UID:
almahu_9949599171702882
Format:
XVI, 191 p. 64 illus., 54 illus. in color.
,
online resource.
Edition:
1st ed. 2023.
ISBN:
9783031478963
Series Statement:
Lecture Notes in Computer Science, 14397
Content:
This book constitutes the refereed proceedings of the 5th Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2023, which was held in Amsterdam, The Netherlands, during November 21-22, 2023. The 13 full papers presented in this book were carefully reviewed and selected from 56 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings.
Note:
Generative AI for Explainable Automated Fact Checking on the FactEx: a New Benchmark Dataset -- Multi-Modal Embeddings for Isolating Cross-Platform Coordinated Information Campaigns on Social Media -- faKy: A Feature Extraction Library to Detect the Truthfulness of a Text -- From sharing misinformation to debunking it: How Coordinated Image Text Sharing Behaviour is used in political campaigns on Facebook -- The Information Disorder Level (IDL) Index: A Human-Based Metric to Assess the Factuality of Machine-Generated Content -- Lost in Transformation: Rediscovering LLM-generated Campaigns in Social Media -- The Effect of Misinformation Intervention: Evidence from Trump's Tweets and the 2020 Election -- Coordinated Information Campaigns on Social Media: A Multifaceted Framework for Detection and Analysis -- Unveiling Truth Amidst the Pandemic: Multimodal Detection of COVID-19 Unreliable News -- Holistic Analysis of Organised Misinformation Activity in Social Networks -- Towards Multimodal Campaign Detection: Including Image Information in Stream Clustering to Detect Social Media Campaigns -- ChatGPT as a commenter to the news: can LLMs generate human-like opinions? -- Is foreign language news more or less credible than native language news? Examining the foreign language effect on credibility perceptions.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031478956
Additional Edition:
Printed edition: ISBN 9783031478970
Language:
English
DOI:
10.1007/978-3-031-47896-3
URL:
https://doi.org/10.1007/978-3-031-47896-3
