Prof. Dr. Camille Roth | Researcher
Full Tenured Researcher at CNRS
Camille Roth has been holding a research professorship at CNRS since 2008 (“chercheur CNRS” i.e., tenured without teaching duties) in computer science while he also had a couple of tenured university positions in sociology, at Sciences Po as Associate Professor (“professeur”, 2016-18) and in Toulouse as Assistant Professor (“maître de conférences”, 2007-08). His research thus lies at the interface between social and computational sciences, featuring keywords such as socio-semantic systems, social cognition, algorithms and mathematical sociology.
He founded in 2012 and currently leads the computational social science team at Centre Marc Bloch in Berlin (CNRS/Humboldt) and currently supervises a team of several doctoral and post-doctoral researchers. He is currently the recipient of an ERC Consolidator grant called Socsemics on socio-semantic networks and over the past decade has been global or local PI for several multi-institution research projects, both at the French and European level, on blog networks, scientific communities, and peer-to-peer platforms, including Webfluence, Algopol and Algodiv (on informational dynamics of the digital public space) and QLectives (EU IP on quality collectives in socio-technical communities). He has authored more than 60 peer-reviewed publications. He is also associate member of CAMS (Centre d'Analyse et de Mathématique Sociales, CNRS-EHESS).
Social networks, socio-semantic networks, digital public space, knowledge diffusion, epistemic communities, social cognition, online communities (blogs, wikis, forums, etc.), social science naturalization.
Network dynamics, graph theory, pattern recognition, hypergraphs, complex system modeling, random graphs.
Co-responsible for the "Digital Humanities / Computational Social Sciences" team at Centre Marc Bloch.
- Global PI of the ANR grant Webfluence on digital public space (2008-2010) with Orange Labs, LIP6 and Linkfluence.
- Global PI of the ANR grant AlgoPol (Politique des Algorithmes), 2012-15, "Contents and Interactions" program (other partners: Orange Labs, CAMS, LIAFA, Linkfluence)
- PI at CNRS of the European project QLectives (FP 7 - EU ICT) on quality collectives, 2009-2013 (main PI: Nigel Gilbert, U. Surrey, UK).
- PI at CNRS of the ANR grant SIMPA (2009-2012), on kinship networks (main PI: F. Héran, INED, other partner: CEMAf).
Fragmentation et polarisation dans les espaces publics numériques francophones, germanophones et anglophones: discours et interactions. Adossé à l'ERC SocSemics – Socio-Semantic Bubbles of Internet Communities
Son programme de recherche est centré autour de l'étude des systèmes complexes sociaux (épidémiologie culturelle, morphogenèse de réseaux), de l’espace public numérique et du rôle des algorithmes, de l’analyse de corpus textuels, des phénomènes de cognition sociale, notamment la coévolution entre forme des interactions et distribution des informations. Son équipe se penche présentement plus précisément sur les phénomènes de confinement (interactionnel, informationnel) dans les espaces en ligne ainsi que le rôle que les algorithmes y jouent.
(ANR) algodiv : Information Diversity and Algorithmic Recommendation
(ANR) RECORDS : pRatiques dEs publiCs des platefORmes De Streaming musical
(ERC) Socsemics - Socio-Semantic Bubbles of Internet Communities
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 bottlenecks 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.
In practice, SOCSEMICS will address three current challenges:
- (i) developing a comprehensive theory of reinforcing and self-sustaining socio-semantic communities by appraising the social, semantic and socio-semantic realms simultaneously;
- (ii) drastically improving content analysis by replacing classical distributional approaches with clause analysis, thus enabling quantitative approaches rendering the linguistic complexity of utterances in web corpuses;
- (iii) fostering the interface between these methods and qualitative approaches, especially through a couple of broad case studies
- (iv) developing interactive platforms implementing the above innovations and facilitating digital social research.