Social Media Analysis

Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019 ACL 2019 Predicting Human Activities from User-Generated Content ACL 2019 Social Media-based User Embedding: A Literature Review IJCAI 2019 Social Reinforcement Learning to Combat Fake News Spread UAI 2019 The Discourse of Online Content Moderation: Investigating Polarized User Responses to Changes in Reddit’s Quarantine Policy ACL 2019 Tkol, Httt, and r/radiohead: High Affinity Terms in Reddit Communities EMNLP 2019 Towards Effective Rebuttal: Listening Comprehension Using Corpus-Wide Claim Mining ACL 2019 What does the language of foods say about us? EMNLP 2019 A Crowd-Annotated Spanish Corpus for Humor Analysis ACL 2018 Causality Analysis of Twitter Sentiments and Stock Market Returns ACL 2018 Geocoding Without Geotags: A Text-based Approach for reddit EMNLP 2018 Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources ACL 2018 Improving Classification of Twitter Behavior During Hurricane Events ACL 2018 It’s going to be okay: Measuring Access to Support in Online Communities EMNLP 2018 Leveraging News Sentiment to Improve Microblog Sentiment Classification in the Financial Domain ACL 2018 Measuring Issue Ownership using Word Embeddings EMNLP 2018 Modeling Online Discourse with Coupled Distributed Topics EMNLP 2018 Not Just Depressed: Bipolar Disorder Prediction on Reddit EMNLP 2018 Political discourse classification in social networks using context sensitive convolutional neural networks ACL 2018 Residualized Factor Adaptation for Community Social Media Prediction Tasks EMNLP 2018 The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions EMNLP 2018 Beyond Binary Labels: Political Ideology Prediction of Twitter Users ACL 2017 Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning ACL 2017 Estimating Code-Switching on Twitter with a Novel Generalized Word-Level Language Detection Technique ACL 2017 Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters EMNLP 2017