no code implementations • Findings (ACL) 2022 • Ann-Katrin Reuel, Sebastian Peralta, João Sedoc, Garrick Sherman, Lyle Ungar
Being able to reliably estimate self-disclosure – a key component of friendship and intimacy – from language is important for many psychology studies.
no code implementations • EMNLP (NLP-COVID19) 2020 • Austin Van Loon, Sheridan Stewart, Brandon Waldon, Shrinidhi K Lakshmikanth, Ishan Shah, Sharath Chandra Guntuku, Garrick Sherman, James Zou, Johannes Eichstaedt
Our ability to limit the future spread of COVID-19 will in part depend on our understanding of the psychological and sociological processes that lead people to follow or reject coronavirus health behaviors.
no code implementations • 10 Jan 2024 • Young-Min Cho, Dandan Pang, Stuti Thapa, Garrick Sherman, Lyle Ungar, Louis Tay, Sharath Chandra Guntuku
There are substantial differences among cultures that contribute to their affective expressions.
no code implementations • 29 Aug 2023 • Sharath Chandra Guntuku, Thomas Talhelm, Garrick Sherman, Angel Fan, Salvatore Giorgi, Liuqing Wei, Lyle H. Ungar
We used natural language processing to analyze a billion words to study cultural differences on Weibo, one of China's largest social media platforms.
no code implementations • 4 Feb 2023 • Salvatore Giorgi, Douglas Bellew, Daniel Roy Sadek Habib, Garrick Sherman, Joao Sedoc, Chase Smitterberg, Amanda Devoto, McKenzie Himelein-Wachowiak, Brenda Curtis
Results show that workers who use substances or know someone with a substance use disorder are more likely to rate a post as stigmatizing.
1 code implementation • 19 Oct 2021 • Jesse Cui, Tingdan Zhang, Kokil Jaidka, Dandan Pang, Garrick Sherman, Vinit Jakhetiya, Lyle Ungar, Sharath Chandra Guntuku
This paper studies linguistic differences in the experiences and expressions of stress in urban-rural China from Weibo posts from over 65, 000 users across 329 counties using hierarchical mixed-effects models.