Residualized Factor Adaptation for Community Social Media Prediction Tasks (D18-1)
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| Challenge: | Existing approaches to social media language capture only socio-demographic contexts, such as age, education rates, race, and gender. |
| Approach: | They propose a method which integrates community attributes and adapts linguistic features to community attributes. |
| Outcome: | The proposed model integrates community attributes and adapts linguistic features to community attributes. |
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| Challenge: | Existing studies show that incorporating demographic factors in language representations improves performance on downstream NLP tasks. |
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Adithya V Ganesan, Siddharth Mangalik, Vasudha Varadarajan, Nikita Soni, Swanie Juhng, João Sedoc, H. Andrew Schwartz, Salvatore Giorgi, Ryan L Boyd
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Social Story Frames: Contextual Reasoning about Narrative Intent and Reception (2026.acl-long)
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Joel Mire, Maria Antoniak, Steven R Wilson, Zexin Ma, Achyutarama R Ganti, Andrew Piper, Maarten Sap
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