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[HTML][HTML] Cyberbullying on social networking sites: A literature review and future research directions
Cyberbullying on social networking sites is an emerging societal issue that has drawn
significant scholarly attention. The purpose of this study is to consolidate the existing …
significant scholarly attention. The purpose of this study is to consolidate the existing …
Advances in machine learning algorithms for hate speech detection in social media: a review
The aim of this paper is to review machine learning (ML) algorithms and techniques for hate
speech detection in social media (SM). Hate speech problem is normally model as a text …
speech detection in social media (SM). Hate speech problem is normally model as a text …
Nature‐Inspired‐Based Approach for Automated Cyberbullying Classification on Multimedia Social Networking
In the modern era, the cyberbullying (CB) is an intentional and aggressive action of an
individual or a group against a victim via electronic media. The consequence of CB is …
individual or a group against a victim via electronic media. The consequence of CB is …
Improving cyberbullying detection using Twitter users' psychological features and machine learning
Empirical evidences linking users' psychological features such as personality traits and
cybercrimes such as cyberbullying are many. This study deals with automatic cyberbullying …
cybercrimes such as cyberbullying are many. This study deals with automatic cyberbullying …
Automatic detection of cyberbullying using multi-feature based artificial intelligence with deep decision tree classification
Recent studies have shown that cyberbullying is a rising youth epidemic. In this paper, we
develop a novel automated classification model that identifies the cyberbullying texts without …
develop a novel automated classification model that identifies the cyberbullying texts without …
Identification of cyber harassment and intention of target users on social media platforms
Due to Coronavirus diseases in 2020, all the countries departed into lockdown to combat the
spread of the pandemic situation. Schools and institutions remain closed and students' …
spread of the pandemic situation. Schools and institutions remain closed and students' …
Aggression detection through deep neural model on twitter
Social interaction is being facilitated by every online environment that results in rise of anti-
social behavior. Incidents like cyberbullying, trolling and hate speech have been grown …
social behavior. Incidents like cyberbullying, trolling and hate speech have been grown …
[HTML][HTML] Session-based cyberbullying detection in social media: A survey
Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim
through a social media session. By investigating cyberbullying perpetrated through social …
through a social media session. By investigating cyberbullying perpetrated through social …
A multichannel deep learning framework for cyberbullying detection on social media
Online social networks (OSNs) play an integral role in facilitating social interaction; however,
these social networks increase antisocial behavior, such as cyberbullying, hate speech, and …
these social networks increase antisocial behavior, such as cyberbullying, hate speech, and …
[HTML][HTML] Psychographic traits identification based on political ideology: An author analysis study on spanish politicians' tweets posted in 2020
In general, people are usually more reluctant to follow advice and directions from politicians
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …