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Date: 29-11-2018
Dr. Corina Koolen
Gender and the Riddle of Literary Quality
University of Antwerp
Corina Koolen
• Postdoc at Huygens Institute for the history of
the Netherlands (now part of KNAW
Humanities Cluster) in The Riddle of Literary
Quality
• Thesis: Reading beyond the female
• Next year: Dutch version for the larger public
@corinakoolen
Social media
• Blog: www.corinakoolen.nl
• Twitter: @corinakoolen
• Slideshare:
https://www.slideshare.net/CorinaKoolen/
Get this presentation here:
@corinakoolen
Outline
- The Riddle of Literary Quality project
- The National Reader Survey (NLO)
- NLO: F vs. M
- Exploration potential causes gap:
- Bias
- Textual differences
@corinakoolen
@corinakoolen
@corinakoolen
Relationship scores – text
Model based on expectations of ‘literary’
characteristics
@corinakoolen
Features - textual
• Sentence length
• Bigrams
• Number of clichés
• Etc.
@corinakoolen
Features - extra-textual
• Genre
• Gender
• Translation yes/no
@corinakoolen
Correlation between text and average rating
@corinakoolen
NLO: F vs. M
@corinakoolen
Female authors score significantly lower
Literary quality:
• Overall
• Romantic novels lowest average overall
• Literary genre
(Suspense only differed on overall quality)
@corinakoolen
‘Literary’ novels
5.9 6.3 6.66.0
@corinakoolen
Respondent motivation De Moor
“[H]et verhaal was matig, taalkundig gezien was
het niet goed. Absoluut niet boeiend. Het stijgt
niet uit boven een bouquetreeks roman.
onbegrijpelijk dat dit boek een prijs gewonnen
heeft.”
“[T]he story was mediocre, linguistically it was
not good. Not compelling at all. It does not
rise above the Mills and Boon novel.
Incomprehensible that this book has won a
prize.”
@corinakoolen
Respondent motivation Gilbert
“Wat een zeikwijf zeg, die Elizabeth.”
“What a whining bitch, that Elizabeth.”
@corinakoolen
Dutch literary world at large
Potential cause 1: bias
- Series of qualitative experiments
@corinakoolen
A. Author gender
- 1 text of 250 words (by author Emy Koopman)
- 3 groups
- Group 1: author is male
- Group 2: author is female
- Group 3: there’s an author
- Score on literary quality (1-7)
- ANOVA: no significant differences
@corinakoolen
B. Prestige – further research
- Gender characters – gender author
- Authors’ praise on blurb
@corinakoolen
Potential cause 2: textual
@corinakoolen
Writing style differences
@corinakoolen
Three models
- SVM classification
- LIWC scores
- Topic model
@corinakoolen
Topic model
@corinakoolen
xkcd sums it up?
@corinakoolen
Closer read
@corinakoolen
Case: women, body, appearance
“It would not be an exaggeration to say that the
leitmotif of the unruly body (…) that needs
constant disciplining is constitutive of the
chick lit novel.” -- Gill and Herdieckerhoff
(2006)
@corinakoolen
Topic: descriptions of physical
appearance
@corinakoolen
In sum
- Looking into literary quality, we found:
- Textual patterns
- Female authors lagging behind
- Looking at potential causes for gap, we found:
- It is not just author gender but more likely:
- Complicated interaction text – author gender – bias
(= tacit assumptions and extrapolation based on
gender)
@corinakoolen
The End
Pilot study
• 36 novels
• 12 general fiction, high scores, male author
• 12 general fiction, high scores, female author
• 12 romantic fiction, low scores, female author
• 10 translated from English, 2 originally Dutch
• + Gilbert’s Eat, Pray, Love in exp. 1
@corinakoolen
Computational analysis: stylometry
• Method in Eder (2017)
• Stylo
• Bootstrap consensus tree: 100-1000 MFW
• Classic Delta distance
• Gephi
• Modularity
• Force Atlas2
@corinakoolen
@corinakoolen

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Gender and the Riddle of Literary Quality

  • 1. Date: 29-11-2018 Dr. Corina Koolen Gender and the Riddle of Literary Quality University of Antwerp
  • 2. Corina Koolen • Postdoc at Huygens Institute for the history of the Netherlands (now part of KNAW Humanities Cluster) in The Riddle of Literary Quality • Thesis: Reading beyond the female • Next year: Dutch version for the larger public @corinakoolen
  • 3. Social media • Blog: www.corinakoolen.nl • Twitter: @corinakoolen • Slideshare: https://www.slideshare.net/CorinaKoolen/ Get this presentation here: @corinakoolen
  • 4. Outline - The Riddle of Literary Quality project - The National Reader Survey (NLO) - NLO: F vs. M - Exploration potential causes gap: - Bias - Textual differences @corinakoolen
  • 5.
  • 7.
  • 9. Relationship scores – text Model based on expectations of ‘literary’ characteristics @corinakoolen
  • 10. Features - textual • Sentence length • Bigrams • Number of clichés • Etc. @corinakoolen
  • 11. Features - extra-textual • Genre • Gender • Translation yes/no @corinakoolen
  • 12. Correlation between text and average rating @corinakoolen
  • 13. NLO: F vs. M @corinakoolen
  • 14. Female authors score significantly lower Literary quality: • Overall • Romantic novels lowest average overall • Literary genre (Suspense only differed on overall quality) @corinakoolen
  • 15. ‘Literary’ novels 5.9 6.3 6.66.0 @corinakoolen
  • 16. Respondent motivation De Moor “[H]et verhaal was matig, taalkundig gezien was het niet goed. Absoluut niet boeiend. Het stijgt niet uit boven een bouquetreeks roman. onbegrijpelijk dat dit boek een prijs gewonnen heeft.” “[T]he story was mediocre, linguistically it was not good. Not compelling at all. It does not rise above the Mills and Boon novel. Incomprehensible that this book has won a prize.” @corinakoolen
  • 17. Respondent motivation Gilbert “Wat een zeikwijf zeg, die Elizabeth.” “What a whining bitch, that Elizabeth.” @corinakoolen
  • 19. Potential cause 1: bias - Series of qualitative experiments @corinakoolen
  • 20. A. Author gender - 1 text of 250 words (by author Emy Koopman) - 3 groups - Group 1: author is male - Group 2: author is female - Group 3: there’s an author - Score on literary quality (1-7) - ANOVA: no significant differences @corinakoolen
  • 21. B. Prestige – further research - Gender characters – gender author - Authors’ praise on blurb @corinakoolen
  • 22. Potential cause 2: textual @corinakoolen
  • 24. Three models - SVM classification - LIWC scores - Topic model @corinakoolen
  • 26. xkcd sums it up? @corinakoolen
  • 28. Case: women, body, appearance “It would not be an exaggeration to say that the leitmotif of the unruly body (…) that needs constant disciplining is constitutive of the chick lit novel.” -- Gill and Herdieckerhoff (2006) @corinakoolen
  • 29. Topic: descriptions of physical appearance @corinakoolen
  • 30. In sum - Looking into literary quality, we found: - Textual patterns - Female authors lagging behind - Looking at potential causes for gap, we found: - It is not just author gender but more likely: - Complicated interaction text – author gender – bias (= tacit assumptions and extrapolation based on gender) @corinakoolen
  • 32. Pilot study • 36 novels • 12 general fiction, high scores, male author • 12 general fiction, high scores, female author • 12 romantic fiction, low scores, female author • 10 translated from English, 2 originally Dutch • + Gilbert’s Eat, Pray, Love in exp. 1 @corinakoolen
  • 33. Computational analysis: stylometry • Method in Eder (2017) • Stylo • Bootstrap consensus tree: 100-1000 MFW • Classic Delta distance • Gephi • Modularity • Force Atlas2 @corinakoolen