Directions in abusive language training data, a systematic review: Garbage in, garbage out

B Vidgen, L Derczynski - Plos one, 2020 - journals.plos.org
Data-driven and machine learning based approaches for detecting, categorising and
measuring abusive content such as hate speech and harassment have gained traction due …

Metaverse: Security and privacy issues

R Di Pietro, S Cresci - … conference on trust, privacy and security …, 2021 - ieeexplore.ieee.org
The metaverse promises a host of bright opportunities for business, economics, and society.
Though, a number of critical aspects are still to be considered and the analysis of their …

[PDF][PDF] " go eat a bat, chang!": An early look on the emergence of sinophobic behavior on web communities in the face of covid-19

L Schild, C Ling, J Blackburn, G Stringhini… - arXiv preprint arXiv …, 2020 - pure.mpg.de
The outbreak of the COVID-19 pandemic has changed our lives in unprecedented ways. In
the face of the projected catastrophic consequences, many countries have enacted social …

Improving cyberbullying detection using Twitter users' psychological features and machine learning

V Balakrishnan, S Khan, HR Arabnia - Computers & Security, 2020 - Elsevier
Empirical evidences linking users' psychological features such as personality traits and
cybercrimes such as cyberbullying are many. This study deals with automatic cyberbullying …

Sok: Hate, harassment, and the changing landscape of online abuse

K Thomas, D Akhawe, M Bailey… - … IEEE Symposium on …, 2021 - ieeexplore.ieee.org
We argue that existing security, privacy, and antiabuse protections fail to address the
growing threat of online hate and harassment. In order for our community to understand and …

Developing an online hate classifier for multiple social media platforms

J Salminen, M Hopf, SA Chowdhury, S Jung… - … -centric Computing and …, 2020 - Springer
The proliferation of social media enables people to express their opinions widely online.
However, at the same time, this has resulted in the emergence of conflict and hate, making …

Mean birds: Detecting aggression and bullying on twitter

D Chatzakou, N Kourtellis, J Blackburn… - Proceedings of the …, 2017 - dl.acm.org
In recent years, bullying and aggression against social media users have grown
significantly, causing serious consequences to victims of all demographics. Nowadays …

Safe spaces and safe places: Unpacking technology-mediated experiences of safety and harm with transgender people

MK Scheuerman, SM Branham, F Hamidi - Proceedings of the ACM on …, 2018 - dl.acm.org
Transgender individuals in the United States face significant threats to interpersonal safety;
however, there has as yet been relatively little research in the HCI and CSCW communities …

A framework of severity for harmful content online

MK Scheuerman, JA Jiang, C Fiesler… - Proceedings of the ACM …, 2021 - dl.acm.org
The proliferation of harmful content on online social media platforms has necessitated
empirical understandings of experiences of harm online and the development of practices …

Conversations gone awry: Detecting early signs of conversational failure

J Zhang, JP Chang, C Danescu-Niculescu-Mizil… - arXiv preprint arXiv …, 2018 - arxiv.org
One of the main challenges online social systems face is the prevalence of antisocial
behavior, such as harassment and personal attacks. In this work, we introduce the task of …