Posts Tagged ‘open collaboration systems’

Ph.D. defense, Tuesday October 1st

September 30th, 2013

My Ph.D. defense (viva voce) will start with a short public talk. You’re invited!

We’ll be streaming from Galway on our research institute channel:
http://www.ustream.tv/channel/insight-galway-live
on Tuesday October 1st, 9:30 AM Irish time (UTC/GMT +1 hour, same as British Summer Time) (show in other timezones). ((Thanks Hugo Hromic for taking care of this, and Deirdre Lee for asking about streaming!))

For more details, here’s a brief announcement from our institute mailing list:

Jodi Schneider will give a talk on her PhD work as part of her viva.
9.30 AM, Tuesday October 1st in the conference room.

Professor Simon Buckingham Shum (KMi, Open University) will be in attendance.
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TITLE “Enabling reuse of arguments and opinions in open collaboration systems”

ABSTRACT
The World Wide Web enables large-scale collaboration, even between groups of individuals previously unknown to one another. These collaborations produce tangible outputs, such as encyclopedias (Wikipedia), electronic books (Distributed Proofreaders), maps (OpenStreetMap) and open source software packages (Firefox). In such open collaboration systems, decisions are made through open online discussions in which anyone can participate, and those decisions are based on the written arguments and opinions that individuals contribute, sometimes in large volumes.

Sense-making and coordination is an important component of collaboration, but it is particularly challenging when individuals disagree. When large volumes of opinions and arguments are expressed, popular or emotive choices can be identified through coarse approaches such as sampling, sentiment, or voting. But these do not identify the reasons for disagreement, which may be needed in order to reach decisions. For example, about 500 discussions each week in Wikipedia concern whether a particular topic should be covered in the encyclopedia. Discussions may involve comments from 2-200 people, and some topics are contentious.

This thesis addresses the problem of analyzing, integrating, and reconciling arguments and opinions in goal-oriented online discussions. We emphasize the structure of arguments by providing a new, reconfigurable Web interface. Our interface improves the perceived usefulness, perceived ease of use, and information completeness, thus providing meaningful support for the discussion.

The thesis addresses the following three research questions:
– What are the opportunities and requirements for providing argumentation support?
– Which arguments are used in open collaboration systems?
– How can we structure and display opinions and arguments to support their use and reuse?

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Defining open collaboration systems

July 27th, 2013

“Open collaboration systems” has lately become part of the (working) title for my thesis. I had tried talking about “purposeful online conversations” when scoping my work. I had in mind online conversations where people argued in order to find common ground and take action. By contrast, I explained, while people argue in many online venues, characterizing those arguments is challenging: what shall we say (in general) about the arguments on Twitter, or in comments to blog posts? But the phrase “purposeful online conversations” seemed to mean little to anyone but me.

I latched onto a new definition to use in my thesis: “open collaboration systems”. In an open collaboration system, “people form ties with others and create things together” ((Forte, Andrea, and Cliff Lampe. “Defining, Understanding, and Supporting Open Collaboration: Lessons From the Literature.” American Behavioral Scientist 57.5 (2013): 535-547. doi:10.1177/0002764212469362)), ((The article, published this May, is their introduction to a special issue in American Behavioral Scientist. ABS 57(5), published May 2013. As a side note, the definition seems to have arisen out of need; I’m grateful. The original CFP for the issue explained what they were looking for more generally: “By open collaboration we mean the development of novel social structures supported by technologies including wikis and other content management systems that allow people to share and build content.”))

Forte and Lampe define a “prototypical open collaboration system” as

an online environment that

  1. supports the collective production of an artifact
  2. through a technologically mediated collaboration platform
  3. that presents a low barrier to entry and exit, and
  4. supports the emergence of persistent but malleable social structures. ((Forte, Andrea, and Cliff Lampe. “Defining, Understanding, and Supporting Open Collaboration: Lessons From the Literature.” American Behavioral Scientist 57.5 (2013): 535-547. doi:10.1177/0002764212469362))

I’m chagrined to say that it hadn’t occurred to me to quote the definition and then slightly redefine it. That is, until today when I chanced upon Andrew West’s thesis, “Damage detection and mitigation in open collaboration applications” ((Andrew West “Damage detection and mitigation in open collaboration applications” Ph.D. thesis, University of Pennsylvania. May 2013.)), about his large body of work on vandalism in Wikipedia, and the robust tool for vandalism reversion that he developed, Stiki. Very interesting since, as the title suggests, he creates a variant definition, Open Collaboration Applications (OCAs), where he liberally applies the “low barrier to entry and exit” to exclude moderation (for instance Github, which requires “proactive moderation” from repository owners, is excluded in his definition). He also stresses collective production more than most. But most interestingly to me, West very explicitly excludes voting-oriented collaborative filtering, based on the independence of the action taken by each voter. ((To clarify his modified definition of Open Collaboration Applications (OCAs), West says (in part):

We proceed by discussing familiar examples that are not OCAs. Append only and monotonically growing content/discussion repositories fail to qualify because they are not collectively produced at any granularity. This includes applications like YouTube, Flickr, forums, and blog/article comments regardless of the fact their content is user generated (these are aggregated independent artifacts). Collaborative filtering applications like Reddit, Digg, and Slashdot are also insufficient. Therein, community voting determines the acceptance and/or prominence of individual content items (“posts”) towards composing a public facing artifact. These fail in two dimensions: (1) Voting is an append only action, and (2) supposing participants could fully “edit” the ordering, this presentation is nonetheless a meta-artifact of independent posts – failing the atomicity constraint.

))

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