Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Multi‐aspects AI‐based modeling and adversarial learning for cybersecurity intelligence and robustness: A comprehensive overview
Due to the rising dependency on digital technology, cybersecurity has emerged as a more
prominent field of research and application that typically focuses on securing devices …
prominent field of research and application that typically focuses on securing devices …
[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 …
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 …
DEA-RNN: A hybrid deep learning approach for cyberbullying detection in Twitter social media platform
Cyberbullying (CB) has become increasingly prevalent in social media platforms. With the
popularity and widespread use of social media by individuals of all ages, it is vital to make …
popularity and widespread use of social media by individuals of all ages, it is vital to make …
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 …
Towards comprehensive cyberbullying detection: A dataset incorporating aggressive texts, repetition, peerness, and intent to harm
The increasing usage of social media networks has raised concerns about the growing
frequency of cyberbullying incidents. The definition of cyberbullying lacks universal …
frequency of cyberbullying incidents. The definition of cyberbullying lacks universal …
Design principles for user interfaces in AI-Based decision support systems: The case of explainable hate speech detection
Hate speech in social media is an increasing problem that can negatively affect individuals
and society as a whole. Moderators on social media platforms need to be technologically …
and society as a whole. Moderators on social media platforms need to be technologically …
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 …
A multitask framework for sentiment, emotion and sarcasm aware cyberbullying detection from multi-modal code-mixed memes
Detecting cyberbullying from memes is highly challenging, because of the presence of the
implicit affective content which is also often sarcastic, and multi-modality (image+ text). The …
implicit affective content which is also often sarcastic, and multi-modality (image+ text). The …
CyberBERT: BERT for cyberbullying identification: BERT for cyberbullying identification
Cyberbullying can be delineated as a purposive and recurrent act, which is aggressive in
nature, done via different social media platforms such as Facebook, Twitter, Instagram, and …
nature, done via different social media platforms such as Facebook, Twitter, Instagram, and …