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Digital Enterprise Research Institute                                                     www.deri.ie




               Building a Standpoints Web to Support
                    Decision-Making in Wikipedia

                                                                         Jodi Schneider



   Doctoral Colloquium at CSCW 2012
   2012-02-12
   Seattle, Washington
© Copyright 2010 Digital Enterprise Research Institute. All rights reserved.
What I’m looking for
Digital Enterprise Research Institute                  www.deri.ie



           Scoping & focus
           Detailed mentoring on CSCW/HCC methodologies
                 Interviewing
                 Qualitative Research
                 Statistics
           Suggestions for evaluating my work




                                         2
Digital Enterprise Research Institute       www.deri.ie




                                        3
Should we delete this article?
Digital Enterprise Research Institute       www.deri.ie




                                        4
Improving deletion discussions
Digital Enterprise Research Institute                           www.deri.ie



           Main problems:
                 Newcomers who don’t know how to argue
                 Overwhelm of long discussions
                 Discussions that happen over and over again
           Deletion as quality control
           Large number of discussions - ~500/week




                                        5
Deletion argument
Digital Enterprise Research Institute                                www.deri.ie




                                            [Delete the article]...hasn't
                                              played since 2008. His
                                              66-73 record is far from
                                              stellar and, in my opinion,
                                              does not merit an article.

                                            >>He pitched last month and
                                              plays for the Venezuelan
                                              League. This meets our
                                              article criteria.


                                        6
Goals
Digital Enterprise Research Institute                                    www.deri.ie



           Newcomers who don’t know how to argue
                 Characterize the “good” and “bad” arguments
                 Develop argument templates
                 Provide guidance and support for new users in properly
                  structuring arguments according to Wikipedia’s rhetorical
                  standards
           Overwhelm of long discussions
                 Develop a claims/argument explorer
           Discussions that happen over and over again
                 Prototype an argument bot
                 Populate argument maps with mixed-initiative claims
                  extraction


                                        7
Overview
Digital Enterprise Research Institute                                    www.deri.ie



           Corpus:
                 All Wikipedia deletion discussions from January 29, 2011
           Perspectives/approaches:
                 Argumentation
                 CSCW/HCC
                 Text analytics
                 Ontologies/Social Semantic Web




                                        8
Current work
Digital Enterprise Research Institute                                www.deri.ie

           Analysis of the corpus
                 Argument schemes (e.g. expert opinion)
                 Factors (e.g. notability, uniqueness)
                 Newcomer’s arguments
           Interviews
                 Administrators
                 Experienced users
           Argument exploration
                 Text mining cue words (‘however’, ‘therefore’,…)
           Architecture
                 Ontology development
                 “Standpoints Web”

                                         9
Standpoint
Digital Enterprise Research Institute                                 www.deri.ie




                                             [Delete the article]...hasn't
                                               played since 2008. His
                                               66-73 record is far from
                                               stellar and, in my opinion,
                                               does not merit an article.

                                             Proposition: does not merit
                                               an article
                                             Justification: hasn’t played
                                               since 2008, bad record


                                        10
Opposing standpoint
Digital Enterprise Research Institute                                  www.deri.ie




                                             >>He pitched last month and
                                               plays for the Venezuelan
                                               League. This meets our
                                               article criteria.



                                             Proposition: keep the article
                                             Justification: meets our article
                                               criteria



                                        11
Possible applications
Digital Enterprise Research Institute                      www.deri.ie



           Visualize decision-making
           Highlight controversies
           Query opinions and arguments
           Discuss arguments interactively with a bot
           Calculate the “best” options
           Analyze, extract, and represent disagreement




                                        13
Thanks!
Digital Enterprise Research Institute       www.deri.ie




       jodi.schneider@deri.org
       http://jodischneider.com/jodi.html
       @jschneider
Acknowledgments
Digital Enterprise Research Institute                                       www.deri.ie



           Thanks to our collaborators!
                 Katie Atkinson, Trevor Bench-Capon, Adam Wyner (Liverpool)
                 DERI Social Software Unit
                 Rhetorical Structure, W3C Health Care and Life Sciences


           Funding
                 Science Foundation Ireland Grant No. SFI/08/CE/I1380
                  (Líon-2)
                 Short-term scientific mission (STSM 1868) from the COST
                  Action ICO801 on Agreement Technologies




                                         15
Digital Enterprise Research Institute   www.deri.ie
“ELIZA for arguments”
Digital Enterprise Research Institute                                                      www.deri.ie




 Snaith, Lawrence, & Reed, “Mixed initiative argument in public deliberation,” ODET 2010



                                                          17
Highlight Controversies
Digital Enterprise Research Institute                                                             www.deri.ie




                     Ennals, R., Trushkowsky, B., & Agosta, J. M. (2010). Highlighting Disputed
                     Claims on the Web. In WICOW at WWW 2010.
Transform Debates into
          Argument Frameworks
Digital Enterprise Research Institute                                          www.deri.ie



                       (1) Households should pay tax for
                          their garbage.



                       (4) (1)
                          Paying tax for garbage increases
                          recycling, so households should     Arrow: premise
                          pay.

                        (3) (1)
                                                              Wyner, van Engers, & Bahreini.
                       Recycling more is good, so people      From Policy-making Statements
                                                              to First-order Logic.
                          should pay tax for their garbage.   EGOV 2010


                                        19
Calculate best options
       (non-contradictory opinions)
Digital Enterprise Research Institute                                               www.deri.ie




                                             Wyner, van Engers, & Bahreini.
                                             From Policy-making Statements to First-order Logic.

                                             EGOV 2010


                                        20
Claims Extraction
Digital Enterprise Research Institute                       www.deri.ie



           Cue words (“Hence Jaffa Cakes are cakes.”) [Marcu]
           Rhetorical Structure Theory
Claims Extraction
Important Relationships
Digital Enterprise Research Institute        www.deri.ie



           Attacks
           Supports




                                        23
Case Study
Digital Enterprise Research Institute                     www.deri.ie



          Understand:
           interviews, observation, and content analysis
          Intervene:
           Implement & test the Standpoints Web architecture
           on Wikipedia deletion discussions
          Evaluation:
           Community feedback
           Ontology fitness-for-purpose
           Precision & recall?




                                        25
Digital Enterprise Research Institute                     www.deri.ie



           Problem
           Possible Uses of a Knowledge Representation
           Concrete Examples
           Some Current Directions




                                        26
The Problem
Digital Enterprise Research Institute                      www.deri.ie



           The Web is full of opinions & commentary.
           A lot of it disagrees.
           How do we learn from other people, when they
            disagree?




                                        27
My Approach
Digital Enterprise Research Institute                      www.deri.ie



           Identify peoples’ views
           Collect the explanations people give
           Create a hypertext web of these views & explanations




                                        28
Two Persuasive Messages
Digital Enterprise Research Institute        www.deri.ie




                                        29
Why: Walton’s dialogue types
Digital Enterprise Research Institute        www.deri.ie




                                        30
Knowledge-based Claims Vary
Digital Enterprise Research Institute                    www.deri.ie



           Use of statistics & impersonal information




                                        31
Versus personal appeals…
Digital Enterprise Research Institute                         www.deri.ie



           Where opinions and personal values are explicit




                                        32
Why: Knowledge, Emotion, Values
as a Proxy
Digital Enterprise Research Institute        www.deri.ie




                                        33
Purpose-related keywords
Digital Enterprise Research Institute                                www.deri.ie



                                                Knowledge
                                                    statistics
                                                Values
                                                    truth
                                                    secret
                                                Rhetoric
                                                    you can thank
                                                Judgment/Opinion
                                                    eradicate
                                                    tough
                                                    rejecting


                                        34
Purpose matters
Digital Enterprise Research Institute                           www.deri.ie



           Knowledge-oriented discussions are straightforward
            to reuse
           Opinion-oriented discussion types may require
            caveating or balancing
                 emotion makes a discussion more interesting
                 can also indicate the potential for bias.




                                          35
Twitter: Standpoint
Digital Enterprise Research Institute                          www.deri.ie




       Difference between cakes and biscuits? When stale,
         cakes go hard, biscuits go soft. Hence Jaffa Cakes
         are cakes. (Was official EU ruling).



       View: Jaffa Cakes are cakes
       Justification: official EU ruling; go hard when stale

                                        36
Visualize
Digital Enterprise Research Institute   www.deri.ie




   bCisive

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Building a-standpoints-web-to-support-decision-making-in-wikipedia--cscw2012-doctoral-colloquium

  • 1. Digital Enterprise Research Institute www.deri.ie Building a Standpoints Web to Support Decision-Making in Wikipedia Jodi Schneider Doctoral Colloquium at CSCW 2012 2012-02-12 Seattle, Washington © Copyright 2010 Digital Enterprise Research Institute. All rights reserved.
  • 2. What I’m looking for Digital Enterprise Research Institute www.deri.ie  Scoping & focus  Detailed mentoring on CSCW/HCC methodologies  Interviewing  Qualitative Research  Statistics  Suggestions for evaluating my work 2
  • 3. Digital Enterprise Research Institute www.deri.ie 3
  • 4. Should we delete this article? Digital Enterprise Research Institute www.deri.ie 4
  • 5. Improving deletion discussions Digital Enterprise Research Institute www.deri.ie  Main problems:  Newcomers who don’t know how to argue  Overwhelm of long discussions  Discussions that happen over and over again  Deletion as quality control  Large number of discussions - ~500/week 5
  • 6. Deletion argument Digital Enterprise Research Institute www.deri.ie [Delete the article]...hasn't played since 2008. His 66-73 record is far from stellar and, in my opinion, does not merit an article. >>He pitched last month and plays for the Venezuelan League. This meets our article criteria. 6
  • 7. Goals Digital Enterprise Research Institute www.deri.ie  Newcomers who don’t know how to argue  Characterize the “good” and “bad” arguments  Develop argument templates  Provide guidance and support for new users in properly structuring arguments according to Wikipedia’s rhetorical standards  Overwhelm of long discussions  Develop a claims/argument explorer  Discussions that happen over and over again  Prototype an argument bot  Populate argument maps with mixed-initiative claims extraction 7
  • 8. Overview Digital Enterprise Research Institute www.deri.ie  Corpus:  All Wikipedia deletion discussions from January 29, 2011  Perspectives/approaches:  Argumentation  CSCW/HCC  Text analytics  Ontologies/Social Semantic Web 8
  • 9. Current work Digital Enterprise Research Institute www.deri.ie  Analysis of the corpus  Argument schemes (e.g. expert opinion)  Factors (e.g. notability, uniqueness)  Newcomer’s arguments  Interviews  Administrators  Experienced users  Argument exploration  Text mining cue words (‘however’, ‘therefore’,…)  Architecture  Ontology development  “Standpoints Web” 9
  • 10. Standpoint Digital Enterprise Research Institute www.deri.ie [Delete the article]...hasn't played since 2008. His 66-73 record is far from stellar and, in my opinion, does not merit an article. Proposition: does not merit an article Justification: hasn’t played since 2008, bad record 10
  • 11. Opposing standpoint Digital Enterprise Research Institute www.deri.ie >>He pitched last month and plays for the Venezuelan League. This meets our article criteria. Proposition: keep the article Justification: meets our article criteria 11
  • 12.
  • 13. Possible applications Digital Enterprise Research Institute www.deri.ie  Visualize decision-making  Highlight controversies  Query opinions and arguments  Discuss arguments interactively with a bot  Calculate the “best” options  Analyze, extract, and represent disagreement 13
  • 14. Thanks! Digital Enterprise Research Institute www.deri.ie jodi.schneider@deri.org http://jodischneider.com/jodi.html @jschneider
  • 15. Acknowledgments Digital Enterprise Research Institute www.deri.ie  Thanks to our collaborators!  Katie Atkinson, Trevor Bench-Capon, Adam Wyner (Liverpool)  DERI Social Software Unit  Rhetorical Structure, W3C Health Care and Life Sciences  Funding  Science Foundation Ireland Grant No. SFI/08/CE/I1380 (Líon-2)  Short-term scientific mission (STSM 1868) from the COST Action ICO801 on Agreement Technologies 15
  • 16. Digital Enterprise Research Institute www.deri.ie
  • 17. “ELIZA for arguments” Digital Enterprise Research Institute www.deri.ie Snaith, Lawrence, & Reed, “Mixed initiative argument in public deliberation,” ODET 2010 17
  • 18. Highlight Controversies Digital Enterprise Research Institute www.deri.ie Ennals, R., Trushkowsky, B., & Agosta, J. M. (2010). Highlighting Disputed Claims on the Web. In WICOW at WWW 2010.
  • 19. Transform Debates into Argument Frameworks Digital Enterprise Research Institute www.deri.ie (1) Households should pay tax for their garbage. (4) (1) Paying tax for garbage increases recycling, so households should Arrow: premise pay. (3) (1) Wyner, van Engers, & Bahreini. Recycling more is good, so people From Policy-making Statements to First-order Logic. should pay tax for their garbage. EGOV 2010 19
  • 20. Calculate best options (non-contradictory opinions) Digital Enterprise Research Institute www.deri.ie Wyner, van Engers, & Bahreini. From Policy-making Statements to First-order Logic. EGOV 2010 20
  • 21. Claims Extraction Digital Enterprise Research Institute www.deri.ie  Cue words (“Hence Jaffa Cakes are cakes.”) [Marcu]  Rhetorical Structure Theory
  • 23. Important Relationships Digital Enterprise Research Institute www.deri.ie  Attacks  Supports 23
  • 24.
  • 25. Case Study Digital Enterprise Research Institute www.deri.ie  Understand: interviews, observation, and content analysis  Intervene: Implement & test the Standpoints Web architecture on Wikipedia deletion discussions  Evaluation: Community feedback Ontology fitness-for-purpose Precision & recall? 25
  • 26. Digital Enterprise Research Institute www.deri.ie  Problem  Possible Uses of a Knowledge Representation  Concrete Examples  Some Current Directions 26
  • 27. The Problem Digital Enterprise Research Institute www.deri.ie  The Web is full of opinions & commentary.  A lot of it disagrees.  How do we learn from other people, when they disagree? 27
  • 28. My Approach Digital Enterprise Research Institute www.deri.ie  Identify peoples’ views  Collect the explanations people give  Create a hypertext web of these views & explanations 28
  • 29. Two Persuasive Messages Digital Enterprise Research Institute www.deri.ie 29
  • 30. Why: Walton’s dialogue types Digital Enterprise Research Institute www.deri.ie 30
  • 31. Knowledge-based Claims Vary Digital Enterprise Research Institute www.deri.ie  Use of statistics & impersonal information 31
  • 32. Versus personal appeals… Digital Enterprise Research Institute www.deri.ie  Where opinions and personal values are explicit 32
  • 33. Why: Knowledge, Emotion, Values as a Proxy Digital Enterprise Research Institute www.deri.ie 33
  • 34. Purpose-related keywords Digital Enterprise Research Institute www.deri.ie  Knowledge  statistics  Values  truth  secret  Rhetoric  you can thank  Judgment/Opinion  eradicate  tough  rejecting 34
  • 35. Purpose matters Digital Enterprise Research Institute www.deri.ie  Knowledge-oriented discussions are straightforward to reuse  Opinion-oriented discussion types may require caveating or balancing  emotion makes a discussion more interesting  can also indicate the potential for bias. 35
  • 36. Twitter: Standpoint Digital Enterprise Research Institute www.deri.ie Difference between cakes and biscuits? When stale, cakes go hard, biscuits go soft. Hence Jaffa Cakes are cakes. (Was official EU ruling). View: Jaffa Cakes are cakes Justification: official EU ruling; go hard when stale 36
  • 37. Visualize Digital Enterprise Research Institute www.deri.ie bCisive

Editor's Notes

  1. Screenshot of the article Heath Totten
  2. 72/day on average
  3. Adding funding/collaborators slide.
  4. Mixed-initiative Generate argument maps from conversations (Arvina, MAgtALO) Populate a knowledge base Maybe change your views
  5. They don’t say how they extracted these – but they say Someone makes statement (1) Someone else gives (4) as a reason/premise for (1) Someone else gives (3) as an additional reason for (1) (2) Is a counterproposal with a range of supporting reasons === Icons: http://findicons.com/icon/27954/girl_5?id=27964# http://findicons.com/icon/27930/boy_8?id=27939# http://findicons.com/icon/27955/girl_4?id=27965#
  6. Maximal consistent sets
  7. detect the prevalence of knowledge, emotion, and values as a first approximation to the purpose. High sentiment and low sentiment messages can be found through sen- timent analysis [21], which we also use as a first indication of whether people agree and how strongly their views are expressed. Values are abstract qualities such as utility, beauty, respect, and patriotism; these can be found with gazetteers. Knowledge-based discussions often cite statistics, experts, and studies, which can be text-mined; they may also commonly use argumentation schemes such as expert opinion.
  8. Detecting the purpose of the discussion… Using keywords and rhetorical analysis Provides context
  9. Isn’t it funny that people tweet about this
  10. Task-specific conversation