Disinformation in Open Online Media : Third Multidisciplinary International Symposium, MISDOOM 2021, Virtual Event, September 21-22, 2021, Proceedings (Information Systems and Applications, incl. Internet/web, and Hci)

個数:

Disinformation in Open Online Media : Third Multidisciplinary International Symposium, MISDOOM 2021, Virtual Event, September 21-22, 2021, Proceedings (Information Systems and Applications, incl. Internet/web, and Hci)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 143 p.
  • 言語 ENG
  • 商品コード 9783030870300
  • DDC分類 302.30285

Full Description

This book constitutes the refereed proceedings of the Third Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic.
The 9 full papers were carefully reviewed and selected from 27 submissions. The papers focus on health misinformation, hate speech, misinformation diffusion, news spreading behaviour and mitigation, harm-aware news recommender systems.

Contents

Russian Disinformation, Five Years Later.- Psychological Inoculation AgainstMisinformation.- Computational Challenges and Recent Advancements in Automated Fake News Detection.- Explanatory Gap in Algorithmic News Curation.- Examining Linguistic Biases in Telegram with a Game Theoretic Analysis.- Identifying Topical Shifts in Twitter Streams: An Integration of Non-Negative Matrix Factorisation, Sentiment analysis and Structural Break Models for Large Scale Data.- Is YouTube still a Radicalizer? An Exploratory Study on Autoplay and Recommendation.- Understanding the Impact of and Analysing Fake News about COVID-19 in South Africa.- A Study of Misinformation in Audio Messages Shared in WhatsApp Groups.- Hide and seek in Slovakia: utilizing tracking code data to uncover untrustworthy website networks.- The German Comment Landscape: A Structured Overview of the Opportunities for Participatory Discourse on News Websites.- Evaluating the Role of News Content and Social Media Interactions for Fake News Detection.

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