The Desi diaspora is a significant and growing demographic on social media platforms, with Twitter being a popular platform for online engagement. Desi culture, encompassing the cultural practices, traditions, and values of South Asian countries such as India, Pakistan, Bangladesh, and Sri Lanka, is increasingly being represented on Twitter. Artificial Intelligence (AI) has also become a ubiquitous presence on social media platforms, with many AI-powered technologies being used to create, curate, and disseminate content.
However, there is a dearth of research on the intersection of Desi culture and AI on Twitter. This paper seeks to address this gap, examining the ways in which AI-powered technologies are being used to create, disseminate, and engage with Desi content on the platform. desi ai twitter
The intersection of Desi culture and AI on Twitter presents a fascinating area of study, with implications for our understanding of online cultural identity, digital media, and AI-driven communication. This paper seeks to explore this intersection, examining the ways in which AI-powered technologies are being used to create, disseminate, and engage with Desi content on Twitter. The Desi diaspora is a significant and growing
This study provides a critical analysis of the intersection of Desi culture and AI on Twitter, examining the ways in which AI-powered technologies are being used to create, disseminate, and engage with Desi content on the platform. The findings of this study have significant implications for our understanding of online cultural identity, digital media, and AI-driven communication. However, there is a dearth of research on
Das, S. (2018). Social media and Desi identity: A study of online cultural expression. Journal of Cultural Studies, 32(1), 1-15.
The literature on AI and social media has also grown significantly in recent years, with studies examining the use of AI-powered technologies for content creation, curation, and dissemination (Gunning, 2017; Wu, 2020). AI-powered chatbots, for example, are being used to engage with users and provide personalized content recommendations (Kim, 2018).