Gender Statistics in Policy Documents: Text-Mining Analysis

Measuring References to Gender Statistics
in Policy Documents through Text-Mining
 
 
Prof. Aude Bicquelet-Lock
@AudeLock
aude.bicquelet@rtpi.org.uk
 
Supporting the production and
measuring the use of official gender
statistics
Expert Meeting
01-02 October 2019, Paris
 
Research Question: 
Do men and women express similar (or different) types of arguments in
parliamentary debates?
 
 
Data: 
Second reading debates about abortion
            1966-1988 (UK House of Commons)
 
 
Methods: 
Cluster Analysis
                     Correspondence Analysis
                     Descending hierarchical classification
 
 
 
i.e.
 Bicquelet Aude, Albert Weale, Judith Bara ‘In a Different Parliamentary Voice?’ 
Politics &
Gender, 
(2012) 8 -1. 83-121.
 Text-Mining and Gender differences in Parliamentary Speeches
Text-Mining and Gender differences in Parliamentary Speeches:
Findings
 
 
Women use a larger array of rhetorical
strategies than men.
 
 
Political alignment does not seem to
influence the way arguments are
framed.
 
 
Few differences between vocabulary
and rhetorical strategies used by
Women and Men.
 
Text-Mining Methods
 
Enumerative Content Analysis
Simply establish the presence/absence of words/concepts in a text.
Useful to assess references to Gender, Women and Equality in Official Policy Documents.
 
i.e.
 
Women and Core Strategies 
(K. Horwood).
Looks at how documents produced by planning authorities in England engage with women,
gender and broader equalities.
 
Exploratory 
v.
 Dictionary-Based approaches
 
Hamlet (dictionary-based) v. Alceste (exploratory CA)
Compare outputs of Abortion debates analysis
 
 
i.e. 
Judith Bara, Albert Weale, Aude Bicquelet. ‘Analysing Parliamentary Debates with
Computer Assistance’ Swiss Political Science Review (2007)  13 -4: 577-605.
Designing Key Terms lists, dictionaries and index…
 
Using techniques from Summative Content Analysis
 
1.
Exploratory Phase (Cluster Analysis, FA, HDC)
2.
Interpretative exercise (Robustness check)
 
Advantages
Generate classification ‘free’ from preconceptions
Produce fast results
High reliability/ replicability
Minimize danger to overlook valuable information
 
 
i.e.
 Bicquelet Aude, Helen Addison. ‘How to refuse a vote on the EU? The case against the
referendum in the House of Commons’ (1974-2010) (2016) 
Quality & Quantity.
Designing Key Terms lists, dictionaries and index…
Law - Justice
Constitutional issues
Procedural language
Referendum
Economic issues
Agriculture
 
Parliamentary debates
(Schonhardt-Bailey 2008; Weale et al. 2012; Bara et al. 2007)
Public consultations
(Bicquelet and Weale 2011 - National Institute for Health and Care Excellence)
Political Manifestos
(Bicquelet, 2007)
 
Open-ended Questionnaires
(Brugidou 2003; Lahlou 1996)
 
Social Media
(Bicquelet, 2017 – Comments posted under YouTube videos)
 
 
 
Exploratory CA Applications
 
 
 
Bicquelet, A. (2017).‘Using Online Mining Techniques to inform Formative Evaluations: An Analysis of
YouTube Video Comments about Chronic Pain’ Evaluation.
Bicquelet, A. & Weale, A. (2011), ‘Coping with the cornucopia: Can Text Mining Help Handle the Data
Deluge in Public Policy Analysis?’ 
Policy & Internet (Vol.3, N.4) 
Brugidou, M. (2003) ‘Argumentation and Values: An Analysis of Ordinary Political Competence via an
Open-Ended Question’ 
International Journal of Public Opinion 
Research, 
15:4, pp. 413- 430.
Guérin-Pace, F (1998) ‘Textual Statistics. An Exploratory Tool for the Social Sciences’, 
New
Methodological
 
Approaches in the Social Sciences
, 10:1, pp. 73-95.
Lahlou, S. (1996) A Method to Extract Social Representations from Linguistic Corpora.
Japanese Journal of Experimental Social Psychology
. 36:1, pp. 278–291.
Schonhardt-Bailey, C. (2005) ‘Measuring Ideas More Effectively: An Analysis of 
 
Bush and Kerry's
National Security Speeches’, 
PS: Political Science and 
 
Politics
, 38:3, pp. 701-711.
 
Schonhardt-Bailey, C. (2008), The congressional debate on partial-birth abortion: Constitutional gravitas
and moral passion. 
British Journal of Political Science
 (38:383–410).
 
 
 
Resources
 
 
 
 
 
 
Thank you
 
 
 
 
 
 
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This text explores the use of gender statistics in policy documents through text-mining techniques. It discusses gender differences in parliamentary speeches, focusing on the types of arguments expressed by men and women. The findings reveal insights into rhetorical strategies employed, political alignment influences, and vocabulary differences between genders. The analysis also delves into the methods of text-mining, enumerative content analysis, and designing key terms lists for generating classification in official policy documents.

  • Gender Statistics
  • Text-Mining
  • Parliamentary Speeches
  • Policy Documents
  • Gender Differences

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  1. Measuring References to Gender Statistics in Policy Documents through Text-Mining Supporting the production and measuring the use of official gender statistics Expert Meeting 01-02 October 2019, Paris Prof. Aude Bicquelet-Lock aude.bicquelet@rtpi.org.uk @AudeLock

  2. Text-Mining and Gender differences in Parliamentary Speeches Research Question: Do men and women express similar (or different) types of arguments in parliamentary debates? Data: Second reading debates about abortion 1966-1988 (UK House of Commons) Methods: Cluster Analysis Correspondence Analysis Descending hierarchical classification i.e. Bicquelet Aude, Albert Weale, Judith Bara In a Different Parliamentary Voice? Politics & Gender, (2012) 8 -1. 83-121.

  3. Text-Mining and Gender differences in Parliamentary Speeches: Findings Women use a larger array of rhetorical strategies than men. Political alignment does not seem to influence the way arguments are framed. Few differences between vocabulary and rhetorical strategies used by Women and Men.

  4. Text-Mining Methods Enumerative Content Analysis Simply establish the presence/absence of words/concepts in a text. Useful to assess references to Gender, Women and Equality in Official Policy Documents. i.e.Women and Core Strategies (K. Horwood). Looks at how documents produced by planning authorities in England engage with women, gender and broader equalities. Exploratory v. Dictionary-Based approaches Hamlet (dictionary-based) v. Alceste (exploratory CA) Compare outputs of Abortion debates analysis i.e. Judith Bara, Albert Weale, Aude Bicquelet. Analysing Parliamentary Debates with Computer Assistance Swiss Political Science Review (2007) 13 -4: 577-605.

  5. Designing Key Terms lists, dictionaries and index Using techniques from Summative Content Analysis 1. Exploratory Phase (Cluster Analysis, FA, HDC) 2. Interpretative exercise (Robustness check) Advantages Generate classification free from preconceptions Produce fast results High reliability/ replicability Minimize danger to overlook valuable information i.e. Bicquelet Aude, Helen Addison. How to refuse a vote on the EU? The case against the referendum in the House of Commons (1974-2010) (2016) Quality & Quantity.

  6. Designing Key Terms lists, dictionaries and index

  7. Exploratory CA Applications Parliamentary debates (Schonhardt-Bailey 2008; Weale et al. 2012; Bara et al. 2007) Public consultations (Bicquelet and Weale 2011 - National Institute for Health and Care Excellence) Political Manifestos (Bicquelet, 2007) Open-ended Questionnaires (Brugidou 2003; Lahlou 1996) Social Media (Bicquelet, 2017 Comments posted under YouTube videos)

  8. Resources Bicquelet, A. (2017). Using Online Mining Techniques to inform Formative Evaluations: An Analysis of YouTube Video Comments about Chronic Pain Evaluation. Bicquelet, A. & Weale, A. (2011), Coping with the cornucopia: Can Text Mining Help Handle the Data Deluge in Public Policy Analysis? Policy & Internet (Vol.3, N.4) Brugidou, M. (2003) Argumentation and Values: An Analysis of Ordinary Political Competence via an Open-Ended Question International Journal of Public Opinion Research, 15:4, pp. 413- 430. Gu rin-Pace, F (1998) Textual Statistics. An Exploratory Tool for the Social Sciences , New MethodologicalApproaches in the Social Sciences, 10:1, pp. 73-95. Lahlou, S. (1996) A Method to Extract Social Representations from Linguistic Corpora. Japanese Journal of Experimental Social Psychology. 36:1, pp. 278 291. Schonhardt-Bailey, C. (2005) Measuring Ideas More Effectively: An Analysis of Bush and Kerry's National Security Speeches , PS: Political Science and Politics, 38:3, pp. 701-711. Schonhardt-Bailey, C. (2008), The congressional debate on partial-birth abortion: Constitutional gravitas and moral passion. British Journal of Political Science (38:383 410).

  9. Thank you

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