Affiliation:
1. INESC TEC
2. INESC TEC and Faculty of Engineering, University of Porto, Portugal
Abstract
The scientific study of hate speech, from a computer science point of view, is recent. This survey organizes and describes the current state of the field, providing a structured overview of previous approaches, including core algorithms, methods, and main features used. This work also discusses the complexity of the concept of hate speech, defined in many platforms and contexts, and provides a unifying definition. This area has an unquestionable potential for societal impact, particularly in online communities and digital media platforms. The development and systematization of shared resources, such as guidelines, annotated datasets in multiple languages, and algorithms, is a crucial step in advancing the automatic detection of hate speech.
Funder
FourEyes, a research line within project TEC4Growth—Pervasive Intelligence
North Portugal Regional Operational Programme
European Regional Development Fund
Enhancers and Proofs of Concept with Industrial
PORTUGAL 2020 Partnership Agreement
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
Reference80 articles.
1. Using KNN and SVM Based One-Class Classifier for Detecting Online Radicalization on Twitter
2. Deep Learning for Hate Speech Detection in Tweets
3. Tanvi Banerjee Amir H. Yazdavar Andrew Hampton Hemant Purohit Valerie L. Shalin and Amit P. Sheth. Identifying pragmatic functions in social media indicative of gender-based violence beliefs. Manuscript Submitted for Publication. Tanvi Banerjee Amir H. Yazdavar Andrew Hampton Hemant Purohit Valerie L. Shalin and Amit P. Sheth. Identifying pragmatic functions in social media indicative of gender-based violence beliefs. Manuscript Submitted for Publication.
Cited by
490 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献