large Volume Measurements Ossi Karkulahti Department of Computer Science P.O. Box 68, FI-00014 University of Helsinki, Finland ossi.karkulahti@helsinki.fi https://cs.helsinki.fi/Ossi.Karkulahti/ PhD Thesis, Series of Publications A, Report A-2019-4 Helsinki, October 2019, 116 pages ISSN 1238-8645 ISBN 978-951-51-5508-5 (paperback) ISBN 978-951-51-5509-2 (PDF) Abstract The amount of user-generated web content has grown drastically in the past 15 years and many social media services are exceedingly popular nowa- days. In this thesis we study social media content creation and consumption through large volume measurements of three prominent social media ser- vices, namely Twitter, YouTube, and Wikipedia.