Abstract
This study explores the extent to which U.S. newspaper organizations incorporate images captured by private citizens into their news articles as an audience engagement strategy, and examines the relationship between the extent to which citizen-eyewitness images are incorporated in the news and audience news engagement. By conducting a machine-coding analysis of news images and analyzing user behavioral data on Twitter, this study found that U.S. newspapers tended to incorporate a rather small number of citizen-eyewitness images in their news reports. The findings also revealed that the extent to which a news organization incorporated citizen-eyewitness images in its news articles was positively related to audience engagement with its news.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1774-1794 |
| Number of pages | 21 |
| Journal | Journalism Practice |
| Volume | 16 |
| Issue number | 8 |
| DOIs | |
| State | Published - Feb 9 2021 |
Bibliographical note
Publisher Copyright:© 2021 Informa UK Limited, trading as Taylor & Francis Group.
Keywords
- Audience engagement
- citizen-eyewitness images
- computational analysis
- digital journalism
- reciprocal journalism
- social media