Thirty-First International Conference on Learning

Abstract

Language plays a key role in establishing and showcasing our gender to the society. The language used on the Digital Media for women and by women is quite distinct. This stereotypical language use goes beyond and affects the recipient’s cognition and behaviour that percolates further into the belief system and seriously cause big problems where women become the discriminated gender. Digital media has greatly impacted and amplified the gender divide. The objectives of this Digital Humanities research are two-pronged i) to explore and identify the gender-based language biases in digital media especially in India and ii) to analyse language used in digital media for different genders using data analysis tools also in the Indian context. The study used twitter to collect and analyse the data by web scrapping and analysed it using AI. The research clearly establishes the biased use of language for women on Twitter. The impact of the research is multidimensional. The social impact of the research is in the form of findings which are used to create awareness in the society of the differences and the biases present in the language and further use the findings for futuristic research. Also, to create awareness on how to avoid these biases. The psychological impact is to understand the impact of the gendered language and the biases and how it affects the psychology of people and creates stereotypes.