Fame for sale: Efficient detection of fake Twitter followers

Cresci, Stefano, Di Pietro, Roberto, Petrocchi, Marinella, Spognardi, Angelo, Tesconi, Maurizio·2015·Decision Support Systems
DOI 10.1016/j.dss.2015.09.003

Cited by (459)

Items 101–200 of 459

  1. From Reaction to Proaction
    Stefano Cresci, Marinella Petrocchi, Angelo Spognardi, Stefano Tognazzi · 2018 · International World Wide Web Conference (WWW)
  2. Italian Twitter semantic network during the Covid-19 epidemic
    Mattia Mattei, Guido Caldarelli, Tiziano Squartini, Fabio Saracco · 2021 · EPJ Data Science
  3. Bots Acting Like Humans: Understanding and Preventing Harm
    Florian Daniel, Cinzia Cappiello, Boualem Benatallah · 2019 · IEEE Internet Computing
  4. Characterizing Social Bots Spreading Financial Disinformation
    Serena Tardelli, Marco Avvenuti, Maurizio Tesconi, Stefano Cresci · 2020 · Lecture notes in computer science
  5. SybilRadar: A Graph-Structure Based Framework for Sybil Detection in On-line Social Networks
    Dieudonné Mulamba, Indrajit Ray, Indrakshi Ray · 2016 · IFIP advances in information and communication technology
  6. Prediction of drive-by download attacks on Twitter
    Amir Javed, Pete Burnap, OMER F. RANA · 2018 · Information Processing & Management
  7. Manipulating Visibility of Political and Apolitical Threads on Reddit via Score Boosting
    Mark Carman, Mark Koerber, Jiuyong Li · 2018
  8. Detecting Fake Accounts on Twitter Social Network Using Multi-Objective Hybrid Feature Selection Approach
    Reza Ramzanzadeh Rostami · 2020 · Webology
  9. Fine-Tuned Understanding: Enhancing Social Bot Detection With Transformer-Based Classification
    Amine Sallah, El Arbi Abdellaoui Alaoui, Saïd Agoujil, Mudasir Ahmad Wani, Mohamed Adel Hammad, Yassine Maleh, Ahmed A. Abd El‐Latif · 2024 · IEEE Access
  10. Abundant Topological Outliers in Social Media Data and Their Effect on Spatial Analysis
    René Westerholt, Enrico Steiger, Bernd Resch, Alexander Zipf · 2016 · PLoS ONE
  11. On the need of opening up crowdsourced emergency management systems
    Marco Avvenuti, Stefano Cresci, Fabio Del Vigna · 2017 · AI & Society
  12. Detection of Social Botnet using a Trust Model based on Spam Content in Twitter Network
    Greeshma Lingam, Rashmi Ranjan Rout, D. V. L. N. Somayajulu · 2018 · IEEE International Conference on Industrial and Information Systems (ICIIS)
  13. Random Forest Twitter Bot Classifier
    James Schnebly, Shamik Sengupta · 2019 · IEEE Annual Computing and Communication Workshop and Conference (CCWC)
  14. Bot Datasets on Twitter: Analysis and Challenges
    Luis Daniel Samper-Escalante, Octavio Loyola‐González, Raúl Monroy · 2021 · Applied Sciences
  15. On the efficacy of old features for the detection of new bots
    Rocco De Nicola, Marinella Petrocchi, Manuel Pratelli · 2021 · Information Processing & Management
  16. Misinformation on social platforms: A review and research Agenda
    Neha Chaudhuri, Gaurav Gupta, Mehdi Bagherzadeh, Tugrul Unsal Daim, Haydar Yalçın · 2024 · Technology in Society
  17. Identifying Fake Profile in Online Social Network: An Overview and Survey
    Shruti Joshi, Himanshi Gupta Nagariya, Neha Dhanotiya, Sarika Jain · 2020 · Communications in computer and information science
  18. A Hybrid Deep Learning Architecture for Social Media Bots Detection Based on BiGRU-LSTM and GloVe Word Embedding
    Zineb Ellaky, Faouzia Benabbou, Yassir Matrane, Saad Qaqa · 2024 · IEEE Access
  19. Blackmarket-Driven Collusion Among Retweeters–Analysis, Detection, and Characterization
    Hridoy Sankar Dutta, Tanmoy Chakraborty · 2019 · IEEE Transactions on Information Forensics and Security
  20. Twitter Bot Detection with Reduced Feature Set
    Jefferson Viana Fonseca Abreu, Célia Ghedini Ralha, João José Costa Gondim · 2020 · IEEE International Conference on Intelligence and Security Informatics (ISI)
  21. SEGCN: a subgraph encoding based graph convolutional network model for social bot detection
    Feng Liu, Zhenyu Li, Chunfang Yang, Daofu Gong, Haoyu Lu, Fenlin Liu · 2024 · Scientific Reports
  22. Weibo diplomacy: Foreign embassies communicating on Chinese social media
    Luwei Rose Luqiu, Fan Yang · 2020 · Government Information Quarterly
  23. Detecting and Analyzing Collusive Entities on YouTube
    Hridoy Sankar Dutta, Mayank Jobanputra, Himani Negi, Tanmoy Chakraborty · 2021 · ACM Transactions on Intelligent Systems and Technology
  24. Disagree? You Must be a Bot! How Beliefs Shape Twitter Profile Perceptions
    Magdalena Wischnewski, Rebecca Bernemann, Thao Ngo, Nicole C. Krämer · 2021 · CHI Conference on Human Factors in Computing Systems
  25. Sustainable development goals as unifying narratives in large UK firms’ Twitter discussions
    Alessia Patuelli, Fabio Saracco · 2023 · Scientific Reports
  26. LMBot: Distilling Graph Knowledge into Language Model for Graph-less Deployment in Twitter Bot Detection
    Zijian Cai, Zhaoxuan Tan, Zhenyu Lei, Zifeng Zhu, Hongrui Wang, Qinghua Zheng, Minnan Luo · 2024 · ACM International Conference on Web Search and Data Mining (WSDM)
  27. CoReRank
    Aditya Chetan, Brihi Joshi, Hridoy Sankar Dutta, Tanmoy Chakraborty · 2019 · ACM International Conference on Web Search and Data Mining (WSDM)
  28. MediaRank
    Junting Ye, Steven Skiena · 2019 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  29. A real-time hostile activities analyses and detection system
    Sajjad Dadkhah, Farzaneh Shoeleh, Mohammad Mehdi Yadollahi, Xichen Zhang, Ali Akbar Ghorbani · 2021 · Applied Soft Computing
  30. Cheap Signals in Security Token Offerings (STOs)
    Lennart Ante, Ingo Fiedler · 2019 · SSRN Electronic Journal
  31. MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark
    Shuhao Shi, Kai Qiao, Zihao Liu, Jie Yang, Chen Chen, Jian Chen, Bin Yan · 2025 · Neurocomputing
  32. Differences in Behavioral Characteristics and Diffusion Mechanisms: A Comparative Analysis Based on Social Bots and Human Users
    Meng Cai, Han Luo, Xiao Meng, Ying Cui · 2022 · Frontiers in Physics
  33. Don’t Go Chasing Narcissists: A Relational-Based and Multiverse Perspective on Leader Narcissism and Follower Engagement Using a Machine Learning Approach
    Dritjon Gruda, Dimitra Karanatsiou, Paul John Hanges, Jennifer Golbeck, Athena I. Vakali · 2022 · Personality and Social Psychology Bulletin
  34. What Do We Know About Influencers on Social Media? Toward a New Conceptualization and Classification of Influencers
    María Sicilia Piñero, Manuela López · 2023 · Springer eBooks
  35. Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content
    Choudhary, Monika, Chouhan, Satyendra Singh, Rathore, Santosh Singh · 2024 · ACM Transactions on Intelligent Systems and Technology
  36. Malicious Account Detection on Twitter Based on Tweet Account Features using Machine Learning
    Farhan Nurdiatama Pakaya, Muhammad Okky Ibrohim, Indra Darmawan Budi · 2019 · International Conference on Informatics and Computing (ICIC)
  37. Social Botomics: A Systematic Ensemble ML Approach for Explainable and Multi-Class Bot Detection
    Ilias Dimitriadis, Konstantinos Georgiou, Athena I. Vakali · 2021 · Applied Sciences
  38. Manipulating Twitter through Deletions
    Christopher Torres-Lugo, Manita Pote, Alexander C. Nwala, Filippo Menczer · 2022 · Proceedings of the International AAAI Conference on Web and Social Media
  39. Hybrid Real-Time Protection System for Online Social Networks
    Muneer Bani Yassein, Shadi A Aljawarneh, Yarub A. Wahsheh · 2019 · Foundations of Science
  40. You Are Known by Your Friends: Leveraging Network Metrics for Bot Detection in Twitter
    David M. Beskow, Kathleen M. Carley · 2020 · Lecture notes in social networks
  41. Unsupervised detection of coordinated fake-follower campaigns on social media
    Zouzou, Yasser, Varol, Onur · 2024 · EPJ Data Science
  42. Fake accounts detection on social media using stack ensemble system
    Amna Kadhim Ali, Abdulhussein Mohsin Abdullah · 2022 · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
  43. Friendship Preference: Scalable and Robust Category of Features for Social Bot Detection
    Samaneh Hosseini Moghaddam, Maghsoud Abbaspour · 2022 · IEEE Transactions on Dependable and Secure Computing
  44. Should we agree to disagree about Twitter’s bot problem?
    Onur Varol · 2023 · Online Social Networks and Media
  45. Over-Sampling Strategy in Feature Space for Graphs based Class-imbalanced Bot Detection
    Shuhao Shi, Kai Qiao, Chen Chen · 2024 · ACM Web Conference (WWW)
  46. Countering Social Media Cybercrime Using Deep Learning: Instagram Fake Accounts Detection
    Najla Hamandi Alharbi, Bashayer Alkalifah, Ghaida Alqarawi, Murad Abdo Rassam · 2024 · Future Internet
  47. A Survey On Spam URLs Detection In Twitter
    Wafaa Daffa, Omaimah Omar Bamasag, Amal Abdullah AlMansour · 2018 · International Conference on Computer Applications & Information Security (ICCAIS)
  48. CGNN: A Compatibility-Aware Graph Neural Network for Social Media Bot Detection
    Haitao Huang, Hu Tian, Xiaolong Zheng, Xingwei Zhang, Daniel Dajun Zeng, Fei–Yue Wang · 2024 · IEEE Transactions on Computational Social Systems
  49. Survey of Online Social Networks Threats and Solutions
    Muneer Bani Yassein, Shadi A Aljawarneh, Yarub A. Wahsheh · 2019 · IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)
  50. Malicious Bot Detection in Online Social Networks: Arming Handcrafted Features with Deep Learning
    Guanyi Mou, Kyumin Lee · 2020 · Lecture notes in computer science
  51. Retracted: Battling Fake News: A Survey on Mitigation Techniques and Identification
    Pushpendra Kumar, Polagani. Rama Devi, Nallagatla Raghavendra Sai, Sanjitha Kumar, Tharini. Benarji · 2021 · International Conference on Trends in Electronics and Informatics (ICOEI) · Retracted
  52. Detection of Fake Profiles on Online Social Network Platforms: Performance Evaluation of Artificial Intelligence Techniques
    Shah, Akash, Varshney, Sapna, Mehrotra, Monica · 2024 · SN Computer Science
  53. Fine-grained Prediction of Political Leaning on Social Media with Unsupervised Deep Learning
    Tiziano Fagni, Stefano Cresci · 2022 · Journal of Artificial Intelligence Research
  54. Bow-tie structures of twitter discursive communities
    Mattia Mattei, Manuel Pratelli, Guido Caldarelli, Marinella Petrocchi, Fabio Saracco · 2022 · Scientific Reports
  55. BotPercent: Estimating Bot Populations in Twitter Communities
    Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov · 2023 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
  56. BotCL: a social bot detection model based on graph contrastive learning
    Li Yan, Zhenyu Li, Daofu Gong · 2024 · Knowledge and Information Systems
  57. Identification of credulous users on Twitter
    Alessandro Balestrucci, Rocco De Nicola, Omar Inverso, Catia Trubiani · 2019 · ACM Symposium on Applied Computing
  58. The extensible Data-Brain model: Architecture, applications and directions
    Hongzhi Kuai, Ning Zhong · 2020 · Journal of Computational Science
  59. MulBot: Unsupervised Bot Detection Based on Multivariate Time Series
    Lorenzo Mannocci, Stefano Cresci, Anna Monreale, Athena I. Vakali, Maurizio Tesconi · 2022 · IEEE International Conference on Big Data (BigData)
  60. Cashtag piggybacking: uncovering spam and bot activity in stock microblogs on Twitter
    Stefano Cresci, Fabrizio Lillo, Daniele Regoli, Serena Tardelli, Maurizio Tesconi · 2018 · arXiv (Cornell University)
  61. Detecting Abusive Language on Online Platforms: A Critical Analysis.
    Preslav Nakov, Vibha Nayak, Kyle Dent, Ameya Bhatawdekar, Sheikh Muhammad Sarwar, Momchil Hardalov, Yoan Dinkov, Dimitrina Zlatkova, Guillaume Bouchard, Isabelle Augenstein · 2021 · arXiv (Cornell University)
  62. Tweet and Account Based Spam Detection on Twitter
    Kübra Nur Güngör, O. Ayhan Erdem, İbrahim Alper Doğru · 2020 · Lecture notes on data engineering and communications technologies
  63. Multi-modal Social Bot Detection: Learning Homophilic and Heterophilic Connections Adaptively
    Shilong Li, Boyu Qiao, Kun Li, Qianqian Lu, Meng Lin, Wei Jia Zhou · 2023 · ACM International Conference on Multimedia (ACM MM)
  64. I Alone Can Fix It: Examining interactions between narcissistic leaders and anxious followers on Twitter using a machine learning approach
    Dritjon Gruda, Dimitra Karanatsiou, Kanishka Mendhekar, Jennifer Golbeck, Athena I. Vakali · 2021 · Journal of the Association for Information Science and Technology
  65. It’s a Matter of Style: Detecting Social Bots through Writing Style Consistency
    Matteo Cardaioli, Mauro Conti, Andrea Di Sorbo, Enrico Fabrizio, Sonia Laudanna, Corrado Aaron Visaggio · 2021 · International Conference on Computer Communications and Networks (ICCCN)
  66. Characterizing Retweet Bots: The Case of Black Market Accounts
    Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer · 2022 · Proceedings of the International AAAI Conference on Web and Social Media
  67. The Manufacture of Partisan Echo Chambers by Follow Train Abuse on Twitter
    Christopher Torres-Lugo, Kai-Cheng Yang, Filippo Menczer · 2022 · Proceedings of the International AAAI Conference on Web and Social Media
  68. The Devil’s Triangle: Ethical Considerations on Developing Bot Detection Methods
    Andree Thieltges, Florian Schmidt, Simon Hegelich · 2016 · National Conference on Artificial Intelligence
  69. The follower count fallacy
    Anupama Aggarwal, Saravana Kumar, Kushagra Bhargava, Ponnurangam Kumaraguru · 2018 · ACM Symposium on Applied Computing
  70. Detecting Malicious Social Bots: Story of a Never-Ending Clash
    Stefano Cresci · 2020 · Lecture notes in computer science
  71. Beyond artificial intelligence controversies: What are algorithms doing in the scientific literature?
    Anders Kristian Munk, Mathieu Jacomy, Matilde Ficozzi, Torben Elgaard Jensen · 2024 · Big Data & Society
  72. A behavioural analysis of credulous Twitter users
    Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi · 2021 · Online Social Networks and Media
  73. Accou2vec: A Social Bot Detection Model Based on Community Walk
    Feng Liu, Chunfang Yang, Zhenyu Li, Daofu Gong, Fenlin Liu · 2023 · IEEE Transactions on Dependable and Secure Computing
  74. Detection of automated behavior on Twitter through approximate entropy and sample entropy
    Rosario Gilmary, V. Akila, Govindasamy Vaiyapuri · 2021 · Personal and Ubiquitous Computing
  75. Distance-based customer detection in fake follower markets
    Boyeon Jang, Sihyun Jeong, Chong-kwon Kim · 2018 · Information Systems
  76. Better Safe Than Sorry: An Adversarial Approach to Improve Social Bot Detection
    Stefano Cresci, Marinella Petrocchi, Angelo Spognardi, Stefano Tognazzi · 2019 · arXiv (Cornell University)
  77. Semi-Supervised Social Bot Detection with Relational Graph Attention Transformers and Characteristics of the social environment
    Di Huang, Jinbao Song, Xingyu Zhang · 2025 · Information Fusion
  78. It’s a Trap! Detection and Analysis of Fake Channels on Telegram
    Massimo La Morgia, Alessandro Mei, Alberto Maria Mongardini, Jie Wu · 2023 · IEEE International Conference on Web Services (ICWS)
  79. Political social media bot detection: Unveiling cutting-edge feature selection and engineering strategies in machine learning model development
    Zineb Ellaky, Faouzia Benabbou · 2024 · Scientific African
  80. Early Detection and Prevention of Malicious User Behavior on Twitter Using Deep Learning Techniques
    Rubén Sánchez, Arkaitz Zubiaga, Aitor Almeida · 2024 · IEEE Transactions on Computational Social Systems
  81. Misleading Repurposing on Twitter
    Tuğrulcan Elmas, Rebekah Overdorf, Karl Aberer · 2023 · Proceedings of the International AAAI Conference on Web and Social Media
  82. Characterizing Social Spambots by their Human Traits
    Salvatore Giorgi, Lyle Ungar, H. Andrew Schwartz · 2021 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
  83. Classification of social media users with generalized functional data analysis
    Anthony Weishampel, Ana‐Maria Staicu, William Michael Rand · 2022 · Computational Statistics & Data Analysis
  84. Blackmarket-Driven Collusion on Online Media: A Survey
    Hridoy Sankar Dutta, Tanmoy Chakraborty · 2021 · ACM/IMS Transactions on Data Science
  85. Leveraging node neighborhoods and egograph topology for better bot detection in social graphs
    Björn Bebensee, Nagmat Nazarov, Byoung‐Tak Zhang · 2021 · Social Network Analysis and Mining
  86. Towards the future of bot detection: A comprehensive taxonomical review and challenges on Twitter/X
    Danish Javed, Noor Zaman Jhanjhi, Navid Ali Khan, Sayan Kumar Ray, Alanoud Al Mazroa, Farzeen Ashfaq, Shampa Rani Das · 2024 · Computer Networks
  87. Do you believe it? Examining user engagement with fake news on social media platforms
    Neha Chaudhuri, Gaurav Gupta, Aleš Popovič · 2024 · Technological Forecasting and Social Change
  88. Dissecting a social bot powered by generative AI: anatomy, new trends and challenges
    Salvador López-Joya, Jose A. Diaz-Garcia, Maria Dolores Ruiz, María José Martín-Bautista · 2025 · Social Network Analysis and Mining
  89. MRLBot: Multi-Dimensional Representation Learning for Social Media Bot Detection
    Fanrui Zeng, Yingjie Sun, Yizhou Li · 2023 · Electronics
  90. Supervised Classification of Social Spammers using a Similarity-based Markov Random Field Approach
    Nour El-Mawass, Paul Honeiné, Laurent Vercouter · 2018 · Multidisciplinary International Social Networks Conference (MISNC)
  91. Twitter bot detection and their influence in hashtag manipulation
    Sanket Barhate, Ritika Mangla, Dhwani Panjwani, Suyash Gatkal, Faruk Kazi · 2020 · IEEE India Conference
  92. Influence of social bots in information warfare: A case study on @UAWeapons Twitter account in the context of Russia–Ukraine conflict
    Qian Li, Qian Liu, Shaoqiang Liu, Xinyue Di, Siyu Chen, Hongzhong Zhang · 2023 · Communication and the Public
  93. CasCIFF: A cross-domain information fusion framework tailored for cascade prediction in social networks
    Hongjun Zhu, Shun Yuan, Xin Liu, Kuo Chen, Chaolong Jia, Ying Qian · 2024 · Knowledge-Based Systems
  94. Identification of Spambots and Fake Followers on Social Network via Interpretable AI-Based Machine Learning
    Danish Javed, Noor Zaman Jhanjhi, Navid Ali Khan, Sayan Kumar Ray, Arafat Al-Dhaqm, Victor Rigworo Kebande · 2025 · IEEE Access
  95. Enhancing misinformation countermeasures: a multimodal approach to twitter bot detection
    Olmar Arranz-Escudero, Lara Quijano-Sánchez, Federico Liberatore · 2025 · Social Network Analysis and Mining
  96. Unmasking deception: detection of fake profiles in online social ecosystems
    Amber Sarfraz, Adnan Ahmad, Furkh Zeshan, Muhammad Hamid, Tagrid Abdullah N. Alshalali · 2025 · Journal Of Big Data
  97. Credibility assessment of financial stock tweets
    Lewis Evans, Majdi Owda, Keeley A. Crockett · 2020 · Expert Systems with Applications
  98. RGSE: Robust Graph Structure Embedding for Anomalous Link Detection
    Zhen Liu, Wenbo Zuo, Dongning Zhang · 2023 · IEEE Transactions on Big Data
  99. DeepMUI : A novel method to identify malicious users on online social network platforms
    Akash Shah, Sapna Varshney, Monica Mehrotra · 2023 · Concurrency and Computation Practice and Experience
  100. Fake account detection in social media using machine learning methods: literature review
    Nalia Graciella Kerrysa, Ika Qutsiati Utami · 2023 · Bulletin of Electrical Engineering and Informatics