Petition growth and success rates on the UK No. 10 Downing Street website

Scott A. Hale, H. Margetts, T. Yasseri
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引用次数: 69

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 volatility in online collective action. We find also that most successful petitions grow quickly and that the number of signatures a petition receives on its first day is a significant factor in explaining the overall number of signatures a petition receives during its lifetime. These findings have implications for the strategies of those initiating petitions and the design of web sites with the aim of maximising citizen engagement with policy issues.
英国唐宁街10号网站上的请愿增长和成功率
既然如此多的集体行动都发生在网上,网络生成的数据可以进一步理解基于互联网的动员机制。这种追踪数据为社会科学研究人员提供了新的分析形式的可能性,使用基于整个人群的实时交易数据,而不是基于样本的调查,即人们认为他们做了什么或可能做什么。本文使用“大数据”方法跟踪了两年来唐宁街10号网站上向英国政府提交的8000多份请愿书的增长情况,分析了每天的增长速度,并检验了每日变化的分布将像之前关于议程设置的研究所表明的那样呈弱峰分布(而不是正常)的假设。这一假设得到了证实,表明基于互联网的动员具有临界点(或间断平衡)的特征,并解释了在线集体行动中的一些波动性。我们还发现,大多数成功的请愿增长迅速,请愿在第一天收到的签名数量是解释请愿在其整个生命周期中收到的签名总数的一个重要因素。这些发现对发起请愿者的策略和网站的设计具有启示意义,旨在最大限度地提高公民对政策问题的参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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