PLAYS 发表于 2025-3-28 15:01:35

Systems Collaboration and Integration does the audience engage with mis- and dis-information?, and (3) What feedback do users provide? These patterns and insights can be leveraged to develop better strategies to improve media literacy and informed engagement with crowd-sourced information like social news.

anatomical 发表于 2025-3-28 22:07:30

http://reply.papertrans.cn/29/2814/281345/281345_42.png

低位的人或事 发表于 2025-3-28 23:36:19

http://reply.papertrans.cn/29/2814/281345/281345_43.png

olfction 发表于 2025-3-29 03:47:12

Barrett S. Caldwell,P. U. Grouperopic group analysis and Twitter-Youtube networks, we also show that all of the campaigns originated in similar communities. This informs future work focused on the cross-platform and cross-network nature of these conversations with an eye toward how that may improve our ability to classify the intent and effect of various campaigns.

Affection 发表于 2025-3-29 09:28:40

http://reply.papertrans.cn/29/2814/281345/281345_45.png

心胸开阔 发表于 2025-3-29 15:04:16

http://reply.papertrans.cn/29/2814/281345/281345_46.png

新奇 发表于 2025-3-29 19:17:54

https://doi.org/10.1007/978-3-030-33312-6 training the model, we construct a million scale dataset of news articles, which we also release for broader research use. Based on the results of a focus group interview, we discuss the importance of developing an interpretable AI agent for the design of a better interface for mitigating the effects of online misinformation.

Dysarthria 发表于 2025-3-29 22:36:52

Pretending Positive, Pushing False: Comparing Captain Marvel Misinformation Campaignsopic group analysis and Twitter-Youtube networks, we also show that all of the campaigns originated in similar communities. This informs future work focused on the cross-platform and cross-network nature of these conversations with an eye toward how that may improve our ability to classify the intent and effect of various campaigns.

terazosin 发表于 2025-3-30 02:16:49

http://reply.papertrans.cn/29/2814/281345/281345_49.png

Ganglion-Cyst 发表于 2025-3-30 07:31:31

Developing a Model to Measure Fake News Detection Literacy of Social Media Usersis empirically tested by applying correlation analyses based on a sample of . = 96. The updated construct provides a way to measure fake news detection literacy and offers various avenues for further research that are discussed at the end of the chapter.
页: 1 2 3 4 [5] 6
查看完整版本: Titlebook: Disinformation, Misinformation, and Fake News in Social Media; Emerging Research Ch Kai Shu,Suhang Wang,Huan Liu Book 2020 Springer Nature