Automatic cyberbullying detection: A systematic review

H Rosa, N Pereira, R Ribeiro, PC Ferreira… - Computers in Human …, 2019 - Elsevier
Automatic cyberbullying detection is a task of growing interest, particularly in the Natural
Language Processing and Machine Learning communities. Not only is it challenging, but it …

Predicting cyberbullying on social media in the big data era using machine learning algorithms: review of literature and open challenges

MA Al-Garadi, MR Hussain, N Khan, G Murtaza… - IEEE …, 2019 - ieeexplore.ieee.org
Prior to the innovation of information communication technologies (ICT), social interactions
evolved within small cultural boundaries such as geo spatial locations. The recent …

Social chemistry 101: Learning to reason about social and moral norms

M Forbes, JD Hwang, V Shwartz, M Sap… - arxiv preprint arxiv …, 2020 - arxiv.org
Social norms--the unspoken commonsense rules about acceptable social behavior--are
crucial in understanding the underlying causes and intents of people's actions in narratives …

Benchmarking aggression identification in social media

R Kumar, AK Ojha, S Malmasi… - Proceedings of the first …, 2018 - aclanthology.org
In this paper, we present the report and findings of the Shared Task on Aggression
Identification organised as part of the First Workshop on Trolling, Aggression and …

A survey on hate speech detection using natural language processing

A Schmidt, M Wiegand - … of the fifth international workshop on …, 2017 - aclanthology.org
This paper presents a survey on hate speech detection. Given the steadily growing body of
social media content, the amount of online hate speech is also increasing. Due to the …

A comparative analysis of machine learning techniques for cyberbullying detection on twitter

A Muneer, SM Fati - Future Internet, 2020 - mdpi.com
The advent of social media, particularly Twitter, raises many issues due to a
misunderstanding regarding the concept of freedom of speech. One of these issues is …

Understanding abuse: A typology of abusive language detection subtasks

Z Waseem, T Davidson, D Warmsley… - arxiv preprint arxiv …, 2017 - arxiv.org
As the body of research on abusive language detection and analysis grows, there is a need
for critical consideration of the relationships between different subtasks that have been …

Automatic detection of cyberbullying in social media text

C Van Hee, G Jacobs, C Emmery, B Desmet, E Lefever… - PloS one, 2018 - journals.plos.org
While social media offer great communication opportunities, they also increase the
vulnerability of young people to threatening situations online. Recent studies report that …

Harnessing artificial intelligence capabilities to improve cybersecurity

S Zeadally, E Adi, Z Baig, IA Khan - Ieee Access, 2020 - ieeexplore.ieee.org
Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as
the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of …

Hate lingo: A target-based linguistic analysis of hate speech in social media

M ElSherief, V Kulkarni, D Nguyen, WY Wang… - Proceedings of the …, 2018 - ojs.aaai.org
While social media empowers freedom of expression and individual voices, it also enables
anti-social behavior, online harassment, cyberbullying, and hate speech. In this paper, we …