X-Git-Url: https://projects.mako.cc/source/state_of_wikimedia_research_2015/blobdiff_plain/e81c29d5c75e06321cf9ff70cad305fbe4fa2963..7cd2a85d1c8bc2d5189e0ad63b44756dc3b24b3d:/20150717-wikimania_research.tex?ds=sidebyside

diff --git a/20150717-wikimania_research.tex b/20150717-wikimania_research.tex
index 4f85bf6..8150bad 100644
--- a/20150717-wikimania_research.tex
+++ b/20150717-wikimania_research.tex
@@ -286,8 +286,8 @@
   \item \e{2968} Wikipedia-related publications in the Scopus database
     as of November 2013
 
-  \item \e{160} recent publications reviewed or mentioned in the 12 issues
-    of the Wikimedia Research Newsletter August 2013-July 2014.
+  \item \e{191} recent publications reviewed or mentioned in the 12 issues
+    of the Wikimedia Research Newsletter from July 2014 to June 2015.
   \end{itemize}
 
 \end{frame}
@@ -307,6 +307,7 @@
   \item Represent \e{important themes} from Wikipedia in the last year.
   \item Research that is likely to be of \e{interest} to Wikimedians.
   \item Research by people who are \e{not at Wikimania}.
+  \item \ldots with a bias towards \e{peer-reviewed} publications 
   \end{itemize}
 
   \note{This is my disclaimer slide...
@@ -318,88 +319,524 @@
 \section{Paper Summaries}
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
-% \subsection{Event Prediction}
+\begin{frame}
+  \centertext{6em}{Wikipedia as a Source of Data}
+
+  \note{Mako}
+\end{frame}
+
+\begin{frame}
+
+  \frametitle{Wikipedia as a source of data}
+
+  \larger \larger Ronen, S., GonÃ§alves, B., Hu, K. Z., Vespignani, A.,
+  Pinker, S., \& Hidalgo, C. A. (2014). \e{Links that speak: The
+    global language network and its association with global
+    fame}. Proceedings of the National Academy of Sciences, 111(52),
+  E5616âE5622. \href{http://doi.org/10.1073/pnas.1410931111}{doi:10.1073/pnas.1410931111}
+
+\end{frame}
+
+\begin{frame}
+  \frametitle{How to measure the global influence of languages?}
+
+  \larger \larger
+
+  \e{Traditional} methods rely on:
+
+  \begin{itemize}
+    \larger \larger
+  \item \e{Population} of speakers
+  \item \e{Income} or political power of speakers
+  \end{itemize}
+
+  Paper presents \e{new network method} based on measuring
+  \e{co-speakers} of languages in several data sources including
+  Wikipedia.
+
+\end{frame}
+
+\begin{frame}
+  \frametitle{Wikipedia as a source of data: Ronen et al.}
+
+  \includegraphics[width=\textwidth]{figures/ronen_fig1.png}
+
+  \note{Two languages are connected when users that edit an article in
+    one Wikipedia language edition are significantly more likely to
+    also edit an article in the edition of the other language.
+
+    If an editor of Spanish is also likely to edit Galician, we'll
+    call those languages connected.}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Wikipedia as a source of data: Ronen et al.}
+
+  \includegraphics[width=\textwidth]{figures/ronen_people.png}
+
+  \note{\begin{itemize}
+    \item The number of people per language (born 1800â1950) with
+      articles in at least 26 Wikipedia language editions as a
+      function of their languageâs eigenvector centrality.
+    \item The bottom row shows the number of people per language (born
+      1800â1950) listed in \emph{Human Accomplishment} (a book by
+      Charles Murray) as a function of their languageâs eigenvector
+      centrality.
+    \end{itemize}}
+\end{frame}
+
+
+\subsection{Community and Organization}
+
+\begin{frame}
+  \centertext{6em}{Community and Organization}
+
+  \note{Mako}
+\end{frame}
+
+\begin{frame}
+
+  \frametitle{Community and organization}
+
+  \larger \larger Warncke-Wang, M., Ranjan, V., Terveen, L., \& Hecht,
+  B. (2015). \e{Misalignment Between Supply and Demand of Quality Content
+  in Peer Production Communities}. In Ninth International AAAI
+  Conference on Web and Social Media (ICWSM).
+
+  % Retrieved from \href{http://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10591}{http://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10591}
+
+\end{frame}
+
+\begin{frame}
+  \frametitle{Community and organization: Warncke-Wang et al.}
+  
+  \larger \larger
+  \e{Perfect Alignment Hypothesis (PAH)}: There is an exact match
+  between the supply of high-quality content and the demand for it.
+
+  \bigskip
+
+  \includegraphics[width=\textwidth]{figures/warncke-english_confusion.pdf}
+
+  \note{\e{Quality}: Stub, Start, C, B, Good Article, A, Featured Article
+  
+    \e{Popularity}: equivalently sized buckets}
+\end{frame}
+
+\begin{frame}
+  \frametitle{Community and organization: Warncke-Wang et al.}
 
-% \begin{frame}
-%   \centertext{6em}{Event Prediction}
+  Measure of the degree of misalignment can be used to build lists of
+  categories that are relatively \e{``overproduced''} and
+  \e{``underproduced''}:
 
-%   \note{Mako
+  \bigskip
 
-%     This was the year that studies of readership of Wikipedia really
-%     blossomed. People figured out how to use the view data. Much of
-%     what they used it for was prediction.}
-% \end{frame}
+  \includegraphics[width=\textwidth]{figures/warncke-english_overunder.pdf}
+\end{frame}
+
+\subsection{Content Quality}
 
-% \begin{frame}
+\begin{frame}
+   \centertext{6em}{Content quality}
+
+   \note{Tilman
+
+     A decade after the landmark "Nature" study, there still aren't too
+     many systematic evaluations of the accuracy of Wikipedia's content. 
+     Health articles continue to receive scrutiny, though. With good 
+     reason: Wikipedia is "the most frequently consulted online health 
+     care resource globally" [NEJM article].}
+\end{frame}
+
+\begin{frame}
   
-%   \frametitle{Wikipedia Viewership and Flu Prediction}
+\frametitle{Quality of drug articles}
+
+   \larger \larger
+   Hwang et al., ``\e{Drug Safety in the Digital Age}.'' 
+   N Engl J Med 2014; 370:2460-2462 June 26, 2014 
+   \href{http://dx.doi.org/10.1056/NEJMp1401767}{doi: 10.1056/NEJMp1401767}.
+   \bigskip
+   
+   KrÃ¤enbring et al., \e{Accuracy and completeness of drug 
+   information in Wikipedia: a comparison with standard textbooks of 
+   pharmacology}. PLoS One 9 (9): e106930. 
+   \href{http://dx.doi.org/10.1371/journal.pone.0106930}
+   {doi:10.1371/journal.pone.0106930}
+   
+
+   \note{Tilman
+   
+     We selected two papers that evaluated drug articles, with 
+     different approaches. The first one is a short article in the 
+     extremely prestigious NEJM.}
+\end{frame}
 
-%   \larger \larger McIver, David J., and John
-%   S. Brownstein. ``\e{Wikipedia Usage Estimates Prevalence of
-%     Influenza-Like Illness in the United States in Near Real-Time}.''
-%   PLoS Comput Biol 10, no. 4 (April 17, 2014):
-%   e1003581. \href{http://dx.doi.org/10.1371/journal.pcbi.1003581}{doi:10.1371/journal.pcbi.1003581}.
+\begin{frame}
+  
+\frametitle{Quality of drug articles: NEJM}
 
-% \end{frame}
+   \includegraphics[width=0.49\textwidth]{figures/Pradaxa_tweet_FDAMedWach.png}
+   % from https://twitter.com/FDAMedWatch/status/281547908095041536
+   % = first one in the list at http://www.nejm.org/doi/suppl/10.1056/NEJMp1401767/suppl_file/nejmp1401767_appendix.pdf
+   \includegraphics[width=0.49\textwidth]{figures/Dabitragan_Contraindications_WP_FDA_warning}
+  
+   \tikz{\node [yshift=1.5cm,xshift=-0.4cm] at (current page.center) {\includegraphics[width=1.5cm]{figures/long-arrow-right.png}};}
+   \begin{itemize}
+     \larger \larger
+     \item The US Food and Drug Administration (\e{FDA}) frequently 
+     issues safety warnings about prescription drugs. How long does it 
+     take until these are reflected on English Wikipedia?
+     \item 41\% updated within two weeks (58\% for high-prevalent 
+     diseases), but 36\% still unchanged after more than a year.
+   \end{itemize}
+   
+   \note{Tilman
+   
+   Articles about drugs used to treat high-prevalent diseases (affecting 
+   > 1 m Americans / year) were updated faster.\\ 
+   But the result still caused concern.\\
+   Authors find "there may be a benefit to enabling the FDA to update or 
+   automatically feed new safety communications to Wikipedia pages, as 
+   it does with WebMD". The paper raised awareness among WikiProject 
+   Medicine editors, but there's no systematic updating mechanism yet.}
 
-% \begin{frame}
 
-%   \frametitle{Wikipedia Viewership and Flu Prediction: Motivation}
+\end{frame}
 
-%   \begin{itemize}
-%     \larger \larger
-%   \item \e{Google Flu Trends} uses search engine queries to try to
-%     predict influenza epidemics more quickly than traditional methods.
-%   \item ..but it has been criticized as being biased (e.g., by media coverage).
-%   \item WP is freely available and viewership data is free, unlike
-%     Google which is proprietary.
+\begin{frame}
 
-%   \end{itemize}
+\frametitle{Quality of drug articles: PLoS One}
 
-%   \note{2009 H1N1 Swine Flu broke GFT.}
-% \end{frame}
+  \begin{itemize}
+   \larger \larger \larger
+   \item Selected 100 drugs from German undergrad curriculum in pharmacology
+   \item Extracted information from two standard textbooks
+   \item "Accuracy of drug information in [German] Wikipedia was 99.7\%Â±0.2\% when compared to the textbook data." Similar results for English Wikipedia
+   \end{itemize}
+
+\end{frame}
+
+
+\begin{frame}
+
+\frametitle{Quality of drug articles: PLoS One}
+
+  \begin{itemize}
+   \larger \larger \larger
+   \item Completeness (as compared to the textbooks):
+   \begin{itemize} \larger \larger
+     \item 83.8\% (of 224 statements) for German WP
+     \item 87.2\% for English WP
+   \end{itemize}   
+   \item Completeness of contraindications information was 100\% in the En WP sample.
+   \item English WP cited academic publications more often than German WP.
+   \item Quality "significantly improved" in drug articles assessed 
+        in a 2010 study.
+   \end{itemize}
+
+    \note{Tilman
+    
+       The majority of the missing information (62.5\%) on German WP 
+       was judged non-relevant for undergrad students.
+    
+       The result on completeness of contraindications information is 
+       somewhat in contrast with the NEJM study. Then again, the 
+       textbooks were probably not perfectly up-to-date either.}
+\end{frame}
 
-% \begin{frame}
 
-%   \frametitle{Wikipedia Viewership and Flu Prediction: Methods}
 
-%   \begin{itemize}
-%   \larger \larger \larger
-%   \item Measure traffic to flu related articles on Wikipedia
-%   \item Compare to the ``gold standard'' data from the Center for
-%     Disease Control (CDC)
-%   \end{itemize}
+\begin{frame}
+   \centertext{6em}{Automation in Wikipedia}
 
-% \end{frame}
+   \note{Tilman
+   
+     Starting to see more practical applications of AI methods to editing.
 
-% \begin{frame}
-%   \frametitle{Wikipedia Viewership and Flu Prediction: Results}
+     Bots have been writing Wikipedia articles ever since back in 2002, 
+     User:Rambot covered US municipalities from US census data.
+     
+     Picked these two related papers for their somewhat unusual approach}
+\end{frame}
 
-%   \centering
-%   \includegraphics[width=\textwidth]{figures/flu.png}
 
-% \note{\begin{itemize}
-%   \larger \larger
+\begin{frame}
+  \frametitle{Automation in Wikipedia}
 
-%   \item Wikipedia better than Google at predicting peak flu weeks.
-%   \item Wikipedia better at predicting relative influenza rates.
-%   \end{itemize}}
+  \larger \larger
+  Banerjee et al., \e{Playscript Classification and Automatic Wikipedia 
+  Play Articles Generation}. 
+  2014 22nd International Conference on Pattern Recognition (ICPR). 
+  pp. 3630â3635. 
+  \href{http://dx.doi.org/10.1109/ICPR.2014.624}
+  {DOI:10.1109/ICPR.2014.624}
+  \href{http://www.cse.unt.edu/~ccaragea/papers/icpr14.pdf}{Author's copy}
+
+\end{frame}
+
+
+\begin{frame}
+
+\frametitle{Automation in Wikipedia: Bot-written theatre play articles}
+
+  \begin{itemize}
+   \larger \larger \larger
+   \item Bot searches for playscripts and related documents on the web
+     \bigskip
+   \item Extract key information from them, e.g.
+     \begin{itemize} \larger
+      \item The play's main characters
+      \item Relevant sentences from online synopses of the play
+      \item Mentions in Google Books and Google News (as evidence that 
+      the play satisfies Wikipedia's notability criteria)
+      
+      \end{itemize}
+      
+      \item Some heuristics to exclude non-encyclopedic sentences, e.g. 
+       first person statements
+      
+   \end{itemize}
+
+    \note{Tilman
+    
+	   NB: Most article creation bots work from well-defined databases
+	   (e.g. species, census data, geographical databases). 
+    
+       This bots finds article topics and online references itself, 
+       using an elaborate classifier algorithm to distinguish scripts 
+       from non-scripts.}
+\end{frame}
+
+\begin{frame}
+\frametitle{Automation in Wikipedia: Bot-written theatre play articles}
+
+  \includegraphics[width=0.3\textwidth]{figures/Fourteen_submission.png}
+  \begin{itemize}
+   \larger \larger \larger
+   \item 15 articles submitted at Articles for Creation. Two accepted 
+   by Wikipedia editors. One of them without major changes.
+   
+      
+   \end{itemize}
+
+    \note{Tilman
+    
+    Editors were unaware the articles had been automatically generated.
+    
+    
+    Related paper by some of the same authors:
+  
+    Banerjee et al., \e{WikiKreator: Improving Wikipedia Stubs 
+    Automatically}. \href{https://siddbanpsu.github.io/publications/acl2015-banerjee-preprint.pdf}
+    {preprint}, accepted paper at ACL2015
+    
+    Elaborate classifier method to find suitable web resources for 
+    expanding stubs - but copying sentences wholesale from these into
+    articles landed the bot (User:MightyPepper) in a \href{https://en.wikipedia.org/wiki/Wikipedia:Contributor_copyright_investigations/Archive#2015}{contributor copyright investigation}\ldots
+    }
+\end{frame}
+
+
+
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\subsection{Gender on Wikipedia}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\begin{frame}
+   \centertext{6em}{Gender Beyond the Gap}
+  
+
+   \note{Aaron:
+
+     Research focused on understanding gender dynamics in Wikipedia
+     and their impact is another area of research that has continued
+     to expand this year. A number of high quality papers came out,
+     several of which analyzed how gender figures in the content of
+     the encyclopedias.
+     }
+ \end{frame}
+
+ \begin{frame}
+   \frametitle{It's a Man's Wikipedia?}
+   \larger \larger Wagner, Claudia; David Garcia; Mohsen Jadidi; and Markus
+Strohmaier. 2015. \href{https://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10585}{``\e{It's a Man's Wikipedia? Assessing
+  Gender Inequality in an Online Encyclopedia}.''} Ninth International
+AAAI Conference on Web and Social Media (ICWSM).
+
+ \end{frame}
+
+ \begin{frame}
+
+   \frametitle{It's a Man's Wikipedia: Motivation}
+
+   \begin{itemize}
+     \larger \larger \larger
+   \item We know there's a gender gap.
+   \item Need for more multidimensional analysis of \e{how gender is
+     represented in content of articles across Wikipedias}.
+   \end{itemize}
+
+   \note{
+}
+ \end{frame}
+
+ \begin{frame}
+
+   \frametitle{It's a Man's Wikipedia: Methods}
+
+   \begin{itemize}
+   \larger \larger \larger
+   \item Use data from three sources (Freebase, ``Human
+     Accomplishment,'' and Pantheon) as baselines for comparison with
+     six Wikipedias (EN, ES, DE, FR, IT, RU).
+   \item Examine multiple potential forms of bias: coverage,
+     structure, lexical characteristics, visibility. 
+   \end{itemize}
+
+ \end{frame}
+
+ \begin{frame}
+   \frametitle{It's a Man's Wikipedia: Results}
+
+   \centering
+   \visible<2->{
+   \includegraphics[width=\textwidth]{figures/mans_wikipedia_fig.pdf}
+   }
+ \note{
+   \e{Some key findings:}
+   \begin{itemize}
+   \larger \larger
+ \item 1: Coverage of women (\# articles, length) in WPs is generally
+   better than other sources.
+ \item 2: Articles about women tend to be less centrally connected in
+   the network of articles than articles about men (Smurfette!)
+ \item 3: (\e{viz}) Content of articles about women uses different words
+   than those about men. Much higher incidence of language related to
+   family, gender, and relationships.
+   \end{itemize}
+}
+ \end{frame}
+
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+\subsection{Using Wikipedia in Education} % TODO Fix title
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
+
+\begin{frame}
+   \centertext{6em}{Adopting Wikipedia as a Teaching Tool}
+  
+   \note{Aaron:
+
+     Research focused on understanding how Wikipedia and related
+     resources are adopted for classroom teaching. Growing area of
+     work, still somewhat preliminary findings. Nonetheless, some of
+     the papers in this domain make for entertaining reading...
+     }
+ \end{frame}
+
+ \begin{frame}
+   \frametitle{WP and the Wisdom of Crowds}
+
+   \larger \larger Barnhisel, Greg and Marcia
+   Rapchak. 2014. \href{http://ur1.ca/n5919}{``\e{Wikipedia and the Wisdom of Crowds: A Student
+     Project}.''} Communications in Information Literacy 8(1):
+   145-159. doi:10.7548/cil.v8i1.249.
+\end{frame}
+
+
+\begin{frame}
+   \frametitle{WP and the Wisdom of Crowds: Motivation}
+   \begin{itemize}
+     \larger \larger
+   \item Students use Wikipedia uncritically. Don't understand how low
+     quality much of the information may be or how it may be
+     manipulated.
+   \item Professor (author) believes that WP is full of dubious
+     information. Wants to unmask that for his students.
+   \item Through more in-depth exposure, students may understand the
+     limitations of collaborative, open systems of knowledge production.
+   \end{itemize}
+\end{frame}
+
+
+\begin{frame}
+   \frametitle{WP and the Wisdom of Crowds: Methods}
+
+   \begin{itemize}
+     \larger \larger
+   \item Require a Senior (college) composition class to work on
+     editing WP articles (together and individually) throughout the
+     semester. 
+   \item Incorporate assignments to help students learn about the
+     history of WP as well as how to use it.
+   \item Require students to reflect on their experiences in writing.
+   \item Require students to analyze the pros/cons of open
+     collaborative writing in their final projects.
+   \end{itemize}
+
+\note{ 
+  This is all sort of fabulously in-line with exactly what the WikiEd
+  Foundation recommends instructors do (!).
+}
+\end{frame}
+
+
+\begin{frame}
+   \frametitle{WP and the Wisdom of Crowds: Results}
+
+\centering
+\begin{quote}
+  \e{Both sources [crowds and experts] have different merits... My
+    life experience since class pulls me in favor of the wisdom of the
+    crowd. In my recent studies, I have found that I can learn much
+    more from a group of my peers than from a single expert.\\ \hfill
+    --- Student 1}
+\end{quote}
+
+\note{ Not exactly what the instructor expected. Essentially, both he
+  and the students came away with much more nuanced, and positive,
+  views of the relative merits, possibilities, and limitations of open
+  collaborative knowledge production. A happy ending :) }
+\end{frame}
+%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
-% \end{frame}
 
 
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \section{Conclusion}
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
+\subsection{Meta-Analyses}
+
+\begin{frame}
+
+  \frametitle{Meta-Analyses}
+
+  \begin{itemize}
+
+    \larger \larger
+  \item Mesgari, Mostafa and Okoli, Chitu and Mehdi, Mohamad and Nielsen, Finn Ãrup and LanamÃ¤ki, Arto. 2014. \href{http://spectrum.library.concordia.ca/978652/}{``The sum of all human knowledge": A systematic review of scholarly research on the content of Wikipedia''}. Journal of the Association for Information Science and Technology. 
+
+  \item Miquel-RibÃ©,
+    Marc. 2015. \href{https://www.aaai.org/ocs/index.php/ICWSM/ICWSM15/paper/view/10645}{``User
+      Engagement on Wikipedia, A Review of Studies of Readers and
+      Editors.''} Ninth International AAAI Conference on Web and
+    Social Media (ICWSM).
+
+  \end{itemize}
+
+\end{frame}
+
 %% SLIDE: Other Resources
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 \begin{frame}{More Resources}
 
   \begin{itemize}
     \larger \larger
-  \item \e{Wikimedia Research Newsletter} [[:meta:Research:Newsletter]]
-  \item \e{WikiSym} (Later this month in Berlin!)
+  \item \e{Wikimedia Research Newsletter} [[:meta:Research:Newsletter]] / @WikiResearch
+  \item \e{WikiSym/OpenSym} (This August in San Francisco!)
   \item \e{WikiPapers Repository} [http://wikipapers.referata.com]
   \item \e{Much More}
   \end{itemize}
@@ -424,35 +861,15 @@
 
 \end{frame}
 
-\subsection{Meta-Analyses}
-
-\begin{frame}
-
-  \frametitle{Meta-Analyses}
-
-  \begin{itemize}
-
-    \larger \larger
-
-  \item Okoli et al.,
-    \href{https://spectrum.library.concordia.ca/978618/}{``The sum of
-      all human knowledge'': a systematic review of scholarly research
-      on the content of Wikipedia}.
-
-  \item Bar-Ilan and Aharony,
-    \href{http://dl.acm.org/citation.cfm?doid=2615569.2615643}{Twelve
-      years of Wikipedia research}.
-    
-  \item Taraborelli. \href{https://meta.wikimedia.org/wiki/Research:Newsletter/2013/August\#Keynote\_on\_applicable\_Wikipedia\_research}{Keynote
-      on Wikipedia Research}. OpenSym 2013. Hong Kong.
-
-  \item Benkler, Shaw, and Hill,
-    \href{http://mako.cc/academic/benkler\_shaw\_hill-peer\_production\_ci.pdf}{Peer
-      Production: A Modality of Collective Intelligence}.
-
-  \end{itemize}
-
-\end{frame}
 
 \end{document}
 
+
+%  LocalWords:  xshift yshift makopurple Tilman wikipedia Scopus Hu
+%  LocalWords:  Ronen GonÃ§alves Vespignani Hidalgo al Galician Ranjan
+%  LocalWords:  eigenvector Warncke Terveen Hecht underproduced NEJM
+%  LocalWords:  Hwang Engl doi KrÃ¤enbring WebMD WikiProject Mohsen
+%  LocalWords:  Jadidi Markus Strohmaier Wikipedias WPs Smurfette
+%  LocalWords:  Barnhisel Rapchak WikiEd Mesgari Mostafa Okoli Chitu
+%  LocalWords:  Mehdi Mohamad Ãrup LanamÃ¤ki Arto Miquel RibÃ© OpenSym
+%  LocalWords:  WikiPapers
