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08/29/2023
Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization
We used natural language processing to analyze a billion words to study ...
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05/24/2023
Human-Centered Metrics for Dialog System Evaluation
We present metrics for evaluating dialog systems through a psychological...
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02/25/2023
Robust language-based mental health assessments in time and space through social media
Compared to physical health, population mental health measurement in the...
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02/04/2023
Lived Experience Matters: Automatic Detection of Stigma toward People Who Use Substances on Social Media
Stigma toward people who use substances (PWUS) is a leading barrier to s...
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01/19/2023
Author as Character and Narrator: Deconstructing Personal Narratives from the r/AmITheAsshole Reddit Community
In the r/AmITheAsshole subreddit, people anonymously share first person ...
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02/03/2022
Cross-Platform Difference in Facebook and Text Messages Language Use: Illustrated by Depression Diagnosis
How does language differ across one's Facebook status updates vs. one's ...
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01/20/2022
Regional Negative Bias in Word Embeddings Predicts Racial Animus–but only via Name Frequency
The word embedding association test (WEAT) is an important method for me...
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09/01/2020
Twitter Corpus of the #BlackLivesMatter Movement And Counter Protests: 2013 to 2020
Black Lives Matter (BLM) is a grassroots movement protesting violence to...
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04/14/2020
Quantifying Community Characteristics of Maternal Mortality Using Social Media
While most mortality rates have decreased in the US, maternal mortality ...
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11/10/2019
Correcting Sociodemographic Selection Biases for Accurate Population Prediction from Social Media
Social media is increasingly used for large-scale population predictions...
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08/29/2018
The Remarkable Benefit of User-Level Aggregation for Lexical-based Population-Level Predictions
Nowcasting based on social media text promises to provide unobtrusive an...
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08/28/2018
