Word Frequency Analysis of Community Reaction to Religious Violence on Social Media

Senbel, Samah; Seigel, Carly; Bryan, Emily

doi:10.1007/978-3-030-80119-9_39

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…Social media platforms are often bombarded with fake religious content [93; 94; 95] to create panic among the people. There have been numerous attempts to alter the religious content [96; 97; 98; 99] and spread the fake information [100] by sharing tampered verses through different media outlets. Hence, detecting the fake religious content which can be in different languages such as Arabic [101], Portuguese [102], Persian, Chinese etc, is one of the future research direction that needs to be addressed.…”

Section: Detection Of Online Religious Contentmentioning

confidence: 99%

Detecting and Mitigating the Dissemination of Fake News: Challenges and Future Research Opportunities

Shahid

Jamshidi

Hakak

et al. 2024

IEEE Trans. Comput. Soc. Syst.

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Fake news is a major threat to democracy (e.g., influencing public opinion), and its impact cannot be understated particularly in our current socially and digitally connected society. The research community from different disciplines (e.g., computer science, political science, information science, and linguistics) have also studied the dissemination, detection and mitigation of fake news, however it remains challenging to detect and prevent the dissemination of fake news in practice. With AI powered systems, its highly crucial to understand the detector's decision of fake news by means of proper user-friendly explanations when it comes to social media. Hence, in this paper, we systematically survey existing state-of-the-art approaches designed to detect and mitigate the dissemination of fake news, and based on the analysis, we discuss several key challenges and present potential future research agenda specially incorporating AI explainable Fake news credibility system.

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Section: Detection Of Online Religious Contentmentioning

confidence: 99%