Twitter Bots and the Swedish Election
In this chapter, we present a study of how political Twitter bots were used before the Swedish general election in 2018. We have not restricted our study to bots that are a software program instead, we are interested in any type of bot-like automated beha
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Mohammad A. Tayebi Uwe Glässer David B. Skillicorn Editors
Open Source Intelligence and Cyber Crime Social Media Analytics
Lecture Notes in Social Networks Series editors Reda Alhajj, University of Calgary, Calgary, AB, Canada Uwe Glässer, Simon Fraser University, Burnaby, BC, Canada Huan Liu, Arizona State University, Tempe, AZ, USA Rafael Wittek, University of Groningen, Groningen, The Netherlands Daniel Zeng, University of Arizona, Tucson, AZ, USA Advisory Board Charu C. Aggarwal, Yorktown Heights, NY, USA Patricia L. Brantingham, Simon Fraser University, Burnaby, BC, Canada Thilo Gross, University of Bristol, Bristol, UK Jiawei Han, University of Illinois at Urbana-Champaign, Urbana, IL, USA Raúl Manásevich, University of Chile, Santiago, Chile Anthony J. Masys, University of Leicester, Ottawa, ON, Canada Carlo Morselli, School of Criminology, Montreal, QC, Canada
Lecture Notes in Social Networks (LNSN) comprises volumes covering the theory, foundations and applications of the new emerging multidisciplinary field of social networks analysis and mining. LNSN publishes peer-reviewed works (including monographs, edited works) in the analytical, technical as well as the organizational side of social computing, social networks, network sciences, graph theory, sociology, Semantics Web, Web applications and analytics, information networks, theoretical physics, modeling, security, crisis and risk management, and other related disciplines. The volumes are guest-edited by experts in a specific domain. This series is indexed by DBLP. Springer and the Series Editors welcome book ideas from authors. Potential authors who wish to submit a book proposal should contact Christoph Baumann, Publishing Editor, Springer e-mail: [email protected]
More information about this series at http://www.springer.com/series/8768
Mohammad A. Tayebi • Uwe Glässer David B. Skillicorn Editors
Open Source Intelligence and Cyber Crime Social Media Analytics
Editors Mohammad A. Tayebi School of Computing Science Simon Fraser University Burnaby, BC, Canada
Uwe Glässer School of Computing Science Simon Fraser University Burnaby, BC, Canada
David B. Skillicorn School of Computing Queen’s University Kingston, ON, Canada
ISSN 2190-5428 ISSN 2190-5436 (electronic) Lecture Notes in Social Networks ISBN 978-3-030-41250-0 ISBN 978-3-030-41251-7 (eBook) https://doi.org/10.1007/978-3-030-41251-7 © Springer Nature Switzerland AG 2020 Chapter “Automated Text Analysis for Intelligence Purposes: A Psychological Operations Case Study” is licensed under the terms of the Creative Commons Attribution 4.0 International License (http:// creativecommons.org/licenses/by/4.0/). For further details see license information in the chapter. This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or in
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