Social media, online speech, misinformation, fact-checking, online content moderation, patterns and determinants of migration, survey methodology
Email: matmje@prio.org
Social media, online speech, misinformation, fact-checking, online content moderation, patterns and determinants of migration, survey methodology
Doctoral researcher at PRIO, focusing on the impact of online misinformation on attitudes, and the use of fact-checking and online content moderation as correctives to misinformation.
I have previously worked as research assistant at PRIO on two migration-related projects: QuantMig and FUMI. My work on these projects focused particularly on determinants and drivers of migration and migration aspirations through the use of survey data and systematic literature reviews.
In 2020, I submitted my master's thesis in political science, titled "Rainfall variability and violent, state-based conflict: A machine learning approach to estimate context specificity".
Journal article in Open Research Europe
QuantMig Background Paper
PRIO Policy Brief
QuantMig project deliverable
QuantMig deliverable
Master thesis
Scientists who study migration often use surveys about people's aspirations, desires, or plans to migrate. New work by PRIO researchers shows that these valuable data are unevenly distributed, often inaccessible, and poorly documented when they are used.
Over the past few decades, thousands of people have responded to survey questions about their thoughts and feelings about possibly migrating.
Thousands of people have responded to surveys with questions about their wishes or plans for migration and researchers have analyzed the data to identify the drivers.
This week Mathilde Bålsrud Mjelva defended her thesis "Rainfall variability and violent, state-based conflict: A machine learning approach to estimate context specificity", and achieved top marks.