Large-scale computerized text analysis in political science: Opportunities and challenges

J Wilkerson, A Casas - Annual Review of Political Science, 2017 - annualreviews.org
Text has always been an important data source in political science. What has changed in
recent years is the feasibility of investigating large amounts of text quantitatively. The internet …

Data ex machina: introduction to big data

D Lazer, J Radford - Annual Review of Sociology, 2017 - annualreviews.org
Social life increasingly occurs in digital environments and continues to be mediated by
digital systems. Big data represents the data being generated by the digitization of social life …

Integrating survey data and digital trace data: Key issues in developing an emerging field

S Stier, J Breuer, P Siegers… - Social Science …, 2020 - journals.sagepub.com
While survey research has been at the heart of social science for decades and social
scientific research with digital trace data has been growing rapidly in the last few years, until …

Fake news on Twitter during the 2016 US presidential election

N Grinberg, K Joseph, L Friedland, B Swire-Thompson… - Science, 2019 - science.org
The spread of fake news on social media became a public concern in the United States after
the 2016 presidential election. We examined exposure to and sharing of fake news by …

How the news media activate public expression and influence national agendas

G King, B Schneer, A White - Science, 2017 - science.org
We demonstrate that exposure to the news media causes Americans to take public stands
on specific issues, join national policy conversations, and express themselves publicly—all …

Synthetic replacements for human survey data? The perils of large language models

J Bisbee, JD Clinton, C Dorff, B Kenkel… - Political Analysis, 2024 - cambridge.org
Large language models (LLMs) offer new research possibilities for social scientists, but their
potential as “synthetic data” is still largely unknown. In this paper, we investigate how …

Discovery of high-entropy ceramics via machine learning

K Kaufmann, D Maryanovsky, WM Mellor… - Npj Computational …, 2020 - nature.com
Although high-entropy materials are attracting considerable interest due to a combination of
useful properties and promising applications, predicting their formation remains a hindrance …

[图书][B] Text as data: A new framework for machine learning and the social sciences

J Grimmer, ME Roberts, BM Stewart - 2022 - books.google.com
A guide for using computational text analysis to learn about the social world From social
media posts and text messages to digital government documents and archives, researchers …

“Born for a storm”: Hard-right social media and civil unrest

D Karell, A Linke, E Holland… - American sociological …, 2023 - journals.sagepub.com
Does activity on hard-right social media lead to hard-right civil unrest? If so, why? We
created a spatial panel dataset comprising hard-right social media use and incidents of …

The effects of Airbnb's price positioning on hotel performance

KL Xie, L Kwok - International Journal of Hospitality Management, 2017 - Elsevier
This study examined the relationship between the price positioning of Airbnb listings,
measured in price difference between a hotel property and the nearby Airbnb listings as well …