Ferrara, Emilio
University of Southern California
28 papers on CoChatORCID 0000-0002-1942-2831
Most cited papers
- Verified
The rise of social bots
Ferrara, E., Varol, O., Davis, C., Menczer, F., & Flammini, A. (2016) · Communications of the ACM
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 1,973
- Verified
Graph embedding techniques, applications, and performance: A survey
Goyal, P., & Ferrara, E. (2018) · Knowledge-Based Systems
Advanced Graph Neural NetworksGraph Theory and Algorithms
Cited by 1,801
- Verified
Social bots distort the 2016 U.S. Presidential election online discussion
Bessi, A., & Ferrara, E. (2016) · First Monday
Misinformation and Its ImpactsSocial Media and Politics
Cited by 993
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Online Human-Bot Interactions: Detection, Estimation, and Characterization
Varol, O., Ferrara, E., Davis, C., Menczer, F., & Flammini, A. (2017) · Proceedings of the International AAAI Conference on Web and Social Media
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 928
- Verified
BotOrNot: A System to Evaluate Social Bots
Davis, C. A., Varol, O., Ferrara, E., Flammini, A., & Menczer, F. (2016) · Proceedings of the 25th International Conference Companion on World Wide Web - WWW 16 Companion
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 909
- Verified
Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies
Ferrara, E. (2023) · Sci
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 875
- Verified
Disinformation and social bot operations in the run up to the 2017 French presidential election
Ferrara, E. (2017) · First Monday
Misinformation and Its ImpactsSpam and Phishing Detection
Cited by 524
- Verified
Deep neural networks for bot detection
Kudugunta, S., & Ferrara, E. (2018) · Information Sciences
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 506
- Verified
Bots increase exposure to negative and inflammatory content in online social systems
Stella, M., Ferrara, E., & De Domenico, M. (2018) · Proceedings of the National Academy of Sciences
Misinformation and Its ImpactsSocial Media and Politics
Cited by 492
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Arming the public with artificial intelligence to counter social bots
Yang, K., Varol, O., Davis, C. A., Ferrara, E., Flammini, A., & Menczer, F. (2019) · Human Behavior and Emerging Technologies
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 419
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Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models
Ferrara, E. (2023) · arXiv
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 282
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Should ChatGPT be biased? Challenges and risks of bias in large language models
Ferrara, E. (2023) · First Monday
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 282
- Verified
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models
Ferrara, E. (2023) · First Monday
Ethics and Social Impacts of AIHate Speech and Cyberbullying Detection
Cited by 282
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GenAI Against Humanity: Nefarious Applications of Generative Artificial Intelligence and Large Language Models
Ferrara, E. (2023) · Journal of Computational Social Science
Ethics and Social Impacts of AIMisinformation and Its Impacts
Cited by 266
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What types of COVID-19 conspiracies are populated by Twitter bots?
Ferrara, E. (2020) · First Monday
Misinformation and Its ImpactsCommunication and COVID-19 Impact
Cited by 223
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Factuality challenges in the era of large language models and opportunities for fact-checking
Augenstein, I., Baldwin, T., Cha, M., Chakraborty, T., Ciampaglia, G. L., Corney, D., DiResta, R., Ferrara, E., Hale, S., Halevy, A., et al. (2024) · Nature Machine Intelligence
Misinformation and Its ImpactsTopic Modeling
Cited by 187
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Characterizing social media manipulation in the 2020 U.S. presidential election
Ferrara, E., Chang, H., Chen, E., Muric, G., & Patel, J. (2020) · First Monday
Misinformation and Its ImpactsSocial Media and Politics
Cited by 171
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Botometer 101: social bot practicum for computational social scientists
Yang, K.-C., Ferrara, E., & Menczer, F. (2022) · Journal of Computational Social Science
Misinformation and Its ImpactsSpam and Phishing Detection
Cited by 159
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Should ChatGPT Be Biased? Challenges and Risks of Bias in Large Language Models
Ferrara, E. (2023) · SSRN Electronic Journal
Ethics and Social Impacts of AITopic Modeling
Cited by 133
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Charting the Landscape of Online Cryptocurrency Manipulation
Nizzoli, L., Tardelli, S., Avvenuti, M., Cresci, S., Tesconi, M., & Ferrara, E. (2020) · IEEE Access
Spam and Phishing DetectionCybercrime and Law Enforcement Studies
Cited by 132
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The Butterfly Effect in Artificial Intelligence Systems: Implications for AI Bias and Fairness
Ferrara, E. (2023) · Machine Learning with Applications
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 129
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Who Falls for Online Political Manipulation?
Badawy, A., Lerman, K., & Ferrara, E. (2019) · Companion Proceedings of The 2019 World Wide Web Conference
Misinformation and Its ImpactsSpam and Phishing Detection
Cited by 105
- Verified
Social bot detection in the age of ChatGPT: Challenges and opportunities
Ferrara, E. (2023) · First Monday
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 84
- Verified
Auditing Algorithmic Bias on Twitter
Bartley, N., Abeliuk, A., Ferrara, E., & Lerman, K. (2021) · 13th ACM Web Science Conference 2021
Ethics and Social Impacts of AIMisinformation and Its Impacts
Cited by 62
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