Evaluating the effectiveness of publishers’ features in fake news detection on social media-Reference-Cited by-同舟云学术

Evaluating the effectiveness of publishers’ features in fake news detection on social media

Published:2022-04-11 Issue:2 Volume:82 Page:2913-2939
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Jarrahi Ali^ORCID,Safari Leila

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-12668-8.pdf

Reference71 articles.

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3. Baly R et al (2018) Predicting factuality of reporting and bias of news media sources. arXiv preprint arXiv:1810.01765

4. Berahmand K et al (2021) A preference random walk algorithm for link prediction through mutual influence nodes in complex networks. J King Saud Univ Comput Inf Sci

5. Bhutani B et al (2019) Fake news detection using sentiment analysis. In: 2019 twelfth international conference on contemporary computing (IC3). IEEE

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