RE: https://curia.social-network.europa.eu/@Curia/116758852644484436

Well. A lot of digital rights lawyers seem very excited about this ruling from the Court of Justice today - in particular, the final paragraph 122:

⚡️a website that controls what viewers see via an algorithm is liable for the content⚡️

Full judgment (in French): https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:62024CJ0188

Case refs:

C-188/24 WebGroup Czech Republic and NKL Associates

and

C-190/24 Coyote System

#DigitalRights #bigtech #algorithms #InfiniteScroll #SurveillanceCapitalism #RecommenderSystems #EU #AI #Law

Noch eine Woche bis zum Bewerbungsschluss:

Projektkoordinator:in Gutachter:innen-Empfehlungssystem für Zeitschriften (m/w/d), 24 Monate, 75% E13, ab 1.10.

https://www.tib.eu/de/die-tib/karriere-und-ausbildung/stellenangebote/detail/stellenausschreibung-nr-18-2026

Aufstockungsoptionen prüfen wir gerne. Das wird ein spannendes Projekt - gerne anschauen, weiterleiten. Stehe für Nachfragen zur Verfügung.

#OpenAccess #RecommenderSystems #ScholarlyCommunication

A Job I Like or a Job I Can Get: Designing Job #RecommenderSystems Using Field Experiments https://d.repec.org/n?u=RePEc:arx:papers:2603.21699&r=&r=exp
"… welfare-optimal RSs rank vacancies by an expected-surplus index, and shows why rankings based solely on utility, #hiring probabilities, or observed application behavior are generically suboptimal
… Algorithms informed by the model-implied optimal ranking substantially outperform existing approaches and perform close to the welfare-optimal benchmark.

While the joint application-and-hiring probability is not welfare-optimal in theory, it emerges as a strong empirical benchmark in our setting. This result is structural rather than algorithmic: application probabilities are empirically small and remain so even under recommendation rules designed to stimulate applications
… rankings based solely on application behavior are theoretically fragile
… Machine-learning tools can substantially improve matching outcomes, but only when embedded in a framework that defines the economic objective and disciplines behavioral assumptions with experimental evidence. Without such a framework, RSs optimized for observable behaviors may perform well on predictive metrics yet remain misaligned with welfare-relevant outcomes."
#LaborMarkets #jobtech #socialWelfare #ExperimentalEcon

📢 Fantastic news from the Digital Science Center! 📢

The open‑access paper “Maximal Transparency for Online Recommender Systems” is out in Philosophy & Technology. A truly interdisciplinary effort across philosophy, bioinformatics, mathematics, computer science, and law.

Read the full article here: https://link.springer.com/article/10.1007/s13347-026-01084-7

#RecommenderSystems #Transparency #AIEthics #OpenAccess #InterdisciplinaryResearch #Philosophy #Technology #EUAIAct
1/5

I'm really happy to see political parties beginning to take toxic algorithms seriously!

We must force private, for-profit social media companies to turn off their recommender systems *for everyone* for good - so we can once again regain freedom to choose what we see online, like we had until 2014 when the doom spiral began!

https://www.fm104.ie/news/fm104-news/people-before-bill-targets-toxic-algorithms-harming-children/

#Ireland #IrishPolitics #Algorithms #RecommenderSystems #ToxicAlgorithms #SocialMedia #EUPolitics #Democracy #MentalHealth #Tech #TechRegulation

Paige Saunders @paige (rather than Dawn Walker @dawn as I erroneously wrote earlier!) has this great video, 'We Have An Algorithm Problem' at https://video.fedihost.co/w/a1522517-704e-44a3-aa0e-5c4e7d49e7d1, where he says that fediverse users' suspicion of algorithms is completely warranted, but now that we have been able to opt out of algorithmic content where we had zero agency, we need a conversation about what it means to opt in with algorithms under our own control.

#ContentAlgorithms #RecommenderSystems