Fred Morstatter

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Huan LiuProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Aram GalstyanUniversity of Southern California, Information Sciences InstituteVerified email at isi.edu
Jürgen PfefferTechnical University of Munich / Bavarian School of Public PolicyVerified email at tum.de
Shamanth KumarTwitterVerified email at asu.edu
Liang WuAirbnbVerified email at airbnb.com
Kathleen M. CarleyProfessor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jiliang TangMichigan State UniversityVerified email at msu.edu
Suhang WangPennsylvania State UniversityVerified email at psu.edu
Ninareh MehrabiUniversity of Southern CaliforniaVerified email at usc.edu
Kristina LermanUSC Information Sciences InstituteVerified email at isi.edu
Jundong LiAssistant Professor, University of VirginiaVerified email at virginia.edu
Xia "Ben" HuAssociate Professor of Computer Science, Rice UniversityVerified email at rice.edu
Justin SampsonArizona State UniversityVerified email at asu.edu
kewei chengPh.D. Student at UCLAVerified email at g.ucla.edu
Tahora H. NazerMachine Learning Engineer, SpotifyVerified email at asu.edu
Reza ZafaraniSyracuse UniversityVerified email at data.syr.edu
Zheng ZhaoGoogle Inc.Verified email at google.com
Salem AlelyaniAssistant Professor, King Khalid UniversityVerified email at kku.edu.sa
Emilio FerraraAssociate Professor of Communication, Computer Science, Preventive Medicine at USCVerified email at usc.edu
Ross MaciejewskiProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu

Fred Morstatter

University of Southern California, Information Sciences Institute

Verified email at usc.edu - Homepage

Social Media Mining Data Science Data Mining Machine Learning


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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	1151	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	1094	2013
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	460	2021
Twitter Data Analytics S Kumar, F Morstatter, H Liu Springer, 2014	449	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	330*	2010
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	146	2014
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	133	2016
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	89	2013
Mining misinformation in social media L Wu, F Morstatter, X Hu, H Liu Big data in complex and social networks, 135-162, 2016	85	2016
Whom Should I Follow?: Identifying Relevant Users During Crises. S Kumar, F Morstatter, R Zafarani, H Liu Hypertext, 139-147, 2013	70	2013
Tampering with Twitter’s sample API J Pfeffer, K Mayer, F Morstatter EPJ Data Science 7 (1), 50, 2018	66	2018
Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection J Sampson, F Morstatter, L Wu, H Liu	61	2016
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	50	2019
Adaptive spammer detection with sparse group modeling L Wu, X Hu, F Morstatter, H Liu Proceedings of the International AAAI Conference on Web and Social Media 11 (1), 2017	48	2017
Finding Eyewitness Tweets During Crises F Morstatter, N Lubold, H Pon-Barry, J Pfeffer, H Liu Proceedings of the ACL 2014 Workshop on Language Technologies and …, 2014	47	2014
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	35	2018
From Alt-Right to Alt-Rechts Twitter Analysis of the 2017 German Federal Election F Morstatter, Y Shao, A Galstyan, S Karunasekera Companion Proceedings of the The Web Conference 2018, 621-628, 2018	32	2018
Finding requests in social media for disaster relief TH Nazer, F Morstatter, H Dani, H Liu 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016	32	2016
The good, the bad, and the ugly: uncovering novel research opportunities in social media mining H Liu, F Morstatter, J Tang, R Zafarani International Journal of Data Science and Analytics 1 (3), 137-143, 2016	31	2016
Discovering, assessing, and mitigating data bias in social media F Morstatter, H Liu Online Social Networks and Media 1, 1-13, 2017	29	2017

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