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221107 ||| eng |
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|a 9783031182532
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| 100 |
1 |
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|a Spezzano, Francesca
|e [editor]
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| 245 |
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|a Disinformation in Open Online Media
|h Elektronische Ressource
|b 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11–12, 2022, Proceedings
|c edited by Francesca Spezzano, Adriana Amaral, Davide Ceolin, Lisa Fazio, Edoardo Serra
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2022, 2022
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| 300 |
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|a XIX, 155 p. 51 illus., 44 illus. in color
|b online resource
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| 505 |
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|a 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
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| 653 |
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|a Computer networks
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| 653 |
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|a Computer Engineering and Networks
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| 653 |
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|a Computer engineering
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| 700 |
1 |
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|a Amaral, Adriana
|e [editor]
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| 700 |
1 |
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|a Ceolin, Davide
|e [editor]
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| 700 |
1 |
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|a Fazio, Lisa
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Lecture Notes in Computer Science
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| 028 |
5 |
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|a 10.1007/978-3-031-18253-2
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-031-18253-2?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 004.6
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| 082 |
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|a 621.39
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| 520 |
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|a 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
|