CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection
Sirry Chen, Shuo Feng, Liang Songsong, Chen-Chen Zong, Jing Li, Piji Li
Abstract
Social media bot detection is increasingly crucial with the rise of social media platforms. Existing methods predominantly construct social networks as graph and utilize graph neural networks (GNNs) for bot detection. However, most of these methods focus on how to improve the performance of GNNs while neglecting the community structure within social networks. Moreover, GNNs based methods still face problems such as poor model generalization due to the relatively small scale of the dataset and over-smoothness caused by information propagation mechanism. To address these problems, we propose the Community-Aware Heterogeneous Graph Contrastive Learning framework (i.e., CACL), which constructs social network as heterogeneous graph with multiple node types and edge types, and then utilizes community-aware module to mine both hard positive samples and hard negative samples for supervised graph contrastive learning with adaptive graph enhancement algorithms. Extensive experiments demonstrate that our framework addresses the previously mentioned challenges and outperforms competitive baselines on three social media bot benchmarks.- Anthology ID:
- 2024.findings-acl.617
- Volume:
- Findings of the Association for Computational Linguistics ACL 2024
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand and virtual meeting
- Editors:
- Lun-Wei Ku, Andre Martins, Vivek Srikumar
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 10349–10360
- Language:
- URL:
- https://aclanthology.org/2024.findings-acl.617
- DOI:
- Cite (ACL):
- Sirry Chen, Shuo Feng, Liang Songsong, Chen-Chen Zong, Jing Li, and Piji Li. 2024. CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection. In Findings of the Association for Computational Linguistics ACL 2024, pages 10349–10360, Bangkok, Thailand and virtual meeting. Association for Computational Linguistics.
- Cite (Informal):
- CACL: Community-Aware Heterogeneous Graph Contrastive Learning for Social Media Bot Detection (Chen et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.findings-acl.617.pdf