Contemporary collective action, much of which involves social media and other Internet-based platforms, leaves a digital imprint which may be harvested to better understand the dynamics of mobilization. Petition signing is an example of collective action which has gained in popularity with rising use of social media and provides such data for the whole population of petition signatories for a given platform. This paper tracks the growth curves of all 20,000 petitions to the UK government petitions website (http://epetitions.direct.gov.uk) and 1,800 petitions to the US White House site (https://petitions.whitehouse.gov), analyzing the rate of growth and outreach mechanism. Previous research has suggested the importance of the first day to the ultimate success of a petition, but has not examined early growth within that day, made possible here through hourly resolution in the data. The analysis shows that the vast majority of petitions do not achieve any measure of success; over 99 percent fail to get the 10,000 signatures required for an official response and only 0.1 percent attain the 100,000 required for a parliamentary debate (0.7 percent in the US). We analyze the data through a multiplicative process model framework to explain the heterogeneous growth of signatures at the population level. We define and measure an average outreach factor for petitions and show that it decays very fast (reducing to 0.1 pervent after 10 hours in the UK and 30 hours in the US). After a day or two, a petition's fate is virtually set. The findings challenge conventional analyses of collective action from economics and political science, where the production function has been assumed to follow an S-shaped curve.
翻译:签署请愿书是集体行动的一个范例,随着社会媒体使用量的增加而日益受到欢迎,但当天没有审查早期增长,而是通过数据中的每小时决议得以实现。 分析表明,绝大多数请愿书没有取得任何程度的成功;99%以上没有获得官方答复所需的10 000个签名,只有0.1%没有达到议会辩论所需的100 000个签名(假设美国为0.7%)。我们通过一个多倍化进程模型框架分析数据,以解释在一天之后人口水平上不同程度的签名增长,在10小时之后,我们确定并衡量一个平均指标。