Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Margaret E. Roberts"'
Autor:
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 10, Pp 1138-1158 (2022)
AbstractA fundamental goal of scientific research is to learn about causal relationships. However, despite its critical role in the life and social sciences, causality has not had the same importance in Natural Language Processing (NLP), which has tr
Externí odkaz:
https://doaj.org/article/ce20dd42414b496493ce8c27322a7d13
Publikováno v:
Journal of Statistical Software, Vol 91, Iss 1, Pp 1-40 (2019)
This paper demonstrates how to use the R package stm for structural topic modeling. The structural topic model allows researchers to flexibly estimate a topic model that includes document-level metadata. Estimation is accomplished through a fast vari
Externí odkaz:
https://doaj.org/article/af9395a1e6d248199e0e4a979a475721
Autor:
Jennifer Pan, Margaret E. Roberts
Publikováno v:
SAGE Open, Vol 10 (2020)
The fast-growing body of research on internet censorship has examined the effects of censoring selective pieces of political information and the unintended consequences of censorship of entertainment. However, we know very little about the broader co
Externí odkaz:
https://doaj.org/article/ccec990d88fd46feb1b1ff06af266926
Autor:
Seth J. Hill, Margaret E. Roberts
Publikováno v:
Political Analysis. :1-16
Scholars, pundits, and politicians use opinion surveys to study citizen beliefs about political facts, such as the current unemployment rate, and more conspiratorial beliefs, such as whether Barack Obama was born abroad. Many studies, however, ignore
Autor:
Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean‐François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex ‘Sandy’ Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, Michael Wellman
Publikováno v:
Machine Learning and the City. :143-166
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Science advances. 8(42)
New text as data techniques offer a great promise: the ability to inductively discover measures that are useful for testing social science theories of interest from large collections of text. We introduce a conceptual framework for making causal infe
Publikováno v:
Annual Review of Political Science. 24:395-419
Social scientists are now in an era of data abundance, and machine learning tools are increasingly used to extract meaning from data sets both massive and small. We explain how the inclusion of machine learning in the social sciences requires us to r
Autor:
Margaret E. Roberts
Publikováno v:
Annual Review of Political Science. 23:401-419
To what extent are Internet users resilient to online censorship? When does censorship influence consumption of information and when does it create backlash? Drawing on a growing literature on Internet users’ reactions to censorship, I posit that a
Publikováno v:
Proceedings of the National Academy of Sciences of USA, vol 119, iss 4
Proceedings of the National Academy of Sciences of the United States of America
Proceedings of the National Academy of Sciences of the United States of America
Significance We study the impact of crisis on information seeking in authoritarian regimes. Using digital trace data from China during the COVID-19 crisis, we show that crisis motivates citizens to seek out crisis-related information, which subsequen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02e70ed86c37ccb4fbef6b0a9d5f8448
https://escholarship.org/uc/item/1t93f6gn
https://escholarship.org/uc/item/1t93f6gn