Dynamics of Campaign Misinformation: A computational approach to measure stories, diffusion and attitudes

Description

This thesis explored the realm of campaign misinformation dynamics. Through a computational approach, the study delved into the measurement of misinformation stories, their diffusion patterns, and the corresponding shifts in public attitudes. The research harnessed past data and computational techniques to comprehensively analyze how misinformation spreads within political campaigns and its influence on public opinion. This study represented a significant contribution to the understanding of the intricate dynamics of misinformation during political campaigns.

Period	26 Oct 2022
Examinee	Kiran Arabaghatta Basavaraj
Examination held at	University of Exeter
Degree of Recognition	National