Fred Morstatter

Cited by

	All	Since 2015
Citations	3673	3368
h-index	20	20
i10-index	36	34

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201120122013201420152016201720182019202010 14 70 195 304 374 479 581 771 845

Co-authors

Huan LiuProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.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
Aram GalstyanUniversity of Southern California, Information Sciences InstituteVerified email at isi.edu
Jiliang TangMichigan State UniversityVerified email at msu.edu
Suhang WangPennsylvania State UniversityVerified email at psu.edu
Jundong LiAssistant Professor, University of VirginiaVerified email at virginia.edu
Justin SampsonArizona State UniversityVerified email at asu.edu
Xia "Ben" HuAssociate Professor of Computer Science and Engineering, Texas A&M UniversityVerified email at cse.tamu.edu
Ninareh MehrabiUniversity of Southern CaliforniaVerified email at usc.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
Kristina LermanPrincipal Scientist, USC Information Sciences InstituteVerified email at isi.edu
Ross MaciejewskiAssociate Professor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Harsh DaniUber Technologies Inc.Verified email at uber.com

Fred Morstatter

University of Southern California, Information Sciences Institute

Verified email at usc.edu - Homepage

Social Media Mining Data Science Data Mining Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	978	2013
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	789	2017
Twitter Data Analytics S Kumar, F Morstatter, H Liu Springer, 2014	412	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	296*	2010
A survey on bias and fairness in machine learning N Mehrabi, F Morstatter, N Saxena, K Lerman, A Galstyan arXiv preprint arXiv:1908.09635, 2019	125	2019
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	124	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	118	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	84	2013
Whom Should I Follow?: Identifying Relevant Users During Crises. S Kumar, F Morstatter, R Zafarani, H Liu Hypertext, 139-147, 2013	67	2013
Mining misinformation in social media L Wu, F Morstatter, X Hu, H Liu Big Data in Complex and Social Networks, 123-152, 2016	59	2016
Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection J Sampson, F Morstatter, L Wu, H Liu	53	2016
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
Tampering with Twitter’s sample API J Pfeffer, K Mayer, F Morstatter EPJ Data Science 7 (1), 50, 2018	40	2018
Adaptive Spammer Detection with Sparse Group Modeling. L Wu, X Hu, F Morstatter, H Liu ICWSM, 319-326, 2017	38	2017
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 (3-4), 137-143, 2016	26	2016
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	26	2016
Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage J Sampson, F Morstatter, R Maciejewski, H Liu	25	2015
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	21	2018
Slangsd: Building and using a sentiment dictionary of slang words for short-text sentiment classification L Wu, F Morstatter, H Liu arXiv preprint arXiv:1608.05129, 2016	21	2016
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	20	2018

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