FIND DATA: By Author | Journal | Sites   ANALYZE DATA: Help with R | SPSS | Stata | Excel   WHAT'S NEW? US Politics | Int'l Relations | Law & Courts
   FIND DATA: By Author | Journal | Sites   WHAT'S NEW? US Politics | IR | Law & Courts
If this link is broken, please report as broken. You can also submit updates (will be reviewed).
Women's March cellphone data reveals news/social media accurately reflect protest size
Insights from the Field
cellphone data
women’s march
geolocated tweets
protest size
Methodology
APSR
8 R files
23 datasets
39 other files
11 text files
8 LaTeX files
Dataverse
News and Geolocated Social Media Accurately Measure Protest Size Variation was authored by Anton Sobolev, M. Keith Chen, Jungseock Joo and Zachary Steinert-Threlkeld. It was published by Cambridge in APSR in 2020.

This letter addresses whether attendance estimates from news or social media are biased.

Data & Methods: Utilized over 10 million individuals' cellphone location data during the 2017 Women's March protests.

Key Findings: Cellphone estimates strongly correlate with both mainstream media reports and geolocated tweet counts (including text-based and image-based methods). Inferences about protest size drawn from these diverse sources align closely.

The study demonstrates that measures of the Women's March derived through news coverage, social media analysis, or cellphone data all capture true attendance variation effectively. This finding is significant because accurate measurement helps explain policy responsiveness to protests.

data
Find on Google Scholar
Find on JSTOR
Find on CUP
American Political Science Review
Podcast host Ryan