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Disinformation in Open Online Media: Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings: Lecture Notes in Computer Science, cartea 12259

Editat de Max van Duijn, Mike Preuss, Viktoria Spaiser, Frank Takes, Suzan Verberne
en Limba Engleză Paperback – 21 oct 2020
Chapters “Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models”, “Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results” and “Students Assessing Digital News and Misinformation” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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Specificații

ISBN-13: 9783030618407
ISBN-10: 3030618404
Pagini: 277
Ilustrații: X, 277 p. 102 illus., 61 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI

Locul publicării:Cham, Switzerland

Cuprins

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.

Textul de pe ultima copertă

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