DNA-Inspired Online Behavioral Modeling and Its Application to Spambot Detection

Cresci, Stefano, Di Pietro, Roberto, Petrocchi, Marinella, Spognardi, Angelo, Tesconi, Maurizio·2016·IEEE Intelligent Systems

Cited by (195)

Items 101–195 of 195

  1. Hybrid-MELAu: A Hybrid Mixing Engineered Linguistic Features Framework Based on Autoencoder for Social Bot Detection.
    Zineb Ferhat Hamida, Allaoua Refouf, Ahlem Drif, Silvia Giordano · 2022 · Informatica
  2. CALEB: A Conditional Adversarial Learning Framework to enhance bot detection
    Ilias Dimitriadis, George Dialektakis, Athena I. Vakali · 2023 · Data & Knowledge Engineering
  3. The influence of coordinated behavior on toxicity
    Edoardo Loru, Matteo Cinelli, Maurizio Tesconi, Walter Quattrociocchi · 2024 · Online Social Networks and Media
  4. How the tables have turned
    Pujan Paudel, Trung Thanh Nguyen, Amartya Hatua · 2019 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
  5. Semi-supervised internet water army detection based on graph embedding
    Ying He, Pin Yang, Pengsen Cheng · 2022 · Multimedia Tools and Applications
  6. Unmasking the Web of Deceit: Uncovering Coordinated Activity to Expose Information Operations on Twitter
    Luca Luceri, Valeria Pantè, Keith Burghardt, Emilio Ferrara · 2023 · SSRN Electronic Journal
  7. Push-to-Trend: A Novel Framework to Detect Trend Promoters in Trending Hashtags
    Soufia Kausar, Bilal Tahir, Muhammad Amir Mehmood · 2022 · IEEE Access
  8. Twitter Bot Identification: An Anomaly Detection Approach
    Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang‐Tien Lu · 2022 · IEEE International Conference on Big Data (BigData)
  9. From Online Behaviours to Images: A Novel Approach to Social Bot Detection
    Edoardo Di Paolo, Marinella Petrocchi, Angelo Spognardi · 2023 · Lecture notes in computer science
  10. Detecting and Mitigating the Dissemination of Fake News: Challenges and Future Research Opportunities
    Saqib Hakak, Wajiha Shahid, Bahman Jamshidi, Wazir Zada Khan, Muhammad Khurram Khan, Haruna Isah · 2022
  11. Navigating Ambiguities: A Systematic Review and Comparative Analysis of Social Bot Detection Methods in Communication Research
    Xiao Meng, Xiao-Hong Wang, Tai-Quan Peng · 2026 · Communication Methods and Measures
  12. Reinforcement-Learning Based Covert Social Influence Operations
    Saurabh Kumar, Valerio La Gatta, Andrea Pugliese, Andrew Pulver, V. S. Subrahmanian, Jiazhi Zhang, Youzhi Zhang · 2025 · International World Wide Web Conference (WWW)
  13. Emoji-Driven Sentiment Analysis for Social Bot Detection with Relational Graph Convolutional Networks
    Kaqian Zeng, Li Zhao, Xiujuan Wang · 2025 · Sensors
  14. Research on the generalization of social bot detection from two dimensions: feature extraction and detection approaches
    Ziming Zeng, Tingting Li, Jingjing Sun, Shouqiang Sun, Yu Zhang · 2022 · Data Technologies and Applications
  15. Swinging in the States: Does disinformation on Twitter mirror the US presidential election system?
    Manuel Pratelli, Marinella Petrocchi, Fabio Saracco, Rocco De Nicola · 2023 · International World Wide Web Conference (WWW)
  16. A language-based approach to modelling and analysis of Twitter interactions
    Alessandro Maggi, Marinella Petrocchi, Angelo Spognardi, Francesco Tiezzi · 2016 · Journal of Logical and Algebraic Methods in Programming
  17. CrowdGuard: Characterization and Early Detection of Collective Content Polluters in Online Social Networks
    Ke Li, Bin Guo, Qiuyun Zhang, Jianping Yuan, Zhiwen Yu · 2019 · International World Wide Web Conference (WWW)
  18. Identifying Persian bots on Twitter; which feature is more important: Account Information or Tweet Contents?
    Mojtaba Mazoochi, Nasrin Asadi, Farzaneh Rahmani, Leila Rabiei · 2023 · Sharq.
  19. Semantically-Aware Statistical Metrics via Weighting Kernels
    Stefano Cresci, Roberto Di Pietro, Maurizio Tesconi · 2019 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
  20. Information Disorder
    Roberto Di Pietro, Simone Raponi, Maurantonio Caprolu, Stefano Cresci · 2020 · Advances in information security
  21. Detecting and Mitigating the Dissemination of Fake News: Challenges and Future Research Opportunities
    Saqib Hakak, Wajiha Shahid, Bahman Jamshidi, Wazir Zada Khan, Muhammad Khurram Khan, Haruna Isah · 2022
  22. BotFinder: A Novel Framework for Social Bots Detection in Online Social Networks Based on Graph Embedding and Community Detection
    Shudong Li, Chuanyu Zhao, Qing Li · 2022 · Research Square
  23. Introduction to Stylistic Models and Applications
    Jacques Savoy · 2020 · Springer eBooks
  24. Social Bot Detection Based on Window Strategy
    Boyu Qiao, Kun Li, Wei Jia Zhou · 2023 · IEEE International Conference on Multimedia and Expo (ICME)
  25. BotRGA: Neighborhood-Aware Twitter Bot Detection with Relational Graph Aggregation
    Weiguang Wang, Qi Wang, Tianning Zang, Xiaoyu Zhang, Lu Liu, Taorui Yang, Yijing Wang · 2024 · Lecture notes in computer science
  26. Detecting anomalies in graph networks on digital markets
    Agata Skorupka · 2024 · PLoS ONE
  27. Machine Learning Models
    Jacques Savoy · 2020 · Springer eBooks
  28. Opinion Dynamic Modeling of Fake News Perception
    Cecilia Toccaceli, Letizia Milli, Giulio Rossetti · 2020 · Studies in computational intelligence
  29. The Art of Social Bots: A Review and a Refined Taxonomy
    Majd Latah · 2019 · arXiv (Cornell University)
  30. SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?
    Tanveer Khan, Antonis Michalas, Adnan Akhunzada · 2021 · arXiv (Cornell University)
  31. Multirelational Twitter Bot Detection Using Graph Neural Networks
    Ketan Jadhav, Πέτρος Ποτίκας, Chris Pollett · 2025 · IEEE International Conference on Big Data Computing Service and Machine Learning Applications (BigDataService)
  32. Working Together (to Undermine Democratic Institutions): Challenging the Social Bot Paradigm in SSIO Research
    Cole Polychronis, Marina Kogan · 2023 · Proceedings of the ACM on Human-Computer Interaction
  33. Detecting Twitter Bots with Machine Learning and Propagation Graph Analysis
    Thi Bui, Katerina Potika · 2023 · International Conference on Transdisciplinary AI (TransAI)
  34. Mmds: multimodal benchmark dataset for suspicious profile detection on twitter social network
    Monika Choudhary, Spandan Patil, Satyendra Singh Chouhan, Emmanuel S. Pilli · 2024 · Social Network Analysis and Mining
  35. Advanced Models for Stylometric Applications
    Jacques Savoy · 2020 · Springer eBooks
  36. Using Connected Accounts to Enhance Information Spread in Social Networks
    Alon Sela, Orit Milo-Cohen, Eugene Kagan, Moti Zwilling, Irad Ben‐Gal · 2019 · Studies in computational intelligence
  37. Twitter Bots and the Swedish Election
    Johan Fernquist, Lisa Kaati, Ralph Schroeder, Nazar Akrami, Katie Cohen · 2020 · Lecture notes in social networks
  38. DeltaShield: Information Theory for Human- Trafficking Detection
    Catalina Vajiac, Meng-Chieh Lee, Aayushi Kulshrestha, Sacha Lévy, Namyong Park, Andreas Olligschlaeger, Cara Jones, Reihaneh Rabbany K, Christos Faloutsos · 2023 · ACM Transactions on Knowledge Discovery from Data
  39. Classifying Real and Bot Users Based on their News Spread for Combating Misinformation
    Thi Bui, Anson Pham, Warada Kulkarni · 2023 · IEEE International Conference on Service-Oriented System Engineering (SOSE)
  40. Feature Selection Using Chi-Squared Feature-Class Association Model for Fake Profile Detection in Online Social Networks
    C. V. Swetha, Sibi Shaji, B. Meenakshi Sundaram · 2024 · Lecture notes in networks and systems
  41. A Quantum Beta Distributed Multi-Objective Particle Swarm Optimization Algorithm for Twitter Fake Accounts Detection
    Ahlem Aboud, Nizar Rokbani, Seyedali Mirjalili, Amir Hussain, Habib Chabchoub, Adel M. Alimi · 2022
  42. A novel Quantum Beta distributed multi-objective Particle Swarm Optimization algorithm for fake accounts detection
    Ahlem Aboud, Nizar Rokbani, Seyedali Mirjalili, Amir Hussain, Adel M. Alimi · 2026 · Engineering Applications of Artificial Intelligence
  43. Detection of Twitter Bots using DNA-based Entropy Technique
    Rosario Gilmary, V. Akila, M. Beena Praveen, Hari R Prasath, Govindasamy Vaiyapuri · 2022 · International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT)
  44. Twitter Bot Detection Using One-Class Classifier and Topic Analysis
    Anupriya Rajkumar, C. Rakesh, M.M. Kalaivani · 2022 · Lecture notes in networks and systems
  45. Discovering Runtime Requirements from User Interactions: Ideas and Preliminary Studies
    Tong Li, Xinran Zhang, Yiting Wang · 2023 · IEEE International Requirements Engineering Conference (RE)
  46. Entropy-Based Automation Detection on Twitter Using DNA Profiling
    Rosario Gilmary, Akila Venkatesan · 2023 · SN Computer Science
  47. MSPIS: Multimodal Suspicious Profile Identification System in Online Social Network
    Monika Choudhary, Satyendra Singh Chouhan, Emmanuel S. Pilli · 2023 · Lecture notes in computer science
  48. Bots Recognition in Social Networks Using the Random Forest Algorithm
    M. G. Khachatrian, P. G. Klyucharev · 2019 · Mechanical Engineering and Computer Science
  49. Elena Ferrante: A Case Study in Authorship Attribution
    Jacques Savoy · 2020 · Springer eBooks
  50. Features Identification and Selection
    Jacques Savoy · 2020 · Springer eBooks
  51. A machine learning approach for socialbot targets detection on Twitter
    Muhammad Abulaish, Mohd Fazil · 2020 · Journal of Intelligent & Fuzzy Systems
  52. A Quantum Beta Distributed Multi-Objective Particle Swarm Optimization Algorithm for Twitter Fake Accounts Detection
    Ahlem Aboud, Nizar Rokbani, Seyedali Mirjalili, Abdulrahman M. Qahtani, Fahd S. Alharithi, Omar Almutiry, Amir Hussain, Adel M. Alimi, Habib Chabchoub · 2023
  53. A Socio-Informatic Approach to Automated Account Classification on Social Media
    Laurenz A. Cornelissen, Petrus Schoonwinkel, Richard J. Barnett · 2019 · International Conference on Social Media and Society (SMSociety)
  54. Measuring Human–Bot Interactions
    Onur Varol · 2020 · The International Encyclopedia of Media Psychology
  55. Basic Lexical Concepts and Measurements
    Jacques Savoy · 2020 · Springer eBooks
  56. Distance-Based Approaches
    Jacques Savoy · 2020 · Springer eBooks
  57. Author Profiling of Tweets
    Jacques Savoy · 2020 · Springer eBooks
  58. Evaluation Methodology and Test Corpora
    Jacques Savoy · 2020 · Springer eBooks
  59. Applications to Political Speeches
    Jacques Savoy · 2020 · Springer eBooks
  60. A Hierarchical Attention-Based Neural Network Model for Socialbot Detection in OSN
    Mohd Fazil, Amit Kumar Sah, Muhammad Abulaish · 2020 · IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)
  61. Detecting Various Types of Malicious Users at One Sitting in Online Social Networks
    Guanyi Mou · 2019
  62. What Bots Can (and Can’t) Do? (Model of Protest and Counter-Protest Political Mobilization)
    Андрей Сергеевич Ахременко, Alexander Petrov, Денис Стукал, Sergey Zheglov, Maksim Khavronenko · 2021 · The Journal of Political Theory Political Philosophy and Sociology of Politics Politeia
  63. Identifying Bots on Twitter with Benford’s Law
    Sanmesh Bhosale · 2021
  64. Conclusion
    Jacques Savoy · 2020 · Springer eBooks
  65. A Quantum Beta Distributed Multi-Objective Particle Swarm Optimization Algorithm for Twitter Fake Accounts Detection
    Ahlem Aboud, Nizar Rokbani, Seyedali Mirjalili, Abdulrahman M. Qahtani, Fahd S. Alharithi, Omar Almutiry, Amir Hussain, Adel M. Alimi, Habib Chabchoub · 2022
  66. Twitter Bot Detection using NLP and Graph Classification
    Warada Kulkarni · 2023
  67. A Quantum Beta Distributed Multi-Objective Particle Swarm Optimization Algorithm for Twitter Fake Accounts Detection
    Ahlem Aboud, Nizar Rokbani, Seyedali Mirjalili, Amir Hussain, Habib Chabchoub, Adel M. Alimi · 2023 · Research Square
  68. Analyzing the Efficacy of Bot Detection Methods on Twitter/X
    Danish Javed, Noor Zaman, Navid Ali Khan, Sayan Kumar Ray, Alanoud Al Mazroa, Rizwan Ayaz, Shampa Rani Das · 2023 · SSRN Electronic Journal
  69. Design Thinking-based Graph Mining Technique for Discover Patterns in Complex Networks
    S.Sugantha Priya, B Surendhar, Sivakumar S · 2023 · International Conference on Automation, Computing and Renewable Systems (ICACRS)
  70. BotGSL: Twitter Bot Detection with Graph Structure Learning
    Chuancheng Wei, Gang Liang, Kexiang Yan · 2024 · The Computer Journal
  71. A Social Bot Recognition Method Combing Emojis Information
    Xiujuan Wang, Zhengxiang Wang, Keke Wang, Kangmiao Chen, Mingxia Gao, Zheng Kangfeng · 2024 · Research Square
  72. Uneven Hybrid Clickstream Generation Based on Multi-Layer Perceptron
    Сhen Liu, Zhiyong Yu, Fangwan Huang · 2023 · International Conference on Advanced Cloud and Big Data
  73. Deciphering Social Behaviour: a Novel Biological Approach For Social Users Classification
    Edoardo Allegrini, Edoardo Di Paolo, Marinella Petrocchi · 2025 · ACM/SIGAPP Symposium on Applied Computing (SAC)
  74. Social Robot Recognition Based on E-GraphCTAGE Model: Integration of Facial Expression And Multi-feature Processing
    Xiujuan Wang, Zhengxiang Wang, Kangmiao Chen · 2024
  75. Bio Python Application for Comparative Analysis of COVID-19 Virus Genome with Other Calamitous Genome
    Narendra Kumar Dewangan, RPS Chauhan, Naveen Jain · 2025 · Research Journal of Pharmacy and Technology
  76. Detection of LLM-powered bots using image classification
    Edoardo Di Paolo, Marinella Petrocchi, Angelo Spognardi · 2025 · First Monday
  77. Do Bots Do It Better? Analyzing the Effectiveness of Automated Agents in State-Sponsored Information Operations
    Cole Polychronis, Marina Kogan · 2025 · Proceedings of the International AAAI Conference on Web and Social Media
  78. 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
  79. GraphCoarsenFormer: Integrating Transformer with Graph Coarsening for Enhanced Social Bot Detection
    Xinjun Ma, Dong Qiu · 2024 · International Symposium on Computational Intelligence and Design
  80. Temporal-Aware Social Bot Detection with Graph Contrastive Learning
    Weiguang Wang, Tianning Zang, Xiaoyu Zhang · 2025 · Lecture notes in computer science
  81. Interest-Aware Social Bot Detection with Contrastive Hard Sample Mining
    Huailiang Peng, Yujun Zhang, Hao Sun, Wei Hao, Qiong Dai · 2024 · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
  82. 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
  83. From interaction to evolution: A behavior-driven framework for automated software requirements elicitation
    Tong Li, Chaoqun Wen, Xinran Zhang · 2026 · Automated Software Engineering
  84. Multimodal Learning-Based Relational Graph Neural Networks for Social Bot Detection
    Ke Wu, Yaguang Lin, Xiaoming Wang, Liang Wang · 2026 · IEEE Transactions on Network and Service Management
  85. Detecting Social Bots via Multi-Motif Attention Fusion Network
    Jianbo Wang, Jialong Chen, Ping Li, Zhanwei Du, Xiao-Ke Xu · 2026 · IEEE Transactions on Computational Social Systems
  86. Anti-Abuse Protection of Online Social Networks using Machine Learning
    Nour El-Mawass · 2020
  87. 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
  88. Behavior Change as a Signal for Identifying Social Media Manipulation
    Isuru Ariyarathne, Gangani Ariyarathne, Alessandro Flammini, Filippo Menczer, Alexander C. Nwala · 2026 · ACM Web Science Conference (WebSci)
  89. Unified network ensemble and chunk-based feature selection for improved social bot detection
    Jwala Sharma, Samarjeet Borah · 2026 · Knowledge and Information Systems
  90. Emotion Sequence Modelling for Fake News Detection
    Salvador López-Joya, Jose A. Diaz-Garcia, Maria Dolores Ruiz, María José Martín-Bautista · 2026 · Communications in computer and information science
  91. Behavior-Driven Detection of Social Bot Groups Through Coordination Patterns and Stance Consistency
    Xiaoyu Xue, Ruwen Zhang, Danni Liu, Bo Liu, Jiuxin Cao · 2026 · IEEE Transactions on Computational Social Systems
  92. MGTAB-Live: A Production-Ready Multi-Relational Graph-Based Framework for Real-Time Twitter Bot Detection Using Relational Graph Convolutional Networks
    Arihant Jain, Pratham Jaulkar, Aayush Agrawal, Frank Garvin, Rajesh H. Khobragade · 2026 · Cureus Journal of Computer Science.
  93. RB-GNN: Securing Social Collaboration via Residual Behavior Graph Learning
    Zhenyuan Wang, Lixin Ji, Shuxin Liu · 2026 · International Conference on Computer Supported Cooperative Work in Design (CSCWD)
  94. 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
  95. VoteRFXGB: An Optimized Ensemble Approach for Twitter Bot Detection with Random Forest and XGBoost
    Xuelian Li, Qiyi Han, Peiru Ma · 2026 · International Conference on Artificial Intelligence, Internet of Things and Cloud Computing Technology (AIoTC)