Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Defining Social Psychology01:09

Defining Social Psychology

387
Social psychology investigates how the presence and actions of others influence individual behavior, cognition, and emotion. Examining the social environment's impact provides a scientific framework for understanding how individuals perceive others and are, in turn, influenced by them. This field seeks to uncover the underlying principles guiding social interactions, exploring phenomena such as conformity, obedience, and prosocial behavior.Core Themes in Social PsychologyOne central focus of...
387
Social Psychology and Individual Behavior01:29

Social Psychology and Individual Behavior

286
Social psychology examines how group dynamics, emotions, and cultural influences shape individual actions and decision-making. These elements interact to form behavioral patterns that affect personal choices and social interactions.The Role of Group DynamicsGroups play a crucial role in shaping behavior by reinforcing norms and expectations. Individuals derive a sense of self from group membership, often aligning their behaviors with group norms to maintain social cohesion. For example, an...
286
Scientific Nature of Social Psychology01:30

Scientific Nature of Social Psychology

553
Social psychology is a scientific discipline dedicated to understanding how individuals think, feel, and behave in social contexts. Unlike common sense, which relies on anecdotal experiences and intuition, social psychology employs systematic research and empirical methods to ensure objectivity and reliability. This distinction is fundamental in distinguishing scientifically supported findings from mere speculation.Four fundamental scientific values guide a structured approach to research in...
553
Social Scripts02:10

Social Scripts

10.3K
People tend to know what behavior is expected of them in specific, familiar settings. A script is a person’s knowledge about the sequence of events expected in a specific setting (Schank & Abelson, 1977). Essentially, scripts are a particular kind of schema, one containing default values for the features within an event. In the restaurant example, the script's features include the props (e.g., tables, menu, food, and money), the roles to be played (e.g., customer and waiter),...
10.3K
Social Proof00:52

Social Proof

31.5K
Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
31.5K
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

516
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
516

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Adapting language models for mental health analysis on social media.

Artificial intelligence in medicine·2025
Same author

Evaluating search engines and large language models for answering health questions.

NPJ digital medicine·2025
Same author

Explainable depression symptom detection in social media.

Health information science and systems·2024
Same author

Automatic depression score estimation with word embedding models.

Artificial intelligence in medicine·2022
Same author

A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media.

International journal of environmental research and public health·2020
Same author

Organic cattle products: Authenticating production origin by analysis of serum mineral content.

Food chemistry·2018

Related Experiment Video

Updated: Jan 25, 2026

The Trier Social Stress Test Protocol for Inducing Psychological Stress
09:39

The Trier Social Stress Test Protocol for Inducing Psychological Stress

Published on: October 19, 2011

58.1K

Exploiting topic analysis models to explore psychological dimensions in social media data.

Manuel Couto1, Javier Parapar2, David E Losada3

  • 1Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain. manuel.couto.pintos@usc.es.

Scientific Reports
|January 23, 2026
PubMed
Summary

BERTopic, an embedding-based topic model, excels at identifying psychological patterns in noisy social media data. Human evaluation confirmed its superior ability to detect depression-related themes for mental health analysis.

Keywords:
Large language modelsMental healthPsychological analysisSocial mediaTopic analisis

More Related Videos

The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test
11:13

The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test

Published on: November 19, 2015

14.5K
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.5K

Related Experiment Videos

Last Updated: Jan 25, 2026

The Trier Social Stress Test Protocol for Inducing Psychological Stress
09:39

The Trier Social Stress Test Protocol for Inducing Psychological Stress

Published on: October 19, 2011

58.1K
The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test
11:13

The Social Dimension of Stress: Experimental Manipulations of Social Support and Social Identity in the Trier Social Stress Test

Published on: November 19, 2015

14.5K
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.5K

Area of Science:

  • Computational linguistics
  • Psychological informatics
  • Social media analytics

Background:

  • Automatic topic generation is crucial for analyzing unstructured text.
  • Its use in extracting psychological patterns from noisy web data is underexplored.
  • Mental health analysis of social media requires robust topic modeling.

Purpose of the Study:

  • Compare three topic models (Latent Dirichlet Allocation, BERTopic, TopClus) for psychological pattern extraction.
  • Evaluate model performance on mental health data from the eRisk initiative.
  • Assess topic quality using automatic metrics and expert human evaluation.

Main Methods:

  • Utilized posts from individuals with depressive disorders and control groups.
  • Employed Latent Dirichlet Allocation, BERTopic, and TopClus topic models.
  • Conducted both automatic coherence scoring and expert human review for validation.

Main Results:

  • BERTopic significantly outperformed other models in perceived coherence and specificity.
  • BERTopic identified clearer depression-related themes, including mental health struggles and self-harm.
  • Human evaluation validated BERTopic's effectiveness in sensitive mental health applications.

Conclusions:

  • Advanced topic models like BERTopic show significant potential for mental health analysis in social media.
  • Human evaluation is critical for validating topic quality in complex, sensitive datasets.
  • Findings offer actionable insights for psychological screening using social media data.