Joaquín Sevilla

@joaquinsevilla.bsky.social

Ciencia, docencia y otras hierbas

Europe's forests are losing more biomass than previously thought. A study published in @natgeosci.nature.com and supported by ESA's Climate Change Initiative found that biomass losses per hectare have increased by 46% since 2018, with drought and insect outbreaks driving increasingly severe losses.

Europe’s forests losing more biomass since 2018

Europe’s forests are losing more biomass than previously thought, with disturbances such as drought and pests causing increasingly large losses from some of the oldest forests in Europe. This situatio...

esa.int

Naukas Valladolid 2026, el futuro de la ciencia se celebrará el sábado 07 de noviembre... Estamos trabajando en el programa de charlas pero ya os podemos adelantar una gran noticia: Cambiamos de teatro para que nadie se quede fuera como años anteriores... Y es precioso!! Teatro Carrión allá vamos

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Si alguna vez has formulado un teorema y lo has demostrado, sabes que debes publicarlo incluyendo todos tus pasos, de modo que cualquier especialista pueda verificarlo. Los métodos computacionales fiables son abiertos: sabes qué estás haciendo. Declaración de Leiden, fácil de firmar con tu ORCID👇

Victor Etxebarria Ecenarro@vetxebarria.bsky.social · 2w ago

Los razonamientos matemáticos se consideran transparentes y sujetos a verificación independiente. Pueden ser extremadamente largos o complejos, pero no debería ser necesario disponer de equipos exclusivos para comprenderlos. Declaración de Leiden leidendeclaration.ai

Qué manía con la cámara de eco... Cada uno nos tratamos con quien nos da la realísima gana en nuestra vida y las redes sociales no van a ser una excepción. Y si una red social se empeña en relacionarnos con gente que nos da asco, se manda esa red a hacer muchas puñetas.

Que alguien le pase esto a los exaltados de las centrales nucleares y les pregunte cómo vamos a estar en España dentro de 10 años. Porque igual quieren centrales que haya q apagar cuatro meses al año

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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
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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.