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

Ogive Graph01:07

Ogive Graph

6.3K
An ogive graph is sometimes called a cumulative frequency polygon. It is one type of frequency polygon that shows cumulative frequency. In other words, the cumulative percentages are added to the graph from left to right. An ogive graph plots cumulative frequency on the vertical y-axis and class boundaries along the horizontal x-axis. It’s very similar to a histogram; only instead of rectangles, an ogive displays a single point where the top right of the rectangle would be. Creating this...
6.3K
Aggression01:47

Aggression

29.2K
Humans engage in aggression when they seek to cause harm or pain to another person. Aggression takes two forms depending on one’s motives: hostile or instrumental. Hostile aggression is motivated by feelings of anger with intent to cause pain; a fight in a bar with a stranger is an example of hostile aggression. In contrast, instrumental aggression is motivated by achieving a goal and does not necessarily involve intent to cause pain (Berkowitz, 1993); a contract killer who murders for...
29.2K
Bullying02:04

Bullying

8.6K
A modern form of aggression is bullying. As you learn in your study of child development, socializing and playing with other children is beneficial for children’s psychological development. However, as you may have experienced as a child, not all play behavior has positive outcomes. Some children are aggressive and want to play roughly. Other children are selfish and do not want to share toys. One form of negative social interactions among children that has become a national concern is...
8.6K
Classification of Signals01:30

Classification of Signals

1.1K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.1K
Bar Graph01:07

Bar Graph

20.7K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
20.7K
Affinity and Avidity01:41

Affinity and Avidity

37.3K
Overview
37.3K

You might also read

Related Articles

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

Sort by
Same author

Improving social determinants of health documentation in French electronic health records using large language models.

Scientific reports·2025
Same author

Evaluating how different versions of ChatGPT align with expert opinions on geriatric script concordance tests.

European geriatric medicine·2025
Same author

A dataset of the representatives elected in France during the fifth republic.

Data in brief·2025
Same author

FOPPA: an open database of French public procurement award notices from 2010-2020.

Scientific data·2023
Same author

Multi-label classification for biomedical literature: an overview of the BioCreative VII LitCovid Track for COVID-19 literature topic annotations.

Database : the journal of biological databases and curation·2022
Same author

Cerebral modeling and dynamic Bayesian networks.

Artificial intelligence in medicine·2004

Related Experiment Video

Updated: Nov 14, 2025

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

5.4K

Abusive Language Detection in Online Conversations by Combining Content- and Graph-Based Features.

Noé Cécillon1, Vincent Labatut1, Richard Dufour1

  • 1LIA, Avignon University, Avignon, France.

Frontiers in Big Data
|March 11, 2021
PubMed
Summary

This study introduces a new method to detect abusive messages in online social networks by combining message content and conversation structure analysis. This approach significantly improves moderation accuracy, achieving a 93.26% F-measure.

Keywords:
automatic abuse detectioncontent analysisconversational graphonline conversationssocial networks

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

888
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

659

Related Experiment Videos

Last Updated: Nov 14, 2025

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

5.4K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

888
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

659

Area of Science:

  • Computational Social Science
  • Natural Language Processing
  • Machine Learning

Background:

  • Online social networks facilitate global user interaction and discussion.
  • Manual moderation of inappropriate user behavior is increasingly challenging due to message volume.
  • Automated moderation methods primarily rely on textual content analysis.

Purpose of the Study:

  • To develop and evaluate fusion methods for integrating content- and graph-based features for abusive message detection.
  • To improve the accuracy of automated moderation in online social networks.

Main Methods:

  • Proposed fusion methods that combine textual content features with conversational graph structures.
  • Experimental evaluation using raw chat logs to assess classification performance.

Main Results:

  • Demonstrated that both message content and conversational dynamics provide complementary information for moderation.
  • Achieved a significant performance improvement in abusive message classification.
  • Attained a final F-measure of 93.26%.

Conclusions:

  • Integrating content- and graph-based features offers a more effective approach to automated moderation.
  • The dynamics of conversations are crucial indicators for detecting abusive messages.
  • The proposed fusion method enhances the reliability and efficiency of online community moderation.