Content Analysis Of Misogynistic Tweets Targeting Indian Women Celebrities
Description
This paper aims to investigate the misogynistic comments made by the trollers on the twitter profiles of select Indian women celebrities. In the present context of the study, content analysis method is used to identify the misogynistic comments directed towards the twitter accounts of Indian women celebrities. ‘Zipf’s Law’ is used for identifying the misogynistic words in user tweets. Academic Research Mozdeh software version 5.1.2.0.0 was used to collect and analyze the required data. The present study is restricted to the Indian women celebrities included in Forbes ‘2019 Celebrity 100’ list. The results of a study revealed hot, pretty, fake, bad, sexy, forward, lost, hate, funny, and black as frequently occurred misogynistic words in the user tweets.
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