{"title":"Do Parliamentary Debates of e-Petitions Enhance Public Engagement With Parliament? An Analysis of Twitter Conversations","authors":"Molly Asher, Cristina Leston-Bandeira, V. Spaiser","doi":"10.1002/POI3.194","DOIUrl":null,"url":null,"abstract":"The U.K. Parliament introduced an e‐petitions system in 2015 with the aim of significantly enhancing its relationship with the public. We explore whether this aim is being met through the analysis of Twitter data from conversations on e‐petitions debated in parliament. We use natural language processing, machine learning, and social network analysis of Twitter data to explore what it shows about the extent of people's engagement, the contents of Twitter e‐petition conversations, who is taking part, and how they interact. Our findings provide interesting insights into how people perceive the e‐petition procedures in terms of fairness and responsiveness, suggesting that petition parliamentary debates should be more inclusive of the original petitions’ aims. The results also point to homophily tendencies present in the Twitter e‐petition discussions.","PeriodicalId":46894,"journal":{"name":"Policy and Internet","volume":" ","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2019-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/POI3.194","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Policy and Internet","FirstCategoryId":"98","ListUrlMain":"https://doi.org/10.1002/POI3.194","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 22
Abstract
The U.K. Parliament introduced an e‐petitions system in 2015 with the aim of significantly enhancing its relationship with the public. We explore whether this aim is being met through the analysis of Twitter data from conversations on e‐petitions debated in parliament. We use natural language processing, machine learning, and social network analysis of Twitter data to explore what it shows about the extent of people's engagement, the contents of Twitter e‐petition conversations, who is taking part, and how they interact. Our findings provide interesting insights into how people perceive the e‐petition procedures in terms of fairness and responsiveness, suggesting that petition parliamentary debates should be more inclusive of the original petitions’ aims. The results also point to homophily tendencies present in the Twitter e‐petition discussions.
期刊介绍:
Understanding public policy in the age of the Internet requires understanding how individuals, organizations, governments and networks behave, and what motivates them in this new environment. Technological innovation and internet-mediated interaction raise both challenges and opportunities for public policy: whether in areas that have received much work already (e.g. digital divides, digital government, and privacy) or newer areas, like regulation of data-intensive technologies and platforms, the rise of precarious labour, and regulatory responses to misinformation and hate speech. We welcome innovative research in areas where the Internet already impacts public policy, where it raises new challenges or dilemmas, or provides opportunities for policy that is smart and equitable. While we welcome perspectives from any academic discipline, we look particularly for insight that can feed into social science disciplines like political science, public administration, economics, sociology, and communication. We welcome articles that introduce methodological innovation, theoretical development, or rigorous data analysis concerning a particular question or problem of public policy.