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Found 14 papers, 2 papers with code
Understanding Weekly COVID-19 Concerns through Dynamic Content-Specific LDA Topic Modeling
The novelty and global scale of the COVID-19 pandemic has lead to rapid societal changes in a short span of time.
WWBP-SQT-lite: Multi-level Models and Difference Embeddings for Moments of Change Identification in Mental Health Forums
Psychological states unfold dynamically; to understand and measure mental health at scale we need to detect and measure these changes from sequences of online posts.
Explaining the Trump Gap in Social Distancing Using COVID Discourse
Our ability to limit the future spread of COVID-19 will in part depend on our understanding of the psychological and sociological processes that lead people to follow or reject coronavirus health behaviors.
Empathic Conversations: A Multi-level Dataset of Contextualized Conversations
Hence, we collected detailed characterization of the participants' traits, their self-reported empathetic response to news articles, their conversational partner other-report, and turn-by-turn third-party assessments of the level of self-disclosure, emotion, and empathy expressed.
Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency
As the frequency of Black names on social media is strongly correlated with Black Americans' prevalence in the population, this results in spurious anti-Black WEAT estimates wherever few Black Americans live.
Understanding and Measuring Psychological Stress using Social Media
In this paper, we explore the language of psychological stress with a dataset of 601 social media users, who answered the Perceived Stress Scale questionnaire and also consented to share their Facebook and Twitter data.
DLATK: Differential Language Analysis ToolKit
We present Differential Language Analysis Toolkit (DLATK), an open-source python package and command-line tool developed for conducting social-scientific language analyses.
