E-petition Information Diffusion in Online Social Networks

Dumas, Catherine; Atrey, Akanksha; Lee, Joo-Yeon; Harrison, Teresa M.; Fake, Tim; Zhao, Xuezhi; Ravi, S. S.

doi:10.1145/2912160.2912227

Cited by 5 publications

(6 citation statements)

References 0 publications

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“…According to the results, peer influence and value-expressive influence have a positive influence on attitude, whereas utilitarian influence fails to shape attitude. The empirical evidence echoes one of the main trends of e-petition studies, which emphasizes the role of social media (Asher et al, 2019; C. L. Dumas et al, 2016; Vicente & Novo, 2014).…”

Section: Discussionsupporting

confidence: 55%

“…J. Carman, 2006; Hough, 2012; Lindner & Riehm, 2011), enable political participation (Alathur et al, 2012; Lee et al, 2014; Morva, 2016; Toland, 2011), the e-petition systems per se (Bershadskaya et al, 2013; C. Dumas et al, 2017; Leston-Bandeira, 2019; Wright, 2012), the role of social media (Asher et al, 2019; C. L. Dumas et al, 2016; Vicente & Novo, 2014), and the role of petition users (Hale et al, 2013; Jungherr & Jürgens, 2010; Puschmann et al, 2017; Ulo et al, 2019; Wright, 2015, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Dumas et al, 2017) and the content of petition description (Hagen et al, 2016). Meanwhile, the studies which are categorized as the role of social media usually emphasized the discussions of e-petitions on social networking sites (Asher et al, 2019) and the dissemination of relevant information (C. L. Dumas et al, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Most research relied on qualitative approaches such as case studies and interviews. Some analyzed the computational data generated by the e-petition platforms (C. L. Dumas et al, 2016; Hagen et al, 2016; Hale et al, 2013; Puschmann et al, 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

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International Political Efficacy Matters: A Dual-Pathway Model of Taiwanese Singing E-Petitions to Foreign Governments

Lin

2021

Social Science Computer Review

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Signing e-petitions to foreign authorities received little attention from scholars due to the constraint of the relationship between citizenship and sovereignty. Yet, Taiwanese people constantly attempt to create and sign e-petitions to other authorities, especially during the coronavirus pandemic. The current study aims to examine this phenomenon and proposes a new concept namely international political efficacy to explain their behavior. Expanded from political efficacy, international political efficacy refers to individuals’ perception of their knowledge and experience about international affairs and issues. Meanwhile, the current study develops a dual-pathway model which comprises of rational and emotional routes as the theoretical framework. Through a survey, the findings confirm that emotional route failed to shape the e-petition signing intention, whereas rational and collective action concerns dominated the process. International political efficacy was confirmed valid through empirical data, and it can contribute to the theory development.

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Section: Discussionsupporting

confidence: 55%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

International Political Efficacy Matters: A Dual-Pathway Model of Taiwanese Singing E-Petitions to Foreign Governments

Lin

2021

Social Science Computer Review

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“…Petitions are an excellent data source for understanding the concerns and priorities of citizens. They can be considered 'big data' as they contain large amounts of time-stamped granular transactional data and are available in real time (Dumas et al 2016). However, at present they are underutilized in social scientific research and government services.…”

Section: Comparison Between the Two Approachesmentioning

confidence: 99%

What, when and where of petitions submitted to the UK government during a time of chaos

Vidgen

Yasseri

2020

Policy Sci

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In times marked by political turbulence and uncertainty, as well as increasing divisiveness and hyperpartisanship, Governments need to use every tool at their disposal to understand and respond to the concerns of their citizens. We study issues raised by the UK public to the Government during 2015-2017 (surrounding the UK EU membership referendum), mining public opinion from a data set of 10,950 petitions, which contain 30.5 million signatures. We extract the main issues with a ground-up natural language processing method, latent Dirichlet allocation topic modelling. We then investigate their temporal dynamics and geographic features. We show that whilst the popularity of some issues is stable across the 2 years, others are highly influenced by external events, such as the referendum in June 2016. We also study the relationship between petitions' issues and where their signatories are geographically located. We show that some issues receive support from across the whole country, but others are far more local. We then identify six distinct clusters of constituencies based on the issues which constituents sign. Finally, we validate our approach by comparing the petitions' issues with the top issues reported in Ipsos MORI survey data. These results show the huge power of computationally analysing petitions to understand not only what issues citizens are concerned about but also when and from where.

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