Arming the public with artificial intelligence to counter social bots

Yang, Kai‐Cheng, Varol, Onur, Davis, Clayton A., Ferrara, Emilio, Flammini, Alessandro, Menczer, Filippo·2019·Human Behavior and Emerging Technologies

Cited by (415)

Items 301–400 of 415

  1. Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification
    Lulwah Alkulaib, Chang‐Tien Lu · 2023 · IEEE International Conference on Big Data (BigData)
  2. Public interest in science or bots? Selective amplification of scientific articles on Twitter
    Ashiqur Rahman, Ehsan Mohammadi, Hamed Alhoori · 2024 · Aslib Journal of Information Management
  3. 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
  4. An Analysis of Relationship Between Social Bots and Echo Chambers on X in Modern Japan
    Shuhei Ippa, Takao Okubo, Masaki Hashimoto · 2024 · International Symposium on Computing and Networking
  5. Videos engaging in conspiracy theories: Promoting or refuting foreign-pseudohistory on the video-sharing website (Bilibili)
    Yi Zhu, Yichao Wang, Siyuan Ma · 2025 · PLoS ONE
  6. Unmasking social bots: how confident are we?
    James Giroux, Gangani Ariyarathne, Alexander C. Nwala, C. Fanelli · 2025 · EPJ Data Science
  7. The Dark Side of AI
    Arun Agrawal, Jagveer Singh · 2025 · Advances in social networking and online communities book series
  8. A Novel Hybrid Algorithm for Fake News Detection
    Prateema Sharma, Wisam Subhi Al-Dayyeni, Tapsi Nagpal, Arun Kumar Rana, Rahul Vivek Purohit, Ahmed E Elaraby · 2025 · Digital Threats Research and Practice
  9. Analyzing X mentions to uncover micro-clusters interfering in political campaigns: a case study during the Spanish elections
    Francisco José García-Ull, Bruno Broseta-Dupré, José María Lamirán-Palomares · 2025 · Frontiers in Communication
  10. Unveiling emotional contagion in COVID-19 misinformation: Computational analysis for public health crisis surveillance
    Qiuyi Chen, Qian Liu · 2025 · Health Informatics Journal
  11. Advanced text-based transformer architecture for malicious social bots detection
    Zineb Ellaky, Faouzia Benabbou · 2025 · Mathematical Modeling and Computing
  12. Simulating Advanced Social Botnets: A Framework for Behavior Realism and Coordinated Stealth
    Rui Jin, Yong Liao · 2025 · Information
  13. BotArtist: Generic Approach for Bot Detection in Twitter via Semi-automatic Machine Learning Pipeline
    Alexander Shevtsov, Despoina Antonakaki, Ioannis Lamprou, Polyvios Pratikakis, Sotiris Ioannidis · 2026 · Lecture notes in computer science
  14. FATe of Bots: Ethical Considerations of Social Bot Detection
    Lynnette Hui Xian Ng, Ethan Pan, Michael Miller Yoder, Kathleen M. Carley · 2026 · ACM Journal on Responsible Computing
  15. Hybrid Feature Selection Framework for Machine Learning-based Bot Detection on Social Media
    Amina Guendouz, Fatima Boumahdi, Mohamed Abdelkarim Remmide · 2026 · Journal of Telecommunications and Information Technology
  16. Detecting Abnormal Social Network Accounts with Hurst of Interest Distribution
    Xiujuan Wang, Yi Sui, Yuanrui Tao, Qianqian Zhang, Jianhua Wei · 2021 · Security and Communication Networks
  17. Sewol Ferry Disaster
    Hyunjin Seo · 2021
  18. How Will Information Services of Social Media Portals Change in the Future When Artificial Intelligence is implemented?
    Mir Kasi, Rubina Shaheen · 2020 · European Journal of Technology
  19. Social support and positivity: Analyzing user-generated comments on the Instagram pages of two Brazilian cancer hospitals
    Priscila Biancovilli, Macchiute de Oliveira Eloy, Lilian Thomer, Cláudia Jurberg · 2022 · Journal of Media and Communication Studies
  20. The power of algorithms and keys of participation
    José Esteves · 2022 · Routledge eBooks
  21. Australians’ shifting concerns about mis- and disinformation
    Kieran McGuinness, Caroline Fisher, Jee Young Lee · 2022 · Australian Journal of Political Science
  22. Social Media Fake Profile Classification: A New Machine Learning Approach
    Nitika Kadam, Sanjeev Kumar Sharma · 2023 · Lecture notes in networks and systems
  23. Climate nags: Affect and the convergence of global risk in online networks
    Jessica Yarin Robinson · 2023 · Continuum
  24. Entropy-Based Automation Detection on Twitter Using DNA Profiling
    Rosario Gilmary, Akila Venkatesan · 2023 · SN Computer Science
  25. Quantifying Bot Impact: An Information-Theoretic Analysis of Complexity and Uncertainty in Online Political Communication Dynamics
    Beril Bulat, Martin Hilbert · 2025 · Entropy
  26. JAVA Architecture of Chinese Online Guiding Systematic Framework based on Data Mining and Artificial Intelligence
    Jing Yang · 2020 · International Conference on Inventive Computation Technologies (ICICT)
  27. Cranks and Charlatans and Deepfakes
    Mark K. Hinders, Spencer Lee Kirn · 2020 · Springer eBooks
  28. Um Modelo Baseado em Regras para a Detecção de bots no Twitter
    Maria Alice Gomes Lopes Leite, Marcus Vinícius Carvalho Guelpeli, Caroline Queiroz Santos · 2020
  29. Authorship analysis of English and Spanish tweets
    Mohammed Nour Al-Rashdan, Malak Abdullah, Mahmoud Al‐Ayyoub · 2020 · Proceedings of the Association for Information Science and Technology
  30. Understanding the Landscape of Online Deception
    Hicham Hage, Esma Aı̈meur, Amel Guedidi · 2020 · IGI Global eBooks
  31. Red Bots Do It Better: Comparative Analysis of Social Bot Partisan Behavior
    Luca Luceri, Ashok Deb, Adam Badawy · 2019 · arXiv (Cornell University)
  32. Detecting Propaganda on the Sentence Level during the COVID-19 Pandemic
    Rong-Ching Chang, Chu‐Hsing Lin · 2021 · arXiv (Cornell University)
  33. Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Crime
    Gian Maria Campedelli · 2019 · SSRN Electronic Journal
  34. Quantifying Collective Identity Online From Self-defining Hashtags
    Alexander T. J. Barron, Johan Bollen · 2021 · Research Square
  35. Artificial Intelligence in the Service of Health and Safety at Work: Perspectives and Challenges From Now to 2035 - A Prospective Study
    Marc Malenfer, Michaël Sarrey, Jennifer Clerté, Michel Héry, Martin Bieri, Bertrand Braunschweig, Régis Chatellier, Nazim Fatès, Sylvain Halluin, François de Jouvenel et al. · 2024 · Qeios
  36. The Moltbook Illusion: Separating Human Influence from Emergent Behavior in AI Agent Societies
    Li, Ning · 2026 · arXiv
  37. Understanding misinformation on Twitter in the context of controversial issues
    Aseel Addawood · 2019 · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
  38. Analysis of Flickr, Snapchat, and Twitter use for the modeling of visitor activity in Florida State Parks
    Hartwig Henry Hochmair, Levente Juhász · 2019 · Florida International University Digital Commons (Florida International University)
  39. People, Intangibles and Digital Transformation
    Valter Martins Vairinhos, Florinda Matos, Leif Edvinsson · 2020 · Contributions to management science
  40. Internet – the First Source of (dis)Information
    Danuta Smołucha · 2020 · Perspektywy Kultury
  41. Measuring Human–Bot Interactions
    Onur Varol · 2020 · The International Encyclopedia of Media Psychology
  42. A comparative study of Bot Detection techniques methods with an application related to Covid-19 discourse on Twitter
    Marzia Antenore, Jose M. Camacho-Rodriguez, Emanuele Panizzi · 2021 · arXiv (Cornell University)
  43. Artificial intelligent for speech reproduction of information and knowledge of ancient books
    Liming Tang, Li Chong-yu · 2021 · International Conference on Artificial Intelligence and Smart Energy (ICAIS)
  44. Revealing the Blackmarket Retweet Game: A Hybrid Approach
    Shreyash Arya, Hridoy Sankar Dutta · 2021 · Communications in computer and information science
  45. Social bots versus real humans : the framing of 'Trump's Wall' on Twitter
    Natalie Parra-Novosad · 2020
  46. BOTTER: A framework to analyze social bots in Twitter
    Javier Pastor-Galindo, Félix Gómez Mármol, Gregorio Martínez Pérez · 2021 · arXiv (Cornell University)
  47. Detecting Bots Using a Hybrid Approach
    Edmund Kofi Genfi · 2021
  48. From complex to neural networks
    Nicola Amoroso, Loredana Bellantuono · 2021 · Elsevier eBooks
  49. Detecting Propaganda Techniques in Memes
    Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino · 2021 · arXiv (Cornell University)
  50. Towards Understanding Trends Manipulation in Pakistan Twitter
    Soufia Kausar, Bilal Tahir, Muhammad Amir Mehmood · 2021 · arXiv (Cornell University)
  51. Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning.
    Thai Le, Long Tran-Thanh, Dongwon Lee · 2021 · arXiv (Cornell University)
  52. The Changing Information Ecosystem in South Korea
    Hyunjin Seo · 2021
  53. Conclusion
    Hyunjin Seo · 2021
  54. Networked Collective Action and the Impeachment of President Park
    Hyunjin Seo · 2021
  55. After the Candles Were Extinguished
    Hyunjin Seo · 2021
  56. Candlelight Vigils and Citizen Activism
    Hyunjin Seo · 2021
  57. Park’s Supporters Fight Back
    Hyunjin Seo · 2021
  58. Introduction
    Hyunjin Seo · 2021
  59. Agent-Affordance Framework of Networked Collective Actions
    Hyunjin Seo · 2021
  60. Identifying Bots on Twitter with Benford’s Law
    Sanmesh Bhosale · 2021
  61. Assessing the role of social bots during the early COVID-19 pandemic: infodemic, disagreement and criticism (Preprint)
    Víctor Suárez-Lledó, Javier Álvarez‐Gálvez · 2021
  62. A Geolocated Dataset of COVID-19 Pandemic: Tweets with Location Information
    Iqbal Mohammed, Ahmed Saleem Abbas · 2021 · International Conference on Engineering Technology and its Applications (IICETA)
  63. Fake Rating Analysis from the Movie Dataset: Using Supervised Techniques
    Ms. Nirmal Kaur · 2022 · International Journal for Research in Applied Science and Engineering Technology
  64. Censorship on social media: The gatekeeping functions of shadowbans in the American Twitterverse
    Kokil Jaidka, Subhayan Mukerjee, Yphtach Lelkes B · 2022 · SSRN Electronic Journal
  65. A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers Model
    Mrs. K. Pazhanivel, Ajai Kumar. B, M Mageshwaran., K Dhivakar. · 2022 · International Journal of Advanced Research in Science Communication and Technology
  66. References
    Shaun Wilson · 2021 · Policy Press eBooks
  67. Quantifying the Vulnerabilities of the Online Public Square to Manipulation Tactics
    Bao Tran Truong, Xiaodan Lou, Alessandro Flammini, Filippo Menczer · 2023 · Research Square
  68. How to Find Social Robots exactly?
    Jianwei Ding, Zhouguo Chen · 2023
  69. Overview of the Twitter conversation around #14F 2021 Catalonia regional election: analysis of echo chambers and presence of social bots
    Raul Broto Cervera, Cristina Pérez‐Solà, Albert Batlle · 2023 · Research Square
  70. Detection of Computational Propaganda on Social Networks: A Survey
    Bodor Moheel Almotairy, Manal Abdullah, Dimah Hussein Alahmadi · 2023 · Lecture notes in networks and systems
  71. X Bots and Earnings Announcements
    Jan Hanousek Jr., Jan Hanousek, Konstantin Sokolov · 2023 · SSRN Electronic Journal
  72. Information Influence on the Virtual Community: Implementation Features and Method of Detection in Social Internet Services
    К. В. Молодецька, Сергій Веретюк, Irada Rahimova · 2023 · International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)
  73. Social Robot Detection Based on User Behavioral Representation
    Xiaowen Ma, Zhaojie Yan, Yongjun Li · 2023 · SSRN Electronic Journal
  74. 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
  75. What is the best time to tweet a journal article? Quasi-randomized controlled trial
    Leonardo Ferreira Fontenelle, Thiago Dias Sarti · 2024 · AtoZ novas práticas em informação e conhecimento
  76. On the Influence and Political Leaning of Overlap between Propaganda Communities
    Anirban Sen, Soumyasis Gun, Soham De, Joyojeet Pal · 2024 · ACM Journal on Computing and Sustainable Societies
  77. The Role of Followers and Followees in the Adoption of Innovations
    Mor Atlas, Arieh Gavious, Gilad Ravid · 2023 · Hawaii International Conference on System Sciences (HICSS)
  78. Bot Politics: The Affordances of Twitter and Nonhuman Participation
    Mina Momeni · 2024
  79. BOTS EM REDES SOCIAIS
    Amanda Freitas · 2024 · Perspectivas Sociais
  80. Social Media as an Agent of Influence: Twitter Bots in Russia - Ukraine War
    Muhammed Hayati Taban, İsmail Gür · 2024 · Güvenlik Stratejileri Dergisi
  81. Copyright Page
    Hyunjin Seo · 2022
  82. Timeline of Events Related to Park Geun-hye Impeachment
    Hyunjin Seo · 2022
  83. Notes
    Hyunjin Seo · 2022
  84. List of Interviews
    Hyunjin Seo · 2022
  85. Trust of Citizens?—Reasoned Distrust Might Be a Better Plan
    Caroline Platts, Fiona Carroll · 2024 · Lecture notes in networks and systems
  86. Cultural Violence and Peace Interventions in Social Media
    Marc–André Kaufhold, Jasmin Haunschild, Christian Reuter · 2024 · Technology, peace and security
  87. The Relationship Between Emotional and Other Factors in Information Diffusion
    Shuhei Ippa, Takao Okubo, Masaki Hashimoto · 2025 · IEEE Access
  88. OSN Bots Traffic Transformer : MAE-Based Multimodal Social Bots Behavior Pattern Mining
    Haonan Zhai, Ruiqi Liang, Zhenzhen Li · 2024 · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
  89. The Robot's “Myths of Nature”: A Mixed-Methods Analysis of Twitter Social Bots Discussing Climate Change in Africa
    Hao Gao, Li Peng, Han Wang · 2025 · African Journalism Studies
  90. Enhanced Multi-model Approach for Social Media Bots Recognition Systems Using Imbalanced Dataset
    Zineb Ellaky, Faouzia Benabbou, Chaimaa Bouaine · 2025 · Lecture notes in networks and systems
  91. Digital Manipulation
    Eleni Maria Nisotaki, Constantinos Mourlas · 2025 · Advances in wireless technologies and telecommunication book series
  92. A Process for Building Datasets that Enable the Application of Different Methods for Detecting Fake News and Social Bots
    Jeferson Luis Gonçalves, Lucas Barboza de Menezes Torres, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt · 2025 · Brazilian Symposium on Information Systems
  93. The Influence of Social Media Bots on Financial Markets
    Mahnaz Paydarzarnaghi, David A. Rakowski · 2025 · SSRN Electronic Journal
  94. Modelagem de Tópicos sobre Preferências de Bots em Tweets da CPI da COVID-19 no Brasil
    Gabriel Arruda, Anderson Castro Soares de Oliveira, Lia Hanna Martins Morita, José Nilton da Cruz · 2025 · Semina Ciências Exatas e Tecnológicas
  95. Fake-Profile Identification in Social Media using Transformer based Algorithm
    K. Pon Karthika, P. Balasubramanie, Nithish Kumar R · 2025 · International Conference on Computing Methodologies and Communication (ICCMC)
  96. Naming Names
    Debora Souza, Gabriela Beltrão, Sónia Sousa, Farhat-Ul Farhat-ul-Ain · 2025 · European Conference on Cognitive Ergonomics
  97. Informing
    Ambre Gambin · 2025
  98. An Improved DBSCAN Clustering Algorithm for Bot Detection on Twitter
    Raad Al-azawi, Safaa O. Al‐Mamory · 2025 · Communications in computer and information science
  99. Bot-Induced Social Media Manipulation and Stock Market Distortion
    Daniel Bradley, Jan Hanousek, Jan Hanousek · 2025 · SSRN Electronic Journal
  100. The anatomy of conspiratorial infodemic: exploring super-spreaders in COVID-19 discourse on Twitter
    Chun Shao, K. Hazel Kwon · 2025 · Quality & Quantity