X-Git-Url: https://projects.mako.cc/source/bmh-research_statement/blobdiff_plain/08d0e91b7203854e515dce5812a492cb82752140..f877903e96a8568c49589bec4ca6e94a60a8b47b:/research_statement.tex

diff --git a/research_statement.tex b/research_statement.tex
index 23438ae..2c9ab58 100644
--- a/research_statement.tex
+++ b/research_statement.tex
@@ -108,14 +108,14 @@ In one study, I compare Wikipedia to seven attempts to create online
 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
