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Found 5 papers, 2 papers with code
Understanding Lexical Biases when Identifying Gang-related Social Media Communications
Individuals involved in gang-related activity use mainstream social media including Facebook and Twitter to express taunts and threats as well as grief and memorializing.
Theme and Topic: How Qualitative Research and Topic Modeling Can Be Brought Together
Probabilistic topic modelling is a machine learning approach that is also based around the analysis of text and often is used to in order to understand social phenomena.
PoxVerifi: An Information Verification System to Combat Monkeypox Misinformation
In an attempt to combat monkeypox-related misinformation, we present PoxVerifi, an open-source, extensible tool that provides a comprehensive approach to assessing the accuracy of monkeypox related claims.
An Information Retrieval Approach to Building Datasets for Hate Speech Detection
Our key insight is that the rarity and subjectivity of hate speech are akin to that of relevance in information retrieval (IR).
CML-COVID: A Large-Scale COVID-19 Twitter Dataset with Latent Topics, Sentiment and Location Information
Understanding public opinion about COVID-19 and how information diffuses in social media is important for governments and research institutions.
Sentiment Analysis
Social and Information Networks
Computers and Society
Human-Computer Interaction
J.4; H.3.5; K.4
