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Picking the NYT Picks:
Editorial Criteria and Automation
in the Curation of Online News Comments
Nicholas Diakopoulos
Univ...
“NYT Picks is the most popular comment queue. We
spend a lot of time tweaking that and getting that
right.”
What are crite...
Criteria from Literature
Negative / Exclusion
Personal attacks, profanity, abusive
behavior
Positive / Inclusion Internal ...
Crowdsourcing
Argument Quality
Criticality
Emotionality
Entertainment Value
Readability
Personal Experience
Internal Coher...
Automation
Argument Quality
Criticality
Emotionality
Entertainment Value
Readability
Personal Experience
Internal Coherenc...
Automated scores point towards scalable
opportunities for moderation and UX…
But automation also raises questions about
over-generalization across contexts, and
algorithmic transparency
Questions?
Contact
Nick Diakopoulos
University of Maryland, College of Journalism
Twitter: @ndiakopoulos
Email: nad@umd.ed...
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  1. 1. Picking the NYT Picks: Editorial Criteria and Automation in the Curation of Online News Comments Nicholas Diakopoulos University of Maryland, College Park – College of Journalism @ndiakopoulos | nickdiakopoulos.com | nad@umd.edu
  2. 2. “NYT Picks is the most popular comment queue. We spend a lot of time tweaking that and getting that right.” What are criteria for selection? How can we augment moderator capability to consider more comments?
  3. 3. Criteria from Literature Negative / Exclusion Personal attacks, profanity, abusive behavior Positive / Inclusion Internal Coherence Thoughtfulness Brevity / Length Relevance Fairness / Diversity Novelty Argument Quality Criticality Emotionality Entertainment Value Readability Personal Experience
  4. 4. Crowdsourcing Argument Quality Criticality Emotionality Entertainment Value Readability Personal Experience Internal Coherence Thoughtfulness Brevity / Length Relevance Fairness / Diversity Novelty RQ1: Do “NYT Picks” comments reflect positive editorial criteria identified in literature?
  5. 5. Automation Argument Quality Criticality Emotionality Entertainment Value Readability Personal Experience Internal Coherence Thoughtfulness Brevity / Length Relevance Fairness / Diversity Novelty RQ2: Can algorithmic approaches to assessing criteria be developed?
  6. 6. Automated scores point towards scalable opportunities for moderation and UX…
  7. 7. But automation also raises questions about over-generalization across contexts, and algorithmic transparency
  8. 8. Questions? Contact Nick Diakopoulos University of Maryland, College of Journalism Twitter: @ndiakopoulos Email: nad@umd.edu Web: http://www.nickdiakopoulos.com More Info N. Diakopoulos. The Editor’s Eye: Curation and Comment Relevance on the New York Times. Proc. CSCW. March, 2015.

ISOJ 2015

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