Tomás Cano

@tomascano.bsky.social

Associate professor of sociology at UNED in Madrid studying gender, families, and social stratification. PI of @masculinities.bsky.social Co-PI of @ge-ps.bsky.social http://www.tomascano.eu

At this year's music Pedagogy into Practice conference at UBC, I attended a keynote address on the subject of integrating AI into music education, from José Antonio Bowen. It was the most disappointed I have ever been during a keynote talk. At times, it was stomach-churning. Thread:

Escribo sobre cómo" prioridad nacional" significa más bien vivir a costa de los migrantes. Porque la clase media española se sostiene, en parte, gracias al trabajo barato y las rentas de alquiler que extrae a la población extranjera. En @ctxt.es ctxt.es/es/20260501/...

Hablar de prioridad nacional, pero vivir a costa de los migrantes

La clase media española se sostiene en parte gracias al trabajo, las cotizaciones y las rentas de alquiler que extrae a la población extranjera

ctxt.es

Two new facts stand out: 1. 85% of hallucinated citations in preprints are also in the subsequent journal version (thanks, peer review!) 2. Fake cites more likely to use the names of (male) scholars who are already highly cited, creating a fake-citation Matthew effect. arxiv.org/abs/2605.07723

LLM hallucinations in the wild: Large-scale evidence from non-existent citations

Large language models (LLMs) are known to generate plausible but false information across a wide range of contexts, yet the real-world magnitude and consequences of this hallucination problem remain p...

arxiv.org

📢 ¡Esta semana es la última sesión del Seminario Inequality & Social Demography de la UNED! Con un invitado de lujo: Arnout van de Rijt (EUI) que presentará: “What Drives the Matthew Effect in Science Funding: Money or Status?” 🗓 7 mayo, 19:00-20:30 📍 Bravo Murillo 38 ¡Nos vemos el jueves!

It's interesting how The Daily Wire attacks the idea that gender is a performance when their sets are all about gender performance. Look at the aesthetics here — the cigars and crystal decanter with Japanese whiskey, the black dress shirt, the tight suit with two-toned double monks and tie bar ...

1/ Ya está en la calle Nómadas digitales y precarización algorítmica! Un libro colectivo sobre trabajo, vivienda y ciudad en tiempos de plataformas.

Los Libros de la Catarata@cataratalibros.bsky.social · 5mo ago

'Nómadas digitales y precarización algorítmica', de Jorge Sequera @jsequera.bsky.social, Ana Santamarina @anasantamarinag.bsky.social , Francisco Fernández-Trujillo @franciscoftm.bsky.social (coords.) y varios autores. #Novedad #PróximamenteEnTuLibrería buff.ly/YVwpMHr

🔍 How does economic inequality impact beliefs in meritocracy? Using comprehensive survey data from 39 advanced capitalist democracies over more than three decades, Markus Gangl & I examine how rising economic inequality has been shaping citizens' belief in meritocracy. 🔗 doi.org/10.1093/ser/mwag016

The paradox of inequality that isn’t: rising economic inequality depresses and polarizes citizens’ belief in meritocracy

Abstract. This study examines how rising income inequality has been impacting individuals’ belief in merit-based success, using three decades of survey dat

doi.org

A new paper shows that less than 2 months of exposure to Twitter’s algorithmic feed significantly shifts people’s political views to the right. Moving from chronological feed to the algorithmic feed also increases engagement. This is one of the most concerning papers I’ve read in awhile.

The political effects of X's feed algorithm
https://doi.org/10.1038/s41586-026-10098-2
Received: 16 December 2024
Accepted: 4 January 2026
Published online: 18 February 2026
Open access
• Check for updates
Germain Gauthier,5, Roland Hodler?5, Philine Widmer35 & Ekaterina Zhuravskaya3,4,5 m
Feed algorithms are widely suspected to influence political attitudes. However, previous evidence from switching off the algorithm on Meta platforms found no political effects'. Here we present results from a 2023 field experiment on Elon Musk's platform X shedding light on this puzzle. We assigned active US-based users randomly to either an algorithmic or a chronological feed for 7 weeks, measuring political attitudes and online behaviour. Switching from a chronological to an algorithmic feed increased engagement and shifted political opinion towards more conservative positions, particularly regarding policy priorities, perceptions of criminal investigations into Donald Trump and views on the war in Ukraine. In contrast, switching from the algorithmic to the chronological feed had no comparable effects.
Neither switching the algorithm on nor switching it off significantly affected affective polarization or self-reported partisanship. To investigate the mechanism, we analysed users' feed content and behaviour. We found that the algorithm promotes conservative content and demotes posts by traditional media. Exposure to algorithmic content leads users to follow conservative political activist accounts, which they continue to follow even after switching off the algorithm, helping explain the asymmetry in effects. These results suggest that initial exposure to X's algorithm has persistent effects on users' current political attitudes and account-following behaviour, even in the absence of a detectable effect on partisanship.

✨ This Thursday! ✨ We’re excited for another UNED-GEPS Seminar with a great talk: 👤 Daniel Oesch (University of Lausanne) "The closing gender gap in labour markets: cohort evidence from Europe and the US" 📌 Sala Jorge Cavodeassi, UNED. C/ Bravo Murillo 38 See u there!