Predicting information flow and survival of malicious posts around covid -19

Paige Lowe


Supervised by Amir Javed; Moderated by Parisa Eslambolchilar

In this Project, we will take the case of the covid-19 and another popular event on Online social platform and built models to predict information flow size and survival using data derived from the popular social networking site Twitter. The main aim in this project would be to see what factors (content based such as emotions, sentiment, etc and account based such as number of followers, friends, age of account) aid in propagation and survival of information.

Initial Plan (07/02/2021) [Zip Archive]

Final Report (28/05/2021) [Zip Archive]

Publication Form