Sandrine Chausson
@sandachausson.bsky.social
PhD student in Natural Language Processing and Computational Social Science at the University of Edinburgh 🏴
One month to the 2026 Men’s FIFA World Cup kick-off ⚽️ and this edition looks set to become one of the most politicised ever. In our latest JQD:DM paper, we revisit the 2022 edition in Qatar through the lens of politicisation. A few things stood out: [1/9] journalqd.org/article/view...
Beyond the Game: Comparing Political News Coverage and Twitter Discussions during the 2022 FIFA World Cup | Journal of Quantitative Description: Digital Media
journalqd.org
Truly honoured that our paper got such a mention from @lauraknelson.bsky.social! If you’re in need of a versatile and lightweight text classification methodology for sociological research, please consider giving the “Insight-Inference Loop” a read 😊
Laura K. Nelson@lauraknelson.bsky.social · last yr.This article is really good. Among everything coming out around LMs in sociology, this is top of the list for me. They frame text classification at a Natural Language Inference problem, and use BERT(MNLI) to produce an "entailment" score for document-claim pairs. Reproducible, careful, usable work.