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 …

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 …

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 …

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 …

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 …

Digital Memory and Populism| Populists' Use of Nostalgia: A Supervised Machine Learning Approach

L Frischlich, L Clever, T Wulf, T Wildschut… - International Journal of …, 2023 - ijoc.org
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 …

[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.” …

Revisiting the reliability of psychological scales on large language models

J Huang, W Jiao, MH Lam, EJ Li, W Wang… - arxiv preprint arxiv …, 2023 - arxiv.org
Recent research has focused on examining Large Language Models'(LLMs) characteristics
from a psychological standpoint, acknowledging the necessity of understanding their …

[KNIHA][B] Robot souls: programming in humanity

E Poole - 2023 - taylorfrancis.com
Two of the biggest design problems in Artificial Intelligence are how to build robots that
behave in line with human values and how to stop them ever going rogue. One under …