  The inclusion of social media posts---tweets, in particular---in digital news
stories, both as commentary and increasingly as news sources, has become
commonplace in recent years. In order to study this phenomenon with sufficient
depth, robust large-scale data collection from both news publishers and social
media platforms is necessary. This work describes the construction of such a
data pipeline. In the data collected from Google News, 13% of all stories were
found to include embedded tweets, with sports and entertainment news containing
the largest volumes of them. Public figures and celebrities are found to
dominate these stories; however, relatively unknown users have also been found
to achieve newsworthiness. The collected data set, NewsTweet, and the
associated pipeline for acquisition stand to engender a wave of new inquiries
into social content embedding from multiple research communities.
