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arXiv · 2008.02870

NewsTweet: A Dataset of Social Media Embedding in Online Journalism

Munif Ishad Mujib·Hunter Scott Heidenreich·Colin J. Murphy·Giovanni C. Santia·Asta Zelenkauskaite·Jake Ryland Williams
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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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Munif Ishad Mujib, Hunter Scott Heidenreich, Colin J. Murphy, Giovanni C. Santia, Asta Zelenkauskaite, Jake Ryland Williams. 2020-08-06. NewsTweet: A Dataset of Social Media Embedding in Online Journalism. https://arxiv.org/abs/2008.02870

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