85 research outputs found
halfak/are-the-bots-really-fighting: Photo ready
No full text<p>This repository contains code, but not all of the data. See:</p>
<p>Halfaker, Aaron; Geiger, R.Stuart (2017): Operationalizing Conflict & Coordination Between Automated Software Agents (datasets). figshare.
<a href="https://doi.org/10.6084/m9.figshare.5362216.v4">https://doi.org/10.6084/m9.figshare.5362216.v4</a>
Retrieved: 19:11, Sep 09, 2017 (GMT)</p>
<p>Note that data will automatically be downloaded by the Makefile via <code>$ make datasets</code></p>
Maintaining the efficiency of open production systems at scale: a case study of Wikipedia
No full textUniversity of Minnesota Ph.D. dissertation. December 2013. Major: Physics. Advisors: John Reidl & Loren Terveen. 1 computer file (PDF); xii, 128 pages.This dissertation represents an exploration of the function and failures of critical subsystems in open production communities with Wikipedia as a case study. Specifically, I explore the nature of rejection via Wikipedia's informal, post-hoc quality control system and identify a consistent ownership bias that undermines Wikipedia's ethos of openness. I also quantify an inherent trade-off between the speed and efficiency of quality control in Wikipedia and the motivation of rejected contributors -- especially new editors. I then proceed to show how Wikipedia's shifting focus on quality control and formal process has led to a dramatic decline in the rate of retention of desirable new editors that threatens the long-term viability of the project.In light of these results, I present studies of two experimental software systems intended to explore potential solutions to this steady decrease in participation. First I draw on social learning theory to evaluate the effectiveness of a new mode of peripheral participation through reader-submitted feedback. I experimentally demonstrate effective strategies for increasing the rate of contributions without decreasing quality and argue for efficient moderation support in order to make quality control worth volunteer time spent away from editing the encyclopedia. Next, I describe the design and three month field study of a new intelligent software system intended to both efficiently support socialization practices in Wikipedia and bring visibility to the systemic problems that lead to declining newcomer retention. I show evidence that the system works in both regards: critical newcomer socialization activities are made dramatically more efficient and users of the system reflect openly on the breakdowns in Wikipedia's quality control processes.This work has already had impact within the Wikipedia community and in directing the strategy employed by the Wikimedia Foundation in designing and evaluating new software for Wikipedia editors.Halfaker, Aaron. (2013). Maintaining the efficiency of open production systems at scale: a case study of Wikipedia. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/162489
Deltas -- Experimental Difference Algorithms (v0.0.2)
No full text<p>Includes the basic system structure, a wrapper around difflib.SequenceMatcher and a complete implementation of SegmentMatcher with an abstract Segmenter structure.</p>
<p>See documentation: http://pythonhosted.org/deltas/</p>
<p>Install via pip: pip install deltas</p>
<p>Inspired by: Flöck, F., & Acosta, M. (2014, April). WikiWho: precise and efficient attribution of authorship of revisioned content. In <em>Proceedings of the 23rd international conference on World wide web</em> (pp. 843-854). International World Wide Web Conferences Steering Committee.</p>
mediawiki-utilities/python-mwreverts: v0.1.4
No full textA set of utilities for detecting reverts in MediaWiki revision
MovieLens Search
No full textThis dataset contains all of the search events for users of the MovieLens recommender engine. </p
Wikimedia editor activity (monthly)
No full textThis dataset contains a row for every (wiki, user, month) that contains a count of all 'revisions' saved and a count of those revisions that were 'archived' when the page was deleted.
For more information, see https://meta.wikimedia.org/wiki/Research:Monthly_wikimedia_editor_activity_dataset
Fields:
· wiki -- The dbname of the wiki in question ("enwiki" == English Wikipedia, "commonswiki" == Commons)
· month -- YYYYMM
· user_id -- The user's identifier in the local wiki
· user_name -- The user name in the local wiki (from the 'user' table)
· user_registration -- The recorded registration date for the user in the 'user' table
· archived -- The count of deleted revisions saved in this month by this user
· revisions -- The count of all revisions saved in this month by this user (archived or not)
· attached_method -- The method by which this user attached this account to their global account</p
Wikimedia Desktop View
No full textEach row represents a page view to the Desktop version of Wikimedia's sites (e.g. wikipedia, wiktionary, etc.) This dataset was gathered through the use of a snippet of Javascript that used a cookie to randomly sample readers at 1/1000. 7.12 million page view requests by 1.18 million users were recorded. </p
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