13 citations · 39 across the 12 of their papers we have counts for
9 papers · 1 filter
Historical patterns of rice farming explain modern-day language use in China and Japan more than modernization and urbanization
Sharath Chandra Guntuku, Thomas Talhelm, Garrick Sherman +4
We used natural language processing to analyze a billion words to study cultural differences on Weibo, one of China's largest social media platforms. We compared predictions from t…
Psychological Metrics for Dialog System Evaluation
Salvatore Giorgi, Shreya Havaldar, Farhan Ahmed +6
We present metrics for evaluating dialog systems through a psychologically-grounded "human" lens in which conversational agents express a diversity of both states (e.g., emotion) a…
Robust language-based mental health assessments in time and space through social media
Siddharth Mangalik, Johannes C. Eichstaedt, Salvatore Giorgi +8
Compared to physical health, population mental health measurement in the U.S. is very coarse-grained. Currently, in the largest population surveys, such as those carried out by the…
Lived Experience Matters: Automatic Detection of Stigma on Social Media Toward People Who Use Substances
Salvatore Giorgi, Douglas Bellew, Daniel Roy Sadek Habib +6
Stigma toward people who use substances (PWUS) is a leading barrier to seeking treatment.Further, those in treatment are more likely to drop out if they experience higher levels of…
Author as Character and Narrator: Deconstructing Personal Narratives from the r/AmITheAsshole Reddit Community
Salvatore Giorgi, Ke Zhao, Alexander H. Feng +1
In the r/AmITheAsshole subreddit, people anonymously share first person narratives that contain some moral dilemma or conflict and ask the community to judge who is at fault (i.e.,…
Different Affordances on Facebook and SMS Text Messaging Do Not Impede Generalization of Language-Based Predictive Models
Tingting Liu, Salvatore Giorgi, Xiangyu Tao +4
Adaptive mobile device-based health interventions often use machine learning models trained on non-mobile device data, such as social media text, due to the difficulty and high exp…
Regional Negative Bias in Word Embeddings Predicts Racial Animus--but only via Name Frequency
Austin van Loon, Salvatore Giorgi, Robb Willer +1
The word embedding association test (WEAT) is an important method for measuring linguistic biases against social groups such as ethnic minorities in large text corpora. It does so…
Quantifying Community Characteristics of Maternal Mortality Using Social Media
Rediet Abebe, Salvatore Giorgi, Anna Tedijanto +2
While most mortality rates have decreased in the US, maternal mortality has increased and is among the highest of any OECD nation. Extensive public health research is ongoing to be…
Residualized Factor Adaptation for Community Social Media Prediction Tasks
Mohammadzaman Zamani, H. Andrew Schwartz, Veronica E. Lynn +2
Predictive models over social media language have shown promise in capturing community outcomes, but approaches thus far largely neglect the socio-demographic context (e.g. age, ed…