The “CSS" team gathers an interdisciplinary group of researchers at @CentreMarcBloch at the interface between social sciences and computational sciences.
Berlin
Joined August 2019
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Computational social science team at CMB retweeted
New paper out (with @camcam) 🥳
Want to understand how your network's metadata relate to its block structure? Check out our 'metablox' tool! @CommsPhys
"Quantifying metadata relevance to network block structure using description length" 🧵(1/5)
nature.com/articles/s42005-0…
Computational social science team at CMB retweeted
Join us Apr 19 @ 4pm CET for a @CIVICA_Research webinar with Pablo Barbera @p_barbera (Meta & USC): the new Meta framework for research collaborations and experiments measuring social media impact on elections.
Link below!
socialdatascience.network/sp…
Computational social science team at CMB retweeted
You can now submit abstracts for #EUSN2023 in Ljubljana, September 4-8.
@camcam, Nikita Basov, and I are organizing a session on "Networks, Culture, Interaction". If you're interested in joining us, submit your abstract in the submission system and indicate so in the comment.
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Computational social science team at CMB retweeted
📣 New publication out today 📣
SODAS PhD Fellow @marilenahohmann has authored a paper, that develops a state-of-the-art network measure on polarization, together with Karel Devriendt and @mikk_c. @ITUkbh and @OxUniMaths + @turinginst
Link: science.org/doi/10.1126/scia…
Computational social science team at CMB retweeted
I was happy to present the work "the manufacture of recommendation algorithms" written with @camcam at ICOS conference (icos2022.com/) in Trondheim, Norway! Thank you for the questions and comments :)
Computational social science team at CMB retweeted
Merci beaucoup à Samuel Gantier pour l'invitation au séminaire du GDR Internet, IA et Société du @cis_cnrs ! Avec @camcam nous avons eu de riches échanges avec les participant·es autour de notre article "L'écriture guidée du code" accessible ici : journals.openedition.org/res…
Computational social science team at CMB retweeted
It was a pleasure to attend the conference today and to present the work "evolutionary construction of recommender systems" written with @camcam !
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Computational social science team at CMB retweeted
Deuxième épisode de notre Science Slam avec la vidéo de Myriam Boualami. Sa présentation en 10 minutes sur "La diffusion spatiale de la musique numérisée". Avec @SorbonneParis1 et @css_cmb. #scienceslam. youtu.be/oH7lxEGkdPY via @YouTube
Computational social science team at CMB retweeted
PhD students: Want to work with @marylgray @nancybaym @TarletonG and me at @MSFTResearch on sociotechnical projects? We are hiring both interns and postdocs. For more info, see: socialmediacollective.org/
Computational social science team at CMB retweeted
[📝] « Codes et algorithmes au prisme des sciences sociales : comment l’informatique s’écrit ? »
🔍Un nouvel article a été publié sur notre #LaboSoNum, retrouvez-le ici ⤵
labo.societenumerique.gouv.f…
Computational social science team at CMB retweeted
J'ai le plaisir de contribuer au dictionnaire en ligne des Publics avec une notice sur la "recommandation culturelle algorithmique", ou comment la diversité des modes recommandations essaie de répondre à la diversité des publics !
[#PUBLICTIONNAIRE 🪶] "Recommandation culturelle algorithmique"
Une nouvelle notice signée Jérémie Poiroux (@EHESS_fr, @CNRS, @css_cmb, @CentreMarcBloch) est disponible !
Bonne lecture ! 👓👇
publictionnaire.huma-num.fr/…
#public #algorithmes #culture
Computational social science team at CMB retweeted
Looking for a PhD and currently a student in a UK institution? Projects available on different aspects of computational social science, network science, token economy, web3, etc. Let's talk :)
Computational social science team at CMB retweeted
How do recommender systems like #YouTube or #Netflix decide which videos to suggest to us? @dataskop_net developed a platform simulator to experiment with different user settings and understand the basics of recommendation #algorithms.
Learn more ➡️ algorithmwatch.org/en/datask…
Computational social science team at CMB retweeted
Interesting findings on algorithmic recommendations with data from Deezer: There are different user types, not all rely much on algo. recommendations. And those who DO: listen to greater variety, and less to songs that are played in French radio. #adm #AI #sociology @css_cmb
#CNRSleJournal 📰 | Quel est l’impact des recommandations algorithmiques sur la diversité de la musique écoutée en streaming ? Grâce à l’ouverture de certaines données par Deezer, les chercheurs du projet Records ont pu dresser un premier tableau nuancé... bit.ly/3ntm6wE
Computational social science team at CMB retweeted
🔒Les données collectées par les géants du numérique pourraient être utilisées par les sociologues pour étudier la société. Ce sont plutôt les entreprises privées qui y ont accès. Je me suis penché sur cette privatisation de la recherche pour @libe ⬇️
liberation.fr/idees-et-debat…
Computational social science team at CMB retweeted
#CNRSleJournal 📰 | Quel est l’impact des recommandations algorithmiques sur la diversité de la musique écoutée en streaming ? Grâce à l’ouverture de certaines données par Deezer, les chercheurs du projet Records ont pu dresser un premier tableau nuancé... bit.ly/3ntm6wE
Computational social science team at CMB retweeted
Deconstructing the effects and uses of algorithmic recommendation, by @camcam @css_cmb @centremarcbloch
Great seminar @CIVICA_EU & @LSEDataScience youtu.be/cy4wTHJ-5i4 #Algorithms #filterbubbles #DataScience
Computational social science team at CMB retweeted
🔒On parle bcp d'algorithmes ces jours-ci. Ça tombe bien, je bossais dessus depuis un moment, pour comprendre : comment sont fabriqués les algos ? Observer les conditions (sociales) de leur fabrica° permet de développer quelques réflexions ⬇️
liberation.fr/idees-et-debat…
Computational social science team at CMB retweeted
Fresh from the mill, on comparing semantic networks across actors, by Darkhan Medeuov, @camcam, Ksenia Puzyreva and Nikita Basov
Appraising discrepancies and similarities in semantic networks using concept-centered subnetworks ift.tt/38I02X0
Computational social science team at CMB retweeted
@camcam presents "Follow the guides: disentangling human and algorithmic curation in online music consumption", in collab. with @researchdeezer @MMoussallam and RECORDS colleagues, best paper candidate at #RecSys2021
Paper: arxiv.org/abs/2109.03915
RECORDS: records.huma-num.fr/
