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Review Papers | Computer Science | Saudi Arabia | Volume 11 Issue 2, February 2022
Rumor Detection Using Machine Learning in Social Media: A Survey
Afnan Alsadhan | Monirah Al-Ajlan | Mehmet Sabih Aksoy [2]
Abstract: The anonymous nature of social media plays a significant role in spreading rumors online. False rumors negatively affect communities and effective rumor detection techniques help in limiting such harm. Rumor detection has received substantial interest and several researchers have addressed rumor detection using various machine learning approaches namely classical machine learning and deep learning. This paper sheds light upon the current state of rumor detection in social media focusing on the techniques used as well as dataset.
Keywords: rumor detection, machine learning, deep learning, social media
Edition: Volume 11 Issue 2, February 2022,
Pages: 854 - 860
Rumor Detection Using Machine Learning in Social Media: A Survey
How to Cite this Article?
Afnan Alsadhan, Monirah Al-Ajlan, Mehmet Sabih Aksoy, "Rumor Detection Using Machine Learning in Social Media: A Survey", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR22216030249, Volume 11 Issue 2, February 2022, 854 - 860, #ijsrnet
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