Machine Learning-Based Detection and Categorization of Malicious Accounts on Social Media-Reference-Cited by-同舟云学术

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Machine Learning-Based Detection and Categorization of Malicious Accounts on Social Media

Published:2024 Issue: Volume: Page:328-337
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Bhattacharyya Ajay^ORCID,Kulkarni Adita^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-61281-7_23

Reference25 articles.

1. Digital 2023 global overview report. https://wearesocial.com/wp-content/uploads/2023/03/Digital-2023-Global-Overview-Report.pdf

2. Federal trade commission report 2023. https://www.ftc.gov/news-events/data-visualizations/data-spotlight/2023/10/social-media-golden-goose-scammers#1

3. Gensim. https://radimrehurek.com/gensim/models/word2vec.html

4. Alharbi, A., Dong, H., Yi, X., Tari, Z., Khalil, I.: Social media identity deception detection: a survey. ACM Comput. Surv. (CSUR) 54(3), 1–35 (2021)

5. Aljabri, M., Zagrouba, R., Shaahid, A., Alnasser, F., Saleh, A., Alomari, D.M.: Machine learning-based social media bot detection: a comprehensive literature review. Soc. Netw. Anal. Min. 13(1), 20 (2023)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detecting Fake Accounts on Social Media Portals—The X Portal Case Study;Electronics;2024-06-28

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