ABOUT THE PROJECT
More precisely, socsemics aims at addressing a series of fundamental questions pertaining to the existence, structure and dynamics of such bubbles in digital public spaces: how to define and appraise them empirically, how do they form and emerge, which types of topics, claims and actors are mobilized in which of them, which bridges or bottle-necks may interconnect them and, at a higher level, what is the meta-structure of bubbles and what kind of qual-quantitative studies may result from this new type of approach.
socsemics will address several current challenges:
- developing a comprehensive theory of reinforcing and self-sustaining socio-semantic communities by appraising the social, semantic and socio-semantic realms simultaneously;
- drastically improving content analysis by replacing classical distributional approach with clause analysis, thus enabling quantitative approaches rendering the linguistic complexity of utterances in web corpuses;
- fostering the interface between these methods and qualitative approaches, especially through a couple of broad case studies;
interactive platforms implementing the above innovations and facilitating digital social research.
WHO WE ARE
The project has officially started being hosted at CNRS and Centre Marc Bloch in Berlin recently in 2019. At the moment, the members of the larger Computational Social Science team who are involved in socsemics include:
Camille roth
FACULTY, CNRS
Camille is a tenured full research scientist at CNRS in computer science. Over the last decade, he also hold tenured professorships in sociology (Sciences Po Paris, U. Toulouse).
Telmo Menezes
POST-DOC, CENTRE MARC BLOCH
Telmo is specialized in Artificial Intelligence and its applications to the Social Sciences. His research is currently focused on representations of knowledge for claim and belief propagation analysis.
Antoine Mazières
POST-DOC, CENTRE MARC BLOCH
Antoine has a mixed background of social sciences, computer science and statistics. His most recent published works were on history of artificial intelligence and the use of machine learning in discrimination studies.
Katharina Tittel
MASTER STUDENT, SCIENCES PO
Katharina interns at the CMB and is a master student at Sciences Po Paris, with a concentration in Europe and Methods.
Jonas Stein
MASTER STUDENT, UTRECHT UNIVERSITY
Jonas studies Sociology and Social Research with a focus on agent-based simulation and social network analysis. For his internship, he analyzes user confinement in Twitter networks.
The Centre Marc Bloch in Berlin
JOIN THE TEAM
We are currently finalizing the selection for the 2019 recruitment wave. A new recruitment wave will occur around summer 2020, principally in NLP and InfoViz.
We also propose research internships for various levels and durations. Please refer to the open positions on the dedicated page of the team main website:
