A tale of four cities: A semantic analysis comparing the newspaper coverage of air pollution in Hong Kong, London, Pittsburgh, and Tianjin from 2014 to 2017

Tongxin Sun; Bu Zhong

doi:10.1177/0739532919873438

A tale of four cities: A semantic analysis comparing the newspaper coverage of air pollution in Hong Kong, London, Pittsburgh, and Tianjin from 2014 to 2017

Tongxin Sun^*, Bu Zhong

^*Corresponding author for this work

Department of Interactive Media

Research output: Contribution to journal › Journal article › peer-review

5 Citations (Scopus)

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	https://doi.org/10.1177/0739532919873438
Publication status	Published - 1 Mar 2020

Scopus Subject Areas

Communication

User-Defined Keywords

LIWC
agenda setting
air pollution
computer-aided content analysis
newspaper coverage
semantic analysis

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1177/0739532919873438

Cite this

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title = "A tale of four cities: A semantic analysis comparing the newspaper coverage of air pollution in Hong Kong, London, Pittsburgh, and Tianjin from 2014 to 2017",

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{\textquoteright}s reports also contained more future-framed words but fewer present-framed words than other cities.",

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Y1 - 2020/3/1

N2 - 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.

AB - 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.

KW - LIWC

KW - agenda setting

KW - air pollution

KW - computer-aided content analysis

KW - newspaper coverage

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A tale of four cities: A semantic analysis comparing the newspaper coverage of air pollution in Hong Kong, London, Pittsburgh, and Tianjin from 2014 to 2017

Abstract

Scopus Subject Areas

User-Defined Keywords

UN SDGs

Access to Document

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