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Disinformation in open online media ...
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Multidisciplinary International Symposium on Disinformation in Open Online Media (2022 :)
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Disinformation in open online media = 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11-12, 2022 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Disinformation in open online media/ edited by Francesca Spezzano ... [et al.].
其他題名:
4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11-12, 2022 : proceedings /
其他題名:
MISDOOM 2022
其他作者:
Spezzano, Francesca.
團體作者:
Multidisciplinary International Symposium on Disinformation in Open Online Media
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xix, 155 p. :ill. (chiefly color), digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Social media - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-031-18253-2
ISBN:
9783031182532
Disinformation in open online media = 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11-12, 2022 : proceedings /
Disinformation in open online media
4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11-12, 2022 : proceedings /[electronic resource] :MISDOOM 2022edited by Francesca Spezzano ... [et al.]. - Cham :Springer International Publishing :2022. - xix, 155 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes in computer science,135450302-9743 ;. - Lecture notes in computer science ;13545..
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.
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.
ISBN: 9783031182532
Standard No.: 10.1007/978-3-031-18253-2doiSubjects--Topical Terms:
3166449
Social media
--Congresses.
LC Class. No.: HM851 / .M858 2022
Dewey Class. No.: 302.231
Disinformation in open online media = 4th Multidisciplinary International Symposium, MISDOOM 2022, Boise, ID, USA, October 11-12, 2022 : proceedings /
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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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