Rumour source identification from social network

Project Code :TCMAPY1301

Objective

This study proposes a novel method for tracing the origins of rumours within social networks. By combining advanced machine learning techniques with network analysis, the approach aims to enhance the accuracy of identifying the sources of misinformation.

Abstract

In the realm of online information propagation, the rapid spread of rumors and false claims poses significant challenges to both individuals and society at large. This study presents an innovative approach for Rumor Source Identification from Social Networks. Leveraging advanced data analytics and network analysis techniques, we aim to accurately identify the original source of rumors, shedding light on the origins of misinformation. By examining the patterns and dynamics of information dissemination within social networks, our research contributes to the development of robust tools for early detection and mitigation of false information, ultimately bolstering the credibility and trustworthiness of online information sources.

Keywords: ML evaluation, ML techniques, etc.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.