Diffusion of Privacy of Social Network

EasyChair Preprint no. 12728

Abstract

In today’s social media landscape, the ease of sharing thoughts and information with friends and family comes with its challenges, particularly regarding the dissemination of sensitive or inappropriate content. Many social media platforms are plagued by the spread of offensive language and misinformation. To tackle this, we propose a social network system designed to detect privacy breaches based on three key features: the likelihood of message recipients, the tendency of users to forward messages, and user interest in the message. Our system implements a blocking mechanism that not only considers its impact on privacy and content spread but also aims to enhance user experiences by curbing inappropriate language and content. We are dedicated to identifying and addressing users who share such content. Our platform aims to foster an online environment where users can communicate and exchange ideas respectfully and responsibly, devoid of sensitive material or offensive language.

Keyphrases: Block mechanism, communication, Content proliferation, Exchange ideas, Offensive language False information, online environment, Privacy diffusion, probability, Respectful communication, Responsible sharing, sensitive content, social media platforms, user experiences

@Booklet{EasyChair:12728,
  author = {Sai Harsha Kanikanti and Manikanta Raju Ala and Krishna Kireeti Dabbakuti and Naga Datha Sai Yaswanth Kannedari and Kruti Sutaria},
  title = {Diffusion of Privacy of Social Network},
  howpublished = {EasyChair Preprint no. 12728},

  year = {EasyChair, 2024}}