From 3fe9f78d6049f92d6a27d039a18cd4d6595ec205 Mon Sep 17 00:00:00 2001 From: "T. Bayer" Date: Thu, 16 Jul 2015 20:59:22 -0700 Subject: [PATCH] Start content quality section --- 20150717-wikimania_research.tex | 93 ++++++++++++------ ...ragan_Contraindications_WP_FDA_warning.png | Bin 0 -> 59558 bytes figures/Pradaxa_tweet_FDAMedWach.png | Bin 0 -> 78184 bytes 3 files changed, 61 insertions(+), 32 deletions(-) create mode 100644 figures/Dabitragan_Contraindications_WP_FDA_warning.png create mode 100644 figures/Pradaxa_tweet_FDAMedWach.png 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 0000000000000000000000000000000000000000..50dd2e4f39d9c8fdaad451a1e1bc887bfa99eec6 GIT binary patch literal 59558 zcmce;1yCKq_wP9ucXtmO+zAc|?gV$&i@OsbxCZwS+}$C#y9IX(!GgPFZ}NNpw_E#m zw_erOdsX+=OwHWebEc=K`<(CRbVn#FN}(bVAprn@DkCkf0sv4Z004T600lYXN{&Pe z*&sSfYr6mdGWOpu2*}7HfEMwSgKrG!gLAd;*E!+!<&w0BmIb@##W-YXJX*RX4*|ScpHW-z{Z{m|JkdC zT!0ljXkEDiQG(&Sv?$eX0M=)2J0?2PF+2DOYP=%pJ_&H`KJ~A+iNBt9e>uC>?-3)K z{ULkpJ~*krTd}F`SXge(xAyNM$3TFA3KZ?%jWB@q3+rYa1Pfu~ND-{@_Rnaq&v&q%6lyw%Dc z(>zZPhirPx+2TTExyiLikEhPU-Qq0jl*N->z6Z1Iu@1M8< zY4mT^Mv;C_?3x$N^$2irSsfp?x|UvLzperRVde(8AjjEuy1@5&;j^bdW^ll8)vx+S 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