Fred Morstatter
Fred Morstatter
University of Southern California, Information Sciences Institute
Verified email at - Homepage
Cited by
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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
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
Twitter Data Analytics
S Kumar, F Morstatter, H Liu
Springer, 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
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
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
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
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
Whom Should I Follow?: Identifying Relevant Users During Crises.
S Kumar, F Morstatter, R Zafarani, H Liu
Hypertext, 139-147, 2013
Mining misinformation in social media
L Wu, F Morstatter, X Hu, H Liu
Big Data in Complex and Social Networks, 123-152, 2016
Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection
J Sampson, F Morstatter, L Wu, H Liu
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
Tampering with Twitter’s sample API
J Pfeffer, K Mayer, F Morstatter
EPJ Data Science 7 (1), 50, 2018
Adaptive Spammer Detection with Sparse Group Modeling.
L Wu, X Hu, F Morstatter, H Liu
ICWSM, 319-326, 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
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
Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage
J Sampson, F Morstatter, R Maciejewski, H Liu
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
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
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
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