\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}