Advertisement

Disinformation in Open Online Media

Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings

  • Max van Duijn
  • Mike Preuss
  • Viktoria Spaiser
  • Frank Takes
  • Suzan Verberne
Conference proceedings MISDOOM 2020

Part of the Lecture Notes in Computer Science book series (LNCS, volume 12259)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 12259)

Table of contents

  1. Front Matter
    Pages i-x
  2. Thomas Nygren, Jenny Wiksten Folkeryd, Caroline Liberg, Mona Guath
    Pages 63-79
  3. Lilian Kojan, Hava Melike Osmanbeyoglu, Laura Burbach, Martina Ziefle, André Calero Valdez
    Pages 80-94
  4. Marco Niemann, Jens Welsing, Dennis M. Riehle, Jens Brunk, Dennis Assenmacher, Jörg Becker
    Pages 122-137
  5. Marion Meyers, Gerhard Weiss, Gerasimos Spanakis
    Pages 138-158
  6. Derek Weber, Mehwish Nasim, Lucia Falzon, Lewis Mitchell
    Pages 159-173
  7. Christina Mason, Peter van der Putten, Max van Duijn
    Pages 174-190
  8. Henna Paakki, Antti Salovaara, Heidi Vepsäläinen
    Pages 191-204 Open Access
  9. Angelo Spognardi, Marinella Petrocchi
    Pages 205-217
  10. Lena Clever, Dennis Assenmacher, Kilian Müller, Moritz Vinzent Seiler, Dennis M. Riehle, Mike Preuss et al.
    Pages 218-232
  11. Lennart van de Guchte, Stephan Raaijmakers, Erik Meeuwissen, Jennifer Spenader
    Pages 246-260
  12. Anu Shrestha, Francesca Spezzano, Indhumathi Gurunathan
    Pages 261-276
  13. Back Matter
    Pages 277-277

About these proceedings

Introduction

This book constitutes the refereed proceedings of the Second Multidisciplinary International Symposium, MISDOOM 2020, held in Leiden, The Netherlands, in October 2020.*

The 18 full papers were carefully reviewed and selected from 23 submissions. The papers deal with the interdisciplinary field of computational social science, and in particular with the automated detection and combat of misinformation using modern techniques from machine learning, text mining, and social network analysis.

* The conference was held virtually due to the COVID-19 pandemic.

Chapters “Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models” and “Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.


Keywords

artificial intelligence computer security computer vision cryptography image processing information retrieval machine learning micro-blog network protocols signal processing social media telecommunication networks twitter World Wide Web

Editors and affiliations

  1. 1.Leiden Institute of Advanced Computer ScienceLeiden UniversityLeidenThe Netherlands
  2. 2.Leiden Institute of Advanced Computer ScienceLeiden UniversityLeidenThe Netherlands
  3. 3.School of Politics and International StudiesUniversity of LeedsLeedsUK
  4. 4.Leiden Institute of Advanced Computer ScienceLeiden UniversityLeidenThe Netherlands
  5. 5.Leiden Institute of Advanced Computer ScienceLeiden UniversityLeidenThe Netherlands

Bibliographic information