Format:
1 Online-Ressource(X, 277 p. 112 illus., 61 illus. in color.)
Edition:
1st ed. 2020.
ISBN:
9783030618414
Series Statement:
Information Systems and Applications, incl. Internet/Web, and HCI 12259
Content:
Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets -- How Fake News Affect Trust in the Output of a Machine Learning System for News Curation -- A Dip Into a Deep Well: Online Political Advertisements, Valence, and European Electoral Campaigning -- Misinformation from Chinese Web-based Newspapers? Machine Computational Analysis of Metabolic Disease Burden -- Students Assessing Digital News and Misinformation -- Defend Your Enemy. A Qualitative Study on Defending Political Opponents Against Hate Speech Online -- Automatically Identifying Political Ads on Facebook: Towards Understanding of Manipulation via User Targeting -- Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models -- Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action -- Fake News Detection on Twitter Using Propagation Structures -- #ArsonEmergency and Australia's "Black Summer": Polarisation and Misinformation on Social Media -- How Identity and Uncertainty Affect Online Social Influence: An Agent-Based Approach -- Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results -- On the Robustness of Rating Aggregators Against Injection Attacks -- FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News -- Combating Disinformation: Effects of Timing and Correction Format on Factual Knowledge and Personal Beliefs -- Near Real-Time Detection of Misinformation on Online Social Networks -- Multi-modal Analysis of Misleading Political News.
Content:
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.
Additional Edition:
ISBN 9783030618407
Additional Edition:
ISBN 9783030618421
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783030618407
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 9783030618421
Language:
English
DOI:
10.1007/978-3-030-61841-4
Bookmarklink
