Advances and open questions in the science of subjective well-being

E Diener, RE Lucas, S Oishi - Collabra: Psychology, 2018 - online.ucpress.edu
Subjective well-being (SWB) is an extremely active area of research with about 170,000
articles and books published on the topic in the past 15 years. Methodological and …

Community detection algorithms in healthcare applications: a systematic review

M Rostami, M Oussalah, K Berahmand… - IEEE Access, 2023 - ieeexplore.ieee.org
Over the past few years, the number and volume of data sources in healthcare databases
has grown exponentially. Analyzing these voluminous medical data is both opportunity and …

Third wave positive psychology: Broadening towards complexity

T Lomas, L Waters, P Williams, LG Oades… - The Journal of Positive …, 2021 - Taylor & Francis
The development of academic fields is often described through the metaphor of
'waves.'Following the instantiation of positive psychology (the first wave), scholarship …

Predictive biases in natural language processing models: A conceptual framework and overview

D Shah, HA Schwartz, D Hovy - arXiv preprint arXiv:1912.11078, 2019 - arxiv.org
An increasing number of works in natural language processing have addressed the effect of
bias on the predicted outcomes, introducing mitigation techniques that act on different parts …

Closed-and open-vocabulary approaches to text analysis: A review, quantitative comparison, and recommendations.

JC Eichstaedt, ML Kern, DB Yaden… - Psychological …, 2021 - psycnet.apa.org
Technology now makes it possible to understand efficiently and at large scale how people
use language to reveal their everyday thoughts, behaviors, and emotions. Written text has …

[HTML][HTML] Social networking sites, depression, and anxiety: a systematic review

EM Seabrook, ML Kern, NS Rickard - JMIR mental health, 2016 - mental.jmir.org
Background: Social networking sites (SNSs) have become a pervasive part of modern
culture, which may also affect mental health. Objective: The aim of this systematic review …

Using social media for mental health surveillance: a review

R Skaik, D Inkpen - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …

Automatic personality assessment through social media language.

G Park, HA Schwartz, JC Eichstaedt… - Journal of personality …, 2015 - psycnet.apa.org
Abstract Language use is a psychologically rich, stable individual difference with well-
established correlations to personality. We describe a method for assessing personality …

Sentiment analysis: Detecting valence, emotions, and other affectual states from text

SM Mohammad - Emotion measurement, 2016 - Elsevier
Sentiment analysis is the task of automatically determining from text the attitude, emotion, or
some other affectual state of the author. This chapter summarizes the diverse landscape of …

Psychological language on Twitter predicts county-level heart disease mortality

JC Eichstaedt, HA Schwartz, ML Kern… - Psychological …, 2015 - journals.sagepub.com
Hostility and chronic stress are known risk factors for heart disease, but they are costly to
assess on a large scale. We used language expressed on Twitter to characterize community …