A graph neural network approach to detect original review spammers of astroturfing campaigns
出版年份 2023 全文链接
标题
A graph neural network approach to detect original review spammers of astroturfing campaigns
作者
关键词
-
出版物
Electronic Commerce Research and Applications
Volume 62, Issue -, Pages 101326
出版商
Elsevier BV
发表日期
2023-10-13
DOI
10.1016/j.elerap.2023.101326
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Detecting collusive spammers with heterogeneous graph attention network
- (2023) Fuzhi Zhang et al. INFORMATION PROCESSING & MANAGEMENT
- Mining longitudinal user sessions with deep learning to extend the boundary of consumer priming
- (2022) Li-Chen Cheng et al. DECISION SUPPORT SYSTEMS
- A deep learning approach for detecting fake reviewers: Exploiting reviewing behavior and textual information
- (2022) Dong Zhang et al. DECISION SUPPORT SYSTEMS
- The Effect of Class Imbalance on Precision-Recall Curves
- (2021) Christopher K. I. Williams NEURAL COMPUTATION
- SC-Com: Spotting Collusive Community in Opinion Spam Detection
- (2021) Hyungho Byun et al. INFORMATION PROCESSING & MANAGEMENT
- Fake online reviews: Literature review, synthesis, and directions for future research
- (2020) Yuanyuan Wu et al. DECISION SUPPORT SYSTEMS
- Graph-based prediction of Protein-protein interactions with attributed signed graph embedding
- (2020) Fang Yang et al. BMC BIOINFORMATICS
- ColluEagle: collusive review spammer detection using Markov random fields
- (2020) Zhuo Wang et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Fraud detection: A systematic literature review of graph-based anomaly detection approaches
- (2020) Tahereh Pourhabibi et al. DECISION SUPPORT SYSTEMS
- Improving author verification based on topic modeling
- (2019) Nektaria Potha et al. Journal of the Association for Information Science and Technology
- Linguistic data mining with complex networks: A stylometric-oriented approach
- (2019) Tomasz Stanisz et al. INFORMATION SCIENCES
- A framework for fake review detection in online consumer electronics retailers
- (2019) Rodrigo Barbado et al. INFORMATION PROCESSING & MANAGEMENT
- A survey on fake news and rumour detection techniques
- (2019) Alessandro Bondielli et al. INFORMATION SCIENCES
- Opinion spam detection by incorporating multimodal embedded representation into a probabilistic review graph
- (2019) Yuanchao Liu et al. NEUROCOMPUTING
- A Topic Drift Model for authorship attribution
- (2018) Min Yang et al. NEUROCOMPUTING
- Detecting Spammer Groups From Product Reviews: A Partially Supervised Learning Model
- (2018) Lu Zhang et al. IEEE Access
- Detecting Deceptive Opinions: Intra and Cross-Domain Classification Using an Efficient Representation
- (2017) Leticia C. Cagnina et al. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS
- Document representation and feature combination for deceptive spam review detection
- (2017) Luyang Li et al. NEUROCOMPUTING
- What Online Reviewer Behaviors Really Matter? Effects of Verbal and Nonverbal Behaviors on Detection of Fake Online Reviews
- (2016) Dongsong Zhang et al. JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
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