Machine Learning for Women’s Safety Based on Analysis of Tweets

Machine Learning for Women's Safety Based on Analysis of Tweets

1. Divi Yoshita, 2. Palagani Nikhilesh, 3. Kotapati Sarath Kumar,

4. Mr.Ch. Kiran Babu (Assistant Professor).

Information and Technology, NRI Institute of Technology, Vijayawada

Abstract:

This research paper extensively examines the multifaceted role played by social media platforms, specifically Twitter, Facebook, and Instagram, in advocating for the safety and security of women within Indian cities. It delves into the intricate ways in which these digital platforms are leveraged to amplify voices, share narratives, and mobilize collective action against the prevalent issue of violence and harassment faced by women and girls in public spaces. Through the dissemination of hashtags, campaigns, and personal anecdotes, social media serves as a powerful tool for raising awareness, fostering dialogue, and catalyzing societal change.

Moreover, the paper investigates the profound impact of social media in nurturing a culture of responsibility and accountability within Indian society towards the safety and protection of women. By providing a platform for individuals to share their experiences, express concerns, and advocate for policy reforms, social media facilitates meaningful engagement and empowers communities to address systemic challenges. Through online activism, advocacy campaigns, and community initiatives, social media platforms enable individuals to connect, collaborate and collectively work toward creating safer and more inclusive urban environments for women and girls.