Affiliation:
1. Amity University, Noida, India
2. Indian Institute of Information Technology, Allahabad, India
Abstract
The rapid growth of technology and its reach to the masses has invited a new challenge to society: ‘inflammatory content'. The enormous use of technology has its demerits. After the pandemic, when everyone became highly dependent on technology, the expression of thought and the barrier of free will brought the issue of sanctity in the content mostly available on social media pages. In Indian cyberspace which has a strong base of democratic freedom, the society is multicultural and multilingual, where the ethos of one society may be taboo of another society poses a new and unique challenge of hate speech. This chapter reviews hate speech specially communicated through mainstream social media. This chapter extends to determine different categories of hate speech and its identification methodologies reported in different studies. Analysis of hate speech has been done thoroughly from a recognition point of view while comparing its methodological relevance to the same content in other countries.
Reference75 articles.
1. Akshita, J., & Radhika, M. (2017). When does a compliment become sexist? Analysis and classification of ambivalent sexism using Twitter data. In Proceedings of the Second Workshop on NLP and Computational Social Science. Association for Computational Linguistics.
2. DETECTION OF HATE SPEECH IN SOCIAL NETWORKS: A SURVEY ON MULTILINGUAL CORPUS
3. Social Engineering Defense Mechanisms: A Taxonomy and a Survey of Employees’ Awareness Level
4. Allan, R. (2017, June 27). Hard Questions: Hate Speech. Facebook Newsroom.
5. The COVID‐19–Social Identity–Digital Media Nexus in India: Polarization and Blame