Aron Culotta

Orcid: 0000-0003-2660-7575

According to our database1, Aron Culotta authored at least 63 papers between 2004 and 2024.

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

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Bibliography

2024
Forecasting Political News Engagement on Social Media.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

Characterizing Online Criticism of Partisan News Media Using Weakly Supervised Learning.
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

How Does Empowering Users with Greater System Control Affect News Filter Bubbles?
Proceedings of the Eighteenth International AAAI Conference on Web and Social Media, 2024

2023
Domain Adaptation for Learning from Label Proportions Using Domain-Adversarial Neural Network.
SN Comput. Sci., September, 2023

Online Reviews Are Leading Indicators of Changes in K-12 School Attributes.
Proceedings of the ACM Web Conference 2023, 2023

Forecasting COVID-19 Vaccination Rates using Social Media Data.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022
Big Data and Emergency Management: Concepts, Methodologies, and Applications.
IEEE Trans. Big Data, 2022

Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Identifying Hurricane Evacuation Intent on Twitter.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

Leaders or Followers? A Temporal Analysis of Tweets from IRA Trolls.
Proceedings of the Sixteenth International AAAI Conference on Web and Social Media, 2022

2021
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach.
CoRR, 2021

The Interaction between Political Typology and Filter Bubbles in News Recommendation Algorithms.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Characterizing Variation in Toxic Language by Social Context.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

Identifying spurious correlations for robust text classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Discovering and Controlling for Latent Confounds in Text Classification Using Adversarial Domain Adaptation.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Personality and Behavior in Role-based Online Games.
Proceedings of the IEEE Conference on Games, 2019

Estimating tie strength in follower networks to measure brand perceptions.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Collecting representative social media samples from a search engine by adaptive query generation.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

When Do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception Using Individual Treatment Effect Estimation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning from noisy label proportions for classifying online social data.
Soc. Netw. Anal. Min., 2018

Robust Text Classification under Confounding Shift.
J. Artif. Intell. Res., 2018

Forecasting the Presence and Intensity of Hostility on Instagram Using Linguistic and Social Features.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

2017
Deceptiveness of internet data for disease surveillance.
CoRR, 2017

WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Controlling for Unobserved Confounds in Classification Using Correlational Constraints.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Identifying Leading Indicators of Product Recalls from Online Reviews Using Positive Unlabeled Learning and Domain Adaptation.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Are Words Commensurate with Actions? Quantifying Commitment to a Cause from Online Public Messaging.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Co-Training for Demographic Classification Using Deep Learning from Label Proportions.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Mining the Demographics of Political Sentiment from Twitter Using Learning from Label Proportions.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016
Training a text classifier with a single word using Twitter Lists and domain adaptation.
Soc. Netw. Anal. Min., 2016

Mining Brand Perceptions from Twitter Social Networks.
Mark. Sci., 2016

Predicting Twitter User Demographics using Distant Supervision from Website Traffic Data.
J. Artif. Intell. Res., 2016

Cold-Start Recommendations for Audio News Stories Using Matrix Factorization.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Domain Adaptation for Learning from Label Proportions Using Self-Training.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Towards Identifying Leading Indicators of Smoking Cessation Attempts from Social Media.
Proceedings of the 2016 IEEE International Conference on Healthcare Informatics, 2016

Robust Text Classification in the Presence of Confounding Bias.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Inferring latent attributes of Twitter users with label regularization.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Data deidentification in medical transcriptions using regular expressions and machine learning.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Using Matched Samples to Estimate the Effects of Exercise on Mental Health via Twitter.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Predicting the Demographics of Twitter Users from Website Traffic Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Tweedr: Mining twitter to inform disaster response.
Proceedings of the 11th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2014

Inferring the origin locations of tweets with quantitative confidence.
Proceedings of the Computer Supported Cooperative Work, 2014

Estimating county health statistics with twitter.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014

Anytime Active Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages.
Lang. Resour. Evaluation, 2013

Towards anytime active learning: interrupting experts to reduce annotation costs.
Proceedings of the ACM SIGKDD Workshop on Interactive Data Exploration and Analytics, 2013

2011
SampleRank: Training Factor Graphs with Atomic Gradients.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Detecting influenza outbreaks by analyzing Twitter messages
CoRR, 2010

IT-Discovery at TREC 2010 Legal.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

Towards detecting influenza epidemics by analyzing Twitter messages.
Proceedings of the First Workshop on Social Media Analytics, 2010

2009
An Entity Based Model for Coreference Resolution.
Proceedings of the SIAM International Conference on Data Mining, 2009

2007
First-Order Probabilistic Models for Coreference Resolution.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Canonicalization of database records using adaptive similarity measures.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006
Corrective feedback and persistent learning for information extraction.
Artif. Intell., 2006

Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Learning Field Compatibilities to Extract Database Records from Unstructured Text.
Proceedings of the EMNLP 2006, 2006

2005
Joint deduplication of multiple record types in relational data.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Reducing Labeling Effort for Structured Prediction Tasks.
Proceedings of the Proceedings, 2005

2004
Confidence Estimation for Information Extraction.
Proceedings of HLT-NAACL 2004: Short Papers, Boston, Massachusetts, USA, May 2-7, 2004, 2004

Extracting social networks and contact information from email and the Web.
Proceedings of the CEAS 2004, 2004

Dependency Tree Kernels for Relation Extraction.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

Interactive Information Extraction with Constrained Conditional Random Fields.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004


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