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
DOI 10.1002/hbe2.115
Cited by (415)
Items 301–400 of 415
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- Unmasking social bots: how confident are we?James Giroux, Gangani Ariyarathne, Alexander C. Nwala, C. Fanelli · 2025 · EPJ Data Science
- The Dark Side of AIArun Agrawal, Jagveer Singh · 2025 · Advances in social networking and online communities book series
- A Novel Hybrid Algorithm for Fake News DetectionPrateema Sharma, Wisam Subhi Al-Dayyeni, Tapsi Nagpal, Arun Kumar Rana, Rahul Vivek Purohit, Ahmed E Elaraby · 2025 · Digital Threats Research and Practice
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- Unveiling emotional contagion in COVID-19 misinformation: Computational analysis for public health crisis surveillanceQiuyi Chen, Qian Liu · 2025 · Health Informatics Journal
- Advanced text-based transformer architecture for malicious social bots detectionZineb Ellaky, Faouzia Benabbou · 2025 · Mathematical Modeling and Computing
- Simulating Advanced Social Botnets: A Framework for Behavior Realism and Coordinated StealthRui Jin, Yong Liao · 2025 · Information
- BotArtist: Generic Approach for Bot Detection in Twitter via Semi-automatic Machine Learning PipelineAlexander Shevtsov, Despoina Antonakaki, Ioannis Lamprou, Polyvios Pratikakis, Sotiris Ioannidis · 2026 · Lecture notes in computer science
- FATe of Bots: Ethical Considerations of Social Bot DetectionLynnette Hui Xian Ng, Ethan Pan, Michael Miller Yoder, Kathleen M. Carley · 2026 · ACM Journal on Responsible Computing
- Hybrid Feature Selection Framework for Machine Learning-based Bot Detection on Social MediaAmina Guendouz, Fatima Boumahdi, Mohamed Abdelkarim Remmide · 2026 · Journal of Telecommunications and Information Technology
- Detecting Abnormal Social Network Accounts with Hurst of Interest DistributionXiujuan Wang, Yi Sui, Yuanrui Tao, Qianqian Zhang, Jianhua Wei · 2021 · Security and Communication Networks
- Sewol Ferry DisasterHyunjin Seo · 2021
- 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
- Social support and positivity: Analyzing user-generated comments on the Instagram pages of two Brazilian cancer hospitalsPriscila Biancovilli, Macchiute de Oliveira Eloy, Lilian Thomer, Cláudia Jurberg · 2022 · Journal of Media and Communication Studies
- The power of algorithms and keys of participationJosé Esteves · 2022 · Routledge eBooks
- Australians’ shifting concerns about mis- and disinformationKieran McGuinness, Caroline Fisher, Jee Young Lee · 2022 · Australian Journal of Political Science
- Social Media Fake Profile Classification: A New Machine Learning ApproachNitika Kadam, Sanjeev Kumar Sharma · 2023 · Lecture notes in networks and systems
- Climate nags: Affect and the convergence of global risk in online networksJessica Yarin Robinson · 2023 · Continuum
- Entropy-Based Automation Detection on Twitter Using DNA ProfilingRosario Gilmary, Akila Venkatesan · 2023 · SN Computer Science
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- JAVA Architecture of Chinese Online Guiding Systematic Framework based on Data Mining and Artificial IntelligenceJing Yang · 2020 · International Conference on Inventive Computation Technologies (ICICT)
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- Um Modelo Baseado em Regras para a Detecção de bots no TwitterMaria Alice Gomes Lopes Leite, Marcus Vinícius Carvalho Guelpeli, Caroline Queiroz Santos · 2020
- Authorship analysis of English and Spanish tweetsMohammed Nour Al-Rashdan, Malak Abdullah, Mahmoud Al‐Ayyoub · 2020 · Proceedings of the Association for Information Science and Technology
- Understanding the Landscape of Online DeceptionHicham Hage, Esma Aı̈meur, Amel Guedidi · 2020 · IGI Global eBooks
- Red Bots Do It Better: Comparative Analysis of Social Bot Partisan BehaviorLuca Luceri, Ashok Deb, Adam Badawy · 2019 · arXiv (Cornell University)
- Detecting Propaganda on the Sentence Level during the COVID-19 PandemicRong-Ching Chang, Chu‐Hsing Lin · 2021 · arXiv (Cornell University)
- Where Are We? Using Scopus to Map the Literature at the Intersection Between Artificial Intelligence and CrimeGian Maria Campedelli · 2019 · SSRN Electronic Journal
- Quantifying Collective Identity Online From Self-defining HashtagsAlexander T. J. Barron, Johan Bollen · 2021 · Research Square
- Artificial Intelligence in the Service of Health and Safety at Work: Perspectives and Challenges From Now to 2035 - A Prospective StudyMarc Malenfer, Michaël Sarrey, Jennifer Clerté, Michel Héry, Martin Bieri, Bertrand Braunschweig, Régis Chatellier, Nazim Fatès, Sylvain Halluin, François de Jouvenel et al. · 2024 · Qeios
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- Analysis of Flickr, Snapchat, and Twitter use for the modeling of visitor activity in Florida State ParksHartwig Henry Hochmair, Levente Juhász · 2019 · Florida International University Digital Commons (Florida International University)
- People, Intangibles and Digital TransformationValter Martins Vairinhos, Florinda Matos, Leif Edvinsson · 2020 · Contributions to management science
- Internet – the First Source of (dis)InformationDanuta Smołucha · 2020 · Perspektywy Kultury
- Measuring Human–Bot InteractionsOnur Varol · 2020 · The International Encyclopedia of Media Psychology
- A comparative study of Bot Detection techniques methods with an application related to Covid-19 discourse on TwitterMarzia Antenore, Jose M. Camacho-Rodriguez, Emanuele Panizzi · 2021 · arXiv (Cornell University)
- Artificial intelligent for speech reproduction of information and knowledge of ancient booksLiming Tang, Li Chong-yu · 2021 · International Conference on Artificial Intelligence and Smart Energy (ICAIS)
- Revealing the Blackmarket Retweet Game: A Hybrid ApproachShreyash Arya, Hridoy Sankar Dutta · 2021 · Communications in computer and information science
- Social bots versus real humans : the framing of 'Trump's Wall' on TwitterNatalie Parra-Novosad · 2020
- BOTTER: A framework to analyze social bots in TwitterJavier Pastor-Galindo, Félix Gómez Mármol, Gregorio Martínez Pérez · 2021 · arXiv (Cornell University)
- Detecting Bots Using a Hybrid ApproachEdmund Kofi Genfi · 2021
- From complex to neural networksNicola Amoroso, Loredana Bellantuono · 2021 · Elsevier eBooks
- Detecting Propaganda Techniques in MemesDimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino · 2021 · arXiv (Cornell University)
- Towards Understanding Trends Manipulation in Pakistan TwitterSoufia Kausar, Bilal Tahir, Muhammad Amir Mehmood · 2021 · arXiv (Cornell University)
- Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning.Thai Le, Long Tran-Thanh, Dongwon Lee · 2021 · arXiv (Cornell University)
- The Changing Information Ecosystem in South KoreaHyunjin Seo · 2021
- ConclusionHyunjin Seo · 2021
- Networked Collective Action and the Impeachment of President ParkHyunjin Seo · 2021
- After the Candles Were ExtinguishedHyunjin Seo · 2021
- Candlelight Vigils and Citizen ActivismHyunjin Seo · 2021
- Park’s Supporters Fight BackHyunjin Seo · 2021
- IntroductionHyunjin Seo · 2021
- Agent-Affordance Framework of Networked Collective ActionsHyunjin Seo · 2021
- Identifying Bots on Twitter with Benford’s LawSanmesh Bhosale · 2021
- Assessing the role of social bots during the early COVID-19 pandemic: infodemic, disagreement and criticism (Preprint)Víctor Suárez-Lledó, Javier Álvarez‐Gálvez · 2021
- A Geolocated Dataset of COVID-19 Pandemic: Tweets with Location InformationIqbal Mohammed, Ahmed Saleem Abbas · 2021 · International Conference on Engineering Technology and its Applications (IICETA)
- Fake Rating Analysis from the Movie Dataset: Using Supervised TechniquesMs. Nirmal Kaur · 2022 · International Journal for Research in Applied Science and Engineering Technology
- Censorship on social media: The gatekeeping functions of shadowbans in the American TwitterverseKokil Jaidka, Subhayan Mukerjee, Yphtach Lelkes B · 2022 · SSRN Electronic Journal
- A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers ModelMrs. K. Pazhanivel, Ajai Kumar. B, M Mageshwaran., K Dhivakar. · 2022 · International Journal of Advanced Research in Science Communication and Technology
- ReferencesShaun Wilson · 2021 · Policy Press eBooks
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- How to Find Social Robots exactly?Jianwei Ding, Zhouguo Chen · 2023
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- Analyzing the Efficacy of Bot Detection Methods on Twitter/XDanish Javed, Noor Zaman, Navid Ali Khan, Sayan Kumar Ray, Alanoud Al Mazroa, Rizwan Ayaz, Shampa Rani Das · 2023 · SSRN Electronic Journal
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- Copyright PageHyunjin Seo · 2022
- Timeline of Events Related to Park Geun-hye ImpeachmentHyunjin Seo · 2022
- NotesHyunjin Seo · 2022
- List of InterviewsHyunjin Seo · 2022
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- A Process for Building Datasets that Enable the Application of Different Methods for Detecting Fake News and Social BotsJeferson Luis Gonçalves, Lucas Barboza de Menezes Torres, Paulo Márcio Souza Freire, Ronaldo Ribeiro Goldschmidt · 2025 · Brazilian Symposium on Information Systems
- The Influence of Social Media Bots on Financial MarketsMahnaz Paydarzarnaghi, David A. Rakowski · 2025 · SSRN Electronic Journal
- Modelagem de Tópicos sobre Preferências de Bots em Tweets da CPI da COVID-19 no BrasilGabriel Arruda, Anderson Castro Soares de Oliveira, Lia Hanna Martins Morita, José Nilton da Cruz · 2025 · Semina Ciências Exatas e Tecnológicas
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