Popular Cyberbullying Detection Methods on Social Media

In contemporary times, the utilisation of social networks entails inherent risks, particularly on platforms such as Instagram, Twitter, and TikTok, which facilitate anonymous usage and the creation of fictitious profiles. The cloak of anonymity has fostered an ideal environment for cyberbullying, a form of harassment that unfolds in the virtual realm accessed by children and youth through information and communication technologies like the Internet and cell phones. Cyberbullying is pervasive across numerous countries globally. Consequently, a multitude of studies have delved into diverse solutions aimed at preventing cyberbullying, including various approaches and techniques for identifying and detecting it through the analysis of text language. This systematic review seeks to encompass these scientific studies that primarily focus on the classification of cyberbullying based on the language employed in online communication.

Authors

Publication Details

Journal
ASM Science Journal
Published
2024-12-13
DOI
https://doi.org/10.32802/asmscj.2023.1448
Primary Topic
Hate Speech and Cyberbullying Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Popular Cyberbullying Detection Methods on Social Media

Zineb Lamghari
ASM Science Journal
Hate Speech and Cyberbullying Detection
article

Popular Cyberbullying Detection Methods on Social Media

Zineb Lamghari
article en

Abstract

In contemporary times, the utilisation of social networks entails inherent risks, particularly on platforms such as Instagram, Twitter, and TikTok, which facilitate anonymous usage and the creation of fictitious profiles. The cloak of anonymity has fostered an ideal environment for cyberbullying, a form of harassment that unfolds in the virtual realm accessed by children and youth through information and communication technologies like the Internet and cell phones. Cyberbullying is pervasive across numerous countries globally. Consequently, a multitude of studies have delved into diverse solutions aimed at preventing cyberbullying, including various approaches and techniques for identifying and detecting it through the analysis of text language. This systematic review seeks to encompass these scientific studies that primarily focus on the classification of cyberbullying based on the language employed in online communication.

ASM Science JournalVol. 19
Peace, Justice and strong institutions
Openalex Percentile: Top 79%
Hate Speech and Cyberbullying Detection
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.