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Disinformation in Open Online Media = Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Disinformation in Open Online Media/ edited by Max van Duijn, Mike Preuss, Viktoria Spaiser, Frank Takes, Suzan Verberne.
其他題名:	Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings /
其他作者:	Verberne, Suzan.
面頁冊數:	X, 277 p. 102 illus., 61 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer Systems Organization and Communication Networks. -
電子資源:	https://doi.org/10.1007/978-3-030-61841-4
ISBN:	9783030618414

Disinformation in Open Online Media = Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings /
Disinformation in Open Online MediaSecond Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings /[electronic resource] :edited by Max van Duijn, Mike Preuss, Viktoria Spaiser, Frank Takes, Suzan Verberne. - 1st ed. 2020. - X, 277 p. 102 illus., 61 illus. in color.online resource. - Information Systems and Applications, incl. Internet/Web, and HCI ;12259. - Information Systems and Applications, incl. Internet/Web, and HCI ;9149.

Checkworthiness in Automatic Claim Detection Models: Definitions and Analysis of Datasets -- How Fake News Affect Trust in the Output of a Machine Learning System for News Curation -- A Dip Into a Deep Well: Online Political Advertisements, Valence, and European Electoral Campaigning -- Misinformation from Chinese Web-based Newspapers? Machine Computational Analysis of Metabolic Disease Burden -- Students Assessing Digital News and Misinformation -- Defend Your Enemy. A Qualitative Study on Defending Political Opponents Against Hate Speech Online -- Automatically Identifying Political Ads on Facebook: Towards Understanding of Manipulation via User Targeting -- Identifying Political Sentiments on YouTube: A Systematic Comparison regarding the Accuracy of Recurrent Neural Network and Machine Learning Models -- Abusive Comments in Online Media and How to Fight Them: State of the Domain and a Call to Action -- Fake News Detection on Twitter Using Propagation Structures -- #ArsonEmergency and Australia's "Black Summer": Polarisation and Misinformation on Social Media -- How Identity and Uncertainty Affect Online Social Influence: An Agent-Based Approach -- Do Online Trolling Strategies Differ in Political and Interest Forums: Early Results -- On the Robustness of Rating Aggregators Against Injection Attacks -- FakeYou! - A Gamified Approach for Building and Evaluating Resilience Against Fake News -- Combating Disinformation: Effects of Timing and Correction Format on Factual Knowledge and Personal Beliefs -- Near Real-Time Detection of Misinformation on Online Social Networks -- Multi-modal Analysis of Misleading Political News.

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.

ISBN: 9783030618414

Standard No.: 10.1007/978-3-030-61841-4doiSubjects--Topical Terms:

669309
Computer Systems Organization and Communication Networks.

LC Class. No.: QA75.5-76.95

Dewey Class. No.: 005.7

Disinformation in Open Online Media = Second Multidisciplinary International Symposium, MISDOOM 2020, Leiden, The Netherlands, October 26–27, 2020, Proceedings /
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