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Found 9 papers, 3 papers with code
Quantifying Community Characteristics of Maternal Mortality Using Social Media
While most mortality rates have decreased in the US, maternal mortality has increased and is among the highest of any OECD nation.
Learning Word Ratings for Empathy and Distress from Document-Level User Responses
The underlying problem of learning word ratings from higher-level supervision has to date only been addressed in an ad hoc fashion and has not used deep learning methods.
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.
Identifying Locus of Control in Social Media Language
Individuals express their locus of control, or {``}control{''}, in their language when they identify whether or not they are in control of their circumstances.
Modeling Empathy and Distress in Reaction to News Stories
Computational detection and understanding of empathy is an important factor in advancing human-computer interaction.
Predicting Human Trustfulness from Facebook Language
Trustfulness -- one's general tendency to have confidence in unknown people or situations -- predicts many important real-world outcomes such as mental health and likelihood to cooperate with others such as clinicians.
