Petition Growth and Success Rates on the UK No. 10 Downing Street Website
Scott A. Hale, Helen Margetts, and Taha Yasseri

TL;DR
This study analyzes over 8,000 UK government petitions to understand growth patterns, confirming that online mobilization exhibits tipping points and early signatures significantly influence overall success.
Contribution
It introduces a big data approach to analyze online petition growth, revealing leptokurtic distribution of daily changes and the importance of initial signatures.
Findings
Petition growth often occurs in rapid bursts or tipping points.
Early signatures are a strong predictor of total petition success.
Growth distribution of petitions is leptokurtic, indicating punctuated equilibria.
Abstract
Now that so much of collective action takes place online, web-generated data can further understanding of the mechanics of Internet-based mobilisation. This trace data offers social science researchers the potential for new forms of analysis, using real-time transactional data based on entire populations, rather than sample-based surveys of what people think they did or might do. This paper uses a `big data' approach to track the growth of over 8,000 petitions to the UK Government on the No. 10 Downing Street website for two years, analysing the rate of growth per day and testing the hypothesis that the distribution of daily change will be leptokurtic (rather than normal) as previous research on agenda setting would suggest. This hypothesis is confirmed, suggesting that Internet-based mobilisation is characterized by tipping points (or punctuated equilibria) and explaining some of the…
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