Arming the public with artificial intelligence to counter social bots

Cited by (415)

Items 201–300 of 415

  1. Mining Social Media (Twitter) Data for Corporate Image Analysis: A Case Study in the Indonesian Mining Industry
    D. Fahmi, Hartoyo, N. Zulbainarni · 2021 · Journal of Physics Conference Series
  2. Task-agnostic representation learning of multimodal twitter data for downstream applications
    Ryan Rivas, Sudipta Paul, Vagelis Hristidis, Evangelos E. Papalexakis, Amit K. Roy–Chowdhury · 2022 · Journal Of Big Data
  3. DNA-influenced automated behavior detection on twitter through relative entropy
    Rosario Gilmary, V. Akila, Govindasamy Vaiyapuri, Deepikashini Balamurali · 2022 · Scientific Reports
  4. Imposter Paranoia in the Age of Intelligent Surveillance
    Tereza Østbø Kuldova · 2020 · Journal of Extreme Anthropology
  5. #MakeSwedenGreatAgain: Media events as politics in the deterritorialised nationalism debate
    Jessica Yarin Robinson, Gunn Sara Enli · 2022 · Nordic Journal of Media Studies
  6. Birdspotter
    Rohit Ram, Quyu Kong, Marian-Andrei Rizoiu · 2021 · ACM International Conference on Web Search and Data Mining (WSDM)
  7. The Future of Artificial Intelligence and Machine Learning in Online Social Networking
    Amit Kumar Tyagi, Ajanthaa Lakkshmanan, Sayed Sayeed Ahmad · 2024
  8. MentalSpot
    Jahandad Pirayesh, Haiquan Chen, Xiao Qin, Wei‐Shinn Ku, Da Yan · 2021 · ACM International Conference on Information and Knowledge Management (CIKM)
  9. Measuring the impact of candidates’ tweets on their electoral results
    Evangelia Kartsounidou, Dimitra Papaxanthi, Ioannis Andreadis · 2022 · Journal of Information Technology & Politics
  10. Tracing the dynamics of misinformation and vaccine stance in Finland amid COVID-19
    Ali Ünlü, Sophie Truong, Nitin Sawhney, Jonas Sivelä, Tuukka Tammi · 2024 · Information Communication & Society
  11. Computational Analysis of Bot Activity in the Asia-Pacific: A Comparative Study of Four National Elections
    Joshua Uyheng, Kathleen M. Carley · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  12. Bayesian identification of bots using temporal analysis of tweet storms
    Spencer Lee Kirn, Mark K. Hinders · 2021 · Social Network Analysis and Mining
  13. Malicious accounts detection from online social networks: a systematic review of literature
    Imen Ben Sassi, Sadok Ben Yahia · 2021 · International Journal of General Systems
  14. Account credibility inference based on news-sharing networks
    B. Truong, Oliver Melbourne Allen, F. Menczer · 2022 · EPJ Data Science
  15. ‘The Tireless Selling-Machine’ – Commercial Deployment of Social Bots during Black Friday Season on Twitter
    Felix Brünker, Julian Marx, Björn Roß · 2020
  16. SEBD: A Stream Evolving Bot Detection Framework with Application of PAC Learning Approach to Maintain Accuracy and Confidence Levels
    Eiman Alothali, Kadhim Hayawi, Hany Alashwal · 2023 · Applied Sciences
  17. What News Is Shared Where and How: A Multi-Platform Analysis of News Shared During the 2022 U.S. Midterm Elections
    Christine Sowa Lepird, Lynnette Hui Xian Ng, Anna Wu, Kathleen M. Carley · 2024 · Social Media + Society
  18. DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection
    Nuoyan Lyu, Bingbing Xu, Fangda Guo · 2023 · ACM International Conference on Information and Knowledge Management (CIKM)
  19. First public dataset to study 2023 Turkish general election
    Ali Najafi, Ni̇hat Muğurtay, Yasser Zouzou · 2024 · Scientific Reports
  20. Privacy Concerns in Online Social Networks: A Users’ Perspective
    Ahmad Ali, Ahmad Kamran, Mansoor Ahmed, Basit Raza, Muhammad Ilyas · 2019 · International Journal of Advanced Computer Science and Applications
  21. Tipping the scales: how geographical scale affects the interpretation of social media behavior in crisis research
    Rachel Samuels, Jiajia Xie, Neda Mohammadi, John Eric Taylor · 2022 · Natural Hazards
  22. 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
  23. CALEB: A Conditional Adversarial Learning Framework to enhance bot detection
    Ilias Dimitriadis, George Dialektakis, Athena I. Vakali · 2023 · Data & Knowledge Engineering
  24. Use & Abuse of Personal Information, Part II: Robust Generation of Fake IDs for Privacy Experimentation
    Jack Kolenbrander, Ethan Husmann, Christopher Henshaw, Elliott Rheault, Madison Boswell, Alan J. Michaels · 2024 · Journal of Cybersecurity and Privacy
  25. Cognitive Robotics on 5G Networks
    Zhihan Lv, Liang Qiao, Qingjun Wang · 2021 · ACM Transactions on Internet Technology
  26. Disagree? You Must be a Bot! How Beliefs Shape Twitter Profile Perceptions
    Magdalena Wischnewski, Rebecca Bernemann, Thao Ngo · 2021
  27. 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. · 2023 · Qeios
  28. Are automated accounts driving scholarly communication on Twitter? a case study of dissemination of COVID-19 publications
    Yingxin Estella Ye, Jin‐Cheon Na, Poong Oh · 2022 · Scientometrics
  29. Unveiling the Veiled Threat: The Impact of Bots on COVID-19 Health Communication
    Ali Ünlü, Sophie Truong, Nitin Sawhney, Tuukka Tammi · 2024 · Social Science Computer Review
  30. Socialbots at the Gates. Plädoyer für eine holistische Perspektive auf automatisierte Akteure in der Umwelt des Journalismus
    Florian Muhle · 2022 · Medien & Kommunikationswissenschaft
  31. Manipify: An Automated Framework for Detecting Manipulators in Twitter Trends
    Soufia Kausar, Bilal Tahir, Muhammad Amir Mehmood · 2023 · Journal of Social Computing
  32. AI and Influencer Marketing
    Manjit Kour, Rajinder Kour · 2024 · Advances in business information systems and analytics book series
  33. Understanding the Landscape of Online Deception
    Hage, Hicham, Aïmeur, Esma, Guedidi, Amel · 2020 · Advances in Media, Entertainment, and the Arts
  34. Semi-GSGCN: Social Robot Detection Research with Graph Neural Network
    Xiujuan Wang, Qianqian Zheng, Kangfeng Zheng, Yi Sui, Jiayue Zhang · 2020 · Computers, materials & continua/Computers, materials & continua (Print)
  35. The Manufacture of Political Echo Chambers by Follow Train Abuse on Twitter.
    Christopher Torres-Lugo, Kai-Cheng Yang, Filippo Menczer · 2020 · arXiv (Cornell University)
  36. 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
  37. Online Discourse and Social Media
    Pam Nilan · 2021 · Alternatives and futures
  38. Five Hundred Days of Farsi Twitter
    Layla Hashemi, Steven Lloyd Wilson, Constanza Sanhueza Petrarca · 2022 · Journal of Quantitative Description Digital Media
  39. Push-to-Trend: A Novel Framework to Detect Trend Promoters in Trending Hashtags
    Soufia Kausar, Bilal Tahir, Muhammad Amir Mehmood · 2022 · IEEE Access
  40. Twitter Bot Identification: An Anomaly Detection Approach
    Lulwah Alkulaib, Lei Zhang, Yan-Shen Sun, Chang-Tien Lu · 2022 · 2022 IEEE International Conference on Big Data (Big Data)
  41. Long-term assessment of social amplification of risk during COVID-19: challenges to public health agencies amid misinformation and vaccine stance
    Ali Ünlü, Sophie Truong, Nitin Sawhney, Jonas Sivelä, Tuukka Tammi · 2024 · Journal of Computational Social Science
  42. Leveraging Machine Learning algorithms for Fake Profile Detection on Instagram
    R. R. Arunprakaash, R. Nathiya · 2024 · International Conference on Circuit, Power and Computing Technologies
  43. Deep Temporal Analysis of Twitter Bots
    Gayathri Rajendran, Arjun Ram, Vishnu Vijayan, Prabaharan Poornachandran · 2020 · Communications in computer and information science
  44. Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era
    Preslav Nakov, Giovanni Da San Martino · 2020
  45. Modeling Information Cascades with Self-exciting Processes via Generalized Epidemic Models
    Quyu Kong, Marian-Andrei Rizoiu, Lexing Xie · 2019 · arXiv (Cornell University)
  46. Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and Research on Crime
    Gian Maria Campedelli · 2019
  47. Digital Marketing and Artificial Intelligence
    Jonathan Romic · 2024 · Elsevier eBooks
  48. 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
  49. Tweeting Russian Politics: Studying Online Political Dynamics
    Mikhail Zherebtsov, Sergei Goussev · 2020 · Springer eBooks
  50. Detecting Bots in Misinformation Campaigns: Strategies and Societal Implications
    Himanshu Mishra, Pallavi Singh, Melbin Kurien · 2025
  51. Interpreting Classification Models Using Feature Importance Based on Marginal Local Effects
    Rogério Luiz Cardoso Silva Filho, Paulo J. L. Adeodato, Kellyton dos Santos Brito · 2021 · Lecture notes in computer science
  52. 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
  53. Analysis of user's car parking behaviour through twitter hashtags
    Nabil Arhab, Mourad Oussalah, Yazid Bounab · 2022 · Expert Systems
  54. Overview of the Twitter conversation around #14F 2021 Catalonia regional election: an analysis of echo chambers and presence of social bots
    Raul Broto Cervera, Cristina Pérez‐Solà, Albert Batlle · 2024 · Social Network Analysis and Mining
  55. CURRENT RESEARCH OF INFORMATION INFLUENCES IN SOCIAL NETWORKS
    Oleksandr Tkachenko, Anna Ilyenko, Oleksandr S. Ulichev, Єлизавета Владиславівна Мелешко, Liliya Galata · 2025 · Cybersecurity Education Science Technique
  56. South African bot behaviour post the July 2018 Twitter account cull
    Coral Featherstone · 2019 · International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems (icABCD)
  57. Toward Limiting Social Botnet Effectiveness while Detection Is Performed: A Probabilistic Approach
    Matthew Spradling, Mark Allison, Tsenguun Tsogbadrakh, Jay Strong · 2019 · International Conference on Computational Science and Computational Intelligence (CSCI)
  58. Networked Collective Actions
    Hyunjin Seo · 2021
  59. TG-OUT: temporal outlier patterns detection in Twitter attribute induced graphs
    Ilias Dimitriadis, Marinos Poiitis, Christos Faloutsos, Athena I. Vakali · 2022 · World Wide Web
  60. Diskurse – digital
    Deutsche Forschungsgemeinschaft, Eva Gredel · 2022 · De Gruyter eBooks
  61. Evaluation of social bot detection models
    Muhammet Buğra Torusdağ, Mücahid Kutlu, Ali Aydın Selçuk · 2022 · TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES
  62. How Many Features Do We Need to Identify Bots on Twitter?
    Fatima Tabassum, Sameera Mubarak, Lin Liu, Jia Tina Du · 2023 · Lecture notes in computer science
  63. Measuring the Interference Effect of Bots in Disseminating Opposing Viewpoints Related to COVID-19 on Twitter Using Epidemiological Modeling
    Maryam Maleki, Esther Mead, Mohammad Arani, Nitin Agarwal · 2023 · Hawaii International Conference on System Sciences (HICSS)
  64. The Effect of Artificial Intelligence on the Accounting Profession
    Dima Saeed Abdulhay · 2024 · Advances in finance, accounting, and economics book series
  65. A Nudge to Credible Information as a Countermeasure to Misinformation: Evidence from Twitter
    Elina H. Hwang, Stephanie Lee · 2021 · SSRN Electronic Journal
  66. Exposure to social bots amplifies perceptual biases and regulation propensity
    Harry Yaojun Yan, Kai‐Cheng Yang, James E. Shanahan · 2022
  67. Ridge count thresholding to uncover coordinated networks during onset of the Covid-19 pandemic
    Spencer Lee Kirn, Mark K. Hinders · 2022 · Social Network Analysis and Mining
  68. An Analysis of Social Bot Activity on X in Modern Japan
    Shuhei Ippa, Takao Okubo, Masaki Hashimoto · 2024 · IEEE Access
  69. Social robot detection based on user behavioral representation
    Xiaowen Ma, Zhaojie Yan, Yongjun Li · 2024 · Information Sciences
  70. Prevention Is Better than Cure: Exposing the Vulnerabilities of Social Bot Detectors with Realistic Simulations
    Rui Jin, Yong Liao · 2025 · Applied Sciences
  71. A Study on Virtual Tooth Image Generation Using Deep Learning - Based on the number of learning
    Bae EunJeong, Jeong Junho, Son Yunsik · 2020 · Journal of Korean Acedemy of Dental Technology
  72. Method of Detecting Bots on Social Media. A Literature Review
    Botambu Collins, Dinh Tuyen Hoang, Dai Tho Dang, Dosam Hwang · 2020 · Lecture notes in computer science
  73. Transdisciplinary AI Observatory—Retrospective Analyses and Future-Oriented Contradistinctions
    Nadisha-Marie Aliman, Leon J. H. M. Kester, Roman V. Yampolskiy · 2021 · Philosophies
  74. Social media use, social bot literacy, perceived threats from bots, and perceived bot control: a moderated-mediation model
    Wei Fang, Chen Nie · 2023 · Behaviour and Information Technology
  75. Spatiotemporal Filtering Pipeline for Efficient Social Networks Data Processing Algorithms
    Ksenia D. Mukhina, Alexander A. Visheratin, Denis A. Nasonov · 2020 · Lecture notes in computer science
  76. INVESTIGATING BOTS AND COORDINATED INFLUENCE CAMPAIGNS IN TWITTER DISCUSSIONS OF THE 2019-20 IRAN PROTESTS
    Ehsan Dehghan, Brenda Moon, Tobias R. Keller, Timothy Graham, A. Bruns, Daniel Angus · 2020 · AoIR Selected Papers of Internet Research
  77. Identification of Bots and Cyborgs in the #FeesMustFall Campaign
    Yaseen Khan, Surendra Colin Thakur, Obiseye Oluwaniyi Obiyemi, Emmanuel Adetiba · 2022 · Informatics
  78. 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
  79. Manipulating the Online Marketplace of Ideas
    Xiaodan Lou, Alessandro Flammini, Filippo Menczer · 2019 · arXiv (Cornell University)
  80. Down the bot hole: actionable insights from a 1-year analysis of bots activity on Twitter
    Luca Luceri, Felipe Maciel Cardoso, Silvia Giordano · 2020 · arXiv (Cornell University)
  81. Six Million (Suspected) Fake Stars on GitHub: A Growing Spiral of Popularity Contests, Spams, and Malware
    He, Hao, Yang, Haoqin, Burckhardt, Philipp, Kapravelos, Alexandros, Vasilescu, Bogdan, Kästner, Christian · 2026 · Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering
  82. Demystifying Misconceptions in Social Bots Research
    Stefano Cresci, Kai-Cheng Yang, Angelo Spognardi, Roberto Di Pietro, Filippo Menczer, Marinella Petrocchi · 2025 · Social Science Computer Review
  83. Proactive Bot Detection Based on Structural Information Principles
    Xianghua Zeng, Hao Peng, Angsheng Li · 2025 · IEEE Transactions on Pattern Analysis and Machine Intelligence
  84. Detection Technology of Social Robot: Based on the Interpretation of Botometer Model
    Jiawen Tian, Yi-Ting Huang, Dingyuan Zhang · 2022 · Journal of Computer Science and Technology Studies
  85. Silicon Valley Cybersecurity Conference
    Luis Angel D. Bathen, Gökay Saldamlı, Xiaoyan Sun, Thomas H. Austin, Alex J. Nelson · 2022 · Communications in computer and information science
  86. Networks and Influencers in Online Propaganda Events: A Comparative Study of Three Cases in India
    Anirban Sen, Soham De, Joyojeet Pal · 2024 · Proc. ACM Hum. Comput. Interact.
  87. Digital intermediaries in pandemic times: social media and the role of bots in communicating emotions and stress about Coronavirus
    Suzanne Elayan, Martin D. Sykora · 2024 · Journal of Computational Social Science
  88. Social Media Influencers and Politics
    Hernán A. Makse, Marta Zava · 2024 · Understanding complex systems
  89. The dynamics of conspiracy theories on social media from the diffusion of innovations perspective: the moderating role of time
    Xiao Meng, Xiaohui Wang, Xinyan Zhao · 2025 · Internet Research
  90. Social bots shape public issue networks in China’s dual-carbon agenda: a network analysis using MRQAP
    Han Yu Lin, Menghan Zhang, Xue Qi, Wenqian Shen · 2025 · Humanities and Social Sciences Communications
  91. Tracking the global pulse: the first public twitter dataset from FIFA world cup
    Kheir Eddine Daouadi, Yaakoub Boualleg, Oussama Guehairia · 2025 · Journal of Computational Social Science
  92. Tuning machine learning models to detect bots on Twitter
    Stefano M P C Souza, Tito Barbosa Rezende, José Nascimento, Levy G. Chaves, Darlinne Hubert Palo Soto, Soroor Salavati · 2020 · Workshop on Communication Networks and Power Systems (WCNPS)
  93. Social Bots als Stimmen im Diskurs
    Philipp Dreesen, Julia Krasselt · 2022 · De Gruyter eBooks
  94. Fighting Disinformation Online: Building the Database of Web Tools
    Jennifer Kavanagh, Samantha Cherney, Hilary Reininger, Norah Griffin · 2020 · RAND Corporation eBooks
  95. The Structure of Tweets About Vaccine Safety Between Health Organizations, Experts, and the Public: Analyzing Risk Communication Conversations
    David Manheim, Anat Gesser‐Edelsburg · 2020 · Disaster Medicine and Public Health Preparedness
  96. Analyzing the Existence of Organization Specific Languages on Twitter
    Rubén Sánchez, Arkaitz Zubiaga, Aitor Almeida · 2021 · IEEE Access
  97. “She Seems More Human”: Understanding Twitter Users’ Credibility Assessments of Dementia-Related Information
    Fatimah Alhayan, Diane Rasmussen Pennington, Ian G Ruthven · 2022 · Lecture notes in computer science
  98. Analysis of car parking industry from social community perspective
    Nabil Arhab, Mourad Oussalah, Henna Kokkonen, Ari Ollakka · 2022 · Social Network Analysis and Mining
  99. Twitter Bots’ Detection with Benford’s Law and Machine Learning
    Sanmesh Bhosale, Fabio Di Troia · 2022 · Communications in computer and information science
  100. A survey of machine learning based techniques for hate speech detection on Twitter
    Felipe Ramos de Oliveira, Victoria Dias Reis, Nelson F. F. Ebecken · 2023 · Caderno Pedagógico