Arming the public with artificial intelligence to counter social bots

Cited by (415)

Items 101–200 of 415

1. Assessing the Role of Social Bots During the COVID-19 Pandemic: Infodemic, Disagreement, and Criticism
   Víctor Suárez-Lledó, Javier Álvarez‐Gálvez · 2022 · Journal of Medical Internet Research
2. 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
3. FACT: a Framework for Analysis and Capture of Twitter Graphs
   Daniel Thilo Schroeder, Konstantin Pogorelov, Johannes Langguth · 2019 · International Conference on Social Networks Analysis, Management and Security (SNAMS)
4. Analyzing Twitter Users' Behavior Before and After Contact by the Russia's Internet Research Agency
   Upasana Dutta, Rhett Hanscom, Jason Shuo Zhang, Richard Y. Han, Tamara Silbergleit Lehman, Qin Lv, Shivakant Mishra · 2021 · Proceedings of the ACM on Human-Computer Interaction
5. Bot Datasets on Twitter: Analysis and Challenges
   Luis Daniel Samper-Escalante, Octavio Loyola‐González, Raúl Monroy · 2021 · Applied Sciences
6. Space-Time Dependence of Emotions on Twitter after a Natural Disaster
   Sonja Garske, Suzanne Elayan, Martin D. Sykora, Tamar Edry, Linus Grabenhenrich, Sandro Galea, Sarah Ryan Lowe, Oliver Gruebner · 2021 · International Journal of Environmental Research and Public Health
7. On the efficacy of old features for the detection of new bots
   Rocco De Nicola, Marinella Petrocchi, Manuel Pratelli · 2021 · Information Processing & Management
8. Unmasking the Web of Deceit: Uncovering Coordinated Activity to Expose Information Operations on Twitter
   Luca Luceri, Valeria Pantè, Keith Burghardt, Emilio Ferrara · 2024 · International World Wide Web Conference (WWW)
9. Bot-MGAT: A Transfer Learning Model Based on a Multi-View Graph Attention Network to Detect Social Bots
   Eiman Alothali, Motamen Salih, Kadhim Hayawi · 2022 · Applied Sciences
10. Profiling users and bots in Twitter through social media analysis
    Javier Pastor-Galindo, Félix Gómez Mármol, Gregorio Martínez Pérez · 2022 · Information Sciences
11. Strategies of Chinese State Media on Twitter
    Yingjie Fan, Jennifer Pan, Jaymee Sheng · 2023 · Political Communication
12. 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
13. Making up Audience: Media Bots and the Falsification of the Public Sphere
    Rose Marie Santini, Débora Salles, Giulia Tucci, Fernando Ferreira, Felipe Grael · 2020 · Communication Studies
14. 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
15. Automation on Twitter: Measuring the Effectiveness of Approaches to Bot Detection
    Oliver Beatson, Rachel Gibson, Marta Cantijoch, Mark James Elliot · 2021 · Social Science Computer Review
16. Harass, mislead, & polarize: An analysis of Twitter political bots’ tactics in targeting the immigration debate before the 2018 U.S. midterm election
    Brandie Martin Nonnecke, Gisela Perez de, Annette Choi, Camille Crittenden, Fernando Gutiérrez Cortés, Alejandro Martín del Campo, Oscar Mario Miranda Villanueva · 2021 · Journal of Information Technology & Politics
17. User Experience: A Bibliometric Review of the Literature
    Wuheng Zuo, Baijun Mu, Hui Fang, Yuehua Wan · 2023 · IEEE Access
18. BotSlayer: real-time detection of bot amplification on Twitter
    Pik-Mai Hui, Kai-Cheng Yang, Christopher Torres-Lugo, Zachary Monroe, Marc McCarty, Benjamin Serrette, Valentin Pentchev, Filippo Menczer · 2019 · The Journal of Open Source Software
19. A language framework for modeling social media account behavior
    Nwala, Alexander C., Flammini, Alessandro, Menczer, Filippo · 2023 · EPJ Data Science
20. 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
21. Realistic Aspects of Simulation Models for Fake News Epidemics over Social Networks
    Quintino Francesco Lotito, Davide Zanella, Paolo Casari · 2021 · Future Internet
22. How do scientific papers from different journal tiers gain attention on social media?
    Renmeng Cao, Xiao Fan Liu, Zhichao Fang, Xiao-Ke Xu, Xianwen Wang · 2022 · Information Processing & Management
23. Classifying social media bots as malicious or benign using semi-supervised machine learning
    Innocent Mbona, Jan H. P. Eloff · 2023 · Journal of Cybersecurity
24. A Nudge to Credible Information as a Countermeasure to Misinformation: Evidence from Twitter
    Elina H. Hwang, Stephanie Lee · 2021 · Information Systems Research
25. Tackling misinformation in mobile social networks a BERT-LSTM approach for enhancing digital literacy
    Jun Wang, Xiulai Wang, Airong Yu · 2025 · Scientific Reports
26. Social Botomics: A Systematic Ensemble ML Approach for Explainable and Multi-Class Bot Detection
    Ilias Dimitriadis, Konstantinos Georgiou, Athena I. Vakali · 2021 · Applied Sciences
27. 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
28. A Two-Phase Framework for Detecting Manipulation Campaigns in Social Media
    Dennis Assenmacher, Lena Clever, Janina Pohl, Heike Trautmann, Christian Grimme · 2020 · Lecture notes in computer science
29. Unsupervised detection of coordinated fake-follower campaigns on social media
    Zouzou, Yasser, Varol, Onur · 2024 · EPJ Data Science
30. 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
31. Utilizing Bots for Sustainable News Business: Understanding Users’ Perspectives of News Bots in the Age of Social Media
    Hyehyun Hong, Hyun Jee Oh · 2020 · Sustainability
32. Identification of Twitter Bots Based on an Explainable Machine Learning Framework: The US 2020 Elections Case Study
    Alexander Shevtsov, Christos Tzagkarakis, Despoina Antonakaki, Sotiris Ioannidis · 2022 · Proceedings of the International AAAI Conference on Web and Social Media
33. Perceived threats from social bots: The media's role in supporting literacy
    Desirée Schmuck, Christian von Sikorski · 2020 · Computers in Human Behavior
34. Supervised learning models for social bot detection: Literature review and benchmark
    Hoang-Dung Nguyen, Quang Duc Nguyen, Cong-Duy T Nguyen, Phong T. To, Danh H. Nguyen, Huy Nguyen-Gia, Long Hai Tran, Anh Q. Tran, An Dang-Hieu, Anh Nguyen‐Duc et al. · 2023 · Expert Systems with Applications
35. Quantifying the vulnerabilities of the online public square to adversarial manipulation tactics
    Bao Tran Truong, Xiaodan Lou, Alessandro Flammini, Filippo Menczer · 2024 · PNAS Nexus
36. Press media impact of the Cumbre Vieja volcano activity in the island of La Palma (Canary Islands): A machine learning and sentiment analysis of the news published during the volcanic eruption of 2021
    J. Navarro, Jesus Urias Piña, F. Magdaleno Mas · 2023 · International Journal of Disaster Risk Reduction
37. To tweet or not to tweet
    Filipo Sharevski, Peter Jachim, Kevin Florek · 2020 · International Conference on Availability, Reliability and Security (ARES)
38. Malicious Bot Detection in Online Social Networks: Arming Handcrafted Features with Deep Learning
    Guanyi Mou, Kyumin Lee · 2020 · Lecture notes in computer science
39. A Comparative Study of Bot Detection Techniques With an Application in Twitter Covid-19 Discourse
    Marzia Antenore, Jose Manuel Camacho, Emanuele Panizzi · 2022 · Social Science Computer Review
40. An Evolutionary Computation Approach for Twitter Bot Detection
    Luigi Rovito, Lorenzo Bonin, Luca Manzoni, Andrea De Lorenzo · 2022 · Applied Sciences
41. Investigating the Validity of Botometer-Based Social Bot Studies
    Florian Gallwitz, Michael Kreil · 2022 · Lecture notes in computer science
42. Comparing the Spatial and Temporal Activity Patterns between Snapchat, Twitter and Flickr in Florida
    Levente Juhász, Hartwig Henry Hochmair · 2019 · GI_Forum
43. The Role of Artificial Intelligence in Community Planning
    Justin B. Hollander, Ruth Potts, Maxwell Douglas Hartt · 2020 · International Journal of Community Well-Being
44. 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)
45. The power of voice: bots, democracy and the problem of political ventriloquism
    Catherine M. Frost · 2019 · Journal of Political Power
46. Insights into elections: An ensemble bot detection coverage framework applied to the 2018 U.S. midterm elections
    Ross Schuchard, Andrew T. Crooks · 2021 · PLoS ONE
47. Disinformation in Social Networks and Bots: Simulated Scenarios of Its Spread from System Dynamics
    Alfredo Guzmán Rincón, Ruby Lorena Carrillo Barbosa, Nuria Segovia-García, David Ricardo Africano Franco · 2022 · Systems
48. Twitter use by the dementia community during COVID-19: a user classification and social network analysis
    Fatimah Alhayan, Diane Rasmussen Pennington, Sarra Ayouni · 2022 · Online Information Review
49. Contextures of hate: Towards a systems theory of hate communication on social media platforms
    Niklas Barth, Elke Wagner, Philipp Raab, Björn Wiegärtner · 2023 · The Communication Review
50. Exposure to social bots amplifies perceptual biases and regulation propensity
    Harry Yaojun Yan, Kai-Cheng Yang, James E. Shanahan, Filippo Menczer · 2023 · Scientific Reports
51. Theory and practice of agenda setting: understanding media, bot, and public agendas in the South Korean presidential election
    Menghan Zhang, Ze Chen, Xinyan Liu, Jun Liu · 2023 · Asian Journal of Communication
52. Fake Profile Detection Using Machine Learning
    Kunal Umbrani, Deven Santosh Shah, Amit Pile · 2024 · ASU International Conference in Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS)
53. 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
54. Detecting Malicious Social Bots: Story of a Never-Ending Clash
    Stefano Cresci · 2020 · Lecture notes in computer science
55. A behavioural analysis of credulous Twitter users
    Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi · 2021 · Online Social Networks and Media
56. 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
57. Profiling Bots and Fake News Spreaders at PAN’19 and PAN’20 : Bots and Gender Profiling 2019, Profiling Fake News Spreaders on Twitter 2020
    Juan Pizarro · 2020 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
58. Regional Differences in Information Privacy Concerns After the Facebook-Cambridge Analytica Data Scandal
    Felipe González-Pizarro, Andrea Figueroa, Claudia López, C. Aragon · 2022 · Computer Supported Cooperative Work (CSCW)
59. Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning
    Thai Le, Long Tran-Thanh, Dongwon Lee · 2022 · International World Wide Web Conference (WWW)
60. Could Social Bots’ Sentiment Engagement Shape Humans’ Sentiment on COVID-19 Vaccine Discussion on Twitter?
    Menghan Zhang, Ze Chen, Xue Qi, Jun Liu · 2022 · Sustainability
61. Blackmarket-Driven Collusion on Online Media: A Survey
    Hridoy Sankar Dutta, Tanmoy Chakraborty · 2021 · ACM/IMS Transactions on Data Science
62. Asymmetrical Perceptions of Partisan Political Bots
    Harry Yaojun Yan, Kai-Cheng Yang, Filippo Menczer · 2020
63. Exploring the construction and infiltration strategies of social bots in sina microblog
    Wenxian Wang, Xingshu Chen, Shuyu Jiang · 2020 · Scientific Reports
64. Spot the bot: Investigating user's detection cues for social bots and their willingness to verify Twitter profiles
    Thao Ngo, Magdalena Wischnewski, Rebecca Bernemann, Martin Jansen, N. Krämer · 2023 · Computers in Human Behavior
65. Assembling a multi-platform ensemble social bot detector with applications to US 2020 elections
    Lynnette Hui Xian Ng, Kathleen M. Carley · 2024 · Social Network Analysis and Mining
66. 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
67. 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
68. How Twitter data sampling biases U.S. voter behavior characterizations
    Kai-Cheng Yang, Pik-Mai Hui, Filippo Menczer · 2022 · PeerJ Computer Science
69. Freedom for Expression or a Space of Oppression? Social Media and the Female @thlete
    Jaquelyn Osborne, Emma J Kavanagh, Chelsea Litchfield · 2021 · Emerald Group Publishing Limited eBooks
70. Biases in Recommendation System
    Saumya Bhadani · 2021 · ACM Conference on Recommender Systems (RecSys)
71. Novel semantic and statistic features-based author profiling approach
    Sarra Ouni, Fethi Fkih, Mohamed Nazih Omri · 2022 · Journal of Ambient Intelligence and Humanized Computing
72. Bot Detection on Social Networks Using Persistent Homology
    Minh Nguyen, Mehmet Emin Aktas, Esra Akbaş · 2020 · Mathematical and Computational Applications
73. Twitter bot detection and their influence in hashtag manipulation
    Sanket Barhate, Ritika Mangla, Dhwani Panjwani, Suyash Gatkal, Faruk Kazi · 2020 · IEEE India Conference
74. Applying ChatGPT as a new business strategy: A great power comes with great responsibility
    Pongsakorn Limna, Tanpat Kraiwanit, Kris Jangjarat, Yarnaphat Shaengchart · 2023 · Corporate & Business Strategy Review
75. Mechanisms Driving Online Vaccine Debate During the COVID-19 Pandemic
    Ozgur Can Seckin, Aybuke Atalay, Ege Otenen · 2024 · Social Media + Society
76. 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
77. Detecting Social Media Bots with Variational AutoEncoder and k-Nearest Neighbor
    Xiujuan Wang, Qianqian Zhang, Kangfeng Zheng · 2021 · Applied Sciences
78. Bots and Gender Detection on Twitter Using Stylistic Features
    Sarra Ouni, Fethi Fkih, Mohamed Nazih Omri · 2022 · Communications in computer and information science
79. TL‐PBot: Twitter bot profile detection using transfer learning based on DNN model
    Maryam Bibi, Zahid Hussain Qaisar, Naeem Aslam · 2024 · Engineering Reports
80. A model for the Twitter sentiment curve
    Giacomo Aletti, Irene Crimaldi, Fabio Saracco · 2021 · PLoS ONE
81. Real-time geospatial surveillance of localized emotional stress responses to COVID-19: A proof of concept analysis
    Tamar Edry, Nason Maani, Martin D. Sykora, Suzanne Elayan, Yulin Hswen, Markus Wolf, Fabio Rinaldi, Sandro Galea, Oliver Gruebner · 2021 · Health & Place
82. Studying the Community of Trump Supporters on Twitter during the 2020 US Presidential Election via Hashtags #maga and #trump2020
    Huu Dat Tran · 2021 · Journalism and Media
83. Dispelling the Fake: Social Bot Detection Based on Edge Confidence Evaluation
    Boyu Qiao, Wei Jia Zhou, Kun Li, Shilong Li, Songlin Hu · 2024 · IEEE Transactions on Neural Networks and Learning Systems
84. From field to feed: Norwegian Football Players’ usage and self-presentation on Instagram throughout the UEFA Women's EURO 2022 Championship
    Egil Trasti Rogstad, Anne Tjønndal, Stian Røsten · 2024 · International Review for the Sociology of Sport
85. Mapping state-sponsored information operations with multi-view modularity clustering
    Joshua Uyheng, Iain J. Cruickshank, Kathleen M. Carley · 2022 · EPJ Data Science
86. The role of bots in U.S. Real estate development online communication
    Justin B. Hollander, Ruth Potts, Maxwell Douglas Hartt · 2022 · Computers Environment and Urban Systems
87. Opinion manipulation on Farsi Twitter
    Amirhossein Farzam, Parham Moradi, Saeedeh Mohammadi, Zahra Padar, Alexandra Arons Siegel · 2023 · Scientific Reports
88. Deepening the Divide: Crises Disproportionately Silence Vulnerable Populations on Social Media
    Rachel Samuels, John Eric Taylor · 2020 · Journal of Management in Engineering
89. Communication Rights for Social Bots?: Options for the Governance of Automated Computer-Generated Online Identities
    Stefano Pedrazzi, Franziska Oehmer · 2020 · Journal of Information Policy
90. Infodemic: the effect of death-related thoughts on news-sharing
    Amy Jia Ying Lim, Edison Tan, Tania Lim · 2021 · Cognitive Research Principles and Implications
91. The use of spatial data mining methods for modeling HR challenges of generation Z in greater Poland Region
    Magdalena Graczyk-Kucharska, Robert Olszewski, Gerhard‐Wilhelm Weber · 2022 · Central European Journal of Operations Research
92. Twitter social bots: The 2019 Spanish general election data
    Javier Pastor-Galindo, Mattia Zago, Pantaleone Nespoli · 2020 · Data in Brief
93. Social Bots and Social Media Manipulation in 2020: The Year in Review
    Ho-Chun Herbert Chang, Emily Chen, Meiqing Zhang, Goran Murić, Emilio Ferrara · 2021 · arXiv (Cornell University)
94. AI and the Future of Disinformation Campaigns: Part 2: A Threat Model
    Katerina Sedova, Christine McNeill, Aurora Johnson, Aditi A. Joshi, Ido Wulkan · 2021
95. Evolution of Malicious Social Bot Detection: From Individual Profiling to Group Analysis and Beyond
    Yina Liu, Shuai Xu, Yicong Li, Shuo Yu · 2025 · Journal of Social Computing
96. Terminology, AI bias, and the risks of current digital public diplomacy practices
    Zhao Alexandre Huang · 2024 · Place Branding and Public Diplomacy
97. Evaluating the Influence of Twitter Bots via Agent-Based Social Simulation
    Aldo Averza, Khaled Slhoub, Siddhartha Bhattacharyya · 2022 · IEEE Access
98. Not All Bots are Created Equal: The Impact of Bots Classification Techniques on Identification of Discursive Behaviors Around the COVID-19 Vaccine and Climate Change
    Rui Wang, Dror Walter, Yotam Ophir · 2023 · Social Science Computer Review
99. Bot Detection in Twitter: An Overview
    Salvador López-Joya, Jose A. Diaz-Garcia, Maria Dolores Ruiz, María José Martín-Bautista · 2023 · Lecture notes in computer science
100. Do You Really Follow Them? Automatic Detection of Credulous Twitter Users
     Alessandro Balestrucci, Rocco De Nicola, Marinella Petrocchi, Catia Trubiani · 2019 · Lecture notes in computer science