Computational Methods for Social Sciences
Presented at the AI & Ideology Workshop, Sciences Po Paris. This talk covers the computational pipeline from LLM-based text annotation to ideological drift detection, with applications on two original databases.
YouPol
24,700 political videos from YouTube and TikTok across France and Quebec, with 2.95 million annotated sentences. A panel analysis across 19 channels and 36 quarters reveals a statistically significant neo-reactionary drift of +1.13 pp/decade in far-right YouTube content.
CCF Database
266,000 articles from 20 Canadian newspapers (1978-2024), with 9.2 million sentences annotated across 65 categories. Media cascade detection and thematic frame evolution over nearly five decades.
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Projects and resources
All tools and platforms presented are open source.