601 citations
- University of VermontUS4 papers
- ALMANACH: Modélisation et analyse linguistique automatique et humanités computationnellesFR1 paper
- Arizona State UniversityUS1 paper
- Assured Information Security (United States)US1 paper
- Asus (Taiwan)TW1 paper
- Birla Institute of Technology and Science, PilaniIN1 paper
- Booz Allen Hamilton (United States)US1 paper
- Brown UniversityUS1 paper
- Center PointUS1 paper
- CyberOptics (United States)US1 paper
- Harvard UniversityUS1 paper
- Hugging FaceUS1 paper
9 papers
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh, Albert Webson, Colin Raffel +38
Large language models have recently been shown to attain reasonable zero-shot generalization on a diverse set of tasks (Brown et al., 2020). It has been hypothesized that this is a…
Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter
Thayer Alshaabi, Jane L. Adams, Michael V. Arnold +5
In real-time, social media data strongly imprints world events, popular culture, and day-to-day conversations by millions of ordinary people at a scale that is scarcely conventiona…
The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong
Thayer Alshaabi, David Rushing Dewhurst, James P. Bagrow +2
Human mortality is in part a function of multiple socioeconomic factors that differ both spatially and temporally. Adjusting for other covariates, the human lifespan is positively…
How the world's collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter
T. Alshaabi, J. R. Minot, M. V. Arnold +6
In confronting the global spread of the coronavirus disease COVID-19 pandemic we must have coordinated medical, operational, and political responses. In all efforts, data is crucia…
The growing amplification of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020
Thayer Alshaabi, David R. Dewhurst, Joshua R. Minot +4
Working from a dataset of 118 billion messages running from the start of 2009 to the end of 2019, we identify and explore the relative daily use of over 150 languages on Twitter. W…
Fake News Detection on Social Media: A Data Mining Perspective
Kai Shu, Amy Sliva, Suhang Wang +2
Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume ne…