Abstract
A computer-aided semantic analysis (using Linguistic Inquiry and Word Count [LIWC]) examined how newspaper coverage of air pollution from 2014 to 2017 may affect the public agenda in four cities—Hong Kong, London, Pittsburgh, and Tianjin. Results show that after controlling for the real-time air quality, the agenda-setting effect was found in Hong Kong, London, and Pittsburgh, but not Tianjin. Tianjin’s reports also contained more future-framed words but fewer present-framed words than other cities.
| Original language | English |
|---|---|
| Pages (from-to) | 37-52 |
| Number of pages | 16 |
| Journal | Newspaper Research Journal |
| Volume | 41 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Mar 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
User-Defined Keywords
- LIWC
- agenda setting
- air pollution
- computer-aided content analysis
- newspaper coverage
- semantic analysis
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