Twitter Discussions and Emotions About the COVID-19 Pandemic: Machine Learning Approach

Jia Xue, Junxiang Chen, Ran Hu, +4

Journal of Medical Internet Research

Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter

Jia Xue, Junxiang Chen, Chen Chen, +3

PLoS ONE

Public OpinionPublic DiscourseCommunicationCovid-19 EpidemiologyTopic Modeling +19

The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets

Jia Xue, Junxiang Chen, Chen Chen, +2

Journal of Medical Internet Research

Examining the Impact of COVID-19 Lockdown in Wuhan and Lombardy: A Psycholinguistic Analysis on Weibo and Twitter

Yue Su, Jia Xue, Xiaoqian Liu, +6

International Journal of Environmental Research and Public Health

KAN: Knowledge-aware Attention Network for Fake News Detection

Yaqian Dun, Kefei Tu, Chen Chen, +2

Proceedings of the AAAI Conference on Artificial Intelligence

Fake NewsNatural Language ProcessingSocial MediaEngineeringData Science +12

Inequalities in Neighborhood Child Asthma Admission Rates and Underlying Community Characteristics in One US County

Andrew F. Beck, Terri Moncrief, Bin Huang, +4

The Journal of Pediatrics

AsthmaUrban HealthCommunity EnvironmentChild HealthUnderlying Community Characteristics +8

Rumor2vec: A rumor detection framework with joint text and propagation structure representation learning

Kefei Tu, Chen Chen, Chunyan Hou, +3

Information Sciences

Natural Language ProcessingEngineeringData ScienceRumor Detection FrameworkDisinformation Detection +10

Feeling the Heat: Adapting to Climate Change in the Middle East and Central Asia

Vahram Stepanyan, Yasser Abdih, Abdullah Al-Hassan, +11

Departmental Paper

Algorithms Based on Divide and Conquer for Topic-Based Publish/Subscribe Overlay Design

Chen Chen, Hans‐Arno Jacobsen, Roman Vitenberg

IEEE/ACM Transactions on Networking

Cluster ComputingEngineeringNetwork AnalysisComputational Social ScienceInformation Retrieval +19

Twitter discussions and emotions about COVID-19 pandemic: a machine learning approach

Jia Xue, Junxiang Chen, Ran Hu, +4

arXiv (Cornell University)