\section{Paper Summaries}
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-\subsection{Content quality}
+\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., Gonçalves, 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),
+ E5616—E5622. \href{http://doi.org/10.1073/pnas.1410931111}{doi:10.1073/pnas.1410931111}
+
+\end{frame}
+
+\begin{frame}
+ \frametitle{Wikipedia as a source of data: Ronen et al.}
+
+ \includegraphics[width=\textwidth]{figures/ronen_fig1.png}
+\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.}
+
+ \includegraphics[width=\textwidth]{figures/warncke-english_confusion.pdf}
+\end{frame}
+
+\begin{frame}
+ \frametitle{Community and organization: Warncke-Wang et al.}
+
+ \includegraphics[width=\textwidth]{figures/warncke-english_overunder.pdf}
+\end{frame}
+
+\subsection{Content Quality}
\begin{frame}
\centertext{6em}{Content quality}
\frametitle{Quality of drug articles: NEJM}
- \includegraphics[width=0.45\textwidth]{figures/Pradaxa_tweet_FDAMedWach.png}
+ \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
- $\Longrightarrow$
- \includegraphics[width=0.45\textwidth]{figures/Dabitragan_Contraindications_WP_FDA_warning}
-
+ \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
\end{frame}
-% \begin{frame}
+\begin{frame}
-% \frametitle{Wikipedia Viewership and Flu Prediction: Methods}
+\frametitle{Quality of drug articles: PLoS One}
+
+ \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\%±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{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}
-% \end{frame}
% \begin{frame}
% \frametitle{Wikipedia Viewership and Flu Prediction: Results}