The value of social media language for the assessment of wellbeing: A systematic review and meta-analysis
Wellbeing is predominantly measured through self-reports, which is time-consuming and
costly. It can also be measured by automatically analysing language expressed on social …
costly. It can also be measured by automatically analysing language expressed on social …
Chatgpt an enfj, bard an istj: Empirical study on personalities of large language models
Large Language Models (LLMs) have made remarkable advancements in the field of
artificial intelligence, significantly reshaping the human-computer interaction. We not only …
artificial intelligence, significantly reshaping the human-computer interaction. We not only …
Spatial analysis for psychologists: How to use individual-level data for research at the geographically aggregated level.
Psychologists have become increasingly interested in the geographical organization of
psychological phenomena. Such studies typically seek to identify geographical variation in …
psychological phenomena. Such studies typically seek to identify geographical variation in …
Opioid death projections with AI-based forecasts using social media language
Targeting of location-specific aid for the US opioid epidemic is difficult due to our inability to
accurately predict changes in opioid mortality across heterogeneous communities. AI-based …
accurately predict changes in opioid mortality across heterogeneous communities. AI-based …
Building knowledge-guided lexica to model cultural variation
Cultural variation exists between nations (eg, the United States vs. China), but also within
regions (eg, California vs. Texas, Los Angeles vs. San Francisco). Measuring this regional …
regions (eg, California vs. Texas, Los Angeles vs. San Francisco). Measuring this regional …
On the reliability of psychological scales on large language models
Recent research has focused on examining Large Language Models'(LLMs) characteristics
from a psychological standpoint, acknowledging the necessity of understanding their …
from a psychological standpoint, acknowledging the necessity of understanding their …
Predicting US county opioid poisoning mortality from multi-modal social media and psychological self-report data
Opioid poisoning mortality is a substantial public health crisis in the United States, with
opioids involved in approximately 75% of the nearly 1 million drug related deaths since …
opioids involved in approximately 75% of the nearly 1 million drug related deaths since …
[HTML][HTML] Robust language-based mental health assessments in time and space through social media
In the most comprehensive population surveys, mental health is only broadly captured
through questionnaires asking about “mentally unhealthy days” or feelings of “sadness.” …
through questionnaires asking about “mentally unhealthy days” or feelings of “sadness.” …
[PDF][PDF] Populists' use of nostalgia: A supervised machine learning approach
An emotion that has recently gained traction in the context of populism is nostalgia, a
sentimental longing or wistful affection for the past. Nostalgia can refer to the past of one's …
sentimental longing or wistful affection for the past. Nostalgia can refer to the past of one's …
A cross-modal study of pain across communities in the united states
Pain is one of the most prevalent reasons for seeking medical attention in the United States.
Understanding how different communities report and express pain can aid in directing …
Understanding how different communities report and express pain can aid in directing …