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Titlebook: Disinformation in Open Online Media; Second Multidiscipli Max van Duijn,Mike Preuss,Suzan Verberne Conference proceedings 2020 Springer Nat

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Systems Biology of Marine Ecosystemsical discussions on YouTube, this study uses metrics such as F1-score, precision and recall to compare the quality of performance of different approaches. First results show that deep neural networks outperform multiclass prediction with small datasets in contrast to traditional machine learning models with word embeddings.
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How Fake News Affect Trust in the Output of a Machine Learning System for News Curation,pearing in a trustworthy context. The results also show the limitations of users’ abilities to rate the recommendations of a news curation system. We discuss the implications of this for the user experience of interactive machine learning systems.
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Multi-modal Analysis of Misleading Political News,. Our findings show that hyperpartisan news sources are more likely to spread misleading stories than other sources and that it is not necessary to read news body content to assess its validity, but considering other modalities such as headlines, visual content, and publisher bias can achieve better performances.
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Conference proceedings 2020g 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..
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https://doi.org/10.1007/978-3-030-61841-4artificial intelligence; computer security; computer vision; cryptography; image processing; information
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