SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter

Ying Ying Chang, Wei Yao Wang, Wen Chih Peng

研究成果: Conference contribution同行評審

摘要

In the dynamic and rapidly evolving world of social media, detecting anomalous users has become a crucial task to address malicious activities such as misinformation and cyberbullying. As the increasing number of anomalous users improves the ability to mimic normal users and evade detection, existing methods only focusing on bot detection are ineffective in terms of capturing subtle distinctions between users. To address these challenges, we proposed SeGA, preference-aware self-contrastive learning for anomalous user detection, which leverages heterogeneous entities and their relations in the Twittersphere to detect anomalous users with different malicious strategies. SeGA utilizes the knowledge of large language models to summarize user preferences via posts. In addition, integrating user preferences with prompts as pseudo-labels for preference-aware self-contrastive learning enables the model to learn multifaceted aspects for describing the behaviors of users. Extensive experiments on the proposed TwBNT benchmark demonstrate that SeGA significantly outperforms the state-of-the-art methods (+3.5% ∼ 27.6%) and empirically validate the effectiveness of the model design and pre-training strategies. Our code and data are publicly available at https://github.com/ying0409/SeGA.

原文English
主出版物標題Technical Tracks 14
編輯Michael Wooldridge, Jennifer Dy, Sriraam Natarajan
發行者Association for the Advancement of Artificial Intelligence
頁面30-37
頁數8
版本1
ISBN(電子)1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 1577358872, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879, 9781577358879
DOIs
出版狀態Published - 25 3月 2024
事件38th AAAI Conference on Artificial Intelligence, AAAI 2024 - Vancouver, 加拿大
持續時間: 20 2月 202427 2月 2024

出版系列

名字Proceedings of the AAAI Conference on Artificial Intelligence
號碼1
38
ISSN(列印)2159-5399
ISSN(電子)2374-3468

Conference

Conference38th AAAI Conference on Artificial Intelligence, AAAI 2024
國家/地區加拿大
城市Vancouver
期間20/02/2427/02/24

指紋

深入研究「SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter」主題。共同形成了獨特的指紋。

引用此