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Fwd: ACM JOCCH Special Issue Call for Papers on Evaluation of Digital Cultural Resources
by Jonathan Morgan 08 Sep '17

08 Sep '17

Looks to be an interesting venue for people doing Wikipedia research with a focus on cultural heritage (esp. GLAM/WikiLoves research?). Manuscripts are due November 30, and it looks like they accept several types of submissions <http://jocch.acm.org/authors.cfm#type-of-papers>. ---------- Forwarded message ---------- From: Roberto Scopigno <pubs(a)acm.org> Date: Fri, Sep 8, 2017 at 7:00 AM Subject: ACM JOCCH Special Issue Call for Papers on Evaluation of Digital Cultural Resources To: jmorgan(a)wikimedia.org <http://www.acm.org/> ACM Journal on Computing and Cultural Heritage (JOCCH) *Special Issue on Evaluation of Digital Cultural Resources* Guest Editors *Maria Economou*, University of Glasgow, UK *Ian Ruthven*, University of Strathclyde, Glasgow, UK *Areti Galani*, University of Newcastle, UK *Milena Dobreva*, UCL Qatar *Marco de Niet*, University of Leiden Library, The Netherlands ------------------------------ *Scope and Context* Digital technologies are affecting all aspects of our lives, reshaping the way we communicate, learn, and approach the world around us. In the case of cultural institutions, digital applications are used in all key areas of operation, from documenting, interpreting and exhibiting the collections to communicating with diverse audience groups. The communication of collections information in digital form, whether an online catalogue, mobile application, museum interactive or social media exchange, increasingly affects our cultural encounters and shapes our perception of cultural organizations. Although cultural and higher education institutions around the world are heavily investing on digitization and working to make their collections available online, we still know very little about who uses digital collections, how they interact with the associated data, and what the impacts of these digital resources are. The issue seeks to address this gap by bringing together interested parties from a range of disciplines (e.g. digital heritage, museology, information studies, digital humanities), practices and sectors to discuss the latest developments on evaluating the use of cultural digital resources. *Topics and Themes* The issue will appeal to academics and practitioners working in a range of disciplines: cultural heritage workers, arts professionals and scholars interested in issues relating to digital resources and their impact upon curation, education, engagement and outreach. We invite submissions of both theoretical and practical approaches, efforts and trends in this emergent field presenting innovative research. Topics and issues to be addressed include but are not limited to: - Who uses digital cultural resources, where, and how these resources changed the consolidated working practice - Addressing diverse users' needs and expectations (i.e. from schoolchildren and families to students and researchers) - Assessing impact, use and value of digital cultural resources (methodologies, approaches and issues) - Ways of recording and assessing impact and value - Models of access to digital collections - Evaluating participatory models of work in digital cultural heritage (crowdsourcing, citizen science, co-creation, co-curation) - Moving from impact to value when assessing digital resources - Use of evaluation data in the curation of digital collections - Integrating evaluation when working with communities in digital cultural heritage - Adapting old and testing new innovative methods when evaluating quality, use and effectiveness of digital cultural resources - User studies - Metrics, webmetrics, infometrics and usage statistics - Evaluating emotional impact in digital heritage - Research on impact of social media on the usage of digital cultural resources *Organizers* The idea for this special issue arose from the activities of the Scottish Network on Digital Cultural Resources Evaluation (ScotDigiCH) ( scotdigich.wordpress.com/ <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-16b81x312d8cx047…>), funded by The Royal Society of Edinburgh in 2015-2016, and particularly from the discussions and papers presented at the International Symposium on Evaluating Digital Cultural Resources (EDCR2016) which took place in Glasgow in December 2016 (scotdigich.wordpress.com/events/symposium/ <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-16b81x312d8dx047…>). ScotDigiCH is coordinated by Information Studies at the University of Glasgow in collaboration with The Hunterian at the University of Glasgow, Glasgow Life Museums, the Moving Image Archive of the National Library of Scotland and the Department of Computer and Information Science at the University of Strathclyde. This focused issue arises from the work of ScotDigiCH but invites submissions from all researchers and cultural heritage practitioners working in this area. *Paper Submission* Papers submitted to this special issue for possible publication must be original and must not be under consideration for publication in any other journal or conference. Previously published or accepted conference papers must contain at least 30% new material to be considered for the special issue. Accepted papers will be published in the *ACM Journal on Computing and Cultural Heritage*. Papers will be reviewed following the journal's standard review process. Please follow the format instructions for the journal (jocch.acm.org/authors.cfm <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-16b81x312d8ex047…>). All manuscripts must be prepared according to the journal publication guidelines which can also be found on the website provided above. All papers are to be submitted at mc.manuscriptcentral.com/jocch <https://orange.hosting.lsoft.com/trk/click?ref=znwrbbrs9_6-16b81x312d8fx047…>. Upon submission, under "Article Type", please select "*Evaluation of Digital Cultural Resources*" or your manuscript will not be reviewed correctly for the special issue. Please address inquiries to Maria.Economou(a)glasgow.ac.uk. *Important Dates* - Paper submission deadline: *November 30, 2017* - First Author Notification: January 30, 2018 - Revised papers expected: March 30, 2018 - Final acceptance notification: May, 2018 - Publication: Issue 4, 2018 ------------------------------ If you do not want to receive future emails about publishing in ACM journals, unsubscribe <https://optout.acm.org/unsubscribe.cfm?re=jmorgan@wikimedia.org&rl=CFP>. Association for Computing Machinery Two Penn Plaza, Suite 701, New York, NY 10121-0701, USA Copyright 2017, ACM, Inc. -- Jonathan T. Morgan Senior Design Researcher Wikimedia Foundation User:Jmorgan (WMF) <https://meta.wikimedia.org/wiki/User:Jmorgan_(WMF)>

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research blog post on wrong quotation in wp article
by Patrick Sahle 08 Sep '17

08 Sep '17

A very nice example for a wrong quotation in wp article and its further use in literature can now be found here: https://parergon.hypotheses.org/256 Best, Patrick -- Apl. Prof. Dr. Patrick Sahle CCeH Logo <http://cceh.uni-koeln.de> Universität zu Köln <http://www.uni-koeln.de> - Cologne Center for eHumanities (CCeH) <http://www.cceh.uni-koeln.de/> Koordinierungsstelle Digital Humanities der Nordrhein-Westfälischen Akademie der Wissenschaften <http://cceh.uni-koeln.de/DH-AWK/> Data Center for the Humanities <http://www.dch.uni-koeln.de/> DiXiT ITN <http://www.dixit.uni-koeln.de/> Institut für Dokumentologie und Editorik <http://www.i-d-e.de> Twitter Logo @patrick_sahle <https://twitter.com/patrick_sahle> - @CCeHum <https://twitter.com/CCeHum> - @DiXiT_EU <https://twitter.com/DiXiT_EU> - @ideinfo <https://twitter.com/ideinfo> - @dhd2018 <https://twitter.com/dhd2018> Postanschrift: Cologne Center for eHumanities (CCeH), Universität zu Köln, Albertus-Magnus-Platz, D-50923 Köln Büro: Meister-Ekkehart-Str. 11, Raum 2.04; Telefon: +49 - (0)221 - 470 3894

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Diff logic used in Wikipedia Detox project
by Pinkesh Badjatiya 05 Sep '17

05 Sep '17

Hello, I was exploring the dataset shared in the Wikipedia Detox <https://meta.wikimedia.org/wiki/Research:Modeling_Talk_Page_Abuse> project. I was trying to use the similar diff logic to obtain the changes from a page using *revid* but realized that the Wikipedia API provides only the diff of the revision with its earlier version. I am able to fetch the diffs for a set of *revids* using the Wikipedia API, but I am unable to extract only the changed sentences in the revision. I found this <https://github.com/ewulczyn/wiki-detox/blob/master/src/data_generation/diff…> particular script from the project source files that contain bits of what might have been used in the actual data collection process to obtain the changes from the Talk pages, but I am unable to figure out the high-level information such as input/output formats etc. Can anyone provide a solution to this or any suggestions on how to proceed? Also, It would be really beneficial if I could use the same diff logic as used by the original authors to ensure consistency. Meanwhile, I have asked a similar question on StackOverflow <https://stackoverflow.com/questions/46010675/extract-changes-from-wikipedia…> and emailed the original Wikimedia author of the paper. Regards, Pinkesh Badjatiya pinkeshbadjatiya(a)gmail.com IIIT Hyderabad

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stat1002 and stat1003 deprecated. Please use new stat boxes
by Andrew Otto 05 Sep '17

05 Sep '17

Hi all! tl;dr: Stop using stat100[23] by September 1st. We’re finally replacing stat1002 and stat1003. These boxes are out of warranty, and are running Ubuntu Trusty, while most of the production fleet is already on Debian Jessie or even Debian Stretch. stat1005 is the new stat1002 replacement. If you have access to stat1002, you also have access to stat1005. I’ve copied over home directories from stat1002. stat1006 is the new stat1003 replacement. If you have access to stat1003, you also have access to stat1006. I’ve copied over home directories from stat1003. I have not migrated any personal cron jobs running on stat1002 or stat1003. I need your help for this! Both of these boxes are running Debian Stretch. As such, packages that your work depends on may have upgraded. Please log into the new boxes and try stuff out! If you find anything that doesn’t work, please let me know by commenting on https://phabricator.wikimedia.org/T152712. Please be fully migrated to the new nodes by September 1st. This will give us enough time to fully decommission stat1002 and stat1003 by the end of this quarter. I’ve only done a single rsync of home directories. If there is new data on stat1002 or stat1003 that you want rsynced over, let me know on the ticket. A few notes: - stat1002 used to have /a. This has been removed in favor of /srv. /a no longer exists. - Home directories are now much larger. You no longer need to create personal directories in /srv. - /tmp is still small, so please be careful. If you are running long jobs that generate temporary data, please have those jobs write into your home directory, rather than /tmp. - We might implement user home directory quotas in the future. Thanks all! I’ll send another email in about a months time to remind you of the impending deadline of Sept 1. -Andrew Otto

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Overview sentiment analysis of Wikipedia ^articles
by Flöck, Fabian 02 Sep '17

02 Sep '17

Hi, I’m currently looking for research/tools that give a complete (and fairly recent) overview about how much “sentiment” vocabulary is contained in *articles* of the English or any other Wikipedia. It could be just a simple matching of current sentiment dictionaries to article text. Just to get an idea how much (or better: little) vocabulary with a specific polarity Wikipedia contains recently and/or over time. Informal research welcome as well :) I found some older papers (like [1]), but mostly also just for a smaller subset of articles. Mostly, sentiment analysis is (understandably) just a means to an end in papers, so they don’t provide a comprehensive overview of the whole article set. Any pointers are appreciated. Thanks, Fabian [1] http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/6545/pdf/imm6545.pdf

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Call for workshop proposals: Applied Machine Learning Days at EPFL, Switzerland
by Robert West 02 Sep '17

02 Sep '17

Possibly of interest for those working on ML in the context of Wiki(p|m)edia. --------------------------------- *Applied Machine Learning Days* <https://www.appliedmldays.org> is the largest event focusing on the application of machine learning and artificial intelligence on various domains. Following the successful inaugural event in January 2017, we are excited to announce the second edition of AMLD, to be held again at the Swiss Tech Convention Center at EPFL in Lausanne, Switzerland. The goal of the event is to get machine learning techniques out to the larger community of both scientific researchers and industry practitioners, and to new application domains. In addition, the event will offer plenty of opportunities to make interesting connections with many industry professionals, scientists, students and anyone interested. This year, in addition to main conference, we will use the preceding weekend to focus on “hands on” experiences using machine learning. We are now opening a call for workshops (or other similar events). If you or your organization would like to do a half day, full day or two day workshop at AMLD, this is your chance to make it happen! Three themes will be particularly featured during the weekend: - open data & open source; - women in technology; - and "machine learning in business and in society". We also accept workshops proposals related to applied machine learning in general. The workshops will take place on January 27 & 28, 2018 (Saturday and Sunday) on the ground floor of the Swiss Tech Convention Center. Food and drinks will be provided throughout the day. If in doubt, reach out! If you have an idea for a workshop or an event, but are unsure, please talks to us! Reach out to one of the co-organizers Marcel Salathé <marcel.salathe(a)epfl.ch>, Martin Jaggi <martin.jaggi(a)epfl.ch> or Robert West <robert.west(a)epfl.ch>. *Submission deadline:*October 1, 2017 *Notification:*October 15, 2017 *Submit proposals here:*https://www.appliedmldays.org/call_for_workshops

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Fwd: Postdoctoral Fellowship at IU: Simulation of Information Diffusion in Online Social Networks
by Giovanni Luca Ciampaglia 31 Aug '17

31 Aug '17

---------- Forwarded message --------- From: Fil Menczer <filmenczer(a)gmail.com> Date: Wed, Aug 30, 2017 at 8:57 PM Subject: Postdoctoral Fellowship at IU: Simulation of Information Diffusion in Online Social Networks To: Combating Fake News: The Science of Misinformation < fakenewssci(a)googlegroups.com>, <pfgn(a)googlegroups.com> Please help spread the word about this position, which is highly relevant to the diffusion of fake news and misinformation: http://cnets.indiana.edu/blog/2017/08/30/socialsim-postdoc/ The Center for Complex Networks and Systems Research (cnets.indiana.edu) at Indiana University, Bloomington has an open postdoctoral position to study how information spreads through complex online social networks. The position funded by the DARPA program on Computational Simulation of Online Social Behavior (SocialSim). The anticipated start date for this position is January 1, 2018 (negotiable). This is an annual renewable appointment for up to 3 years subject to performance and funding. The postdoc will join a dynamic and interdisciplinary team that includes computer, physical, and cognitive scientists. The postdoc will work with PIs Filippo Menczer, Yong-Yeol Ahn and Alessandro Flammini, other postdocs, and several PhD students on analysis and modeling of social media data. Areas of focus will include empirical analysis of information diffusion patterns, agent-based models for the spread of information, and cognitive models of information processing. Go to osome.iuni.iu.edu for further details on the team and related current projects. The ideal candidate will have a PhD in computing, mathematical or physical sciences; a strong background in analysis and modeling of complex systems and networks; a strong interest in computational social science; and solid programming skills necessary to handle big data and develop large scale simulations. To apply, upload a letter of interest, a CV, a list of publications, and names and emails for three professional references using this online application link (http://indiana.peopleadmin.com/postings/4468). Questions may be sent to by email to Tara Holbrook (https://cnets.indiana.edu/contact/). For best consideration, apply by 8 October 2017. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment without regard to age, ethnicity, color, race, religion, sex, sexual orientation or identity, national origin, disability status or protected veteran status. -Fil Filippo Menczer Professor of Informatics and Computer Science Center for Complex Networks and Systems Research Indiana University Network Science Institute http://cnets.indiana.edu/fil -- You received this message because you are subscribed to the Google Groups "Post Fact Global Network" group. To unsubscribe from this group and stop receiving emails from it, send an email to pfgn+unsubscribe(a)googlegroups.com. To post to this group, send email to pfgn(a)googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/pfgn/CAGu3Ug8E808x_S3CnRFU4JJDgEyHv1rS-Em… . For more options, visit https://groups.google.com/d/optout. -- Giovanni Luca Ciampaglia <http://glciampaglia.com/> *∙* Assistant Research Scientist, Indiana University SocInfo 2017 <http://socinfo2017.oii.ox.ac.uk/> *∙* Register NOW <http://socinfo2017.oii.ox.ac.uk/#registration> WWW 2018 <https://www2018.thewebconf.org/> *∙* Alternate track on Journalism, Misinformation, and Fact Checking <https://www2018.thewebconf.org/call-for-papers/misinformation-cfp/>

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feedback appreciated
by Caroline Sinders 30 Aug '17

30 Aug '17

hi all, i just started a column with fast co and wrote an article about elon musk's AI panic. https://www.fastcodesign.com/90137818/dear-elon-forget-killer-robots-heres-… would love some feedback :) best, caroline

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ground truth for section alignment across languages
by Leila Zia 30 Aug '17

30 Aug '17

Hi all, ==Question== Do you know of a dataset we can use as ground truth for aligning sections of one article in two languages? I'm thinking a tool such as Content Translation may capture this data somewhere, or there may be some other community initiative that has matched a subset of the sections between two versions of one article in two languages. Any insights/directions is appreciated. :) I'm not going to worry about what language pairs we do have this dataset in right now, the first question is: do we have anything? :) ==Context== As part of the research we are doing to build recommendation systems that can recommend sections (or templates) for already existing Wikipedia articles, we are looking at the problem of section alignment between languages, i.e., given two languages x and y and two version of article a in these two languages, can an algorithm (with relatively high accuracy) tell us which section in the article in language x correspond to which other section in the article in language y? Thanks, Leila -- Leila Zia Senior Research Scientist Wikimedia Foundation

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Re: [Wiki-research-l] ground truth for section alignment across languages
by Lucie-Aimée Kaffee 30 Aug '17

30 Aug '17

Hi Leila, >From the top of my head, I can think of this paper only I've read a while ago: https://eprints.soton.ac.uk/403386/1/tweb_gottschalk_demidova_multiwiki.pdf I assume what is to be considered is the (lack of) content overlap of articles in different languages in general as of, for example, http://dl.acm.org/citation.cfm?id=1753370 which also compares different language Wikipedias but more in the sense of completeness. Sounds like interesting work, looking forward to seeing what you come up with! All the best, Lucie On 30 August 2017 at 00:13, Leila Zia <leila(a)wikimedia.org> wrote: > Hi Scott, > > > On Mon, Aug 28, 2017 at 2:01 AM, Scott Hale <computermacgyver(a)gmail.com> > wrote: > > Dear Leila, > > > > ==Question== > >> Do you know of a dataset we can use as ground truth for aligning > >> sections of one article in two languages? > >> > > > > This question is super interesting to me. I am not aware of any ground > > truth data, but could imagine trying to build some from > > [[Template:Translated_page]]. At least on enwiki it has a "section" > > parameter that is to be set: > > nice! :) Thanks for sharing it. It is definitely worth looking into > it. I did some search across a few languages and the usage of it is > limited, in es, around 600, for example and once you start slice and > dicing it, the labels become too few. but still, we may be able to use > it now or in the future. > > >> ==Context== > >> As part of the research we are doing to build recommendation systems > >> that can recommend sections (or templates) for already existing > >> Wikipedia articles, we are looking at the problem of section alignment > >> between languages, i.e., given two languages x and y and two version > >> of article a in these two languages, can an algorithm (with relatively > >> high accuracy) tell us which section in the article in language x > >> correspond to which other section in the article in language y? > >> > > > > > > While I am not aware of research on Wikipedia section alignment per se, > > there is a good amount of work on sentence alignment and building > > parallel/bilingual corpora that seems relevant to to this [1-4]. I can > > imagine an approach that would look for near matches across two Wikipedia > > articles in different languages and then examine the distribution of > these > > sentences within sections to see if one or more sections looked to be > > omitted. One challenge is the sub-article problem [5], which of course > you > > are already familiar. I wonder whether computing the overlap in article > > links a la Omnipedia [6] and then examining the distribution of these > > between sections would work and be much less computationally intensive. I > > fear, however, that this could over identify sections further down an > > article as missing given (I believe) that article links are often > > concentrated towards the beginning of an article. > > exactly. > > a side note: we are trying to stay away, as much as possible, from > research/results that rely on NLP techniques as the introduction of > NLP will usually translate relatively quickly to limitations on what > languages our methodologies can scale to. > > Thanks, again! :) > > Leila > > > > > [1] Learning Joint Multilingual Sentence Representations with Neural > > Machine Translation. 2017 > > https://arxiv.org/abs/1704.04154 > > > > [2] Fast and Accurate Sentence Alignment of Bilingual Corpora. 2002. > > https://www.microsoft.com/en-us/research/publication/fast- > and-accurate-sentence-alignment-of-bilingual-corpora/ > > > > [3] Large scale parallel document mining for machine translation. 2010. > > http://www.aclweb.org/anthology/C/C10/C10-1124.pdf > > > > [4] Building Bilingual Parallel Corpora Based on Wikipedia. 2010. > > http://www.academia.edu/download/39073036/building_ > bilingual_parallel_corpora.pdf > > > > [5] Problematizing and Addressing the Article-as-Concept Assumption in > > Wikipedia. 2017 > > http://www.brenthecht.com/publications/cscw17_subarticles.pdf > > > > [6] Omnipedia: Bridging the Wikipedia Language Gap. 2012. > > http://www.brenthecht.com/papers/bhecht_CHI2012_omnipedia.pdf > > > > Best wishes, > > Scott > > > > -- > > Dr Scott Hale > > Senior Data Scientist > > Oxford Internet Institute, University of Oxford > > Turing Fellow, Alan Turing Institute > > http://www.scotthale.net/ > > scott.hale(a)oii.ox.ac.uk > > _______________________________________________ > > Wiki-research-l mailing list > > Wiki-research-l(a)lists.wikimedia.org > > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l > > _______________________________________________ > Wiki-research-l mailing list > Wiki-research-l(a)lists.wikimedia.org > https://lists.wikimedia.org/mailman/listinfo/wiki-research-l >

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