534:: A paper published last month by the Kansas Journal of Medicine asked "Are students able and willing to edit Knowledge (XXG) to learn components of evidence-based practice?" In 2007 and 2008, two groups of senior medical students at the University of Texas Health Science Center at San Antonio participated in an exercise where they were asked "to place succinct summaries of studies in Knowledge (XXG)" (after a four hour introductory course on wikis). In a survey, 91% of them said that the project should be offered again in the next year, and 71% planned to edit Knowledge (XXG) again. (The authors caution that this group was self-selected.) The articles were examined two months after their edits, and 46% of the students had their contribution improved in some way, while "the pages edited by 62% of students had additional edits in response to incidental vandalism to the pages, but in no instance was the vandalism done to an edit by a student".
581:, released a report titled "Geographies of the World's Knowledge" visualizing the temporal and geographical distribution of Knowledge (XXG) articles. Drawing from roughly 1.5 million articles in a 2010 database download, the report revealed among other findings that more articles had been written about Antarctica (7,800) than any South American or African nation, that the country with the most internet users (China) accounted for barely 1% of articles, that its biographical articles overwhelmingly geolocate to Western Europe and, from the 18th century on, North America, and that vastly more biographies per year were written for the 20th and particularly the 21st century compared to preceding time periods. The report is released under a Creative Commons BY-NC-ND license.
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Based on a spam/ham corpus constructed as in the other paper, this paper contains some further analysis of the characteristics of link spam destinations and spamming accounts, and of the exposure spammed links receive before they are removed (determined by both the link's lifespan and the popularity of the spammed page). The most sensitive part of the paper then leverages these results to "describe a novel and efficient spam model we estimate can significantly outperform status quo techniques", e.g. by rapidly adding links to exploit the time lag of
Knowledge (XXG)'s spam removal process, or targetting popular pages. In a nod to
591:, titled "Measuring the Development of Knowledge (XXG)", explores the development of the number of edits and the number of participants on the English Knowledge (XXG) from 2002 to 2007 (curiously asserting that "there is only 6 years data"). As first result, the research "reveals that the number of edits and the total number of participants both increased in Knowledge (XXG) from 2002 to 2007". The paper's most tangible contribution appears to consist of histograms plotting the number of users with a particular edit count in each of the years 2002 to 2007, which the author finds "are similar with the
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Foundation). Among findings are differences between language versions of
Knowledge (XXG), such as that the "the number of edits tends to raise in weekends" for the French, Japanese, Dutch and Polish Knowledge (XXG), but not for other languages. Another paper, titled "Circadian patterns of Knowledge (XXG) editorial activity: A demographic analysis", similarly analyzed "34 Wikipedias in different languages to characterize and find the universalities and differences in temporal activity patterns of editors", with the underlying data provided by the German Wikimedia chapter from the
462:", averaged over all voters in each camp, and combined into a weighted difference). Closeness, PageRank, and eigenvector centrality were found to have the largest regression coefficients in predicting the outcome of an RfA, suggesting to the authors "that decisions of influential nodes can affect the outcome of the RfA process. Although it was not studied in this paper, a possible explanation for this result is that influential users may sway other users to vote the same way and this aggregate behavior may have an impact on the result of the election".
185:. The study by Antin and collaborators sampled 256,190 users who created a new account on the English Knowledge (XXG) between September 2010 and February 2011 and qualitatively coded their contribution by category of wiki work. The results suggest that, whereas in the lower three quartiles by activity level men and women make roughly the same contributions in each category of wiki work, in the top quartile editors behave in a significantly different way. The researchers found that among the top 25% of Wikipedians by activity level:
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edit had been rolled back (to determine spam), or whether it had been added by a user with rollback rights (to determine ham). From this, the researchers derived numerous features that indicate link spamming behavior, in three areas: On-wiki evidence (including very simple metrics such as the URL's length â spam links tend to be shorter â or that older and more popular articles are more likely to be targeted), properties of the
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423:"Factors that motivate participation": As a first result, the researchers found that the number of a user's contacts who already voted in an RfA, and (more strongly) whether the user had been in contact with the candidate, "contribute positively to the probability of a userâs participation in an election. This may be due to the fact that voters are inclined to support candidates with whom they are acquainted with."
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involved setting up a fake webshop to measure how many
Knowledge (XXG) readers would have carried out an actual purchase of the penis enlargement pills advertised in the links. The case led to the researcher's temporary ban as a Knowledge (XXG) user, later lifted by the arbitration committee, and informed the research guidelines drafted later that year by the Wikimedia Foundation's Research Committee. See
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coefficients with the expected sign (acquaintance with the candidate weighing positively), and the authors conclude that "we can already explain voting behavior by just examining the immediate neighborhood of a voter", but note that "it is interesting to note that the presence of contacts who have voted negatively weighs more heavily compared with those who voted positively."
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382:"It is in no way this researchâs intention to facilitate damage to Knowledge (XXG) or any wiki host. The vulnerabilities discussed in this section have been disclosed to Knowledge (XXG)âs parent organization, the Wikimedia Foundation (WMF). Further, the WMF was notified regarding the publication schedule of this document and offered technical assistance."
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conducted between 2004 and 2008 (48% of them successful, with 7,231 users voting or running in at least one RfA, and 80% of the final non-neutral votes being supportive), and "1,097,223 instances of communication between 265,155 distinct pairs of users" who had run or voted in an RfA â from user talk page messages, an undirected
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495:. The study suggests that "Knowledge (XXG) provides better coverage and longer articles, and that it typically has more articles on women than Britannica in absolute terms, but we also find that Knowledge (XXG) articles on women are more likely to be missing than are articles on men relative to Britannica". See the
220:("Donât bite the newbies: how reverts affect the quantity and quality of Knowledge (XXG) work"), reports on the effects of reverts on the quality and quantity of Knowledge (XXG) editors, with a specific focus on newbies. The study uses a number of key metrics to assess the quality of editor contributions (using
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Reverts affect the quality of one's work: reverted editors are less likely to be reverted in the future (particularly in the week after the revert), whereas the probability of being reverted in the control group keeps growing every week. Reverted editors are also less likely to make important changes
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as the first stage (currently containing around 17000 regular expressions), recent changes patrollers (often aided by software tools) as the next â often reacting within seconds after an edit, watchlisters as the third (within minutes to days), and finally review by normal readers as the last stage.
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this seems like a dubious analysis: "reverted editors are less likely to be reverted in the future (particularly in the week after the revert), whereas the probability of being reverted in the control group keeps growing every week." the second part can be rephrased as "the longer you edit the more
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A paper titled "Temporal characterization of the requests to
Knowledge (XXG)" examined how search requests, read accesses and edits on Knowledge (XXG) change over time, and relate to those at the entirety of Wikimedia sites (based on squid logs for the whole year of 2009, provided by the Wikimedia
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software by one of the authors, which is already widely used as an anti-vandalism tool on the
English Knowledge (XXG), the researchers collected mainspace edits adding external links and extracted a corpus of 5,962 link additions classified as either ham or spam, using criteria such as whether the
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My point is that the first part is a good interpretation, but the second part (once recast as I do), is not a good comparison: since everyone gets reverted eventually (even it its due to making a page-breaking error, or because one accidentally waded into a can of worm), it is the normal behavior
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My thoughts exactly! The fact that reverted editors edit less and non-reverted editors edit more is very likely due to the caliber of the edits made. Bad editors, editors that are clowning around or vandalizing, are apt to be reverted and also less likely to edit in the future than "good" editors
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However, the paper fails to mention that last year, one of its authors conducted actual, extensive tests of spamming techniques on the
English Knowledge (XXG) that are very similar to those outlined in the paper. The spam attacks gained the attention of several IT security news websites, and even
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parameter over the years (a measure of the inequality associated with the postulated Pareto distribution) â calling it "vital to model the participation situation in
Knowledge (XXG)" -, the actual values are never given. The abstract promises "an equation to predict future development trend of
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in the shape, we assume that the participation situation in
Knowledge (XXG) is one type of the Pareto Distribution". A large part of the four page paper (available for $ 26) is devoted to general explanations of this distribution. It also mentions the need to use a statistical method such as
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and the on-wiki social contacts of participants. The paper includes a brief review of existing literature (in particular two papers which already studied the relation with existing social networks). Drawing from a
January 2008 dump of the English Knowledge (XXG), they analyzed 2,587 elections
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that calculates an editor's variation of activity across weeks with respect to the week preceding the revert, normalized by the editor's daily rate of activity). The results point at the same time at the important role of reverts as a learning and quality improvement process but also at their
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As "Factors that influence voting" (i.e. the support/oppose decision) the authors considered the numbers of "support" and "oppose" votes that a user's contacts have already cast when the user votes, and whether the user had been in contact with the candidate before. All yielded regression
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that the link points to (these were found to be less useful), and classification from third-party sites, including Alexa and Google Safe
Browsing. The backlinks data provided by Alexa proved to be most useful for the classifier that the authors went on to construct, and tested in a live
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Not so sure about the current variety of wildlife, last I heard Antarctica was mostly ice cap with a few penguins round the coast. Things would have been very different a few million years ago, but in recent millennia there has not been much plantlife except in the surrounding seas.
517:. Drawing from new qualitative research (interviews with editors of the Spanish Knowledge (XXG)) as well as existing quantitative research, the book concludes that recognizing the gifts Wikipedians make, through meritocracy and explicit acknowledgement, helps motivate participation.
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I didn't take the time to follow the link aboveâI'm just skimming through hereâbut I just wanted to say, don't forget microbes when you consider the topic of "wildlife in Antarctica"âI bet Antarctica has a lot of microbes that we don't know about yet. Cheers,
476:. They found that "in contrast to diurnal pattern, which is universal to a great extent, weekly activity patterns of WPs show remarkable differences. We could, however, identify two main categories, namely 'weekends' and 'working days' active WPs."
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Compared with their activity prior to a revert, in the first week after a revert reverted editors decrease their activity by 0.1 standard deviations compared with an increase in a control group of non-reverted editors of about 0.3 standard
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to confirm the optical impression that the histograms follow the Pareto distribtion, but it remains unclear if the author actually carried this out. Also, despite emphasizing several times the importance of determining the changes in the
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making good edits, who aren't reverted and go on to edit more. The fact that one is reverted and the other isn't is incidental to the fact that the caliber of the groups, on average, is different. Now, if one were to study the effect of
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While Antarctica vs. country may make for a nice sound bite, it's very much apples and oranges. Whereas Antarctica's population may be just a handful, its scientific significance and the variety of wildlife are well, continent-sized.
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Just a important general note about reverts: Not all editors are equal. The dumber a person is, the more likely it is that they will be reverted. So, even if reverts suppress future editing, this is not necessarily a bad thing.
349:, link spam is currently "an annoying, but non-pervasive issue", but could become a grave threat to Knowledge (XXG) if new spam techniques that were explored by some of them in another paper (see below) become more widespread.
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560:. The author applies this ontology to extract provenance for Knowledge (XXG) articles and to assess their quality, thereby identifying "several collaboration patterns that are preferable or detrimental for data quality".
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Reverts affect newbies more negatively. Experienced editors are less affected by reverts on their average activity while newbies are significantly less likely to continue editing after a revert than experienced
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Could the standard deviation results be expressed in less technical terms so that 95% of readers know what it means? One standard deviation, BTW, is a range of about 34% on both sides of the mean, or average.
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It matters who performs a revert: editors reverted by a registered editor do not recover to the average level of activity for at least one month, whereas editors reverted by anonymous users recover much
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556:: A (closed access) doctoral dissertation defended at the University of Arizona presents a "domain ontology of provenance for Knowledge (XXG) based on the W7 model", building on the notion of the
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491:: An article by Joseph Reagle and Lauren Rhue titled "Gender bias in Knowledge (XXG) and Britannica" examines gender bias in biographical coverage, comparing the English Knowledge (XXG) and the
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410:, presented at the International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2011) two months ago, examined statistical relations between the voting behavior in
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to an article after being reverted, compared with the control group. However, the productivity of reverted editors in the following weeks increases more rapidly than non-reverted editors.
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A paper addressing gender imbalance in Knowledge (XXG) ("Gender differences in Knowledge (XXG) editing") by Judd Antin and collaborators won the "Best Short Paper" award at
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summarizing his new book with JoaquĂn RodrĂguez ( âEl Potlatch Digital: Knowledge (XXG) y el Triunfo del ProcomĂșn y el Conocimiento Compartidoâ , published in Spanish by
378:, the researchers admit that "there is the possibility that we have introduced previously unknown vectors", but the "Ethical Considerations" section emphasizes that:
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In another paper, presented earlier this month at CEAS â11, five authors from the same university including two of the same researchers examine the possibility of "
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Reinoso, Antonio J., Jesus M. Gonzalez-Barahona, Rocio Muñoz-Mansilla, and Israel Herraiz (2011). Temporal characterization of the requests to Knowledge (XXG). In
1299:, the largest solely terrestrial animal indigenous to Antarctica. (The WP article definitely needs work -- at least someone should add which parts of Antarctica
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S.T.K. Lam, A. Uduwage, Z. Dong, S. Sen, D.R. Musicant, L. Terveen, and J. Riedl (2011). WP:Clubhouse? An Exploration of Knowledge (XXG)'s Gender Imbalance. In
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Just to clear up potential confusion, my comment isn't in reply to yours. It's a separate note. I put mine here just because the heading was apropos.
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Halfaker, Aaron, Aniket Kittur, and John Riedl (2011). Don't Bite the Newbies: How Reverts Affect the Quantity and Quality of Knowledge (XXG) Work.
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1337:. This goes a long way towards explaining the apparent imbalance, which (as Uchucha says) is based on the numbers of geotagged articles only. --
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Badgett, Robert G, and Mary Moore (2011). Are students able and willing to edit Knowledge (XXG) to learn components of evidence-based practice?
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top female editors make significantly larger revisions than men in at least two categories: "adding new content" and "rephrasing existing text"
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J. Leskovec, D. Huttenlocher, J. Kleinberg (2010) Governance in Social Media: A case study of the Knowledge (XXG) promotion process. In:
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Yasseri, Taha, Sumi, Róbert, Kerétsz, Jånos (2011). Circadian patterns of Knowledge (XXG) editorial activity: A demographic analysis,
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Cabunducan, Gerard, Ralph Castillo, and John Boaz Lee (2011). Voting behavior analysis in the election of Knowledge (XXG) admins. In:
232:, to measure the survival across revisions of words added by an editor, other than stop-word) and changes in editor activity (using a
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Ferron, Michela, and Paolo Massa (2011). Collective memory building in Knowledge (XXG): The case of North African uprisings.
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Top female Wikipedians, reverted newbies, link spam, social influence on admin votes, Wikipedians' weekends, WikiSym previews
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implementation in the STiki tool. They conclude that "it is clear this work will benefit the Knowledge (XXG) community".
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Many of our Antarctic articles are short stubs rehashing information from the public domain USGS gazetteer (such as
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J. Leskovec, D. Huttenlocher, J. Kleinberg (2010) Predicting positive and negative links in online social networks.
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Proceedings of the 5th International Workshop on New Challenges in Distributed Information Filtering and Retrieval
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509:, a traditional gift-giving ceremony whose participants gain status based on the generosity of their gifting, in
313:. The analysis of Knowledge (XXG) coverage of the Egyptian revolution, by a team of Italian researchers based in
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A.G. West and I. Lee (2011). What Knowledge (XXG) Deletes: Characterizing Dangerous Collaborative Content. In
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Antin, Judd, Raymond Yee, Coye Cheshire, and Oded Nov (2011). Gender Differences in Knowledge (XXG) Editing.
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The authors also point to the implementation of the spam mitigation tool described in the WikiSym article.
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probable you will get reverted". Insofar as EVERYONE gets reverted eventually, it doesn't mean much to me.
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305:. It will feature two papers focusing on Knowledge (XXG)'s coverage of rapidly changing events such as the
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Finally, the paper examined "Influential voters in the social network", by calculating various well-known
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to read online, having been released under an accommodating Creative Commons licence (CC BY-NC-SA 3.0).
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that as time without a revert rise, the probability that you will get reverted obviously will too.
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These results are consistent with the findings by Summer of Research fellows on the effects of
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El potlatch digital. Knowledge (XXG) y el triunfo del procomĂșn y el conocimiento compartido
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examining revision deletion in the English Knowledge (XXG) (see also the summary posted on
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Knowledge (XXG)", but it remains unclear to this reviewer which equation this refers to.
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Reagle, Joseph, and Lauren Rhue (2011). Gender Bias in Knowledge (XXG) and Britannica.
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was one of the articles edited by the University of Texas students during the course.
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369:". They picture spam detection on Knowledge (XXG) as a pipelined process, with the
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The two papers on gender gap mentioned above will be presented in a session titled
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Further Knowledge (XXG) coverage at WikiSym 2011: Social dynamics and global reach
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2011 International Conference on Advances in Social Networks Analysis and Mining
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negative effects on new contributors. Below are highlights from this study:
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of "best full paper" to another study on the gender gap already covered in
540:: Joseph Reagle's 2010 book on the cultural dynamics of Knowledge (XXG),
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858:(DART 2011). ETSI Caminos, Canales y Puertos (UPM), September 13, 2011.
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Two plots show the changes in an editor's boldness after being reverted.
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2011 International Conference on Internet Technology and Applications
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WikiSym 2011: Proceedings of the 7th International Symposium on Wikis
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WikiSym 2011: Proceedings of the 7th International Symposium on Wikis
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WikiSym 2011: Proceedings of the 7th International Symposium on Wikis
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WikiSym 2011: Proceedings of the 7th International Symposium on Wikis
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metrics for both the "support" and "oppose" camps in each election ("
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Large scale vandalism revealed to be 'study' by university researcher
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W7 model of provenance and its use in the context of Knowledge (XXG)
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WikiSym '11: Proceedings of the 7th International Symposium on Wikis
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in the research newsletter, such as a study by researchers from the
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505:: Spanish researcher Felipe Ortega compares Knowledge (XXG) to the
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Autonomous link spam detection in purely collaborative environments
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67:
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He, Zeyi (2011). Measuring the Development of Knowledge (XXG). In
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341:" session at WikiSym will see the presentation of a paper titled "
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Assuming a normal distribution... let's not jump to conclusions.
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Geographic location of edits for English Knowledge (XXG) article
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Link spam research with controversial genesis but useful results
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286:, along with other original works some of which were already
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Oh... I'll put in a separator line to try and clarify that.
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31:
398:" (includes a background interview with the researcher).
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AAAI International Conference on Weblogs and Social Media
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upon future participation, that would be informative...
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Wikipedia_talk:Wikipedia_Signpost/2011-09-19/In_the_news
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Good Faith Collaboration: The Culture of Knowledge (XXG)
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JosĂ© Felipe Ortega and JoaquĂn RodrĂguez LĂłpez (2011).
983:. PhD dissertation, The University of Arizona, 2011.
1171:If your comment has not appeared here, you can try
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775:ACM WWW International conference on World Wide Web
419:was generated. Their results concern three areas:
1327:), with over 10,000 pages currently transcluding
467:Wikipedians' weekends in international comparison
216:researchers, including Summer of Research fellow
1004:Graham, M., Hale, S. A. and Stephens, M. (2011)
1008:. Ed. Flick, C. M., London, Convoco! Edition.
585:Knowledge (XXG) found to have grown until 2007
169:What the most active female editors contribute
587:: A paper by a sociology researcher from the
489:Gender bias in Knowledge (XXG) and Britannica
301:A second research session will be devoted to
192:women tend to make larger revisions than men;
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189:only 27% of all revisions are made by women;
183:previous editions of the research newsletter
260:community interactions with new Wikipedians
499:with the full datasets used in this study.
345:". According to the five authors from the
1535:Knowledge (XXG) Signpost archives 2011-09
532:How medical students edit Knowledge (XXG)
367:Link spamming Knowledge (XXG) for profit
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18:Knowledge (XXG):Knowledge (XXG) Signpost
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554:Provenance for Knowledge (XXG) articles
881:International Journal of Communication
406:A paper by three researchers from the
303:Knowledge (XXG) as a global phenomenon
408:University of the Philippines Diliman
402:How social ties influence admin votes
317:(from the same lab that released the
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1006:Geographies of the Worldâs Knowledge
564:Geographies of the World's Knowledge
538:Ethnography of wikiculture set free
311:2011 TĆhoku earthquake and tsunami
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1293:And don't forget the presence of
1156:These comments are automatically
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200:Effects of reverts on wiki work
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1235:04:54, 27 September 2011 (UTC)
1204:03:11, 27 September 2011 (UTC)
1167:add the page to your watchlist
412:requests for adminships (RfAs)
328:), is available as a preprint.
212:Another WikiSym 2011 paper by
1:
598:maximum likelihood estimation
503:Knowledge (XXG) as a potlatch
284:Understanding Knowledge (XXG)
577:, in collaboration with the
1396:malicious or bad reversions
1214:20:52, 3 October 2011 (UTC)
908:, Catedra, September 2011.
566:: as already mentioned in
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954:Reagle, Joseph M. (2010).
931:Kansas Journal of Medicine
347:University of Pennsylvania
292:University of Pennsylvania
1264:See Ucucha's comments at
579:Oxford Internet Institute
339:Wiki tools and interfaces
234:controlled activity delta
226:Persistent Word Revisions
575:floatingsheep collective
543:Good Faith Collaboration
371:MediaWiki spam blacklist
307:2011 Egyptian revolution
276:2011 Egyptian revolution
958:. The MIT Press, 2010.
933:4(3), August 30, 2011.
493:Encyclopedia Britannica
1164:. To follow comments,
1079:
529:
497:accompanying blog post
460:eigenvector centrality
456:clustering coefficient
444:betweenness centrality
319:WikiTrip visualization
278:
209:
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1353:Reverting and quality
1325:Metavolcanic Mountain
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883:5 (2011): 1138â1158.
833:(September 8, 2011).
524:
273:
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1303:has been found.) --
1160:from this article's
440:closeness centrality
222:reverts per revision
1067:"Recent research" â
593:Pareto distribution
177:. This follows the
1296:Belgica antarctica
1151:Discuss this story
1131:Arbitration report
1121:WikiProject report
1080:
589:University of York
530:
279:
210:
42:â Back to Contents
37:
1175:purging the cache
1136:Technology report
1088:26 September 2011
1059:"Recent research"
777:(WWW '10), 2010.
526:Bowel obstruction
515:Ediciones CĂĄtedra
159:Dario Taraborelli
54:26 September 2011
47:View Latest Issue
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1470:The Signpost
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1272:, 2011-09-27
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359:landing page
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325:The Signpost
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151:Tilman Bayer
1516:Suggestions
1429:Jason Quinn
1377:Jason Quinn
1227:Jztinfinity
1220:Antarctica.
1158:transcluded
1116:In the news
394:coverage: "
323:covered in
242:deviations.
611:References
474:toolserver
352:Using the
79:Share this
74:Contribute
22:2011-09-26
1510:Subscribe
1162:talk page
546:, is now
214:GroupLens
1529:Category
1505:Newsroom
1500:Archives
1482:Mastodon
1478:Facebook
1254:Chequers
1211:Dcoetzee
1057:Previous
652:, 2011.
627:, 2011.
570:Signpost
507:potlatch
483:In brief
452:PageRank
392:Signpost
376:WP:BEANS
309:and the
288:reviewed
254:editors.
179:awarding
121:LinkedIn
101:Facebook
20: |
1474:Twitter
1443:Circéus
1415:Circéus
1400:Carrite
1360:Circéus
1305:llywrch
1270:Jeandré
1033:, IEEE
558:five Ws
296:AcaWiki
246:faster.
175:WikiSym
111:Twitter
1339:Avenue
1276:13:55z
1199:(talk)
573:, the
458:, and
436:degree
315:Trento
131:Reddit
91:E-mail
1495:About
1268:. --
1250:Spiel
831:ArXiV
807:video
779:video
354:STiki
337:The "
16:<
1490:Home
1447:talk
1433:talk
1419:talk
1404:talk
1381:talk
1364:talk
1343:talk
1309:talk
1286:Ÿ-10
1245:Ïąere
1231:talk
1193:Tony
1065:Next
961:HTML
911:HTML
224:and
161:and
141:Digg
1480:or
1472:on
1036:DOI
1011:PDF
986:PDF
936:PDF
886:PDF
861:PDF
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811:PDF
783:PDF
755:DOI
730:PDF
705:PDF
680:PDF
655:PDF
630:PDF
230:PWR
228:or
149:By
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