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Corpus of Political Speeches: Policy responses to the Great Recession in the United Kingdom and Spain (2008-2014) ...
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Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona) ...
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[R] Source Code der Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona-Source) ...
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[R] Source Code der Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona-Source) ...
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Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona) ...
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Societal Narratives on Caregivers in Asia
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In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 21 (2021)
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Societal Age Stereotypes in the U.S. and U.K. from a Media Database of 1.1 Billion Words
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In: International Journal of Environmental Research and Public Health ; Volume 18 ; Issue 16 (2021)
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[R] Source Code der Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona-Source) ...
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Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona) ...
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[R] Source Code der Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona-Source) ...
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Corona-Rechtsprechung des Bundesverfassungsgerichts (BVerfG-Corona) ...
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Social Measurement and Causal Inference with Text
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In: Doctoral Dissertations (2021)
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Topics and emotions in Russian Twitter propaganda
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In: First Monday; Volume 24, Number 5 - 6 May 2019 ; 1396-0466 (2019)
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| 14 |
Quantitative Measurement of Parliamentary Accountability using Text as Data: the Canadian House of Commons, 1945-2015
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Abstract:
How accountable is Canada’s Westminster-style parliamentary system? Are minority parliaments more accountable than majorities, as contemporary critics assert? This dissertation develops a quantitative measurement approach to investigate parliamentary accountability using the text of speeches in Hansard, the historical record of proceedings in the Canadian House of Commons, from 1945-2015. The analysis makes a theoretical and methodological contribution to the comparative literature on legislative debate, as well as an empirical contribution to the Canadian literature on Parliament. I propose a trade-off model in which parties balance communication about goals of office-seeking (accountability) or policy-seeking (ideology) in their speeches. Assuming a constant context of speech, I argue that lexical similarity between government and opposition speeches is a valid measure of parliamentary accountability, while semantic similarity is an appropriate measure of ideological polarization. I develop a computational approach for measuring lexical and semantic similarity using word vectors and the doc2vec algorithm for word embeddings. To validate my measurement approach, I perform a qualitative case study of the 38th and 39th Parliaments, two successive minority governments with alternating governing parties. I find that similarity scores are positively related with the substantive quality of opposition questions and government responses. In the quantitative analysis phase, I study Question Periods from 1975-2010 and daily debates from 1945-2015 using the lexical similarity measurement. I find that minority parliaments are more account- able than majority governments since the 30th Parliament, but find no significant relationship between government seat percentage and parliamentary accountability. I show that Parliament becomes more accountable as a government’s popularity decreases. However, the data more strongly support a non-linear model. A structural break analysis yields one significant break at 33%: below this critical value, polling popularity and parliamentary accountability are positively related, and above, are negatively related. Finally, I confirm that the correlation between measures of lexical and semantic similarity varies in strength and direction across parliamentary sessions, suggesting two distinct generative processes are indeed at work. ; Ph.D.
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Keyword:
0615; accountability; Canadian politics; debate; text analysis; text as data
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URL: http://hdl.handle.net/1807/97711
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| 15 |
DARIAH Beyond Europe: an international exchange of ideas
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In: DARIAH-EU Annual Event 2018 ; https://hal.archives-ouvertes.fr/hal-01855684 ; DARIAH-EU Annual Event 2018, May 2018, Paris, France (2018)
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| 16 |
What Online Communities Can Tell Us About Electronic Cigarettes and Hookah Use: A Study Using Text Mining and Visualization Techniques.
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In: Journal of medical Internet research, vol 17, iss 9 (2015)
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| 17 |
Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.
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In: Journal of the American Medical Informatics Association : JAMIA, vol 22, iss 1 (2015)
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| 18 |
Grasping cities through literary representations: a mix of qualitative and quantitative approaches to analyze crime novels
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In: Historical Social Research ; 39 ; 2 ; 68-102 ; Spatial analysis (2015)
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