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The pushshift reddit dataset
Social media data has become crucial to the advancement of scientific understanding.
However, even though it has become ubiquitous, just collecting large-scale social media …
However, even though it has become ubiquitous, just collecting large-scale social media …
Develo** an online hate classifier for multiple social media platforms
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 …
However, at the same time, this has resulted in the emergence of conflict and hate, making …
Detection of homophobia and transphobia in YouTube comments
Users of online platforms have negative effects on their mental health as a direct result of the
spread of abusive content across social media networks. Homophobia are terms that refer to …
spread of abusive content across social media networks. Homophobia are terms that refer to …
Toxicity and verbal aggression on social media: Polarized discourse on wearing face masks during the COVID-19 pandemic
Medical and public health professionals recommend wearing face masks to combat the
spread of the coronavirus disease of 2019 (COVID-19). While the majority of people in the …
spread of the coronavirus disease of 2019 (COVID-19). While the majority of people in the …
[HTML][HTML] Comparison of deep learning models and various text pre-processing techniques for the toxic comments classification
The emergence of anti-social behaviour in online environments presents a serious issue in
today's society. Automatic detection and identification of such behaviour are becoming …
today's society. Automatic detection and identification of such behaviour are becoming …
[HTML][HTML] How well do hate speech, toxicity, abusive and offensive language classification models generalize across datasets?
A considerable body of research deals with the automatic identification of hate speech and
related phenomena. However, cross-dataset model generalization remains a challenge. In …
related phenomena. However, cross-dataset model generalization remains a challenge. In …
The effect of toxicity on COVID-19 news network formation in political subcommunities on Reddit: An affiliation network approach
Political polarization remains perhaps the “greatest barrier” to effective COVID-19 pandemic
mitigation measures in the United States. Social media has been implicated in fueling this …
mitigation measures in the United States. Social media has been implicated in fueling this …
When the timeline meets the pipeline: A survey on automated cyberbullying detection
Web 2.0 helped user-generated platforms to spread widely. Unfortunately, it also allowed for
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
Traumatizing or just annoying? Unveiling the spectrum of gamer toxicity in the starcraft II community
The aim of this work is to explore the forms of toxic behaviour that players encounter in
competitive multiplayer real-time strategy (RTS) games. To this end, we carried out …
competitive multiplayer real-time strategy (RTS) games. To this end, we carried out …
A taxonomy of rater disagreements: Surveying challenges & opportunities from the perspective of annotating online toxicity
Toxicity is an increasingly common and severe issue in online spaces. Consequently, a rich
line of machine learning research over the past decade has focused on computationally …
line of machine learning research over the past decade has focused on computationally …