From: T. Bayer Date: Fri, 17 Jul 2015 03:59:22 +0000 (-0700) Subject: Start content quality section X-Git-Url: https://projects.mako.cc/source/state_of_wikimedia_research_2015/commitdiff_plain/3fe9f78d6049f92d6a27d039a18cd4d6595ec205?ds=inline Start content quality section --- diff --git a/20150717-wikimania_research.tex b/20150717-wikimania_research.tex index 6da9b9b..809dba9 100644 --- a/20150717-wikimania_research.tex +++ b/20150717-wikimania_research.tex @@ -319,46 +319,75 @@ \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} diff --git a/figures/Dabitragan_Contraindications_WP_FDA_warning.png b/figures/Dabitragan_Contraindications_WP_FDA_warning.png new file mode 100644 index 0000000..50dd2e4 Binary files /dev/null and b/figures/Dabitragan_Contraindications_WP_FDA_warning.png differ diff --git a/figures/Pradaxa_tweet_FDAMedWach.png b/figures/Pradaxa_tweet_FDAMedWach.png new file mode 100644 index 0000000..6a56191 Binary files /dev/null and b/figures/Pradaxa_tweet_FDAMedWach.png differ