221:) views of Knowledge (XXG) as a teaching tool. The main factors are shown to be the perception of colleagues’ opinion about Knowledge (XXG) and the perceived quality of the information on Knowledge (XXG). As the authors note, while prior studies also pointed to the quality concerns, this study suggests a causal link between colleagues' views and one's perception of Knowledge (XXG) quality. The authors conclude that the strong peer culture within academia makes the importance of role models very significant, which in turn has implications for the segment of the Wikimedia movement that desires greater ties with the academic world. The authors also note that "despite the lack of institutional support and acknowledgement, a growing number of academics think it is very useful and desirable to publish research results or even intermediate data in open repositories", an attitude that also correlates positively with positive views of Knowledge (XXG). To quote the authors' very valid recommendation: "For those faculty members already using Knowledge (XXG) as a learning tool, we think it would have greater impact if they publicly acknowledged their practices more, especially to their close colleagues, and explain their own teaching experiences as well as the effects it has had on the students’ academic performance." The team behind the paper is also partnering in the
321:: Yet another study (pre-print), considering 5 articles, showed that English Knowledge (XXG) page views trends can forecast the peak in influenza-like illnesses in the USA. Essentially, by visiting the articles in question, users are self-reporting their (suspect) disease, some weeks in advance of the data collected centrally by a government agency based on medical practitioners' reports of the same. Another study, again focused on some English Knowledge (XXG) articles, reached the same conclusion with slightly different (and, notably, fully open source) methods, for 14 diseases, while producing a useful list of some dozens past studies on the matter.
252:"Gender differences within the German-language Knowledge (XXG)" is a pair of close readings of two gender-driven talk page conflicts on the German Knowledge (XXG) from 2006 and 2013, "show exemplarily that a) the feministic gender discourse in Knowledge (XXG) is not appreciated – primarily by male Wikipedians – and b) that discussions behind the scenes of Knowledge (XXG) can feature an unpleasant and rude nature, that is not very appealing and motivating for female contributors". The analysis aims to focus on the communication styles of the gendered personalities as viewed under the critical rubrics of
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272:, it is highlighted that the male-appearing participants use instruction and discrediting statements; and the female-appearing tend to question intellectual capabilities and give advice. Finally the authors conclude that "the most crucial point is the fact that the female author gave up ," stopping responding less than 24 hours into the discussion, and that the change advocated for was not enacted. These deconstructed examples add to an evidence of a hypothesis that minority voices are crowded out in Open Culture, as purported by the
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387:. While the use of Knowledge (XXG) in education has dominated the relevant discussions, Wikinews seems like a valuable, yet underused tool for journalists-in-training. Though this essay-like paper seems to describe the experience in a positive fashion, it does not contain any specific conclusions, nor a list of articles edited by the students that would allow for a more-in depth commentary in the context of the Wikimedia learning experience.
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1533:, all the more since the WMF has not done an editor survey since then. So, if it is ever published, this will be the last data point on the gender gap for the foreseeable future. What do you suggest can be done to get the Foundation to release it? I am at my wits' end: I have asked about it on two mailing lists, I and others have left talk page messages for Tilman in three projects, there are enquiries from
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with the delightful "Gender diversity should be understood as a chance to spread up
Knowledge (XXG)’s angle..." Most of the rest of the discussion is taken up with more literature review, there are attempts to propose solutions, but these are based upon arguments from someone who's biography got deleted, rather than the results of the analysis presented by the authors.
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How anyone can believe that analysis of two talk-page conversations can lead to robust scientifically based proposals to improve the gender gap, or indeed anything other than a list of research questions is beyond me. Even more so, given the effort that must have gone into producing a 17 page paper,
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By the discussion section the paper is falling apart. It starts with a 108 word sentence that even the users of agglutinative languages might recoil at - it has been split into two paragraphs, by some sensitive copy-editor perhaps, in the middle of the phrase "prevents
Knowledge (XXG)". It continues
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Edgardo
Ferretti, Marcelo Errecalde, Maik Anderka, Benno Stein: On the Use of Reliable-Negatives Selection. Strategies in the PU Learning Approach for Quality Flaws Prediction in Knowledge (XXG). In: Proceedings of the 25th International Workshop on Database and Expert Systems Applications (DEXA’14):
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From the abstract: "The research findings show that content contribution is more driven by extrinsically oriented motivations, including reciprocity and the need for self-development, while community participation is more driven by intrinsically oriented motivations, including altruism and a sense of
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infection during an outbreak in the country. Nearly all information was received passively (mainly from TV, radio and newspapers, but also social media); of the minuscule minority who actively sought information, most turned to their newspaper website, or ended up (with highest satisfaction among all
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Sadly the substantive part of the paper is (as the authors put it) "exemplary" (I would rather say "anecdotal", but maybe they actually meant "exemplary", though in which of its senses would be hard to divine) - and examines a couple of threads for conformance to other authors' characterisations of
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Anecdata and data based on small samples is very common within anthropology and ethnography, and is a perfectly valid approach to research. I'm not actually sure what the point of most of your message is, however; it seems to be railing against the injustices of runon sentences in the paper. Unless
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was. The survey's talk page is full of community members asking for this data, yet all inquiries directed at Tilman over the past half year have been ignored. Can we please have this data – just the simple gender split: x% male, y% female, z% other? It is now over 2 years since the survey ran, and
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However laying that aside, it is important to realise that gender gap can be categorically stated to require more to explain it than "the communication style of the collaborative network". This basically is a variation the naive response of many years ago that "men are rude, therefore women don't
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Knowledge (XXG) in higher education; gender-driven talk page conflicts; disease forecasting: A paper titled "Factors that influence the teaching use of
Knowledge (XXG) in Higher Education" uses the technology acceptance model to shed light on faculty's (of Universitat Oberta de Catalunya) views of
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might be "I received blood and I want to give back" where the blood received is certainly extrinsic, and abstract "I (or my family) might need blood" - there is in neither case any legal obligation, though one might consider a stronger moral obligation in the first case. Whether a moral code is
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editing, and secondarily that when they do edit, they edit less, and for a shorter period. While the communication style is important, given what other research has established, it can only be expected to explain a relatively small part of the secondary problem, and hence changing it will by no
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Suggested tweaks: point to the CRAN libraries rather than the GitHub ones, and note that
WikipediR was released in April 2014. That's not a particularly new thing (or a particularly recent thing - if you've tried writing API client libraries before httr you'll know how much of a pain it was).
315:(arbitration committee), which existed from 2007 to 2008. It was composed of admins, received complaints which in 80 % of cases involved admins, dismissed nearly all cases presented, ruled against the claimant in a large majority of accepted cases, and was finally dissolved in 2009.
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For reference the conclusion seems to be "Thus, not only women need to be trained to survive the hostile environment, maybe the competitive concept of knowledge production needs to be changed." - the "competitive concept" here seems to be the tactic of out-waiting a
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tool showed that the newcomers who gave feedback via the MoodBar were significantly more likely to become longer-term contributors. After six months, 3.6% of editors who were able to use the MoodBar were still editing, compared to 3.3% of those who did not have the
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From the abstract: "In this paper, we utilize article ratings from
Knowledge (XXG) users for the first time to assess article quality. We define 'low-quality' based on those ratings and design automatic methods to identify potential low-quality
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edit". We have established to a reasonable degree that what is perceived as a "hostile editing environment" is as discouraging to males as to females. The reasons that we have the gender gap we do are primarily that females do not
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male and female discourse, with mixed results. It then draws some conclusions out of thin air for example: "She obviously felt offended or did not believe that the conversation would come to an amicable or at least reasonable end."
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to give (or find donors for) an equal or more often greater amount of blood. This is clearly a form of mandated reciprocity, which is extrinsic. I should, I suppose, read the full paper if I can find a copy. All the best:
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last month, who said, "I looked through my papers the last time you asked, and I don't think I have it. I'd send it to you if I did." This is an absurd situation: donor money paid for this survey. Yet for
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However, none of the studies has focussed on the communication style of the collaborative network in order to answer the question why and how this female underrepresentation could be explained and ideally
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The authors promise - that "Our findings will be analysed with regard to the impact that
Knowledge (XXG) has as a source of knowledge on its users and producers considering the public discourse" is not
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merely in terms of literature review and typing, is why anyone would publish such a paper without asking a native
English speaker to at least read through and pick out the solecisms.
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839:. The European Conference on Education 2014 Brighton, United Kingdom Official Conference Proceedings. Naka Ward, Nagoya, Aichi Japan: The International Academic Forum (IAFOR).
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To what extent do talk page contributions of gender identifiable editors on
Knowledge (XXG) follow existing models of gender differentiation of on-line communication?
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393:: This workshop paper presents a method to automatically identify articles in the New York Times archive matching a particular event mentioned on Knowledge (XXG) (
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Ciampaglia, Giovanni Luca; Dario
Taraborelli (2014-09-04). "MoodBar: Increasing New User Retention in Knowledge (XXG) through Lightweight Socialization".
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Roberto Yus, Varish Mulwad, Tim Finin, and Eduardo Mena: "Infoboxer: Using Statistical and Semantic Knowledge to Help Create Knowledge (XXG) Infoboxes"
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that reciprocity is an extrinsic motivation? I think the senses of justice and fairness are often considered intrinsic because third parties are
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Hickmann, Kyle S.; Geoffrey Fairchild; Reid Priedhorsky; Nicholas Generous; James M. Hyman; Alina Deshpande; Sara Y. Del Valle (2014-10-22).
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Sefidari, Maria; Felipe Ortega (2014-12-10). "Evaluating arbitration and conflict resolution mechanisms in the Spanish Knowledge (XXG)".
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and Nina Schuppener. In the degenerating arguments around whether or not the welcome message on the German Knowledge (XXG)'s main page (
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707:"Public knowledge and preventive behavior during a large-scale Salmonella outbreak: results from an online survey in the Netherlands"
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465:"On the Use of Reliable-Negatives Selection. Strategies in the PU Learning Approach for Quality Flaws Prediction in Knowledge (XXG).
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Stewart Whiting, Joemon M. Jose, Omar Alonso: Knowledge (XXG) as a Time Machine. WWW’14 Companion, April 7–11, 2014, Seoul, Korea.
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Meseguer Artola, Antoni; Eduard Aibar Puentes; Josep Lladós Masllorens; Julià Minguillón Alfonso; Maura Lerga Felip (2014-12-11).
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the researchers read the signpost (or frankly, even if they do), this is just...heh. "instruction and discrediting statements".
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This is an extremely important data point. If there are methodological issues, I am sure we can address them. All the best:
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One item that may have been of interest (and of use) had it been phrased as a RQ, and applied to a significant amount of data
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A monthly overview of recent academic research about Knowledge (XXG) and other Wikimedia projects, also published as the
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that facilitates longitudinal page-view analyses has been created. The package is a wrapper on top of long-time service
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1488:'s report covers gender issues, this seems as good a place as any to ask Tilman once more what the gender split in the
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327:: A statistically significant survey in the Netherlands assessed with what efficacy the population was informed about
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Velsen, Lex van; DesiréJMA Beaujean; Julia EWC van Gemert-Pijnen; Jim E. van Steenbergen; Aura Timen (2014-01-31).
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Use of Knowledge (XXG) in higher education influenced by peer opinions and perception of Knowledge (XXG)'s quality
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The extrinsic/intrinsic motivation talked about in that paper is the apparent motivation for the first act.
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904:"An Empirical Study of Motivations for Content Contribution and Community Participation in Knowledge (XXG)"
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Generous, Nicholas; Geoffrey Fairchild; Alina Deshpande; Sara Y. Del Valle; Reid Priedhorsky (2014-11-13).
420:"An Empirical Study of Motivations for Content Contribution and Community Participation in Knowledge (XXG)"
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You may find my few lines more tiring to re-read than I found the original 17 pages, so I will summarize.
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A paper titled "Factors that influence the teaching use of Knowledge (XXG) in Higher Education" uses the
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11th International Workshop on Text-based Information Retrieval (TIR’14), Munich, Germany, 2014. IEEE.
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and numerous other editors on the survey talk page in Meta dating back almost two years, yet the only
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I found it interesting that in 95% of the cases presented to Spanish ArbCom were dismissed in 2008.
990:"The political economy of wilkiality: a South African inquiry into knowledge and power on wikipedia"
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Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing
447:"The political economy of wilkiality: a South African inquiry into knowledge and power on wikipedia"
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Sichler and Prommer address an important question, unfortunately they overstate its role saying
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863:. Proceedings of the 7th Workshop on Ph.D Students. PIKM '14. New York, NY, USA: ACM. pp. 1–8.
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460:"Infoboxer: Using Statistical and Semantic Knowledge to Help Create Knowledge (XXG) Infoboxes"
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No one proof read the paper, and the English is appalling, leading to ambiguities of meaning.
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The final sentence of the paper is so abominably written that it almost defies understanding.
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he effect that the motivation of an agent has on the reciprocating behavior of another agent
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I'm not sure. It seems to me that reciprocity can be concrete or abstract - examples from
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The authors do not appear to be familiar with existing research that is relevant to theirs.
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363:. This marks an uptick in the popularity of the R language for Knowledge (XXG) analysis as
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Knowledge (XXG) in higher education; gender-driven talk page conflicts; disease forecasting
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Analysis of two gender-driven talk page conflicts on the German-language Knowledge (XXG)
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now, the gender split has been shut in some drawer at WMF that nobody wants to open. --
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A list of other recent publications that could not be covered in time for this issue –
308:: A short recounting by Sefidari and Ortega (pre-print) summarised the history of the
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this simple piece of data should take less than a minute to report. Thank you.
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490:"Factors that influence the teaching use of Knowledge (XXG) in Higher Education"
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Firstly I am not certain that this is a valid reading of the existing research.
1032:. Computational Social Sciences. Springer International Publishing. pp. 91–99.
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834:"Learning skills in journalistic skepticism while recognising whistleblowers"
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Knowledge (XXG) as a source of health information during salmonella outbreak
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is extrinsic. Conversely in American cases recipients of blood have been
1026:"Predicting Low-Quality Knowledge (XXG) Articles Using User's Judgements"
453:"Predicting Low-Quality Knowledge (XXG) Articles Using User's Judgements"
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in agreement about such scenarios when they have the same information.
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Questions of this subtlety are regularly answered by other researchers.
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was also recently released which itself wraps many common mediawiki
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590:"Forecasting the 2013–2014 Influenza Season Using Knowledge (XXG)"
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Journal of the Association for Information Science and Technology
812:"Introduction to Public Attention Analytics with Wikipediatrend"
649:"Global Disease Monitoring and Forecasting with Knowledge (XXG)"
268:, or newer more neutral alternatives, like using parentheses in
539:"Gender differences within the German-language Knowledge (XXG)"
340:: A study on one dataset produced by the (mostly discontinued)
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Roles, Trust, and Reputation in Social Media Knowledge Markets
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Two new papers on disease forecasting using Knowledge (XXG)
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They base arguments on random comments from opinion pieces
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in an undergraduate journalism course at the Australian
391:"Linking Today's Knowledge (XXG) and News from the Past"
379:: This paper discusses an educational project that used
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I agree that it is an extremely important data point,
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Linking Today's Knowledge (XXG) and News from the Past
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for reviewing or summarizing newly published research.
437:"Hacking Trademark Law for Collaborative Communities"
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Reciprocity isn't actually an extrinsic motivation:
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Gender split in 2012 Knowledge (XXG) Editor Survey?
1198:If your comment has not appeared here, you can try
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Hacking Trademark Law for Collaborative Communities
1445:intrinsic or extrinsic is hard to say - certainly
970:. Rochester, NY: Social Science Research Network.
338:Most MoodBar users became longer-term contributors
260:) and German Knowledge (XXG) articles in general (
207:(Open University of Catalonia) in Barcelona, Spain
334:sources) on official websites or Knowledge (XXG).
296:" as seen in the English Knowledge (XXG) article
1024:Zhang, Ning; Lingyun Ruan; Luo Si (2015-01-01).
537:Sichler, Almut; Elizabeth Prommer (2014-12-22).
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306:History of the Spanish Knowledge (XXG)'s ArbCom
966:Welinder, Yana; Stephen LaPorte (2014-08-05).
1028:. In Elisa Bertino; Sorin Adam Matei (eds.).
543:ESSACHESS - Journal for Communication Studies
292:showing the clusters of cholera cases in the
8:
377:Use of Wikinews to teach journalism students
349:New R libraries for Knowledge (XXG) research
1652:Knowledge (XXG) Signpost archives 2014-12
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18:Knowledge (XXG):Knowledge (XXG) Signpost
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1419:do you agree with the implication in
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427:"Knowledge (XXG) as a Time Machine"
313:Comité de resolucíon de conflictos
31:Knowledge (XXG) as a teaching tool.
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1183:These comments are automatically
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412:contributions are always welcome
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1244:means "balance" the gender gap.
266:generic male pronouns and nouns
218:Universitat Oberta de Catalunya
215:to shed light on faculty's (of
204:Universitat Oberta de Catalunya
1194:add the page to your watchlist
1:
186:Wikimedia Research Newsletter
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1465:00:45, 4 January 2015 (UTC).
1407:23:07, 3 January 2015 (UTC).
1359:21:58, 3 January 2015 (UTC).
1287:01:14, 3 January 2015 (UTC).
908:Information & Management
684:10.1371/journal.pcbi.1003892
617:10.1371/journal.pcbi.1004239
423:belonging to the community."
262:2013/14 straw poll talk page
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1565:12:35, 4 January 2015 (UTC)
1508:11:57, 3 January 2015 (UTC)
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1038:10.1007/978-3-319-05467-4_6
213:technology acceptance model
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594:PLOS Computational Biology
902:Xu, Bo; Dahui Li (2015).
405:Other recent publications
920:10.1016/j.im.2014.12.003
832:Blackall, David (2014).
724:10.1186/1471-2458-14-100
385:University of Wollongong
988:Ovesen, Håvard (2014).
869:10.1145/2663714.2668048
857:Mishra, Arunav (2014).
781:10.1145/2675133.2675181
310:Spanish Knowledge (XXG)
294:London epidemic of 1854
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1191:. To follow comments,
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1005:Cite journal requires
441:http://collabmark.org/
353:R programming language
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1600:Share your feedback.
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439:(related website:
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241:Maximilianklein
235:
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159:Piotr Konieczny
152:
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90:
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69:Recent research
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1348:All the best:
1346:
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1148:Traffic report
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1138:News and notes
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361:stats.grok.se
358:
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155:Federico Leva
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1596:The Signpost
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1482:Tbayer (WMF)
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1277:
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1162:
1143:In the media
1131:all comments
1074:
1062:
1029:
1019:
998:cite journal
983:
967:
961:
949:
911:
907:
897:
891:preprint PDF
859:
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446:
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298:Epidemiology
269:
251:
239:Reviewed by
238:
222:
216:
210:
202:
183:
167:Tilman Bayer
1633:Suggestions
1185:transcluded
817:31 December
517:10609/39441
258:2006 thread
1519:Farmbrough
1460:Farmbrough
1402:Farmbrough
1354:Farmbrough
1282:Farmbrough
1256:disputant.
717:(1): 100.
475:References
456:articles."
330:Salmonella
83:Share this
78:Contribute
22:2014-12-31
1627:Subscribe
1579:Ironholds
1310:Ironholds
1295:Ironholds
1267:redeemed.
1230:balanced.
1189:talk page
1007:|journal=
927:0378-7206
844:2188-1162
772:1409.1496
732:1471-2458
666:1405.3612
607:1410.7716
574:1412.3695
554:1775-352X
493:(Article)
431:presented
366:WikipediR
290:John Snow
1646:Category
1622:Newsroom
1617:Archives
1451:required
1211:Tutelary
1094:Previous
934:13156558
748:24479614
692:25392913
634:25974758
524:13566791
381:Wikinews
355:library
351:: A new
276:theory.
125:LinkedIn
105:Facebook
20: |
1552:Andreas
1495:Andreas
1447:bushido
1428:EllenCT
1424:usually
1379:EllenCT
975:2476779
797:2285423
740:3913330
671:Bibcode
626:4431683
395:dataset
345:option.
342:MoodBar
280:Briefly
115:Twitter
1543:Phoebe
1539:answer
373:calls.
135:Reddit
95:E-mail
1612:About
1548:years
1241:start
1153:Op-ed
931:S2CID
837:(PDF)
794:S2CID
767:arXiv
661:arXiv
602:arXiv
569:arXiv
521:S2CID
16:<
1607:Home
1583:talk
1531:Rich
1516:Rich
1457:Rich
1432:talk
1399:Rich
1383:talk
1351:Rich
1299:talk
1279:Rich
1215:talk
1102:Next
1042:ISBN
1011:help
972:SSRN
924:ISSN
873:ISBN
841:ISSN
819:2014
785:ISBN
745:PMID
729:ISSN
689:PMID
631:PMID
551:ISSN
245:talk
201:The
171:Pine
169:and
145:Digg
1561:466
1504:466
1480:As
1340:RQ1
1081:PDF
1068:PDF
1034:doi
916:doi
865:doi
777:doi
736:PMC
719:doi
679:doi
622:PMC
612:doi
513:hdl
505:doi
371:API
153:By
80:—
1648::
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1557:JN
1522:,
1500:JN
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1092:←
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