Tag Archives: data

CFP for Use of Internet, Activism, and Social Movements Datasets

From 2006-2012, I had a NSF CAREER Award to collect data on online protest across 20 different issue areas. That effort produced two time-series datasets: a panel dataset tracking about 1,200 websites across 5 years, and a cross-sectional dataset tracking new samples of websites each year for five years. Each of these datasets is really two nested sets: one on the overall websites and one on all protest actions that were hosted or linked to from study websites.

After discussions with potential users at the CBSM pre-conference in Las Vegas, several data collection team members and I designed a data release process based directly on potential user input that is engineered to develop a strong and informed user base and reviewing community for the dataset. Continue reading

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GDELT and Research on Global Women’s Rights Activity

The release of the GDELT dataset (Global Data on Events, Location, and Tone) has provided social movement researchers a powerful tool to study global social movements. Preliminary explorations of these data show its potential promise for analyzing major social movements, e.g. the uprising in Egypt, the Israeli-Palestinian Conflict, and Syria’s civil war. It’s updated every day (!), which is great for ongoing social movement research.

As with any data, one should take caution when using GDELT to make claims about the real world. Continue reading

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Might a Global Events Dataset Contribute to Social Movements Research?

Alex Hanna has a recent post over at Bad Hessian about the potential value of a newly released dataset, GDELT, for the study of social movements.  GDELT stands for Global Data on Events, Location and Tone, and is a news-based events data base covering  the globe for the years 1979-2012.  It is in its beta release,  and will eventually be updated regularly on a near real time basis.  One of many cool things about today’s research environment is that though GDELT has been online for less than two months, one can already find R and python code to assist one’s exploration of it (e.g., see here, here, and here). Continue reading

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