Fame for sale: Efficient detection of fake Twitter followers

Cresci, Stefano, Di Pietro, Roberto, Petrocchi, Marinella, Spognardi, Angelo, Tesconi, Maurizio·2015·Decision Support Systems

Cited by (459)

Items 401–459 of 459

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    Mingxing Han, Liwei Xu, Yu Chen · 2024 · SSRN Electronic Journal
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    Chi-Leng Che, Ting-Kai Hwang, Yung-Ming Li · 2024 · Lecture notes in networks and systems
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    Shuhao Shi, Zhengyan Wang, Jian Chen, Kai Qiao, Jie Yang, Bin Yan · 2024 · IEEE International Conference on Acoustics Speech and Signal Processing
  7. Social Media as an Agent of Influence: Twitter Bots in Russia - Ukraine War
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    Yufei Li, Tianhao Chen, Patrick Cheong‐Iao Pang · 2023 · IEEE International Conference on Computer and Communications (ICCC)
  9. Characterizing Online Criticism of Partisan News Media Using Weakly Supervised Learning
    Karthik Shivaram, Mustafa Bilgic, Matthew A. Shapiro · 2024 · Proceedings of the International AAAI Conference on Web and Social Media
  10. Social bots
    Lale Madahali · 2024
  11. Social media influencers as a marketing channel: A taxonomy
    Van Canh Vu · 2024 · Queensland University of Technology
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    R. Rahin Batcha, D. Saravanan, Vijay Ramalingam, T. Ragupathi, Alok Prakash, S. Vignesh, M. Belsam Jeba Ananth, Kavita Arumugam · 2024
  13. Botnet Identification on Twitter: A Novel Clustering Approach Based on Similarity
    Luis Daniel Samper-Escalante, Octavio Loyola‐González, Raúl Monroy, Miguel Angel Medina‐Pérez · 2024 · IEEE Access
  14. Context-Prompt-Align: An Architecture For Few Posts Based Social Bots Detection
    Weibin Yang, Xin Fang, Liangru Xie, Hao Wang, Ruitao Zhang, Yushan Pan, Di Wu · 2024 · IEEE Smart World Congress (SWC)
  15. SSSGT: Silent Spiral Sparse Graph Transformer for Social Bots
    Shan Ting Liu, Zheng He, Guoli Yang · 2025 · Communications in computer and information science
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    Mr. M. KARTHIKEYAN, Binaboina Venkatesh · 2025 · INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
  17. Synthetic Data for Payment Systems: AI-Powered Privacy-Preserving Testing
    Prajwalkumar B Bhatkar · 2025 · European Journal of Computer Science and Information Technology
  18. Detection of LLM-powered bots using image classification
    Edoardo Di Paolo, Marinella Petrocchi, Angelo Spognardi · 2025 · First Monday
  19. A Social Bot Detection Framework based Heterogeneous Graph Attention and Similarity Graph Features
    Di Huang, Jing Song, Xingyu Zhang · 2024 · International Conference on Computer, Internet of Things and Smart City (CIoTSC)
  20. DDFGNN: Dual-Dimensionality Fusion Graph Neural Network for Social Bot Detection
    Yuze Bai, Yingjie Sun, Chengping Zheng, Yizhou Li · 2025 · Lecture notes in computer science
  21. Exploring Writing Style Consistency to Timely Identify Heterogeneous Social Bots
    Sonia Laudanna, Matteo Cardaioli, Andrea Di Sorbo, Corrado Aaron Visaggio, Mauro Conti · 2025 · Lecture notes in social networks
  22. GraphCoarsenFormer: Integrating Transformer with Graph Coarsening for Enhanced Social Bot Detection
    Xinjun Ma, Dong Qiu · 2024 · International Symposium on Computational Intelligence and Design
  23. Adaptive Deep Fuzzy Neural Network With Multi‐Headed Self‐Attention for Improving Performance of Social Network Representation Learning and Link Prediction
    Linh Nguyen Thi My, Vu Nguyen, Tham Vo · 2025 · Concurrency and Computation Practice and Experience
  24. GAA-BD: Graph Adversarial Augmentation-based Social Bot Detection
    Nan Hu, Le Cheng, Botao Wang · 2024 · IEEE International Conference on High Performance Computing and Communications (HPCC)
  25. Control of Information by a Few: Incoordinated behavior of social bots in information dissemination
    Quanxin Jia, Wujiong Ren, Ning Luo, Xiaoke Xu, Lun Zhang, Hongzhong Zhang · 2025 · Research Square
  26. Social Bot Detection via Heterogeneous Graph Learning and Sample Balancing Strategies
    Chenbo Fu, Jianquan Qiu, Feifan Xiong, Yuchen Xiong, Qifan Zhao, Shanqing Yu, Qi Xuan, Yong Min · 2025 · Communications in computer and information science
  27. Sustainable AI in the Cloud-to-Thing Continuum: A Bibliometric Review on Lightweight, Small-Sample, and Federated Learning Approaches
    Sian Lun Lau, Saad Aslam, Amlan Chakrabarti, Jari Porras · 2025 · IEEE Computer Society Annual Symposium on VLSI
  28. SOCIAL MEDIA SYBIL DETECTION IN THE AGE OF AI-GENERATED CONTENT
    Oleh Melnychuk · 2025 · Cybersecurity Education Science Technique
  29. Hybrid harmony: The role of socio-technical system for cross-cultural behavioral variations to profile adversarial resistance
    Amber Sarfraz, Adnan Ahmad, Frukh Zeshan · 2025 · Computers & Security
  30. CAGCL: A Community-Aware Graph Contrastive Learning Model for Social Bot Detection
    Kaihang Wei, Min Teng, Haotong Du · 2025 · ACM International Conference on Information and Knowledge Management (CIKM)
  31. Metadata Suffices: Optimizer-Aware Fake Account Detection with Minimal Multimodal Input
    Ziad Elgammal, Khaled Walid Elgammal, Reda Alhajj · 2025 · Big Data and Cognitive Computing
  32. A Compression-Based Approach to Detecting Automated and Coordinated Behavior on Social Media
    Edoardo Loru, Niccolò Di Marco, Matteo Cinelli, Walter Quattrociocchi · 2025 · ACM Transactions on Knowledge Discovery from Data
  33. The Dark Side of Bot Farms in the Business World: An Ethical and Economic Threat in the Digital Era
    Ari Fajar Santoso, Zafar Khan · 2025 · Bincang Sains dan Teknologi
  34. A Comparative Analysis of Transformer Models in Social Bot Detection
    Rohan Veit, Michael A. Lones · 2026 · Advances in intelligent systems and computing
  35. Feature Selection Techniques for Enhancing Sybil Accounts Detection in Online Social Networks
    Dheeraj Sonkhla · 2025 · Indian Journal of Computer Science
  36. Multi-Layer Stacking Ensemble AutoML Architecture for Social Media Bot Detection using AutoGluon Framework
    Adwitiya Sinha, Bhawna Saxena, Suruchi Sabherwa · 2025
  37. BotSCG: Twitter Bot Detection With Semantic Consistency and Dual-Modulated Graph Learning
    Chunling Wu, Yiling Zhang, Peng Xiong · 2026 · IEEE Access
  38. Multi-classification Approach for Malicious Social Bots Detection Based on Transformers
    Zineb Ellaky, Faouzia Benabbou · 2026 · Communications in computer and information science
  39. Machine Learning-Based Framework for Fake Profile Detection in Social Networks
    Shanthi Makka, M. Lalitha Sriya · 2025 · International Conference on Advancement in Electronics & Communication Engineering (AECE)
  40. HCGBot: Hierarchical Semantic Consistency Modeling with Graph Learning for Twitter Bot Detection
    Yiling Zhang, Chunling Wu, Hui Yu · 2025 · International Conference on Information Science and Education (ICISE-IE)
  41. UEF-CS: A multimodal framework for class-imbalanced social bot detection
    Shibo Zhang, Hongchang Chen, Shuxin Liu, Ran Li, Junjie Zhang · 2026 · Information Sciences
  42. Ethics in influencer marketing: a review, synthesis and research directions
    Devanshi Mehra, Ashish Gupta, Suraksha Gupta, T.C. Melewar, Liz Gee · 2026 · International Journal of Advertising
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    Alireza Esmaili JOBANI, Hakan Burak Emekli · 2026 · AJIT-e Academic Journal of Information Technology
  44. Discouraging abusive behavior in privacy-preserving decentralized online social networks
    Álvaro García-Recuero · 2017
  45. Anti-Abuse Protection of Online Social Networks using Machine Learning
    Nour El-Mawass · 2020
  46. Deriving Business Value From Artificial Intelligence In Business-To-Consumer E-Commerce Firms
    Ransome Epie Bawack · 2021 · theses.fr (ABES)
  47. A Systematic Literature Review: Instagram fake Account Detection Based on Machine Learning
    Sonal Raj, Rupam Kumari, Monika Verma, Gaurav Kumar, Garima Agarwal, Naseem Ahmad Khan · 2026 · International Conference on Advancing Sustainable Solutions through Technologies (ICASST)
  48. Unveiling camouflaged malicious accounts via unsupervised behavior-affinity dual-graph learning
    Zhenyuan Wang, Lixin Ji, Shuxin Liu · 2026 · Journal of King Saud University - Computer and Information Sciences
  49. MB-HGTBot: Modeling Multitype Social Behaviors in Heterogeneous Graphs for Robust Twitter Bot Detection
    Qiang Liu, Wei-Sha Zhang, Jia-Zhong Lu · 2026 · IEEE Transactions on Computational Social Systems
  50. The Evolution of Social Bot Detection: A Comprehensive Survey of Methods, Datasets, and Emerging Challenges
    Aditi Tiwari, Adwitiya Sinha, Sharad Verma · 2026
  51. The Advent of AI-Driven Finfluencers and Automation in Financial Supervision
    T. Venkatesan, Asep Muhamad Ramdan, A. Stephen · 2026 · Journal of Management Studies and Development
  52. Enhancing e-commerce recommendations: A mechanism to detect and mitigate spam reviews
    Bih‐Huang Jin, Yung-Ming Li, Rou-Jyun Chen · 2026 · Electronic Markets
  53. Graph Learning with Dual-Scale High-Order Collusion Perception for Social Media Bot Detection
    Li-e Wang, Yuhang Lu, Linghui Meng · 2026 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
  54. BotCHF: camouflage-heterogeneity-aware fusion for social bot detection
    X Wang, Shuhao Shi, Kai Qiao, Hao Hu, Zihao Liu, Yuxin Zhang, Jihong Han, Bin Yan · 2026 · Journal of King Saud University - Computer and Information Sciences
  55. An Explainable Feature-Based Approach for Understanding Social Bots Behaviour
    Salvador López-Joya, Jose A. Diaz-Garcia, Maria Dolores Ruiz, María José Martín-Bautista · 2026 · Applied System Innovation
  56. Combating web-based fake profiles using optimized LightGBM: an ensemble learning approach using OSEMN framework
    Ahmad Kamal, Lavina Pahuja, Arpit Kumar Sharma · 2026 · Discover Computing
  57. Beyond content: A dual-channel approach for social bot detection via unmasking behavioral sequence camouflage
    Xian-Wei Wang, Hong-Shuo Tian, Haobo Zhang, Jin-Lin Guo, Xian-Zhu Liu, Ning Xu, Lan-Jun Wang · 2026 · Expert systems with applications
  58. Analysis of Multimodal Heterogeneous Graph Transformers for Reconstructing Social Network Structures Based on Open-Source Data
    Azat Abutalifov, Anel Aidos, A. Mukasheva · 2026 · EEPES 2026
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