Fred Morstatter
Fred Morstatter
University of Southern California, Information Sciences Institute
Verified email at - Homepage
Cited by
Cited by
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
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
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
Twitter Data Analytics
S Kumar, F Morstatter, H Liu
Springer, 2014
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
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 New Approach to Bot Detection: Striking the Balance Between Precision and Recall
F Morstatter, L Wu, TH Nazer, KM Carley, H Liu
ASONAM, 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
Tampering with Twitter’s sample API
J Pfeffer, K Mayer, F Morstatter
EPJ Data Science 7 (1), 50, 2018
Mining misinformation in social media
L Wu, F Morstatter, X Hu, H Liu
Big data in complex and social networks, 135-162, 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, 839-852, 2018
Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection
J Sampson, F Morstatter, L Wu, H Liu
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
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
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
Whom Should I Follow?: Identifying Relevant Users During Crises.
S Kumar, F Morstatter, R Zafarani, H Liu
Hypertext, 139-147, 2013
Discovering, assessing, and mitigating data bias in social media
F Morstatter, H Liu
Online Social Networks and Media 1, 1-13, 2017
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
Man is to person as woman is to location: Measuring gender bias in named entity recognition
N Mehrabi, T Gowda, F Morstatter, N Peng, A Galstyan
Proceedings of the 31st ACM conference on Hypertext and Social Media, 231-232, 2020
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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