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Preprint
NewsTweet: A Dataset of Social Media Embedding in Online Journalism
arXiv.org
06 Aug 2020
Abstract
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.
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Details
- Title
- NewsTweet: A Dataset of Social Media Embedding in Online Journalism
- Creators
- Munif Ishad MujibHunter Scott HeidenreichColin J MurphyGiovanni C SantiaAsta ZelenkauskaiteJake Ryland Williams
- Publication Details
- arXiv.org
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Information Science; Communication
- Other Identifier
- 991021806678204721