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Titlebook: Disinformation in Open Online Media; 5th Multidisciplinar Davide Ceolin,Tommaso Caselli,Marina Tulin Conference proceedings 2023 The Editor

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发表于 2025-3-21 16:43:45 | 显示全部楼层 |阅读模式
书目名称Disinformation in Open Online Media
副标题5th Multidisciplinar
编辑Davide Ceolin,Tommaso Caselli,Marina Tulin
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Disinformation in Open Online Media; 5th Multidisciplinar Davide Ceolin,Tommaso Caselli,Marina Tulin Conference proceedings 2023 The Editor
描述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 19 submissions. The papers focus on misinformation, disinformation, hate speech, disinformation campaigns, social network analysis, large language models, generative AI, and multi-modal embeddings..
出版日期Conference proceedings 2023
关键词artificial intelligence; computer networks; misinformation; computer security; disinformation; correlatio
版次1
doihttps://doi.org/10.1007/978-3-031-47896-3
isbn_softcover978-3-031-47895-6
isbn_ebook978-3-031-47896-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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The Commonwealth Of The Bahamas,e most unusual interactions. We apply our framework to two Twitter datasets, the Russian Internet Research Agency (IRA), and long-term discussions on Data Science topics. The results demonstrate our framework’s ability to isolate unusual activity from expected normal behavior and provide valuable insights for further qualitative investigation.
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,ChatGPT as a Commenter to the News: Can LLMs Generate Human-Like Opinions?,with none of the used prompting methods performing noticeably better. We further analyzed that human comments consistently showed higher lexical diversity than GPT-generated comments. This indicates that although generative LLMs can generate fluent text, their capability to create human-like opinionated comments is still limited.
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,Is Foreign Language News More or Less Credible Than Native Language News? Examining the Foreign Lan the foreign language article. Participants with a low need for cognition perceived the foreign news article as similarly credible as compared to the native news. The language condition did not affect emotional responses.
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,The Effect of Misinformation Intervention: Evidence from Trump’s Tweets and the 2020 Election,ubsequent flow of misinformation about the election, we find that in a number of instances content moderation reduced the flow of social media misinformation. We estimate that Twitter’s actions, on the universe of tweets we study in our paper, reduced the flow of misinformation on Twitter by approximately 15%.
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