OSF
open access
Geographically aggregated psychological traits from linguistic analysis of Twitter data predict U.S. voter realignment since 2016
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
OSF
Related documents
- Correlation between linguistic classifications and psychological clusters#657577
- The Divergence Hypothesis: Unmasking Lexical Interference and Label Bias in Mental Health NLP#658934
- The Divergence Hypothesis: Unmasking Lexical Interference and Label Bias in Mental Health NLP#656798
- Silicon sampling answers with country-level assumptions, not individual attitudes: Cross-national evidence from the European Social Survey#1110755
- Uncovering Latent Patterns in Social Media Usage and Mental Health: A Clustering-Based Approach Using Unsupervised Machine Learning#138925
Record · ID 31060 · SHA-256 325e26f627083b00
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive