Fred Morstatter

Affiliations:
  • University of Southern California, CA, USA


According to our database1, Fred Morstatter authored at least 75 papers between 2011 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Online presence:

On csauthors.net:

Bibliography

2022
Social Bots and Their Coordination During Online Campaigns: A Survey.
IEEE Trans. Comput. Soc. Syst., 2022

Robust Conversational Agents against Imperceptible Toxicity Triggers.
CoRR, 2022

Partisan Asymmetries in Exposure to Misinformation.
CoRR, 2022

Keyword Assisted Embedded Topic Model.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
Identifying and Analyzing Cryptocurrency Manipulations in Social Media.
IEEE Trans. Comput. Soc. Syst., 2021

I'll Play on My Other Account: The Network and Behavioral Differences of Sybils.
Proc. ACM Hum. Comput. Interact., 2021

Detecting cryptocurrency pump-and-dump frauds using market and social signals.
Expert Syst. Appl., 2021

A Survey on Bias and Fairness in Machine Learning.
ACM Comput. Surv., 2021

"Stop Asian Hate!" : Refining Detection of Anti-Asian Hate Speech During the COVID-19 Pandemic.
CoRR, 2021

AutoTriggER: Named Entity Recognition with Auxiliary Trigger Extraction.
CoRR, 2021

Attributing Fair Decisions with Attention Interventions.
CoRR, 2021

Analyzing Race and Country of Citizenship Bias in Wikidata.
CoRR, 2021

Organizational Artifacts of Code Development.
CoRR, 2021

Mapping Moral Valence of Tweets Following the Killing of George Floyd.
CoRR, 2021

Models, Markets, and the Forecasting of Elections.
CoRR, 2021

Analyzing Race and Citizenship Bias in Wikidata.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Lawyers are Dishonest? Quantifying Representational Harms in Commonsense Knowledge Resources.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

One-shot Learning for Temporal Knowledge Graphs.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Identifying Distributional Perspectives from Colingual Groups.
Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021

Exacerbating Algorithmic Bias through Fairness Attacks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Political Partisanship and Anti-Science Attitudes in Online Discussions about Covid-19.
CoRR, 2020

Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms.
CoRR, 2020

Statistical Equity: A Fairness Classification Objective.
CoRR, 2020

Identifying Cultural Differences through Multi-Lingual Wikipedia.
CoRR, 2020

Graph Embedding with Personalized Context Distribution.
Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Aggressive, Repetitive, Intentional, Visible, and Imbalanced: Refining Representations for Cyberbullying Classification.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Man is to Person as Woman is to Location: Measuring Gender Bias in Named Entity Recognition.
Proceedings of the HT '20: 31st ACM Conference on Hypertext and Social Media, 2020

Anchor Attention for Hybrid Crowd Forecasts Aggregation.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Misinformation in Social Media: Definition, Manipulation, and Detection.
SIGKDD Explor., 2019


A Large-Scale Study of ISIS Social Media Strategy: Community Size, Collective Influence, and Behavioral Impact.
Proceedings of the Thirteenth International Conference on Web and Social Media, 2019

Debiasing community detection: the importance of lowly connected nodes.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Identifying Framing Bias in Online News.
ACM Trans. Soc. Comput., 2018

SlangSD: building, expanding and using a sentiment dictionary of slang words for short-text sentiment classification.
Lang. Resour. Evaluation, 2018

Tampering with Twitter's Sample API.
EPJ Data Sci., 2018

Feature Selection: A Data Perspective.
ACM Comput. Surv., 2018

From <i>Alt-Right to Alt-Rechts</i>: Twitter Analysis of the 2017 German Federal Election.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Toward Relational Learning with Misinformation.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Mining and Forecasting Career Trajectories of Music Artists.
Proceedings of the 29th on Hypertext and Social Media, 2018

2017
Discovering, assessing, and mitigating data bias in social media.
Online Soc. Networks Media, 2017

In Search of Coherence and Consensus: Measuring the Interpretability of Statistical Topics.
J. Mach. Learn. Res., 2017

Cross-Platform Emoji Interpretation: Analysis, a Solution, and Applications.
CoRR, 2017

Detecting Camouflaged Content Polluters.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Adaptive Spammer Detection with Sparse Group Modeling.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016
Replacing Mechanical Turkers? Challenges in the Evaluation of Models with Semantic Properties.
ACM J. Data Inf. Qual., 2016

The good, the bad, and the ugly: uncovering novel research opportunities in social media mining.
Int. J. Data Sci. Anal., 2016

SlangSD: Building and Using a Sentiment Dictionary of Slang Words for Short-Text Sentiment Classification.
CoRR, 2016

Can One Tamper with the Sample API?: Toward Neutralizing Bias from Spam and Bot Content.
Proceedings of the 25th International Conference on World Wide Web, 2016

Using Biased Social Samples for Disaster Response: Extended Abstract.
Proceedings of the 2nd IEEE International Conference on Collaboration and Internet Computing, 2016

Paired Restricted Boltzmann Machine for Linked Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Leveraging the Implicit Structure within Social Media for Emergent Rumor Detection.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Finding requests in social media for disaster relief.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

A new approach to bot detection: Striking the balance between precision and recall.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Detecting and mitigating bias in social media.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

A Novel Measure for Coherence in Statistical Topic Models.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Predicting Online Protest Participation of Social Media Users.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Discovering Location Information in Social Media.
IEEE Data Eng. Bull., 2015

Predicting Online Protest Participation of Social Media Users.
CoRR, 2015

Real-Time Crisis Mapping Using Language Distribution.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Social Answer: A System for Finding Appropriate Sites for Questions in Social Media.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Surpassing the Limit: Keyword Clustering to Improve Twitter Sample Coverage.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015

Text, Topics, and Turkers: A Consensus Measure for Statistical Topics.
Proceedings of the 26th ACM Conference on Hypertext & Social Media, 2015

2014
Embassies burning: toward a near-real-time assessment of social media using geo-temporal dynamic network analytics.
Soc. Netw. Anal. Min., 2014

When is it biased?: assessing the representativeness of twitter's streaming API.
Proceedings of the 23rd International World Wide Web Conference, 2014

Finding Eyewitness Tweets During Crises.
Proceedings of the Workshop on Language Technologies and Computational Social Science@ACL 2014, 2014

Twitter Data Analytics
Springer Briefs in Computer Science, Springer, ISBN: 978-1-4614-9371-6, 2014

2013
Understanding Twitter data with TweetXplorer.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Is the Sample Good Enough? Comparing Data from Twitter's Streaming API with Twitter's Firehose.
Proceedings of the Seventh International Conference on Weblogs and Social Media, 2013

Whom should I follow?: identifying relevant users during crises.
Proceedings of the 24th ACM Conference on Hypertext and Social Media (part of ECRC), 2013

Near real time assessment of social media using geo-temporal network analytics.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Opening Doors to Sharing Social Media Data.
IEEE Intell. Syst., 2012

Navigating information facets on twitter (NIF-T).
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Faceted Browsing over Social Media.
Proceedings of the Big Data Analytics, First International Conference, 2012

2011
Feature Selection Strategy in Text Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011


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