| A survey on bias and fairness in machine learning N Mehrabi, F Morstatter, N Saxena, K Lerman, A Galstyan ACM computing surveys (CSUR) 54 (6), 1-35, 2021 | 8638 | 2021 |
| Feature selection: A data perspective J Li, K Cheng, S Wang, F Morstatter, RP Trevino, J Tang, H Liu ACM computing surveys (CSUR) 50 (6), 1-45, 2017 | 4551 | 2017 |
| Is the Sample Good Enough? Comparing Data from Twitter’s Streaming API with Twitter’s Firehose F Morstatter, J Pfeffer, H Liu, KM Carley International Conference on Weblogs and Social Media, 400-408, 2013 | 1450 | 2013 |
| Misinformation in social media: definition, manipulation, and detection L Wu, F Morstatter, KM Carley, H Liu ACM SIGKDD explorations newsletter 21 (2), 80-90, 2019 | 685 | 2019 |
| Twitter Data Analytics S Kumar, F Morstatter, H Liu Springer, 2014 | 636 | 2014 |
| Advancing Feature Selection Research: ASU Feature Selection Repository Z Zhao, F Morstatter, S Sharma, S Alelyani, A Anand, H Liu School of Computing, Informatics, and Decision Systems Engineering, Arizona …, 2010 | 470* | 2010 |
| A New Approach to Bot Detection: Striking the Balance Between Precision and Recall F Morstatter, L Wu, TH Nazer, KM Carley, H Liu ASONAM, 2016 | 262 | 2016 |
| When is it biased? Assessing the representativeness of twitter's streaming API F Morstatter, J Pfeffer, H Liu Proceedings of the 23rd international conference on world wide web, 555-556, 2014 | 193 | 2014 |
| Tampering with Twitter’s sample API J Pfeffer, K Mayer, F Morstatter EPJ Data Science 7 (1), 50, 2018 | 185 | 2018 |
| Identifying and analyzing cryptocurrency manipulations in social media M Mirtaheri, S Abu-El-Haija, F Morstatter, G Ver Steeg, A Galstyan IEEE Transactions on Computational Social Systems 8 (3), 607-617, 2021 | 151 | 2021 |
| Mining misinformation in social media L Wu, F Morstatter, X Hu, H Liu Big data in complex and social networks, 135-162, 2016 | 150 | 2016 |
| SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification L Wu, F Morstatter, H Liu Language Resources and Evaluation 52 (3), 839-852, 2018 | 134 | 2018 |
| Identifying framing bias in online news F Morstatter, L Wu, U Yavanoglu, SR Corman, H Liu ACM Transactions on Social Computing 1 (2), 1-18, 2018 | 133 | 2018 |
| Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection J Sampson, F Morstatter, L Wu, H Liu | 116 | 2016 |
| Political partisanship and antiscience attitudes in online discussions about COVID-19: Twitter content analysis A Rao, F Morstatter, M Hu, E Chen, K Burghardt, E Ferrara, K Lerman Journal of medical Internet research 23 (6), e26692, 2021 | 107 | 2021 |
| The butterfly effect of altering prompts: How small changes and jailbreaks affect large language model performance A Salinas, F Morstatter arXiv preprint arXiv:2401.03729, 2024 | 105 | 2024 |
| Understanding Twitter Data with TweetXplorer F Morstatter, S Kumar, H Liu, R Maciejewski 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 1482-1485, 2013 | 105 | 2013 |
| Exacerbating algorithmic bias through fairness attacks N Mehrabi, M Naveed, F Morstatter, A Galstyan Proceedings of the AAAI Conference on Artificial Intelligence 35 (10), 8930-8938, 2021 | 104 | 2021 |
| Detecting cryptocurrency pump-and-dump frauds using market and social signals H Nghiem, G Muric, F Morstatter, E Ferrara Expert Systems with Applications 182, 115284, 2021 | 94 | 2021 |
| Discovering, assessing, and mitigating data bias in social media F Morstatter, H Liu Online Social Networks and Media 1, 1-13, 2017 | 94 | 2017 |
Huan LiuRegents Professor, Arizona State UniversityVerified email at asu.edu
