Digitization of the Canadian Parliamentary Debates

Beelen, Kaspar; Alberdingk, Thijm, Timothy; Cochrane, Christopher; Halvemaan, Kees; Hirst, Graeme; Kimmins, Michael; Lijbrink, Sander; Marx, Maarten; Naderi, Nona; Rheault, Ludovic; Polyanovsky, Roman; Whyte, Tanya

doi:10.1017/s0008423916001165

Cited by 32 publications

(23 citation statements)

References 20 publications

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“…Compared with traditional content‐based analysis and hand‐coding of textual data sources, bibliometric analysis has several unique features, described as follows. First, it is especially suitable for dealing with a large‐scale dataset, while the effectiveness of adopting manual technologies is commonly restricted by the continuing growth of literature data (Lesnikowski et al , ), in particular, with the proliferation of “big data” (Beelen et al , ). In addition, results obtained by using bibliometric analysis can be more objective and reliable since it is more of a quantitative‐based technique, while the strategy of research protocols for content analysis usually depends on a priori determination of conceptual categories (Lesnikowski et al , ).…”

Section: Introductionmentioning

confidence: 99%

Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective

Chen¹,

Zou²,

Xie³

2020

Brit J Educational Tech

112

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The British Journal of Educational Technology (BJET) has been active in the field of educational technology since 1970. To celebrate its 50th anniversary and to demonstrate a comprehensive overview of the field, we conducted a bibliometric analysis of the 3710 publications in this journal from 1971 to 2018 as indexed in the Web of Science with full bibliographic information. This study aimed to (1) identify the publication and citation trends, (2) explore the distribution of paper types, (3) recognize the most relevant countries/regions, affiliations and authors, and (4) reveal relevant thematic features by analyzing publication abstracts and titles with the use of word cloud analysis and topic modeling analysis. The results highlighted several research hotspots and emerging topics such as Technology-enhanced classroom pedagogy, Blended learning, Online social communities, Mobile assisted language learning, Game-based learning and Socialized e-learning.

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Section: Introductionmentioning

confidence: 99%

Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective

Chen¹,

Zou²,

Xie³

2020

Brit J Educational Tech

112

View full text Add to dashboard Cite

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“…Finally, the Canadian Hansard corpus is described in Beelen et al. (2017) and released as linked and open data on . Each resource is enriched with a similar set of metadata about speakers, such as party affiliations and functions.…”

Section: Data and Software Implementationmentioning

confidence: 99%

Word Embeddings for the Analysis of Ideological Placement in Parliamentary Corpora

Rheault¹,

Cochrane²

2019

Polit. Anal.

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Word embeddings, the coefficients from neural network models predicting the use of words in context, have now become inescapable in applications involving natural language processing. Despite a few studies in political science, the potential of this methodology for the analysis of political texts has yet to be fully uncovered. This paper introduces models of word embeddings augmented with political metadata and trained on large-scale parliamentary corpora from Britain, Canada, and the United States. We fit these models with indicator variables of the party affiliation of members of parliament, which we refer to as party embeddings. We illustrate how these embeddings can be used to produce scaling estimates of ideological placement and other quantities of interest for political research. To validate the methodology, we assess our results against indicators from the Comparative Manifestos Project, surveys of experts, and measures based on roll-call votes. Our findings suggest that party embeddings are successful at capturing latent concepts such as ideology, and the approach provides researchers with an integrated framework for studying political language.

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“…We subset the data to include only the House of Representatives' speeches from Winter 1994 to Fall 2016. For the Canadian analysis, we collected debates from the House of Commons from Beelen et al (2017). We use the OpenParliament.ca PostgreSQL dump provided by Beelen et al (ibid), which covers speeches from 1994 and trim the US data accordingly.…”

Section: Comparative Case Study Approachmentioning

confidence: 99%

Migration Policy Framing in Political Discourse: Evidence from Canada and the USA

Hajdinjak

Morris

Amos

2019

Computational Social Sciences

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How do parties discuss migration policy in legislative speeches? Legislative bodies are an arena for verbal conflicts where the parties vie for their ideological interests but also sharpen new rhetorical figures. Political parties develop policy stances strategically different from those of competing parties and elucidate those stances through legislative debates and public statements. A large body of literature argues that some issues, like migration, fall in a gap between established societal cleavages over which parties do not have robust, issue-specific ownership. More recent research suggests migration may be a part of a new transnational cleavage that pits cosmopolitan sensibilities against nationalist sentiments in a conflict over issue ownership and policy framing. Building off this debate, we hypothesize that parties discuss migration topics by diverting attention to subcomponents of migration policy over which they have established issue ownership. Using machine learning techniques, we test this assertion by measuring the differences in salience and framing of migration-related topics over time in the debates of the lower houses of Canada and the United States-the Canadian House of Commons and the United States' House of Representatives from 1994 to 2016. We find that there are substantive differences in the emphasis on and framing of the migration policy between the two ideological blocks. Democrats in the USA and liberals in Canada emphasize subcomponents of the migration debate which they traditionally own, such as welfare and humanitarian aspects. Both conservative blocks do the same by framing their discussion of migration through a focus on security and legalistic aspect of migration. However, due to strong polarization in the USA, the differences in the emphasis on the issues traditionally owned by the two ideological camps are stronger in the USA than in Canada.

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Digitization of the Canadian Parliamentary Debates

Cited by 32 publications

References 20 publications

Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective

Fifty years of British Journal of Educational Technology: A topic modeling based bibliometric perspective

Word Embeddings for the Analysis of Ideological Placement in Parliamentary Corpora

Migration Policy Framing in Political Discourse: Evidence from Canada and the USA

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