The value of social media language for the assessment of wellbeing: A systematic review and meta-analysis

S Sametoğlu, DHM Pelt, JC Eichstaedt… - The Journal of …, 2024 - Taylor & Francis
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 …

Chatgpt an enfj, bard an istj: Empirical study on personalities of large language models

J Huang, W Wang, MH Lam, EJ Li, W Jiao… - arXiv preprint arXiv …, 2023 - arxiv.org
Large Language Models (LLMs) have made remarkable advancements in the field of
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.

T Ebert, FM Götz, L Mewes, PJ Rentfrow - Psychological Methods, 2023 - psycnet.apa.org
Psychologists have become increasingly interested in the geographical organization of
psychological phenomena. Such studies typically seek to identify geographical variation in …

Opioid death projections with AI-based forecasts using social media language

M Matero, S Giorgi, B Curtis, LH Ungar… - NPJ Digital …, 2023 - nature.com
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 …

Building knowledge-guided lexica to model cultural variation

S Havaldar, S Giorgi, S Rai, YM Cho, T Talhelm… - arXiv preprint arXiv …, 2024 - arxiv.org
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 …

On the reliability of psychological scales on large language models

J Huang, W Jiao, MH Lam, EJ Li… - Proceedings of The …, 2024 - aclanthology.org
Recent research has focused on examining Large Language Models'(LLMs) characteristics
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

S Giorgi, DB Yaden, JC Eichstaedt, LH Ungar… - Scientific reports, 2023 - nature.com
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 …

[HTML][HTML] Robust language-based mental health assessments in time and space through social media

S Mangalik, JC Eichstaedt, S Giorgi, J Mun… - NPJ Digital …, 2024 - nature.com
In the most comprehensive population surveys, mental health is only broadly captured
through questionnaires asking about “mentally unhealthy days” or feelings of “sadness.” …

[PDF][PDF] Populists' use of nostalgia: A supervised machine learning approach

L Frischlich, L Clever, T Wulf, T Wildschut… - International Journal …, 2023 - southampton.ac.uk
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 …

A cross-modal study of pain across communities in the united states

A Aggarwal, S Rai, S Giorgi, S Havaldar… - … Proceedings of the …, 2023 - dl.acm.org
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 …