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.
Inhaltsverzeichnis
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.
