Titouan is a mathematics student specializing in statistics and machine learning. He joined the team for a 6-month internship and he will work under the supervision of Camille Roth within the socsemics ERC project on semantic hypergraphs with applications to debates on climate and energy policies.
ERC Consolidator “Socsemics”, modeling of socio-semantic systems
In addition to one three-year post-doctoral fellowship, the team now opens one new three-year doctoral fellowship in computer science for the development of graph-theoretic and dynamic models of the emergence and stability of socio-semantic clusters in online communities, or on breakthroughs in automated content analysis by aiming at going beyond classical distributional approaches to render the linguistic complexity of utterances in web corpuses. Further information may be found in this document.
This article by Dominique Cardon, Jean-Philippe Cointet and Antoine Mazières retraces the history of artificial intelligence through the lens of the tension between symbolic and connectionist approaches. From a social history of science and technology perspective, it seeks to highlight how researchers, relying on the availability of massive data and the multiplication of computing power have undertaken to reformulate the symbolic AI project by reviving the spirit of adaptive and inductive machines dating back from the era of cybernetics.
The full english version may be accessed here.
The CNRS CMB Computational Social Science Team based in Berlin is recruiting several doctoral students and post-doctoral researchers, to work under the ERC Consolidator grant “Socsemics”, focusing on internet echo chambers and polarization. These offers take place in an interdisciplinary context and touch a variety of domains: computational social science, political science, NLP, information visualization, sociology of the internet, social network analysis, complex network modeling, essentially.
Detailed job offers may be found here with a deadline for application set at Sept 30th, 2019.
Extensive information on the scientific content and context are available in the above-mentioned job offers – interested applicants may nonetheless feel free to contact Camille Roth (roth[@]cmb.hu-berlin.de) to discuss this further.
“Algorithmic Distortion of Informational Landscapes“, by Camille Roth, has just been published in Intellectica 70(1):97-118 –
This review paper focuses on biases induced by recommendation algorithms. It explores the state of the art along a double dichotomy: first regarding the discrepancy between users’ intentions and actions (1) under some algorithmic influence and (2) without it; second, by distinguishes algorithmic biases on (1) prior information rearrangement and (2) posterior information arrangement.
An open-access pre-print may be downloaded here.
We are pleased to introduce the blog and news section of the team’s website – starting today, it will feature various publication, event, and job offer announcements.