Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg?

Chu, Zi, Gianvecchio, Steven, Wang, Haining, Jajodia, Sushil·2012·IEEE Transactions on Dependable and Secure Computing
DOI 10.1109/tdsc.2012.75

Cited by (632)

Items 401–500 of 632

  1. Incidental Effects of Automated Retweeting: An Exploratory Network Perspective on Bot Activity During Sri Lanka’s Presidential Election in 2015
    Chamil Rathnayake, Wayne Buente · 2017 · Bulletin of Science Technology & Society
  2. Delegating Religious Practices to Autonomous Machines, A Reply to “Prayer-Bots and Religious Worship on Twitter: A Call for a Wider Research Agenda”
    Yaqub Chaudhary · 2019 · Minds and Machines
  3. On Twitter Bots Behaving Badly: Empirical Study of Code Patterns on GitHub
    Andrea Millimaggi, Florian Daniel · 2019 · Lecture notes in computer science
  4. Visual analysis of global research trends in social bots based on bibliometrics
    Xiujuan Chen, Shanbing Gao, Xue Zhang · 2021 · Online Information Review
  5. Identification of Bots and Cyborgs in the #FeesMustFall Campaign
    Yaseen Khan, Surendra Colin Thakur, Obiseye Oluwaniyi Obiyemi, Emmanuel Adetiba · 2022 · Informatics
  6. Captcha me if you can: Imitation Games with Reinforcement Learning
    Ilias Tsingenopoulos, Davy Preuveneers, Lieven Desmet, Wouter Joosen · 2022 · IEEE European Symposium on Security and Privacy
  7. Russo-Ukrainian War: Prediction and explanation of Twitter suspension
    Alexander Shevtsov, Despoina Antonakaki, Ioannis Lamprou, Ioannis Kontogiorgakis, Polyvios Pratikakis, Sotiris Ioannidis · 2023 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
  8. 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.
  9. Person Versus Non-person Classification of Twitter Handle
    Himanshu Budania, Pramod Kumar Singh · 2018 · Advances in intelligent systems and computing
  10. Bots and Gender Profiling on Twitter.
    Muhammad Hammad Fahim Siddiqui, Iqra Ameer, Alexander F. Gelbukh, Grigori Sidorov · 2019 · CLEF (Working Notes)
  11. On Twitter Bots Behaving Badly
    Florian Daniel, Andrea Millimaggi · 2020 · Journal of Web Engineering
  12. Information Disorder
    Roberto Di Pietro, Simone Raponi, Maurantonio Caprolu, Stefano Cresci · 2020 · Advances in information security
  13. A method for detecting local events using the spatiotemporal locality of microblog posts
    Takuya Sugitani, Masumi Shirakawa, Takahiro Hara, Shojiro Nishio · 2015 · International Journal of Web Information Systems
  14. Deteksi Bot Spammer pada Twitter Berbasis Sentiment Analysis dan Time Interval Entropy
    Christian Sri Kusuma Aditya, Mamluatul Hani’ah, Alif Akbar Fitrawan, Agus Zainal Arifin, Diana Purwitasari · 2016 · Jurnal Buana Informatika
  15. A Feature-Driven Approach for Identifying Pathogenic Social Media Accounts
    Hamidreza Alvari, Ghazaleh Beigi, Soumajyoti Sarkar, Scott W.VE Ruston, Steven R. Corman, Hasan Davulcu, Paulo Shakarian · 2020 · International Conference on Data Intelligence and Security (ICDIS)
  16. The Presence of Twitter Bots and Cyborgs in the #FeesMustFall Campaign
    Yaseen Khan, Surendra Colin Thakur · 2018 · International Conference on Intelligent and Innovative Computing Applications
  17. QuickStop: A Markov Optimal Stopping Approach for Quickest Misinformation Detection
    Honghao Wei, Xiaohan Kang, Weina Wang, Lei Ying · 2019 · arXiv (Cornell University)
  18. The Power of Deletions: Ephemeral Astroturfing Attacks on Twitter Trends
    Tuğrulcan Elmas, Rebekah Overdorf, Ahmed Furkan Özkalay, Karl Aberer · 2019 · arXiv (Cornell University)
  19. Research on characteristics mining and management strategies for key rumor spreaders
    Yue Hu, Guang Yu · 2025 · Online Information Review
  20. From the past to the present: A social bot detection method based on spatio-temporal interactive perception
    Feng Liu, Rui Ma · 2025 · Knowledge-Based Systems
  21. Analysis of Methodologies to Model the Content for Conveying the Correct Information
    Milind Gayakwad, Suhas Haribhau Patil · 2021 · International Conference on Computing, Communication and Green Engineering (CCGE)
  22. Fake Instagram Profile Detection
    Prajna Bhat, M Chaitra, Sindhu R Thyli, Anitha N, Rajeshwari · 2024 · International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)
  23. Unmasking social bots: how confident are we?
    James Giroux, Gangani Ariyarathne, Alexander C. Nwala, C. Fanelli · 2025 · EPJ Data Science
  24. Promoting Public Engagement in Palliative and End-of-Life Care Discussions on Chinese Social Media: Model Development and Analysis
    Yijun Wang, Han Zheng, Yuxin Zhou, E. Chukwusa, J. Koffman, Vasa Ćurčin · 2025 · Journal of Medical Internet Research
  25. Topical Engagement on Twitter: Using Consistency of Activity as a Means of User Segmentation
    Aurora Schmidt, Clay Fink, Nathan Bos · 2014 · Proceedings of the International AAAI Conference on Web and Social Media
  26. Introduction to Stylistic Models and Applications
    Jacques Savoy · 2020 · Springer eBooks
  27. Profiling Bot Accounts Mentioning COVID-19 Publications on Twitter
    Yingxin Estella Ye, Jin‐Cheon Na · 2020 · Lecture notes in computer science
  28. Klasik ve Modern Dönemde Yalan Haberin Tespiti: Hadis Usûlü ve Doğrulama Platformları Özelinde Mukayeseli Bir Yaklaşım
    Mustafa YÜCEER, Furkan Çakır · 2021 · Medya ve Din Araştırmaları Dergisi
  29. A Potent Technique for Identifying Fake Accounts on Social Platforms
    Kajal Kajal, Uttam Kumar Singh, Nikhat Akhtar, Satendra Kumar Vishwakarma, Niranjan Kumar, Yusuf Perwej · 2023 · International Journal of Scientific Research in Computer Science Engineering and Information Technology
  30. Ensemble learning and stacked convolutional neural network for Covid-19 situational information analysis using social media data
    Manjubala Bisi, Rahul Maurya · 2024 · Multimedia Tools and Applications
  31. Tweet Credibility Ranker: A Credibility Features’ Fusion Model
    Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick · 2025 · Cognitive Computation
  32. An empirical study of the effect of profile and behavioral characteristics on the infiltration rate of socialbots
    Mandana Khademi, Samaneh Hosseini Moghaddam, Maghsoud Abbaspour · 2017 · Iranian Conference on Electrical Engineering
  33. Interactions3 : language, demographics and personality : an in-depth analysis of German tweets
    Matthias L. Raess · 2018 · Cardinal Scholar (Ball State University)
  34. Identification of tweets that mention books
    Shuntaro Yada, Kyo Kageura, Cécile L. Paris · 2019 · International Journal on Digital Libraries
  35. Machine Learning Models
    Jacques Savoy · 2020 · Springer eBooks
  36. Die überschätzte Gefahr? Twitter-Bots im Europawahlkampf 2019
    Fabian Pfaffenberger, Philipp Heinrich · 2020 · Springer eBooks
  37. Automatically Identifying Periodic Social Events from Twitter
    Florian Kunneman, Antal P. J. van den Bosch · 2015 · Radboud Repository (Radboud University)
  38. A Game Theoretic Analysis of the Twitter Follow-Unfollow Mechanism
    Jundong Chen, Md Shafaeat Hossain, Matthias R. Brust, Naomi Johnson · 2018 · Lecture notes in computer science
  39. Online Social Network Phenomena: Buzz, Rumor and Spam
    Manel Mezghani, Mahdi Washha, Florence Sèdes · 2018 · Elsevier eBooks
  40. Classification of AI Powered Social Bots on Twitter by Sentiment Analysis and Data Mining through SVM
    Abu Foysal, Safat Islam, Touhidur Rahaman · 2019 · International Journal of Computer Applications
  41. Machine Learning Techniques to Evaluate Whether Twitter Accounts Are Human or Robot
    Jordan Yono, Antonio Segura, Yongqiang Sun, Shadi Banitaan · 2020 · IEEE International Conference on Electro Information Technology
  42. Are Bots Humans? Analysis of Bot Accounts in 2019 Indian Lok Sabha Elections (Workshop Paper)
    Hitkul Hitkul, Omkar Gurjar, Aanshul Sadaria, Kanay Gupta, Shashank Srikanth, Rajiv Ratn Shah, Ponnurangam Kumaraguru · 2020 · IEEE International Conference on Multimedia Big Data
  43. Siyasal İletişimde Bilişimsel Propaganda: Türkiye’de 23 Haziran 2019 İstanbul Yerel Seçimleri ve Botlar, Cyborglar, Troller
    Barış YETKİN · 2020 · İletişim Kuram ve Araştırma Dergisi
  44. $$T^3N$$: Harnessing Text and Temporal Tree Network for Rumor Detection on Twitter
    Nikhil Pinnaparaju, Manish Gupta, Vasudeva Varma · 2021 · Lecture notes in computer science
  45. A Survey of Data Mining Techniques in the Field of Cyborg Mining
    Nafiza Rahman, Maisha Maimuna, Afroja Begum, Md. Razu Ahmed, Mohammad Shamsul Arefin · 2021 · Advances in intelligent systems and computing
  46. A Novel Technique to Characterize Social Network Users
    Monika Singh, Divya Bansal, Sanjeev Sofat · 2016 · International Conference on Communication and Network Security (ICCNS)
  47. A machine learning-based malicious bot detection framework for trend-centric twitter stream
    Suruchi Gera, Adwitiya Sinha · 2021 · Journal of Discrete Mathematical Sciences and Cryptography
  48. Understanding Social Media Credibility
    Tanushree Mitra · 2017 · SMARTech Repository (Georgia Institute of Technology)
  49. The Art of Social Bots: A Review and a Refined Taxonomy
    Majd Latah · 2019 · arXiv (Cornell University)
  50. Political Elections Under (Social) Fire? Analysis and Detection of Propaganda on Twitter
    Ansgar Kellner, Lisa Rangosch, Christian Wressnegger, Konrad Rieck · 2019 · arXiv (Cornell University)
  51. An organized review of key factors for fake news detection
    Nuno Guimar�ães, Álvaro Figueira, Luı́s Torgo · 2021 · arXiv (Cornell University)
  52. SOK: Fake News Outbreak 2021: Can We Stop the Viral Spread?
    Tanveer Khan, Antonis Michalas, Adnan Akhunzada · 2021 · arXiv (Cornell University)
  53. Streamlining Telecom Customer Support with AI-Enhanced IVR and Chat
    Puneet pal singh · 2025 · Preprints.org
  54. Classification of unlabeled online media
    Sakthi Kumar Arul Prakash, Conrad S. Tucker · 2021 · Scientific Reports
  55. Bot Versus Humans: Who Can Challenge Corporate Hypocrisy on Social Media?
    S. Armstrong, C. Neal, Rong-Wei Tang, Hyejoon Rim, E. Vraga · 2024 · Social Media + Society
  56. Relationship Between Tweet Frequency and User Velocity on Twitter
    So-Young Jeon, Al-Chan Lee, Go-Eun Seo, Won-Yong Shin · 2015 · The Journal of the Korean Institute of Information and Communication Engineering
  57. Just the Facts: Winnowing Microblogs for Newsworthy Statements using Non-Lexical Features
    Nigel Dewdney, Rachel Cotterill · 2018 · Lecture notes in computer science
  58. QuickStop
    Honghao Wei, Xiaohan Kang, Weina Wang, Lei Ying · 2019 · ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS)
  59. Detecting Automatically Generated Tweets Using Lexical Analysis and Profile Credibility
    Nishan Chathuranga Wickramarathna, Gamage Upeksha Ganegoda · 2019 · International Conference on Information Technology Research (ICITR)
  60. Social Network Users Profiling Using Machine Learning for Information Security Tasks
    Elizaveta Dubasova, Artem Berdashkevich, Georgy Kopanitsa, Pavel P. Kashlikov, Oleg Metsker · 2022 · Conference of Open Innovations Association (FRUCT)
  61. Detection of malicious associative affinity factor analysis for bot detection using learning automata with URL features in Twitter network
    Kumbala Pradeep Reddy, M. Parimala, Madireddy Swetha, Nelluru Laxmi Prathyusha · 2023 · AIP conference proceedings
  62. Multi-Layer Ranking with Large Language Models for News Source Recommendation
    Wenjia Zhang, Lin Gui, Rob Procter, Yulan He · 2024 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
  63. Fake News in Developing Countries: Drivers, Mechanisms and Consequences
    Vincent Mwendwa Masavah, Marita Turpin · 2024 · IFIP advances in information and communication technology
  64. Profiling Astroturfers on Facebook: A Complete Framework for Labeling, Feature Extraction, and Classification
    Jonathan Schler, Elisheva Bonchek-Dokow · 2024 · Machine Learning and Knowledge Extraction
  65. Black marketed collusive users primary dataset from twitter/x online social media
    Suruchi Sabherwal, Bhawna Saxena, Adwitiya Sinha · 2024 · Social Network Analysis and Mining
  66. Social Media Bot Policies: Evaluating Passive and Active Enforcement
    Kristina Radivojevic, Christopher McAleer, Catrell Conley, Cormac Kennedy, Paul R. Brenner · 2024 · International Conference on Social Networks Analysis, Management and Security (SNAMS)
  67. Russian Cyber Disinformation Campaigns and Possible Countermeasures
    Michael R. C. Williams, Neil C. Rowe · 2025 · Communications in computer and information science
  68. Higher-Order Information Matters: A Representation Learning Approach for Social Bot Detection
    Min Gao, Qiang Duan, Boen Liu, Yu Xiao, Xin Wang, Yang Chen · 2025 · ACM International Conference on Information and Knowledge Management (CIKM)
  69. Mining Credible and Relevant News from Social Networks
    Ankur Garg, Varun Syal, Pankaj Gudlani, Dhaval Patel · 2017 · Lecture notes in computer science
  70. SOSYAL BOT ALGILAMA TEKNİKLERİ VE ARAŞTIRMA YÖNLERİ ÜZERİNE BİR İNCELEME
    Arzum Karataş, Serap Şahin · 2018 · ULUSLARARASI BİLGİ GÜVENLİĞİ MÜHENDİSLİĞİ DERGİSİ
  71. Bots and Gender Profiling using Masking Techniques.
    Víctor Jiménez-Villar, Javier Sánchez-Junquera, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda, Simone Paolo Ponzetto · 2019 · CLEF (Working Notes)
  72. Advanced Models for Stylometric Applications
    Jacques Savoy · 2020 · Springer eBooks
  73. Socialbots: Implications on the Safety and Reliability of Twitter-Based Services
    Carlos A. Freitas, Fabrí­cio Benevenuto, Adriano Veloso · 2014 · Brazilian Symposium on Computer Networks and Distributed Systems (SBRC)
  74. Discrimination of Zombie Fans on Weibo based on Features Extraction and Business-Driven Analysis
    Hongxun Jiang, Yibo Wang, Mengjun Zhu · 2015 · International Conference on Electronic Commerce
  75. Analyzing Online Location-Based Social Networks for Malicious User Detection
    Ahsan Basharat Hussain, Bettahally N. Keshavamurthy · 2018 · Advances in intelligent systems and computing
  76. Detecting Suspicious Members in an Online Emotional Support Service
    Yu Li, Dae Wook Kim, Junjie Zhang, Derek Doran · 2018 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  77. Bots By Topic
    Kurt Wirth, Ericka Menchen-Trevino, Ryan T. Moore · 2019 · International Conference on Social Media and Society (SMSociety)
  78. What sets Verified Users apart?
    Indraneil Paul, Abhinav Khattar, Shaan Chopra, Ponnurangam Kumaraguru, Manish Gupta · 2019 · ACM Web Science Conference (WebSci)
  79. Продвижение лидера или популяризация повестки? Агентно-ориентированная модель применения ботов в социальных сетях
    Денис Стукал, Илья Борисович Филиппов · 2022 · Monitoring obŝestvennogo mneniâ: èkonomičeskie i socialʹnye peremeny
  80. Community Spam Detection Methodologies for Recommending Nodes
    2019 · International Journal of Recent Technology and Engineering (IJRTE)
  81. Detection of Malicious Social Bots with the Aid of Learning Automata on Twitter
    Swati Vashisht, Sushil Kumar Gupta, Atul Fegade, Shiv Ashish Dhondiyal, Rohit Kumar, G. Revathy · 2022 · International Conference on Contemporary Computing and Informatics (IC3I)
  82. Spot the Bot: Distinguishing Human-Written and Bot-Generated Texts Using Clustering and Information Theory Techniques
    Vasilii A. Gromov, Quynh Nhu Dang · 2023 · Lecture notes in computer science
  83. Artificial intelligence for detecting fake news on social media - attitude survey
    Ana Kovačević, Emir Demić · 2023 · Medjunarodni problemi
  84. Modelling and predicting online vaccination views using bow-tie decomposition
    Yueting Han, Marya Bazzi, Paolo Turrini · 2024 · Royal Society Open Science
  85. Discussion: To Bot or Not? Challenging the Top Social Media Influencers in #PlasticSurgery
    Smita R. Ramanadham · 2018 · Plastic & Reconstructive Surgery
  86. Cyber personalities in adaptive target audiences
    Miika Sartonen, P. E. Simola, Lauri Lovén, Jussi Timonen · 2019 · Elsevier eBooks
  87. Social Media in English and Russian Language Consciousness. Article 1. Psycholinguistic experiments
    Svetlana Sergeevna Shlyakhova, Nikita Klyuev · 2020 · PSYCHOLINGUISTICS
  88. Analysis and Detection of Unreliable Users in Twitter: Two Case Studies
    Nuno Guimar�ães, Álvaro Figueira, Luı́s Torgo · 2020 · Communications in computer and information science
  89. Next Generation Information Warfare: Rationales, Scenarios, Threats, and Open Issues
    Roberto Di Pietro, Maurantonio Caprolu, Simone Raponi · 2020 · Communications in computer and information science
  90. ECharacterize: A Novel Feature Selection-Based Framework for Characterizing Entrepreneurial Influencers in Arabic Twitter
    Bodor Moheel Almotairy, Manal Abdullah, Rabeeh Ayaz Abbasi · 2020 · International Journal of Interactive Mobile Technologies (iJIM)
  91. The Gravy Value: A Set of Features for Pinpointing BOT Detection Method
    Semi Park, Kyungho Lee · 2020 · Lecture notes in computer science
  92. Buzzer Detection on Indonesian Twitter using SVM and Account Property Feature Extension
    Yuliant Sibaroni, Sri Suryani Prasetiyowati · 2022 · Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
  93. What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter
    Indraneil Paul, Abhinav Khattar, Shaan Chopra, Ponnurangam Kumaraguru, Manish Gupta · 2019 · arXiv (Cornell University)
  94. Reverse Engineering Socialbot Infiltration Strategies in Twitter
    Carlos A. Freitas, Fabrí­cio Benevenuto, Saptarshi Ghosh, Adriano Veloso · 2014 · arXiv (Cornell University)
  95. Behavioral Modeling of Persian Instagram Users to detect Bots
    Muhammad Bazm, Masoud Asadpour · 2020 · arXiv (Cornell University)
  96. Networks of Incivility on Twitter: The Changing Geography of Hate Speech in a New Social Media Landscape
    Jena Jendrowski · 2019
  97. Analysis of Malicious Behavior on Social Media Platforms Using Agent-Based Modeling
    Agnieszka Onuchowska · 2020 · Digital Commons - University of South Florida (University of South Florida)
  98. N-Gram-Based Machine Learning Approach for Bot or Human Detection from Text Messages
    Durga Prasad Kavadi, Chandra Sekhar Sanaboina, Rizwan Patan, Amir H. Gandomi · 2022 · International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence (ISMSI)
  99. Exploring News-Feed Credibility using Emerging Machine Learning and Deep Learning Models
    D. Aju, Kakelli Anil Kumar, Anisha M. Lal · 2022 · Journal of Engineering Science and Technology Review
  100. Real-Time Twitter Data Analysis: A Survey
    Hakar Mohammed Rasul, Alaa Khalil Jumaa · 2022 · UHD Journal of Science and Technology