[Wiki-research-l] ACM Web Science Conference (WebSci'14), June 23-26, 2014
*** Apologies for multiple postings *** CALL FOR PAPERS CALL FOR WORKSHOPS AND TUTORIAL PROPOSALS ACM Web Science Conference (WebSci'14), June 23-26, 2014 Bloomington, Indiana, USA websci14.org / @WebSciConf / #WebSci14 Deadline for papers: Feb. 23rd 2014 Deadline for workshop tutorial proposals: Jan. 17th 2014 Web Science is the emergent science of the people, organizations, applications, and of policies that shape and are shaped by the Web, the largest informational artifact constructed by humans in history. Web Science embraces the study of the Web as a vast universal information network of people and communities. As such, Web Science includes the study of social networks whose work, expression, and play take place on the Web. The social sciences and computational sciences meet in Web Science and complement one another: Studying human behavior and social interaction contributes to our understanding of the Web, while Web data is transforming how social science is conducted. The Web presents us with a great opportunity as well as an obligation: If we are to ensure the Web benefits humanity we must do our best to understand it. Call for Papers The Web Science conference is inherently interdisciplinary, as it attempts to integrate computer and information sciences, communication, linguistics, sociology, psychology, economics, law, political science, philosophy, digital humanities, and other disciplines in pursuit of an understanding of the Web. This conference is unique in the manner in which it brings these disciplines together in creative and critical dialogue, and we invite papers from all the above disciplines, and in particular those that cross traditional disciplinary boundaries. Following the success of WebSci'09 in Athens, WebSci'10 in Raleigh, WebSci'11 in Koblenz, WebSci '12 in Evanston, and WebSci'13 in Paris, for the 2014 conference we are seeking papers and posters that describe original research, analysis, and practice in the field of Web Science, as well as work that discusses novel and thought-provoking ideas and works-in-progress. Possible topics for submissions include, but are not limited to, the following: * Analysis of human behavior using social media, mobile devices, and online communities * Methodological challenges of analyzing Web-based * large-scale social interaction * Data-mining and network analysis of the Web and human communities on the Web * Detailed studies of micro-level processes and interactions * on the Web * Collective intelligence, collaborative production, and social computing * Theories and methods for computational social science on the Web * Studies of public health and health-related behavior on the Web * The architecture and philosophy of the Web * The intersection of design and human interaction on the Web * Economics and social innovation on the Web * Governance, democracy, intellectual property, and the commons * Personal data, trust, and privacy * Web and social media research ethics * Studies of Linked Data, the Cloud, and digital eco-systems * Big data and the study of the Web * Web access, literacy, and development * Knowledge, education, and scholarship on and through the Web * People-driven Web technologies, including crowd-sourcing, open data, and new interfaces * Digital humanities * Arts culture on the Web or engaging audiences using Web resources * Web archiving techniques and scholarly uses of Web archives * New research questions and thought-provoking ideas A separate Call for Workshop and Tutorial Proposals is on the conference website at: http://www.websci14.org/#call-for-workshop-and-tutorial-proposals Submission Web Science is necessarily a very selective single track conference with a rigorous review process. To accommodate the distinct traditions of its many disciplines, we provide three different submission formats: full papers, short papers, and posters. For all types of submissions, inclusion in the ACM DL proceedings will be by default, but not mandatory (opt-out via EasyChair). All accepted research papers (full and short papers) will be presented during the single-track conference. All accepted posters will be given a spot in the single-track lightning talk session, and room to present their papers during a dedicated poster session. Full research papers (5 to 10 pages, ACM double column, 20 mins presentation including QA) Full research papers should present new results and original work that has not been previously published. Research papers should present substantial theoretical, empirical, methodological, or policy-oriented contributions to research and/or practice. Short research papers (up to 5 pages, ACM double column, 15 mins presentation including QA) Short research papers should present new results and original work that has not been previously published. Research papers can present preliminary theoretical, empirical, methodological, or policy-oriented contributions to research and/or practice.
[Wiki-research-l] The Wikimedia Research Newsletter 3(12) is out
The December 2013 issue of the Wikimedia Research Newsletter is out: https://meta.wikimedia.org/wiki/Research:Newsletter/2013/December Contents: 1 Cohort of cross-language Wikipedia editors analyzed 2 Attempt to use Wikipedia pageviews to predict election results in Iran, Germany and the UK 3 Integrity of Wikipedia and Wikipedia research 4 Briefly 4.1 How we found a million style and grammar errors in the English Wikipedia 4.2 Evaluation of gastroenterology and hepatology articles on Wikipedia 4.3 Overview of research on FLOSS and Wikipedia 4.4 In battle over Walt Whitman's sexuality, Wikipedia policies tamed the mass into producing a good encyclopedia entry 4.5 Elinor Ostrom's theories applied to Wikipedia 4.6 New dissertation on Wiktionary ••• 9 publications were covered in this issue ••• Thanks to Daniel Mietchen, Maximilian Klein and Piotr Konieczny for contributing. Tilman Bayer and Dario Taraborelli -- Wikimedia Research Newsletter https://meta.wikimedia.org/wiki/Research:Newsletter/ * Follow us on Twitter/Identi.ca: @WikiResearch * Receive this newsletter by mail: https://lists.wikimedia.org/mailman/listinfo/research-newsletter * Subscribe to the RSS feed: http://blog.wikimedia.org/c/research-2/wikimedia-research-newsletter/feed/ -- Tilman Bayer Senior Operations Analyst (Movement Communications) Wikimedia Foundation IRC (Freenode): HaeB ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
[Wiki-research-l] Polling the watcher's of a page. Possible?
Hello Research, It it possible to query for the watchers of a page? It does not seem to be in the API, nor is the watchers or wl_user table in the Data Base replicas (where I thought MediaWiki stores it. I imagine this is for privacy reasons, correct? If so, how would one gain access? I have been talking with an econophysicist who thinks that we could apply a contagion algorithm, to see which edits are contagious. (I met this econopyhicist at the Berkeley Data Science Faire at which Wikimedia Analytics presented, so it was worth it in the end). Maximilian Klein Wikipedian in Residence, OCLC +17074787023 ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] Polling the watcher's of a page. Possible?
No, you can't for reasons on privacy. See: https://en.wikipedia.org/wiki/Help:Watching_pages#Privacy But, I concur with your theory that edits are contagious. I often find that when I get the notification that a watched page has changed, I go and look at the page. While I am there, I often spot a little thing that needs doing, which sometimes is just a simple single edit and other times initiates a marathon of editing activity for the next couple of days :-) If you want to test this theory, I think using at the set of editors of the page might be a pretty good approximation of the watchlist. A lot of people have the add the pages and files I edit to my watchlist set in their preferences (I know I do). For the purpose of declaring one edit as being contagious (that is, causes another edit), what criteria would you use? I would assume you need some time bounds here. I think there needs to be kick-off edits identified. These would be edits that occurred sufficiently long after the previous edit that contagion could not be factor. Then after the kick-off edit, you would be looking for one or more reaction edits that occurred fairly quickly after one another, suggesting a contagion based on watchlists. So it seems there are two time parameters: the kick-off threshold and the reaction threshold. I don't think these are necessarily the same value (i.e. is there is some grey zone in-between where the edits can be categorised as neither kick-off nor reaction?). In terms of setting these threshold(s), you might need some real-life data to train on. So maybe you could start by asking if some editors would send you a copy of their watchlist and you could write a script that compared it with their edit history over the same time frame (plus a bit to cater for bursty-ness). From that you could come up with a set of edits that look like contagious ones and you could ask the editors to say yes / no / don't remember to try to see if 1) contagion appears to be happening 2) what the time thresholds need to be. Then test it on a bigger set of data using edit history as a proxy for watchlists. Kerry _ From: wiki-research-l-boun...@lists.wikimedia.org [mailto:wiki-research-l-boun...@lists.wikimedia.org] On Behalf Of Klein,Max Sent: Tuesday, 31 December 2013 2:26 PM To: wiki-research-l@lists.wikimedia.org Subject: [Wiki-research-l] Polling the watcher's of a page. Possible? Hello Research, It it possible to query for the watchers of a page? It does not seem to be in the API, nor is the watchers or wl_user table in the Data Base replicas (where I thought MediaWiki stores it. I imagine this is for privacy reasons, correct? If so, how would one gain access? I have been talking with an econophysicist who thinks that we could apply a contagion algorithm, to see which edits are contagious. (I met this econopyhicist at the Berkeley Data Science Faire at which Wikimedia Analytics presented, so it was worth it in the end). Maximilian Klein Wikipedian in Residence, OCLC +17074787023 ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
Re: [Wiki-research-l] Polling the watcher's of a page. Possible?
Check out Michael Kummer's paper that looks at a similar topic (contagion in pageviews among linked articles) from an econometrics perspective: Spillovers in Networks of User Generated Content – Evidence from 23 Natural Experiments on Wikipedia http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2356199 On Mon, Dec 30, 2013 at 9:42 PM, Kerry Raymond kerry.raym...@gmail.comwrote: No, you can’t for reasons on privacy. See: https://en.wikipedia.org/wiki/Help:Watching_pages#Privacy But, I concur with your theory that edits are contagious. I often find that when I get the notification that a watched page has changed, I go and look at the page. While I am there, I often spot a “little thing that needs doing”, which sometimes is just a simple single edit and other times initiates a marathon of editing activity for the next couple of days J If you want to test this theory, I think using at the set of editors of the page might be a pretty good approximation of the watchlist. A lot of people have the “add the pages and files I edit to my watchlist” set in their preferences (I know I do). For the purpose of declaring one edit as being contagious (that is, causes another edit), what criteria would you use? I would assume you need some time bounds here. I think there needs to be “kick-off” edits identified. These would be edits that occurred sufficiently long after the previous edit that contagion could not be factor. Then after the kick-off edit, you would be looking for one or more “reaction” edits that occurred fairly quickly after one another, suggesting a contagion based on watchlists. So it seems there are two time parameters: the kick-off threshold and the reaction threshold. I don’t think these are necessarily the same value (i.e. is there is some grey zone in-between where the edits can be categorised as neither kick-off nor reaction?). In terms of setting these threshold(s), you might need some real-life data to train on. So maybe you could start by asking if some editors would send you a copy of their watchlist and you could write a script that compared it with their edit history over the same time frame (plus a bit to cater for bursty-ness). From that you could come up with a set of edits that look like contagious ones and you could ask the editors to say “yes / no / don’t remember” to try to see if 1) contagion appears to be happening 2) what the time thresholds need to be. Then test it on a bigger set of data using edit history as a proxy for watchlists. Kerry -- *From:* wiki-research-l-boun...@lists.wikimedia.org [mailto: wiki-research-l-boun...@lists.wikimedia.org] *On Behalf Of *Klein,Max *Sent:* Tuesday, 31 December 2013 2:26 PM *To:* wiki-research-l@lists.wikimedia.org *Subject:* [Wiki-research-l] Polling the watcher's of a page. Possible? Hello Research, It it possible to query for the watchers of a page? It does not seem to be in the API, nor is the watchers or wl_user table in the Data Base replicas (where I thought MediaWiki stores it. I imagine this is for privacy reasons, correct? If so, how would one gain access? I have been talking with an econophysicist who thinks that we could apply a contagion algorithm, to see which edits are contagious. (I met this econopyhicist at the Berkeley Data Science Faire at which Wikimedia Analytics presented, so it was worth it in the end). Maximilian Klein Wikipedian in Residence, OCLC +17074787023 ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l -- Brian C. Keegan, Ph.D. Post-Doctoral Research Fellow, Lazer Lab College of Social Sciences and Humanities, Northeastern University Fellow, Institute for Quantitative Social Sciences, Harvard University Affiliate, Berkman Center for Internet Society, Harvard Law School b.kee...@neu.edu www.brianckeegan.com M: 617.803.6971 O: 617.373.7200 Skype: bckeegan ___ Wiki-research-l mailing list Wiki-research-l@lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
