Hatexplain: A benchmark dataset for explainable hate speech detection
Hate speech is a challenging issue plaguing the online social media. While better models
for hate speech detection are continuously being developed, there is little research on the …
for hate speech detection are continuously being developed, there is little research on the …
Can large language models transform computational social science?
Large language models (LLMs) are capable of successfully performing many language
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
processing tasks zero-shot (without training data). If zero-shot LLMs can also reliably classify …
Do platform migrations compromise content moderation? evidence from r/the_donald and r/incels
When toxic online communities on mainstream platforms face moderation measures, such
as bans, they may migrate to other platforms with laxer policies or set up their own dedicated …
as bans, they may migrate to other platforms with laxer policies or set up their own dedicated …
Profiling hate speech spreaders on twitter task at PAN 2021
F Rangel, GL Peña-Sarracén… - Proceedings of the …, 2021 - riunet.upv.es
[EN] This overview presents the Author Profiling shared task at PAN 2021. The focus of this
year¿ s task is on determining whether or not the author of a Twitter feed is keen to spread …
year¿ s task is on determining whether or not the author of a Twitter feed is keen to spread …
Deep learning models for multilingual hate speech detection
Hate speech detection is a challenging problem with most of the datasets available in only
one language: English. In this paper, we conduct a large scale analysis of multilingual hate …
one language: English. In this paper, we conduct a large scale analysis of multilingual hate …
Dynamics of online hate and misinformation
Online debates are often characterised by extreme polarisation and heated discussions
among users. The presence of hate speech online is becoming increasingly problematic …
among users. The presence of hate speech online is becoming increasingly problematic …
On the rise of fear speech in online social media
P Saha, K Garimella, NK Kalyan… - Proceedings of the …, 2023 - National Acad Sciences
Recently, social media platforms are heavily moderated to prevent the spread of online hate
speech, which is usually fertile in toxic words and is directed toward an individual or a …
speech, which is usually fertile in toxic words and is directed toward an individual or a …
Overview of PAN 2021: authorship verification, profiling hate speech spreaders on twitter, and style change detection
J Bevendorff, B Chulvi… - Experimental IR Meets …, 2021 - Springer
The paper gives a brief overview of the three shared tasks organized at the PAN 2021 lab on
digital text forensics and stylometry hosted at the CLEF conference. The tasks include …
digital text forensics and stylometry hosted at the CLEF conference. The tasks include …
Sensemaking, support, safety, retribution, transformation: A restorative justice approach to understanding adolescents' needs for addressing online harm
Online harm is a prevalent issue in adolescents' online lives. Restorative justice teaches us
to focus on those who have been harmed, ask what their needs are, and engage in the …
to focus on those who have been harmed, ask what their needs are, and engage in the …
“Short is the Road that Leads from Fear to Hate”: Fear Speech in Indian WhatsApp Groups
WhatsApp is the most popular messaging app in the world. Due to its popularity, WhatsApp
has become a powerful and cheap tool for political campaigning being widely used during …
has become a powerful and cheap tool for political campaigning being widely used during …