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

只看該作者 · 發(fā)表于 2025-3-21 17:48:50

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

書目名稱Disinformation in Open Online Media影響因子(影響力)學(xué)科排名

書目名稱Disinformation in Open Online Media網(wǎng)絡(luò)公開度

書目名稱Disinformation in Open Online Media網(wǎng)絡(luò)公開度學(xué)科排名

書目名稱Disinformation in Open Online Media被引頻次

書目名稱Disinformation in Open Online Media被引頻次學(xué)科排名

書目名稱Disinformation in Open Online Media年度引用

書目名稱Disinformation in Open Online Media年度引用學(xué)科排名

書目名稱Disinformation in Open Online Media讀者反饋

書目名稱Disinformation in Open Online Media讀者反饋學(xué)科排名

只看該作者 · 發(fā)表于 2025-3-21 23:04:52

只看該作者 · 發(fā)表于 2025-3-22 04:14:50

978-3-030-87030-0Springer Nature Switzerland AG 2021

只看該作者 · 發(fā)表于 2025-3-22 06:46:20

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.

只看該作者 · 發(fā)表于 2025-3-22 11:31:09

只看該作者 · 發(fā)表于 2025-3-22 16:52:10

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

只看該作者 · 發(fā)表于 2025-3-22 18:23:28

只看該作者 · 發(fā)表于 2025-3-23 00:28:39

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

只看該作者 · 發(fā)表于 2025-3-23 03:07:26

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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