Disinformation in Open Online Media
Springer International Publishing (Verlag)
978-3-031-18252-5 (ISBN)
The 7 full papers and 3 short papers were carefully reviewed and selected from 17 full/short paper submissions. The papers focus on health and climate change misinformation, social bots and comment moderation, information seeking and diffusion, misinformation detection, and user perception-based trust models.
User Perception Based Trust Model of Online Sources: A Case Study of Misinformation on COVID-19.- Using Artificial Neural Networks to Identify COVID-19 Misinformation.- Tracing Political Positioning of Dutch Newspapers.- Digital Information Seeking and Sharing Behavior During the COVID-19 Pandemic in Pakistan.- Investigating the Validity of Botometer-based Social Bot Studies.- New Automation for Social Bots: From Trivial Behavior to AI-Powered Communication.- Moderating the Good, the Bad, and the Hateful: Moderators' Attitudes towards ML-based Comment Moderation Support Systems.- Advancing the use of information compression distances in authorship attribution.- Discourses of Climate Delay in American Reddit Discussions.- Incremental Machine Learning for Text Classification in Comment Moderation Systems.
| Erscheinungsdatum | 05.10.2022 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XIX, 155 p. 51 illus., 44 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 278 g |
| Themenwelt | Informatik ► Weitere Themen ► Hardware |
| Schlagworte | Applications • Computer Science • conference proceedings • Informatics • Research |
| ISBN-10 | 3-031-18252-9 / 3031182529 |
| ISBN-13 | 978-3-031-18252-5 / 9783031182525 |
| Zustand | Neuware |
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