Marcel Schliebs
Former DPhil Student
Profile
Marcel Schliebs graduated from the DPhil in Social Data Science in 2023 and from the MSc in Social Data Science in 2020.
Marcel’s research is at the intersection of political science, statistics and computer science. He is interested in developing data-driven methodology for studying elections, including forecasting and monitoring democratic integrity in cyber space.
Research
Past projects
-
Alternative News Networks – Understanding the spread and influence of disinformation, propaganda, and divisive political news content in the UK online information ecosystem
Participants: Dr Jonathan Bright, Professor Philip Howard, Dr Scott Hale, Hannah Bailey, Mona Elswah, Megha Mishra, Dr Vidya Narayanan, Marcel Schliebs, Christian Schwieter, Katarina Rebello, Ali Arsalan Pasha Siddiqui, Karolina Werens
This project seeks to understand the health of the UK online information ecosystem, including tracking the spread of divisive and misleading content.
Press
-
TikTok battles to stay ‘apolitical’ ahead of US election
22 October 2020 The Financial Times
TikTok, the short-video app known for hosting viral dance challenges and comedy skits, has said it aspires to be an “uplifting and welcoming app environment” for millions of young users.
-
How Democracy is Hacked
4 October 2020 Deutschlandfunk
Can algorithms, internet trolls and malware endanger democracy? In the social networks, false reports, half-truths and interpretations circulate across all borders.