Zobrazeno 1 - 10
of 495
pro vyhledávání: '"Ungar, Lyle H"'
Autor:
Giorgi, Salvatore, Liu, Tingting, Aich, Ankit, Isman, Kelsey, Sherman, Garrick, Fried, Zachary, Sedoc, João, Ungar, Lyle H., Curtis, Brenda
Large language models (LLMs) are increasingly being used in human-centered social scientific tasks, such as data annotation, synthetic data creation, and engaging in dialog. However, these tasks are highly subjective and dependent on human factors, s
Externí odkaz:
http://arxiv.org/abs/2406.14462
Autor:
Salecha, Aadesh, Ireland, Molly E., Subrahmanya, Shashanka, Sedoc, João, Ungar, Lyle H., Eichstaedt, Johannes C.
As Large Language Models (LLMs) become widely used to model and simulate human behavior, understanding their biases becomes critical. We developed an experimental framework using Big Five personality surveys and uncovered a previously undetected soci
Externí odkaz:
http://arxiv.org/abs/2405.06058
Autor:
Andy, Anietie U, Guntuku, Sharath C, Adusumalli, Srinath, Asch, David A, Groeneveld, Peter W, Ungar, Lyle H, Merchant, Raina M
Publikováno v:
JMIR Cardio, Vol 5, Iss 1, p e24473 (2021)
BackgroundCurrent atherosclerotic cardiovascular disease (ASCVD) predictive models have limitations; thus, efforts are underway to improve the discriminatory power of ASCVD models. ObjectiveWe sought to evaluate the discriminatory power of social me
Externí odkaz:
https://doaj.org/article/307e5bfe4cb844f2bae42f2180ff0c97
Autor:
Guntuku, Sharath Chandra, Talhelm, Thomas, Sherman, Garrick, Fan, Angel, Giorgi, Salvatore, Wei, Liuqing, Ungar, Lyle H.
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 two common explanations about cultural differences in China (economic d
Externí odkaz:
http://arxiv.org/abs/2308.15352
Autor:
Giorgi, Salvatore, Havaldar, Shreya, Ahmed, Farhan, Akhtar, Zuhaib, Vaidya, Shalaka, Pan, Gary, Ungar, Lyle H., Schwartz, H. Andrew, Sedoc, Joao
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) and traits (e.g., personality), just as people do. We present five inte
Externí odkaz:
http://arxiv.org/abs/2305.14757
Autor:
Santosh, Roshan, Schwartz, H. Andrew, Eichstaedt, Johannes C., Ungar, Lyle H., Guntuku, Sharath C.
In this paper, we present an iterative graph-based approach for the detection of symptoms of COVID-19, the pathology of which seems to be evolving. More generally, the method can be applied to finding context-specific words and texts (e.g. symptom me
Externí odkaz:
http://arxiv.org/abs/2011.03983
Autor:
Stamatis, Caitlin A., Liu, Tingting, Meyerhoff, Jonah, Meng, Yixuan, Cho, Young Min, Karr, Chris J., Curtis, Brenda L., Ungar, Lyle H., Mohr, David C.
Publikováno v:
In Internet Interventions December 2023 34
Autor:
Meyerhoff, Jonah, Liu, Tingting, Stamatis, Caitlin A., Liu, Tony, Wang, Harry, Meng, Yixuan, Curtis, Brenda, Karr, Chris J., Sherman, Garrick, Ungar, Lyle H., Mohr, David C.
Publikováno v:
In Behaviour Research and Therapy July 2023 166
Previous work has found strong links between the choice of social media images and users' emotions, demographics and personality traits. In this study, we examine which attributes of profile and posted images are associated with depression and anxiet
Externí odkaz:
http://arxiv.org/abs/1904.02670
Global acceptance of Emojis suggests a cross-cultural, normative use of Emojis. Meanwhile, nuances in Emoji use across cultures may also exist due to linguistic differences in expressing emotions and diversity in conceptualizing topics. Indeed, liter
Externí odkaz:
http://arxiv.org/abs/1904.02671