Start content quality section

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@@ -319,46 +319,75 @@
 \section{Paper Summaries}
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 
 \section{Paper Summaries}
 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
 

-% \subsection{Event Prediction}
+\subsection{Content quality}

 
 

-% \begin{frame}
-%   \centertext{6em}{Event Prediction}
+\begin{frame}
+   \centertext{6em}{Content quality}

 
 

-%   \note{Mako
+   \note{Tilman

 
 

-%     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}
+     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}
+\begin{frame}

   
   

-%   \frametitle{Wikipedia Viewership and Flu Prediction}
-
-%   \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}.
-
-% \end{frame}
-
-% \begin{frame}
-
-%   \frametitle{Wikipedia Viewership and Flu Prediction: Motivation}
+\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
+   
+   Kräenbring 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}

 
 

-%   \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}
+  
+\frametitle{Quality of drug articles: NEJM}
+
+   \includegraphics[width=0.45\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
+   $\Longrightarrow$
+   \includegraphics[width=0.45\textwidth]{figures/Dabitragan_Contraindications_WP_FDA_warning}
+   
+   \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.}

 
 

-%   \end{itemize}

 
 

-%   \note{2009 H1N1 Swine Flu broke GFT.}
-% \end{frame}
+\end{frame}

 
 % \begin{frame}
 
 
 % \begin{frame}
 

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