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Journalism and Translation in the Era of Convergence
Edited by Lucile Davier and Kyle Conway
[Benjamins Translation Library 146] 2019
► pp. 85–105

Chapter 4
News through a social media filter

Different perspectives on immigration in news on website and social media formats

Social media have become important news sources, prompting news organizations to create social media accounts to publish news. This requires a medium-based translation, in which social media editors must remediate news – selecting and possibly re-interpreting content – to accommodate a different audience and format. In this study we investigate this remediation for the issue of immigration, comparing the news coverage of immigration on the website and Facebook page of various newspapers using a novel method, which combines qualitative interpretation with computational text analysis. As a result, we can study the news coverage of immigration of five newspapers over two years, and substantiate our observations with quantitative, empirical results. Our findings show that while the overall portrayal of immigration is largely similar, there are some differences that could prove to be important and require further elaboration.

Keywords: journalism, social media, remediation, translation, media logic, gatekeeping, content analysis, computational text analysis
Article outline
  • 1.Introduction
  • 2.Literature
  • 3.Method
    • 3.1Data collection and pre-processing
    • 3.2Codebook
  • 4.Results
  • 5.Conclusion
  • Notes
  • References
Published online: 24 April 2019
DOI logo
https://doi.org/10.1075/btl.146.04wel
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