| Literature DB >> 34948929 |
Abstract
This study examines how attention to science and political news may influence the way people feel about an environmental risk, and how this in turn impacts policy preferences. Using an online survey conducted on the issue of fine dust pollution in South Korea, this study found that science news attention was associated with greater anxiety and anger about the issue, whereas political news attention was associated with fear and sadness/depression (as well as anxiety and anger). Furthermore, mediation analysis showed that science news attention indirectly influenced support for preventive policy through anxiety, whereas political news attention indirectly influenced punitive policy support through anger and fear. Theoretical and practical implications of this study are discussed.Entities:
Keywords: emotion; news attention; policy preferences; public health crisis
Mesh:
Substances:
Year: 2021 PMID: 34948929 PMCID: PMC8701914 DOI: 10.3390/ijerph182413325
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Conceptual model of the study.
Figure 2Hypothesized mediation model.
Correlation between variables.
| Variables | SNA | PNA | Anger | Fear | Anxiety | Sadness | Preventive Policy | Punitive Policy |
|---|---|---|---|---|---|---|---|---|
| SNA | __ | |||||||
| PNA | 0.61 *** | __ | ||||||
| Anger | 0.23 *** | 0.24 *** | __ | |||||
| Fear | 0.20 *** | 0.24 *** | 0.65 *** | __ | ||||
| Anxiety | 0.28 *** | 0.26 *** | 0.65 *** | 0.61 *** | __ | |||
| Sadness | 0.19 *** | 0.22 *** | 0.66 *** | 0.76 *** | 0.51 *** | __ | ||
| Preventive policy | 0.34 *** | 0.36 *** | 0.36 *** | 0.34 *** | 0.44 *** | 0.31 *** | __ | |
| Punitive policy | 0.25 *** | 0.26 *** | 0.43 *** | 0.42 *** | 0.41 *** | 0.38 *** | 0.78 *** | __ |
Note. SNA = Science news attention; PNA = Political news attention. The effects of age, gender, education, political orientation, perceived threat, and interest in the fine dust problem on these variables were controlled in the analyses. *** p < 0.001.
Figure 3Results of hypothesized model. Note. Standardized coefficients are shown. The effects of control variables on emotions and policy support were estimated but not depicted here. † p < 0.10, * p < 0.05, ** p < 0.01, *** p < 0.001.
Indirect effects of news attention on policy preferences through emotional responses.
| Paths | Estimate |
| CI |
|---|---|---|---|
| Science news attention → Anxiety → Preventive Policy | 0.08 * | 0.02 | 0.050 to 0.120 |
| Political news attention → Anger → Punitive Policy | 0.08 * | 0.02 | 0.031 to 0.110 |
| Political news attention → Fear → Punitive Policy | 0.08 * | 0.02 | 0.030 to 0.092 |
| Political news attention → Anxiety → Preventive Policy | 0.07 * | 0.02 | 0.024 to 0.087 |
Note. Estimates are standardized coefficients. * p < 0.05.