Format:
1 Online-Ressource (172 Seiten)
ISBN:
9783031182532
Series Statement:
Lecture Notes in Computer Science 13545
Content:
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.
Content:
This book constitutes the refereed proceedings of the 4th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2022, held in October 2022. 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.
Additional Edition:
ISBN 9783031182525
Additional Edition:
ISBN 9783031182549
Additional Edition:
Erscheint auch als Druck-Ausgabe MISDOOM (4. : 2022 : Boise, Idaho) Disinformation in open online media Cham, Switzerland : Springer, 2022 ISBN 9783031182525
Additional Edition:
ISBN 3031182529
Language:
English
Keywords:
Social Media
;
Fehlinformation
;
Soziales Netzwerk
;
Informationsmanagement
;
Konferenzschrift
DOI:
10.1007/978-3-031-18253-2
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