Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jason Radford"'
Autor:
Jason Radford, Kenneth Joseph
Publikováno v:
Frontiers in Big Data, Vol 3 (2020)
Research at the intersection of machine learning and the social sciences has provided critical new insights into social behavior. At the same time, a variety of issues have been identified with the machine learning models used to analyze social data.
Externí odkaz:
https://doaj.org/article/8b5fcfc91c58415582baf3135c8b38cd
Autor:
Eszter Hargittai, Sandra González-Bailón, Jason Radford, David Lazer, Katherine Ognyanova, Deen Freelon, Kevin Munger
Publikováno v:
Nature. 595:189-196
Science rarely proceeds beyond what scientists can observe and measure, and sometimes what can be observed proceeds far ahead of scientific understanding. The twenty-first century offers such a moment in the study of human societies. A vastly larger
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86d77e875f976a51f6a5b61f31cd866c
https://doi.org/10.1038/s41586-021-03660-7
https://doi.org/10.1038/s41586-021-03660-7
Autor:
Jason Radford, Jon Green, Alexi Quintana, Alauna Safarpour, Matthew D Simonson, Matthew Baum, David Lazer, Katherine Ognyanova, James Druckman, Roy Perlis, Mauricio Santillana, John D. Volpe
COVID-19 fundamentally changed the world in a matter of months. To understand how it was impacting life in the United States, we fielded a non-probability survey in all 50 states concerning people's attitudes, beliefs, and behaviors, designed to be r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::322331c49a049a87429219c1ce131830
https://doi.org/10.31219/osf.io/cwkg7
https://doi.org/10.31219/osf.io/cwkg7
Autor:
Jason Radford, David Lazer
Publikováno v:
The Wiley Blackwell Companion to Sociology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b575b630c53618cf03890b42ad92c8d
https://doi.org/10.1002/9781119429333.ch24
https://doi.org/10.1002/9781119429333.ch24
Autor:
David, Lazer, Eszter, Hargittai, Deen, Freelon, Sandra, Gonzalez-Bailon, Kevin, Munger, Katherine, Ognyanova, Jason, Radford
Publikováno v:
Nature. 595(7866)
Science rarely proceeds beyond what scientists can observe and measure, and sometimes what can be observed proceeds far ahead of scientific understanding. The twenty-first century offers such a moment in the study of human societies. A vastly larger
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::add51c538795f755447ce3b3dcb437e1
https://pubmed.ncbi.nlm.nih.gov/34194043
https://pubmed.ncbi.nlm.nih.gov/34194043
Autor:
Brooke Foucault Welles, Jefferson Hoye, David Lazer, Andrew Pilny, Jason Radford, Ashley V. Reichelmann, Waleed Meleis, Katherine Ognyanova, Brian Keegan
Publikováno v:
Social Psychology Quarterly. 79:376-396
Experimental research in traditional laboratories comes at a significant logistic and financial cost while drawing data from demographically narrow populations. The growth of online methods of research has resulted in effective means for social psych
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad2452da6e89dbde6e874c7e77855bf1
https://doi.org/10.1177/0190272516675866
https://doi.org/10.1177/0190272516675866
Autor:
Jason Radford
Theories developed by academics influence those they study, in some cases fundamentally shaping the world we study. This influential relationship, often called performativity, has gone largely unnoticed and uncommented on in organizational theory and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8babfd0a6c153c34a93223cf89423927
https://osf.io/preprints/socarxiv/8tnfj
https://osf.io/preprints/socarxiv/8tnfj
Autor:
Jason Radford
In the United States, women make roughly 75% of what men make. This inequality is reduced to roughly 92% once factors like occupation and job performance are controlled. The central debate over which number is correct has been whether these occupatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e22fdcacf6a51bae4379140f37d83457
Autor:
Jason Radford
Publikováno v:
IEEE BigData
Machine learning methods can be used to accurately predict core characteristics about people such as their gender, age, race, or political orientation. However, prediction models tend not to generalize, offer little explanation for particular corpora
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05cf6bfb9e78845a37509d4803e77cbd
https://doi.org/10.1109/bigdata.2017.8258555
https://doi.org/10.1109/bigdata.2017.8258555
Publikováno v:
IEEE BigData
A variety of studies have shown that machine learning methods like convolutional neural nets and random forests can be used to accurately infer characteristics of people online such as their gender, age, race, or political orientation. However, these
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cc356419fe6832da5a870fa98983756
https://doi.org/10.1109/bigdata.2017.8258554
https://doi.org/10.1109/bigdata.2017.8258554