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Quentin’s research lies at the intersection of Computational Social Sciences, Complex Systems and Data Visualization. It focuses on the reconstruction of multi-level socio-technical dynamics from digital traces, with a particular emphasis on web archives mining and knowledge cartography. This interdisciplinary career as made Quentin as much a field researcher as a data analyst and a digital tool maker. He joins the team for a year.
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This article by Jérémie Poiroux, Nolwenn Maudet, Karl Pineau, Emeline Brulé and Aurélien Tabard has been published in the special issue on Machine Learning and the Work of the User of Computer Supported Cooperative Work (CSCW): The Journal of Collaborative Computing and Work Practices in May 2023. Here is the abstract:
Digital products and services now commonly include algorithmic personalization or recommendation features. This has raised concerns of reduced user agency and their unequal treatment. Previous research hence called for increasing the participation of, among others, designers in the development of these features. To achieve this, researchers have suggested the development of better educational material and tools to enable prototyping with data and machine learning models. However, previous studies also suggest designers may find other ways to impact the development and implementation of such features, for instance through collaboration with data scientists. We build on that line of inquiry, through 19 in-depth interviews with designers working in small to large international companies to investigate how they actually intervene in shaping products including algorithmic features. We outline how designers intervene at different levels of the algorithmic systems: at a technical level, for instance by providing better input data ; at an interface or information architecture level, sometimes circumventing algorithmic discussions; or at a organizational level, re-centering the outcome of algorithmic systems around product-centric questions. Building upon these results, we discuss how supporting designers engagement and influence on algorithmic systems may not only be a problem of technical literacy and adequate tooling. But that it may also involve a better awareness of the power of interface work, and a stronger negotiation skills and power literacy to engage in strategic discussions.
The publisher version of the paper is available here. You may find an open-access pre-print version on HAL.
Student normalienne at École Normale Supérieure de Lyon, Jeanne studied Mathematics (ENSL) and Cognitive Science (Cogmaster at ENS-PSL). During her three-month internship with Camille Roth, She will investigate the role of social structures on the shift of syntactic-semantic patterns on Wikipedia Discussion Pages.
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ERC Consolidator « socsemics », modeling of socio-semantic systems
We are opening one postdoctoral fellowship (2 years) in data visualization for computational social science in the context of the ERC Consolidator project « socsemics », led by Camille Roth. The appointee will further be associated with the UCLAB, a visualization research group at the University of Applied Sciences Potsdam. Co-directed by research professor Marian Dörk, the interdisciplinary team has backgrounds in interface design, computer science, and digital humanities. Applicants will be responsible for the design, implementation, and evaluation of novel data visualizations for scholarly use. The focus lies on the creation of new kinds instruments for the study of socio-semantic dynamics in online communities. Further information may be found in this document.
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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.
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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.
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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.
The team presentation is available either as a video or as a website, while the « Socsemics » ERC project has its own website
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.