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Titlebook: Disinformation in Open Online Media; Third Multidisciplin Jonathan Bright,Anastasia Giachanou,Alexandra Pavl Conference proceedings 2021 Sp

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發(fā)表于 2025-3-21 17:48:50 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Disinformation in Open Online Media
副標(biāo)題Third Multidisciplin
編輯Jonathan Bright,Anastasia Giachanou,Alexandra Pavl
視頻videohttp://file.papertrans.cn/282/281342/281342.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Disinformation in Open Online Media; Third Multidisciplin Jonathan Bright,Anastasia Giachanou,Alexandra Pavl Conference proceedings 2021 Sp
描述This book constitutes the refereed proceedings of the Third Multidisciplinary International Symposium on Disinformation in Open Online Media, MISDOOM 2021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic.. The 9 full papers were carefully reviewed and selected from 27 submissions. The papers focus on health misinformation, hate speech, misinformation diffusion, news spreading behaviour and mitigation, harm-aware news recommender systems.
出版日期Conference proceedings 2021
關(guān)鍵詞artificial intelligence; computer networks; computer science; computer security; computer systems; comput
版次1
doihttps://doi.org/10.1007/978-3-030-87031-7
isbn_softcover978-3-030-87030-0
isbn_ebook978-3-030-87031-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

書目名稱Disinformation in Open Online Media影響因子(影響力)




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978-3-030-87030-0Springer Nature Switzerland AG 2021
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Conference proceedings 20212021, held in September 2021. The conference was held virtually due to the COVID-19 pandemic.. The 9 full papers were carefully reviewed and selected from 27 submissions. The papers focus on health misinformation, hate speech, misinformation diffusion, news spreading behaviour and mitigation, harm-aware news recommender systems.
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Wissenschaftliche Grundlagen der Medizin, examines how well different explanations help expert users understand why certain news stories are recommended to them. The expert users were journalists, who are trained to judge the relevance of news. Surprisingly, none of the explanations are perceived as helpful. Our investigation provides a fi
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https://doi.org/10.1007/978-3-322-87233-3on the social media platform Twitter. For the topic modelling, we compare Latent Dirichlet Allocation and Non-negative Matrix Factorization in terms of their applicability to short text documents. The extraction of sentiment is done by the rule-based VADER model. Structural breaks in the relative fr
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Professional Masters (Business)d to as “radicalizer” in the past, as it was considered to lead towards more extremist content. By an automated data collection through browser remote control, we simulate different usage scenarios (allowing and disallowing autoplay) with personalized accounts as well as with anonymous users. This l
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