Using natural language processing to analyse text data in behavioural science

S Feuerriegel, A Maarouf, D Bär, D Geissler… - Nature Reviews …, 2025 - nature.com
Abstract Language is a uniquely human trait at the core of human interactions. The
language people use often reflects their personality, intentions and state of mind. With the …

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

S Joel, PW Eastwick, CJ Allison… - Proceedings of the …, 2020 - National Acad Sciences
Given the powerful implications of relationship quality for health and well-being, a central
mission of relationship science is explaining why some romantic relationships thrive more …

When confidence meets accuracy: Exploring the effects of multiple performance indicators on trust in machine learning models

A Rechkemmer, M Yin - Proceedings of the 2022 chi conference on …, 2022 - dl.acm.org
Previous research shows that laypeople's trust in a machine learning model can be affected
by both performance measurements of the model on the aggregate level and performance …

How Do People Feel About Mates?

PW Eastwick, S Joel - Annual Review of Psychology, 2025 - annualreviews.org
Where do positive feelings about a romantic or sexual partner come from? This article offers
an overview of—and imposes some structure on—the enormous literature on mate …

[LIVRE][B] Interpersonal perception: The foundation of social relationships

DA Kenny - 2019 - books.google.com
People make judgments about others all the time, often without realizing they are doing so.
How are interpersonal impressions formed? How accurate are our perceptions of other …

[LIVRE][B] Familienformen im sozialen Wandel

R Peuckert - 1991 - Springer
In der ersten Auflage–einem kleinen roten Büchlein–stand schon damals–gut recherchiert,
systematisiert und verständlich geschrieben–alles drin, was es Wissenswertes über die …

Psychological science in the wake of COVID-19: Social, methodological, and metascientific considerations

DL Rosenfeld, E Balcetis, B Bastian… - Perspectives on …, 2022 - journals.sagepub.com
The COVID-19 pandemic has extensively changed the state of psychological science from
what research questions psychologists can ask to which methodologies psychologists can …

Debiasing desire: Addressing bias & discrimination on intimate platforms

JA Hutson, JG Taft, S Barocas, K Levy - … of the ACM on Human-Computer …, 2018 - dl.acm.org
Designing technical systems to be resistant to bias and discrimination represents vital new
terrain for researchers, policymakers, and the anti-discrimination project more broadly. We …

Dyadic listening in teams: Social relations model

AN Kluger, TE Malloy, S Pery, G Itzchakov… - Applied …, 2021 - Wiley Online Library
Listening has powerful organizational consequences. However, studies of listening have
typically focused on individual level processes. Alternatively, we hypothesized that …

Is infidelity predictable? Using explainable machine learning to identify the most important predictors of infidelity

LM Vowels, MJ Vowels, KP Mark - The Journal of Sex Research, 2022 - Taylor & Francis
Infidelity can be a disruptive event in a romantic relationship with a devastating impact on
both partners' well-being. Thus, there are benefits to identifying factors that can explain or …