UCred: fusion of machine learning and deep learning methods for user credibility on social media
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-022-00880-1.pdf
Reference35 articles.
1. Alowibdi JS, Buy UA, Yu PS, Ghani S, Mokbel M (2015) Deception detection in twitter. Soc Netw Anal Min 5(32):1–16
2. Cheng Y, Chen ZF (2020) The influence of presumed fake news influence: examining public support for corporate corrective response, media literacy interventions, and governmental regulation. Mass Commun Soc 23(5):705–729
3. Ciampaglia GL, Shiralkar P, Rocha LM, Bollen J, Menczer F, Flammini A (2015) Computational fact checking from knowledge networks. PLOS ONE 10(6):1–13, 06
4. Gravanis G, Vakali A, Diamantaras K, Karadais P (2019) Behind the cues: a benchmarking study for fake news detection. Expert Syst Appl 128:201–213
5. Liu Y, Mu Y, Chen K, Li Y, Guo J (2020) Daily activity feature selection in smart homes based on Pearson correlation coefficient. Neural Process Lett 51:1771–1787
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