Measuring and mitigating language model biases in abusive language detection
Warning: This paper contains abusive samples that may cause discomfort to readers.
Abusive language on social media reinforces prejudice against an individual or a specific …
Abusive language on social media reinforces prejudice against an individual or a specific …
FALCoN: Detecting and classifying abusive language in social networks using context features and unlabeled data
S Tuarob, M Satravisut, P Sangtunchai… - Information Processing …, 2023 - Elsevier
Social networks have grown into a widespread form of communication that allows a large
number of users to participate in conversations and consume information at any time. The …
number of users to participate in conversations and consume information at any time. The …
HA-GCEN: Hyperedge-abundant graph convolutional enhanced network for hate speech detection
Y Mu, J Yang, T Li, S Li, W Liang - Knowledge-Based Systems, 2024 - Elsevier
The proliferation of online social networks (OSNs) has led to the rampant spread of hate
speech. However, traditional detection methods often struggle to effectively detect various …
speech. However, traditional detection methods often struggle to effectively detect various …
Harnessing graph convolutional neural networks for identification of glassy states in metallic glasses
EJ Gurniak, S Yuan, X Ren, PS Branicio - Computational Materials Science, 2024 - Elsevier
Abstract Graph Convolutional Neural Networks (GCNNs) have emerged as powerful tools
for analyzing materials. In this study, we employ GCNNs to examine structural characteristics …
for analyzing materials. In this study, we employ GCNNs to examine structural characteristics …
Towards understanding the role of content-based and contextualized features in detecting abuse on Twitter
This paper presents a novel approach for detecting abuse on Twitter. Abusive posts have
become a major problem for social media platforms like Twitter. It is important to identify …
become a major problem for social media platforms like Twitter. It is important to identify …
Improving Cancer Hallmark Classification with BERT-based Deep Learning Approach
S Zavrak, S Yilmaz - arXiv preprint arXiv:2305.03501, 2023 - arxiv.org
This paper presents a novel approach to accurately classify the hallmarks of cancer, which is
a crucial task in cancer research. Our proposed method utilizes the Bidirectional Encoder …
a crucial task in cancer research. Our proposed method utilizes the Bidirectional Encoder …
Regac: Multi-Class Offensive Content Identification Using Graphical Approach
Exhibiting online offensive behaviour persists to increase with the increase in popularity and
use of social media. Varied techniques have been used to address this issue; nevertheless …
use of social media. Varied techniques have been used to address this issue; nevertheless …