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Constructing knowledge through argument: Wikipedia and World Wide Argument Web Jodi Schneider, Alexandre Passant, John Breslin DERI Meeting 2010-12-03 Galway, Ireland
Outline The Vision Research Progress Future Plans 2
 World Wide Web & Argument 3
World Wide Argument Web (WWAW) 4 What if instead of following mailing lists, blogs, online magazines, scientific journals… You could follow ARGUMENTS? Who is arguing about this topic? Or product? Or idea? Is their view positive or negative? Are their ideas credible?  Are they trustworthy? Do people I trust, trust them? What arguments are they making?
Arguments on Wikipedia 5
Wikipedians argue on Talk pages 6
7 Digital Enterprise Research Institute www.deri.ie Talk pages need semantics Lots of conversations Viégas:  “the fastest growing areas of Wikipedia are devoted to coordination and organization” When are people agreeing/disagreeing? Not well understood! Very little study of Talk pages Largest study: 60 pages, 2 types. Discovered: Featured Articles have10x discussion! Immense variation between pages  Data from Stvilia 7
My Research Questions 8 What do Wikipediansdo on Talk pages? What kind of arguments happen on Talk pages? Can we add structure to make pages “fit” how editors and readers use them?
Three ways of understanding Talk pages 9 Interviews with editors and administrators What do Wikipediansdo on Talk pages? Hand content analysis of 100 Talk pages What kind of arguments happen on Talk pages? A semantic annotation infrastructure Can we add structure to make pages “fit” how editors and readers use them?
1. Interviews 10 Administrators Frequently monitor conversations Know + meet co-editors Make community-related edits such as adding infoboxes More likely to move/rename articles and Talk pages Editors Mostly read Talk pages “Get the scoop”—what’s controversial? More details? More likely to read older conversations May learn policy and procedures
2. Content Analysis 11 100 Talk pages 5 categories of pages Most editors (of the article) Most visits (to the article) Controversial Featured Articles Random 15 classifications
12 Digital Enterprise Research Institute www.deri.ie Classification Examples 12
13
Our SIOC WikiTalk ontology WikiDiscussionItem ReferenceItem ReferenceToEdit ReferenceToGuidelinesOrPolicies ReferenceToInternalResources ReferenceToRevertsOrControversialOrRemovedMaterial ReferenceToVandalism RequestItem RequestEditingCoordination RequestHelpElsewhere RequestInfo RequestPeer-review http://rdfs.org/sioc/wikitalk
3. Semantic markup for Talk pages Develop a content-based semantic model Hand markup Wikipedia Talk pages with RDFa Query to find comments meeting specified criteria JavaScript and SPARQL Formative evaluations Browsing talk pages with & without highlight plugins to identify particular comments 15
Structuring Talk Pages: Semantics Reusing existing models (FOAF/SIOC) Article: sioct:WikiArticle Link article to the Talk page: sioc:has_discussion Discussions: sioc:Thread Individual comments: sioc:Post Commenter: foaf:Person / sioc:UserAccount New elements from the previous categorization http://rdfs.org/sioc/wikitalk Focus on references and requests: Difficult to imagine people marking their own comment as off-topic; however, labeling “request for help” is plausible Relevant for querying and retrieving information
17 Digital Enterprise Research Institute www.deri.ie Example RDFa markup 17
Using the markup: JavaScript bookmarklets 18 Highlight posts based on the ontology class – e.g. ReferenceToEdit
Retrieve RequestInfo posts in WikiProject Computing SELECT ?commment ?page  WHERE  { 	?page sioc:links_to <http://en.wikipedia.org/ wiki/	Template:WikiProject_Computing > . 	?comment sioc:has_container ?page ;  		a sioc:Post ; a siocwt:RequestInfo . } 19
Retrieve posts by novices which have no replies SELECT ?comment ?reply ?user ?name  WHERE  { 	?comment a sioc:Post ; sioc:has_creator ?user . 	OPTIONAL { ?user sioc:name ?name . }  	OPTIONAL { ?comment sioc:has_reply ?reply . }  	FILTER (!BOUND(?name)) FILTER (!BOUND(?reply)) } 20
Back to the World Wide Argument Web 21
Arguing all over the Web Wikipedia is not the only place people argue. Research questions: What related arguments are there? What new arguments that I haven’t seen are there? Should I believe this argument? 22
Arguments at BBC’s Have Your Say A simple argument: “Banning new drivers from driving at night would be a knee-jerk reaction to a particular statistic.  Cars differ from public transport in that you can go anywhere at any time so why take this advantage away?” 23
Analysis The simplest argument:  <claim, reason> Claim: Banning new drivers from driving at night would be a knee-jerk reaction Reason:  With a car you can go anywhere at any time Incomplete! 24
Exampleat BBC’s Have Your Say A Case:“I think the proposed restrictions on young drivers are completely unrealistic and unfair. When I was 18 and bought my first car I was studying for my A-levels during the day and therefore needed to work in the evenings to earn my own money and pay for the upkeep of my car. I finished work between 11pm and midnight. If these restrictions had been in place I would have had three options: 1-give up my job (I think we can all agree that the current government is aiming to encourage more people to work and take pride in earning their own money, not rely on state handouts or their parents. 2 - Walk home alone in the dark (clearly this is not a sensible option either for obvious reasons) 3 - demand my parents pick me up and drop me off  to work each night (this is also unreasonable as many young people cannot rely on their parents for many reasons e.g. if their parents are also working late or cannot drive).” 25
WWAW-related questions What’s possible now? What can the Social Web and Social Semantic Web contribute? How can we make the WWAW as easy to use as Web2.0 tools? 26
Parts of the WWAW exist 27 An interchange format Argument Interchange Format  Argument schemes ‘Argument from Position to Know’, ‘Argument from Expertise’, … Argument-related ontologies IBIS, ScholOnto, SWAN/SIOC, … Prototype interfaces Argument blogging, Arvina, MAgtALO, … RDF and OWL-based systems Avicenna, ArgDF
Argument blogging  (AIF+DGDL) 28 Source: Wells, Gourlay, & Reed, “Argument blogging,” CMNA 2009
Generate argument maps from conversations (Arvina, MAgtALO) 29 Snaith, Lawrence, & Reed, “Mixed initiative argument in public deliberation,”ODET 2010
Collating blog comments Collation & querying across the Web 30 Sindice SIOC plugin for WordPress blogs: did a commenter post on other websites?
Challenge: Adapt for the Social! People don’t want to classify their comments. Many assumptions are implicit. “Don’t make me think!” Not all arguments are equally effective—and not everyone is susceptible to the same arguments! 31
Social Semantic Web 32
Social Semantic Web research Trust & credibility layer Golbeck, Computing with Social Trust, Springer 2008 Hartig, Querying Trust in RDF Data with tSPARQL, ESWC 2009 33 http://www.w3.org/2007/03/layerCake.svg
Summary We can increase the effectiveness of Wikipedia Talk pages by understanding how they are used We add semantic structure to Wikipedia Talk pages which can be used to extract socially useful info The World Wide Argument Web is an exciting research area with an existing infrastructure and a need for Social Semantic Web expertise 34
Thank You! 35 Questions & Comments? Contact:  jodi.schneider@deri.org
Our Wikipedia-Related Research “Understanding and Improving Wikipedia Article Discussion Spaces.” In SAC 2011 (Web Track), TaiChung, Taiwan, March 21-25, 2011. “Enhancing MediaWiki Talk pages with Semantics for Better Coordination - A Proposal.” In The Fifth Workshop on Semantic Wikis: Linking Data and People Workshop at 7th Extended Semantic Web Conference (ESWC), Crete, Greece, May 31, 2010. “A Content Analysis: How Wikipedia Talk Pages Are Used.” In WebSci2010, Web Science Conference. Raleigh, NC,April 26 & 27 2010. 36
References Stvilia,Twidale, Smith & Gasser, "Information Quality Work Organization in Wikipedia," JASIST 2008. doi: 10.1002/asi.2081 Viégas, Wattenberg, Kriss & Ham, "Talk Before You Type: Coordination in Wikipedia," HICSS 2007. doi: 10.1109/HICSS.2007.511 Rahwan,Zablith & Reed, “Laying the foundations for a World Wide Argument Web,” Artificial Intelligence 2007.doi: 10.1016/j.artint.2007.04.015 Walton, Reed & Macagno, Argumentation Schemes. 37
Further image credits Slide 3 The WWW 2003-11-23 http://www.opte.org/maps/ Argument – author unknown – via via http://blog.pappastax.com/index.php/2009/11/23/seth-godin-on-online-arguments/  Slide 4 Wikipedia logo Slide 31 http://www.cafepress.com/+ask_dad_magnet,55304381 Talk pages screenshots from  http://en.wikipedia.org/Talk: {articlename} 3838
Most popular (article visits) Common pattern for Featured Articles, controversial articles, too.
Featured Article
Most editors
42 Digital Enterprise Research Institute www.deri.ie Random 1 42
Random 2 43
11 classifications based on Viégas References to  Vandalism wiki guidelines & policies internal wiki resources Requests for editing coordination information peer-review Off-topic-remarks Polls Info boxes Images Other 44
sioc:Article sioc:Wiki sioc:Thread siocwt:RequestInfo siocwt:Other sioc:UserAccount sioc:UserAccount siocwt:ReferenceToSources, siocwt:ReferenceToGuidelinesOrPolicies sioc:UserAccount sioc:Thread siocwt:RequestEditingCoordination sioc:ip_address sioc:Thread siocwt:RequestEditingCoordination sioc:UserAccount siocwt:RequestEditingCoordination sioc:UserAccount

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Wikipedia and World Wide Argument Web (DERI meeting 2010-12-03)

  • 1. Constructing knowledge through argument: Wikipedia and World Wide Argument Web Jodi Schneider, Alexandre Passant, John Breslin DERI Meeting 2010-12-03 Galway, Ireland
  • 2. Outline The Vision Research Progress Future Plans 2
  • 3. World Wide Web & Argument 3
  • 4. World Wide Argument Web (WWAW) 4 What if instead of following mailing lists, blogs, online magazines, scientific journals… You could follow ARGUMENTS? Who is arguing about this topic? Or product? Or idea? Is their view positive or negative? Are their ideas credible? Are they trustworthy? Do people I trust, trust them? What arguments are they making?
  • 6. Wikipedians argue on Talk pages 6
  • 7. 7 Digital Enterprise Research Institute www.deri.ie Talk pages need semantics Lots of conversations Viégas: “the fastest growing areas of Wikipedia are devoted to coordination and organization” When are people agreeing/disagreeing? Not well understood! Very little study of Talk pages Largest study: 60 pages, 2 types. Discovered: Featured Articles have10x discussion! Immense variation between pages Data from Stvilia 7
  • 8. My Research Questions 8 What do Wikipediansdo on Talk pages? What kind of arguments happen on Talk pages? Can we add structure to make pages “fit” how editors and readers use them?
  • 9. Three ways of understanding Talk pages 9 Interviews with editors and administrators What do Wikipediansdo on Talk pages? Hand content analysis of 100 Talk pages What kind of arguments happen on Talk pages? A semantic annotation infrastructure Can we add structure to make pages “fit” how editors and readers use them?
  • 10. 1. Interviews 10 Administrators Frequently monitor conversations Know + meet co-editors Make community-related edits such as adding infoboxes More likely to move/rename articles and Talk pages Editors Mostly read Talk pages “Get the scoop”—what’s controversial? More details? More likely to read older conversations May learn policy and procedures
  • 11. 2. Content Analysis 11 100 Talk pages 5 categories of pages Most editors (of the article) Most visits (to the article) Controversial Featured Articles Random 15 classifications
  • 12. 12 Digital Enterprise Research Institute www.deri.ie Classification Examples 12
  • 13. 13
  • 14. Our SIOC WikiTalk ontology WikiDiscussionItem ReferenceItem ReferenceToEdit ReferenceToGuidelinesOrPolicies ReferenceToInternalResources ReferenceToRevertsOrControversialOrRemovedMaterial ReferenceToVandalism RequestItem RequestEditingCoordination RequestHelpElsewhere RequestInfo RequestPeer-review http://rdfs.org/sioc/wikitalk
  • 15. 3. Semantic markup for Talk pages Develop a content-based semantic model Hand markup Wikipedia Talk pages with RDFa Query to find comments meeting specified criteria JavaScript and SPARQL Formative evaluations Browsing talk pages with & without highlight plugins to identify particular comments 15
  • 16. Structuring Talk Pages: Semantics Reusing existing models (FOAF/SIOC) Article: sioct:WikiArticle Link article to the Talk page: sioc:has_discussion Discussions: sioc:Thread Individual comments: sioc:Post Commenter: foaf:Person / sioc:UserAccount New elements from the previous categorization http://rdfs.org/sioc/wikitalk Focus on references and requests: Difficult to imagine people marking their own comment as off-topic; however, labeling “request for help” is plausible Relevant for querying and retrieving information
  • 17. 17 Digital Enterprise Research Institute www.deri.ie Example RDFa markup 17
  • 18. Using the markup: JavaScript bookmarklets 18 Highlight posts based on the ontology class – e.g. ReferenceToEdit
  • 19. Retrieve RequestInfo posts in WikiProject Computing SELECT ?commment ?page WHERE { ?page sioc:links_to <http://en.wikipedia.org/ wiki/ Template:WikiProject_Computing > . ?comment sioc:has_container ?page ; a sioc:Post ; a siocwt:RequestInfo . } 19
  • 20. Retrieve posts by novices which have no replies SELECT ?comment ?reply ?user ?name WHERE { ?comment a sioc:Post ; sioc:has_creator ?user . OPTIONAL { ?user sioc:name ?name . } OPTIONAL { ?comment sioc:has_reply ?reply . } FILTER (!BOUND(?name)) FILTER (!BOUND(?reply)) } 20
  • 21. Back to the World Wide Argument Web 21
  • 22. Arguing all over the Web Wikipedia is not the only place people argue. Research questions: What related arguments are there? What new arguments that I haven’t seen are there? Should I believe this argument? 22
  • 23. Arguments at BBC’s Have Your Say A simple argument: “Banning new drivers from driving at night would be a knee-jerk reaction to a particular statistic. Cars differ from public transport in that you can go anywhere at any time so why take this advantage away?” 23
  • 24. Analysis The simplest argument: <claim, reason> Claim: Banning new drivers from driving at night would be a knee-jerk reaction Reason: With a car you can go anywhere at any time Incomplete! 24
  • 25. Exampleat BBC’s Have Your Say A Case:“I think the proposed restrictions on young drivers are completely unrealistic and unfair. When I was 18 and bought my first car I was studying for my A-levels during the day and therefore needed to work in the evenings to earn my own money and pay for the upkeep of my car. I finished work between 11pm and midnight. If these restrictions had been in place I would have had three options: 1-give up my job (I think we can all agree that the current government is aiming to encourage more people to work and take pride in earning their own money, not rely on state handouts or their parents. 2 - Walk home alone in the dark (clearly this is not a sensible option either for obvious reasons) 3 - demand my parents pick me up and drop me off to work each night (this is also unreasonable as many young people cannot rely on their parents for many reasons e.g. if their parents are also working late or cannot drive).” 25
  • 26. WWAW-related questions What’s possible now? What can the Social Web and Social Semantic Web contribute? How can we make the WWAW as easy to use as Web2.0 tools? 26
  • 27. Parts of the WWAW exist 27 An interchange format Argument Interchange Format Argument schemes ‘Argument from Position to Know’, ‘Argument from Expertise’, … Argument-related ontologies IBIS, ScholOnto, SWAN/SIOC, … Prototype interfaces Argument blogging, Arvina, MAgtALO, … RDF and OWL-based systems Avicenna, ArgDF
  • 28. Argument blogging (AIF+DGDL) 28 Source: Wells, Gourlay, & Reed, “Argument blogging,” CMNA 2009
  • 29. Generate argument maps from conversations (Arvina, MAgtALO) 29 Snaith, Lawrence, & Reed, “Mixed initiative argument in public deliberation,”ODET 2010
  • 30. Collating blog comments Collation & querying across the Web 30 Sindice SIOC plugin for WordPress blogs: did a commenter post on other websites?
  • 31. Challenge: Adapt for the Social! People don’t want to classify their comments. Many assumptions are implicit. “Don’t make me think!” Not all arguments are equally effective—and not everyone is susceptible to the same arguments! 31
  • 33. Social Semantic Web research Trust & credibility layer Golbeck, Computing with Social Trust, Springer 2008 Hartig, Querying Trust in RDF Data with tSPARQL, ESWC 2009 33 http://www.w3.org/2007/03/layerCake.svg
  • 34. Summary We can increase the effectiveness of Wikipedia Talk pages by understanding how they are used We add semantic structure to Wikipedia Talk pages which can be used to extract socially useful info The World Wide Argument Web is an exciting research area with an existing infrastructure and a need for Social Semantic Web expertise 34
  • 35. Thank You! 35 Questions & Comments? Contact: jodi.schneider@deri.org
  • 36. Our Wikipedia-Related Research “Understanding and Improving Wikipedia Article Discussion Spaces.” In SAC 2011 (Web Track), TaiChung, Taiwan, March 21-25, 2011. “Enhancing MediaWiki Talk pages with Semantics for Better Coordination - A Proposal.” In The Fifth Workshop on Semantic Wikis: Linking Data and People Workshop at 7th Extended Semantic Web Conference (ESWC), Crete, Greece, May 31, 2010. “A Content Analysis: How Wikipedia Talk Pages Are Used.” In WebSci2010, Web Science Conference. Raleigh, NC,April 26 & 27 2010. 36
  • 37. References Stvilia,Twidale, Smith & Gasser, "Information Quality Work Organization in Wikipedia," JASIST 2008. doi: 10.1002/asi.2081 Viégas, Wattenberg, Kriss & Ham, "Talk Before You Type: Coordination in Wikipedia," HICSS 2007. doi: 10.1109/HICSS.2007.511 Rahwan,Zablith & Reed, “Laying the foundations for a World Wide Argument Web,” Artificial Intelligence 2007.doi: 10.1016/j.artint.2007.04.015 Walton, Reed & Macagno, Argumentation Schemes. 37
  • 38. Further image credits Slide 3 The WWW 2003-11-23 http://www.opte.org/maps/ Argument – author unknown – via via http://blog.pappastax.com/index.php/2009/11/23/seth-godin-on-online-arguments/ Slide 4 Wikipedia logo Slide 31 http://www.cafepress.com/+ask_dad_magnet,55304381 Talk pages screenshots from http://en.wikipedia.org/Talk: {articlename} 3838
  • 39. Most popular (article visits) Common pattern for Featured Articles, controversial articles, too.
  • 42. 42 Digital Enterprise Research Institute www.deri.ie Random 1 42
  • 44. 11 classifications based on Viégas References to Vandalism wiki guidelines & policies internal wiki resources Requests for editing coordination information peer-review Off-topic-remarks Polls Info boxes Images Other 44
  • 45. sioc:Article sioc:Wiki sioc:Thread siocwt:RequestInfo siocwt:Other sioc:UserAccount sioc:UserAccount siocwt:ReferenceToSources, siocwt:ReferenceToGuidelinesOrPolicies sioc:UserAccount sioc:Thread siocwt:RequestEditingCoordination sioc:ip_address sioc:Thread siocwt:RequestEditingCoordination sioc:UserAccount siocwt:RequestEditingCoordination sioc:UserAccount

Notas do Editor

  1. English Wikipedia: 3.5 million articles
  2. Our 4 New Comment Types
  3. Assume that a novice is someone who has not written a User page for themselves; these could be transcluded to an appropriate location
  4. What is the structure of this argument? Is this argument sound? How can we adapt the WWAW to support wide-scale social use?
  5. Simplifies. But would need adoption by major hosts. “Argument Blogging needs mainly evangelism and integration with hosted systems to help the World Wide Argument Web [16] emerge, and a federated network in order to make it scalable and resistant to disruption.”
  6. Sindice SIOC widget:Shows posts, comments, and topics, from across the Web from sites which use the SIOC ontology.http://www.johnbreslin.com/taxonomy/term/1606 “if you look at the post author or click into any comments list, each user now has a speech bubble beside the username. Clicking on this bubble will show you posts, comments and topics created by that user across the &quot;SIOC-o-sphere&quot;.argumentation ecosystem for social media, aligning Semantic Web models for argumentation with those for social media, AIF (alone) doesn’t solve this (yet)Social Websites may not be in RDFAIF expects argument schemesSocial Semantic Web schemes (FOAF, SIOC) mainly model the overall structure.
  7. argumentation ecosystem for social media, aligning Semantic Web models for argumentation with those for social media, AIF (alone) doesn’t solve this (yet)Social Websites may not be in RDFAIF expects argument schemesSocial Semantic Web schemes (FOAF, SIOC) mainly model the overall structure.
  8. 22 printed pages – plus two archives