Sign inGet started
Paper · arXiv

A Decade of Climate Polarization on Brazilian YouTube using Language Models

Online platforms have become arenas for the public contestation of climate change, shaping how scientific knowledge, denial, and uncertainty are expressed and disputed. Yet longitudinal evidence remains limited for YouTube, especially for Portuguese-language discourse. Addressing this gap, we characterize how climate stances are expressed and contested over time in a large corpus of Portuguese-language YouTube comments retrieved through Brazil-oriented climate-related searches. To support this analysis in a noisy, imbalanced, and low-resource setting, we collect more than 240,000 comments posted between 2014 and 2024 and formulate stance detection as a three-way classification task (Belie...

AuthorsDaniel Morais, Diego H. M. Magalhaes, Gabriel H. Silva et al.
Primary categorycs.SI
Published18 August 2026
Last updated at source18 August 2026
cs.SIcs.CLcs.CY
Embed this entry
<iframe src="https://silytics.si/embed/item/802756b0-e232-4061-9373-8e71b58a6071" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.