The Economic and Electoral Consequences of Austerity Policies in Britain

Whiteley, Paul; Clarke, Harold D.; Sanders, David; Stewart, Marianne C.

doi:10.1093/pa/gsu015

Cited by 11 publications

(3 citation statements)

References 9 publications

(11 reference statements)

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“…Britain is undergoing the most extensive reduction and restructuring of its welfare state since the Second World War (Yeates, Haux et al 2011); (Taylor-Gooby and Stoeker 2010); (Taylor-Gooby 2011); (Whitely, Clarke et al 2014). During the five-year Conservative-Liberal Democrat Coalition Government from 2010 to 2015, £80 billion spending cuts were announced that included £18 billion reduction in welfare spending (Brewer and Browne 2011 4).…”

Section: Context Cases and Methodsmentioning

confidence: 99%

Caring subjects: migrant women and the third sector in England and Scotland

Bassel

Emejulu

2017

Ethnic and Racial Studies

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Section: Context Cases and Methodsmentioning

confidence: 99%

Caring subjects: migrant women and the third sector in England and Scotland

Bassel

Emejulu

2017

Ethnic and Racial Studies

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“…A similar report in 2014 found very similar figures [24]. With welfare and immigration regularly ranking high on election priorities [31] this shows that the media have not adequately informed the public of the information they need to properly participate in democracy.…”

Section: Introductionmentioning

confidence: 90%

Identifying Similar Opinions in News Comments Using a Community Detection Algorithm

Scott

Millard

Leonard

2015

Lecture Notes in Computer Science

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Abstract. Despite playing many important roles in society, the news media have been frequently criticised for failing to represent a wide range of viewpoints. Online news systems have the potential to allow readers to add additional information and perspectives. However, due to the simplicity of the filtering mechanisms typically employed, these systems can themselves be prone to over-promoting popular viewpoints at the expense of others. Previous research has attempted to diversify news comments through the use of content similarity, sentiment analysis, named entity recognition, and other factors. In this paper we propose the use of a commonly used community detection algorithm on a network of voting data to identify sentiment groups in news discussion threads, with the eventual goal that these groups may be used to present diverse content. In a controlled experiment with 154 participants, we verify that the Louvain Community Detection algorithm is able to group users with accuracy comparable to an average human. This produces groups containing users who share similar sentiment on a given topic. This is an important step towards ensuring that each group is represented, as by using this method future news systems can ensure that more diverse views are represented in open comment threads.

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“…Using data for the period 2004-2013, Whiteley et al (2015) assessed how each government's rating for economic management correlated with political support, measured by voting intentions. They found that there had been a strong relationship during Labour's term of office but, at the time they did their analysis, the Coalition did not appear to be benefiting from the nascent improvement in the economy.…”

Section: Competence and Partisanshipmentioning

confidence: 99%