[HTML][HTML] A survey on hate speech detection and sentiment analysis using machine learning and deep learning models
In today's digital era, the rise of hate speech has emerged as a critical concern, driven by the
rapid information-sharing capabilities of social media platforms and online communities. As …
rapid information-sharing capabilities of social media platforms and online communities. As …
Data representativity for machine learning and AI systems
LH Clemmensen, RD Kjærsgaard - arxiv preprint arxiv:2203.04706, 2022 - arxiv.org
Data representativity is crucial when drawing inference from data through machine learning
models. Scholars have increased focus on unraveling the bias and fairness in models, also …
models. Scholars have increased focus on unraveling the bias and fairness in models, also …
SOLD: Sinhala offensive language dataset
The widespread of offensive content online, such as hate speech and cyber-bullying, is a
global phenomenon. This has sparked interest in the artificial intelligence (AI) and natural …
global phenomenon. This has sparked interest in the artificial intelligence (AI) and natural …
Eyes don't lie: Subjective hate annotation and detection with gaze
Hate speech is a complex and subjective phenomenon. In this paper, we present a dataset
(GAZE4HATE) that provides gaze data collected in a hate speech annotation experiment …
(GAZE4HATE) that provides gaze data collected in a hate speech annotation experiment …
Improving Adversarial Data Collection by Supporting Annotators: Lessons from GAHD, a German Hate Speech Dataset
Hate speech detection models are only as good as the data they are trained on. Datasets
sourced from social media suffer from systematic gaps and biases, leading to unreliable …
sourced from social media suffer from systematic gaps and biases, leading to unreliable …
STAND-Guard: A Small Task-Adaptive Content Moderation Model
Content moderation, the process of reviewing and monitoring the safety of generated
content, is important for development of welcoming online platforms and responsible large …
content, is important for development of welcoming online platforms and responsible large …
Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management
Despite regulations imposed by nations and social media platforms, such as recent EU
regulations targeting digital violence, abusive content persists as a significant challenge …
regulations targeting digital violence, abusive content persists as a significant challenge …
Towards an Organically Growing Hate Speech Dataset in Hate Speech Detection Systems in a Smart Mobility Application
A Alsamman, A Schmitz, MA Wimmer - Proceedings of the 24th Annual …, 2023 - dl.acm.org
The automatic detection of hate speech online poses several challenges. A top challenge is
that hate speech changes its targets and its format periodically. While the lack of available …
that hate speech changes its targets and its format periodically. While the lack of available …
GMHP7k: A Corpus of German Misogynistic Hatespeech Posts
J Glasebach, ME Keller, A Döschl… - Proceedings of the …, 2024 - ojs.aaai.org
We provide a german corpus consisting of 7,061 posts authored by users of social media
platforms. A group of volunteers annotated each post according to hatespeech and …
platforms. A group of volunteers annotated each post according to hatespeech and …
HOCON34k: A Corpus of Hate Speech in Online Comments from German Newspapers
We present a dataset of 34,223 comments in German, authored by users of online platforms
associated with public discourse in German newspapers. Each comment was annotated for …
associated with public discourse in German newspapers. Each comment was annotated for …