collaborative encyclopedia projects that were launched previously
\cite{hill_almost_2012}. Using an inductive, grounded-theory based
analysis of founder interviews and archival data, I propose four
-hypothesis to explain why Wikipedia attracted many more
+hypotheses to explain why Wikipedia attracted many more
contributors. Although the paper's methods diverge from the
quantitative, ``big data'' approach typical of most of my work, the
research question and strategy is representative.
I have also followed this strategy in a series of quantitative studies
-of the Scratch online community: a public website where a large
-community of users create, share, and remix interactive media. The
+of the Scratch online community: a public website where millions
+of users create, share, and remix interactive media. The
community is built around the Scratch programming environment: a
freely downloadable desktop application that allows amateur creators
to combine media with programming code (see Figure
hobbyist microcontrollers to argue that relatively simple design
changes in the \emph{LilyPad Arduino} -- a electronics toolkit
minimally re-designed for women and girls (see Figure
-\ref{fig:lilypad}) -- lead to large increases in the proportion of
+\ref{fig:lilypad}) -- led to large increases in the proportion of
women contributors and drastic shifts in the type of projects created
\cite{buechley_lilypad_2010}. I have also explored how technical
errors may be able to provide similar opportunities for analysis by