Disinformation in Open Online Media
Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings
Editors: van Duijn, M., Preuss, M., Spaiser, V., Takes, F., Verberne, S. (Eds.)
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- About this book
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Chapters “Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models”, “Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results” and “Students Assessing Digital News and Misinformation” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
- Table of contents (18 chapters)
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Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets
Pages 1-17
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How Fake News Affect Trust in the Output of a Machine Learning System for News Curation
Pages 18-36
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A Dip into a Deep Well: Online Political Advertisements, Valence, and European Electoral Campaigning
Pages 37-51
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Misinformation from Web-based News Media? Computational Analysis of Metabolic Disease Burden for Chinese
Pages 52-62
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Students Assessing Digital News and Misinformation
Pages 63-79
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Table of contents (18 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Disinformation in Open Online Media
- Book Subtitle
- Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings
- Editors
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- Max van Duijn
- Mike Preuss
- Viktoria Spaiser
- Frank Takes
- Suzan Verberne
- Series Title
- Information Systems and Applications, incl. Internet/Web, and HCI
- Series Volume
- 12259
- Copyright
- 2020
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer Nature Switzerland AG
- eBook ISBN
- 978-3-030-61841-4
- DOI
- 10.1007/978-3-030-61841-4
- Softcover ISBN
- 978-3-030-61840-7
- Edition Number
- 1
- Number of Pages
- X, 277
- Number of Illustrations
- 51 b/w illustrations, 61 illustrations in colour
- Topics
