#sad II. Social network Architectures of Disinformation II
Project responsable Pierre Vandergheynst
Team member Benjamin Ricaud
Nicolas Aspert
Vincent Carlino
Project partner Nathalie Pignard Cheynel
Abstract The goal of the project is to better understand the activity in social networks both from a research and from a journalistic perspective by developing an exploration tool of social networks. In addition to this main, application-oriented goal, the project will seek to answer more fundamental questions. We will measure the influence of particular users and communities within social networks, and how these entities proceed to gain influence and increase their audience. We will analyze the evolution over time of different topics to better understand the birth, life and death of news and discussions. We will investigate the relationships between the social network connections, the text of posts through lexicometry and language processing and the controversy of a theme. The complementary expertise in data science, social science and journalism of the project team will be crucial for this project where the technical and social complexity is challenging.
Keywords Social networks, graph signal processing, network analysis, dynamic activity over networks, fake news, natural language processing, lexicometry
Type of project Applied research project
Research area Journalism studies; Computer science; Lexicometry
Method of financing Intiative for Media Innovation
Status Ongoing
Start of project 1-2-2021
End of project 31-1-2022
Overall budget 137483,75
Contact Nathalie Pignard-Cheynel