HOPE - How Democracies Cope with Covid19: A Data-Driven Approach
The UCPH team of the HOPE project focuses on the impact of misinformation seen via social media on behavior during the coronavirus pandemic both online and offline. Currently, our research analyses the conversation about misinformation in Denmark. For more on the HOPE project see https://hope-project.dk/
Responding to the coronavirus pandemic, the Carlsberg Foundation has granted DKK 25 million to HOPE to examine the interrelationship between:
- the COVID-19 trajectory
- the decisions of governments and international organizations
- changing media landscapes
- citizens’ behavior and well-being
With a unique access to all Facebook content from The Danish Health Authority, this project aims to analyze, in the particular case of facemasks, how citizens react and interact with communication and information during the COVID-19.
This project aims to examine the conversation about misinformation on Twitter during COVID-19. We are examining how much of the conversation spreads and combats misinformation.
We propose a new and nuanced method for identifying misinformation. We argue previous methods, which focus on unreliable sources, overestimate the amount of misinformation seen publically online.
With complex contagion models, we compare the diffusion of information and misinformation. We analyse the influence of intermediary sharers in the growth of misinformation cascades.
Using unique access to deleted danish tweets during the corona crises, this research project seeks to uncover the black box of deleted posts - what is deleted and why?
|Search in Name||Search in Title||Search in Phone|
|Fie Madvig Larsen||Student Assistant|
|Ida Kirstine Wåhlin Thyboe||Student|
|Naja Algreen Suhr||Student FU|
|Nicklas Johansen||PhD Fellow||+4535335269|
|Sara Vera Marjanovic||Student FU|
HOPE has received a three year funding from the Carlsberg Foundation
Project: How Democracies Cope with COVID19 - A Data-Driven Approach
Project period: 2020-2023
The HOPE project is a collaboration between Aarhus School of Business and Social Sciences, the Technical University of Denmark (DTU) and Copenhagen Center for Social Data Science (SODAS)