Exploiting abused trending topics to identify spam campaigns in Twitter

Author:

Antonakaki Despoina,Polakis Iasonas,Athanasopoulos Elias,Ioannidis Sotiris,Fragopoulou Paraskevi

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Cited by 15 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. Russo-Ukrainian War: Prediction and explanation of Twitter suspension;Proceedings of the International Conference on Advances in Social Networks Analysis and Mining;2023-11-06

2. A Comprehensive Study to Detect Social Spam Campaigns;Advances in Social Networking and Online Communities;2023-06-09

3. Twitter Spam Accounts Detection Using Machine Learning Models;2022 14th International Conference on Computational Intelligence and Communication Networks (CICN);2022-12-04

4. A Combined Text-Based and Metadata-Based Deep-Learning Framework for the Detection of Spam Accounts on the Social Media Platform Twitter;Processes;2022-02-22

5. A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks;Expert Systems with Applications;2021-02

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