Joseph, Kenneth
University at Buffalo, State University of New York
6 papers on CoChatORCID 0000-0003-2233-3976
Most cited papers
- Verified
Fake news on Twitter during the 2016 U.S. presidential election
Grinberg, N., Joseph, K., Friedland, L., Swire-Thompson, B., & Lazer, D. (2019) · Science
Misinformation and Its ImpactsSocial Media and Politics
Cited by 1,803
- Verified
Auditing Partisan Audience Bias within Google Search
Robertson, R. E., Jiang, S., Joseph, K., Friedland, L., Lazer, D., & Wilson, C. (2018) · Proceedings of the ACM on Human-Computer Interaction
Information Retrieval and Search BehaviorSocial Media and Politics
Cited by 209
- Verified
Two 1%s don't make a whole: comparing simultaneous samples from twitter's streaming api
Joseph, K., Landwehr, P. M., & Carley, K. M. (2014) · Lecture Notes in Computer Science
Computational and Text Analysis MethodsSocial Media and Politics
Cited by 69
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Identifying Police Officers at Risk of Adverse Events
Carton, S., Helsby, J., Joseph, K., Mahmud, A., Park, Y., Walsh, J., Cody, C., Patterson, C. E., Haynes, L., & Ghani, R. (2016) · Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Policing Practices and PerceptionsEthics and Social Impacts of AI
Cited by 64
- Verified
Theory In, Theory Out: The Uses of Social Theory in Machine Learning for Social Science
Radford, J., & Joseph, K. (2020) · Frontiers in Big Data
Ethics and Social Impacts of AIComputational and Text Analysis Methods
Cited by 58
- Verified
Constance: modeling annotation contexts to improve stance classification
Joseph, K., Friedland, L., Hobbs, W., Lazer, D., & Tsur, O. (2017) · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing
Sentiment Analysis and Opinion MiningComputational and Text Analysis Methods
Cited by 33
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