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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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樓主: 萬靈藥
11#
發(fā)表于 2025-3-23 13:34:37 | 只看該作者
Step 1: System Project Selection its use for misinformation campaigns. We analyze more than 40K audio messages shared in over 364 publicly accessible groups in Brazil, covering six months of great social mobilization in the country. We identify the presence of misinformation in these audios by relying on previously checked facts.
12#
發(fā)表于 2025-3-23 14:15:59 | 只看該作者
Justin Newberg,Juchang Hua,Robert F. Murphyy countries, including Slovakia. Despite the influence ascribed to such websites, their transparency and accountability remain an issue in most cases, with published work on mapping the administrators and connections of untrustworthy websites remaining limited. This article contributes to this body
13#
發(fā)表于 2025-3-23 21:20:55 | 只看該作者
Justin Newberg,Juchang Hua,Robert F. Murphyrocess from submission to publication. What was initially meant to strengthen public debates and democracy turned out to suffer from abusive use: Be it insulting journalists, posting misinformation, or pure hate. While many publishers and journalists are eager to create an engaged audience, user-gen
14#
發(fā)表于 2025-3-23 23:39:56 | 只看該作者
15#
發(fā)表于 2025-3-24 03:59:49 | 只看該作者
The Explanatory Gap in Algorithmic News Curation, 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
16#
發(fā)表于 2025-3-24 09:36:58 | 只看該作者
17#
發(fā)表于 2025-3-24 14:42:45 | 只看該作者
Identifying Topical Shifts in Twitter Streams: An Integration of Non-negative Matrix Factorisation,on 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
18#
發(fā)表于 2025-3-24 18:54:42 | 只看該作者
Is YouTube Still a Radicalizer? An Exploratory Study on Autoplay and Recommendation,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
19#
發(fā)表于 2025-3-24 22:36:29 | 只看該作者
Understanding the Impact of and Analysing Fake News About COVID-19 in SA,coronavirus disease 2019 (COVID-19) started, thus introducing controversy regarding its origin, conspiracies about 5G causing COVID-19 and COVID-19 home remedies or prevention methods. This information may be harmless, or could potentially pose a threat by misleading the population to depend on unju
20#
發(fā)表于 2025-3-25 02:44:01 | 只看該作者
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