| Literature DB >> 33158059 |
Daniel Catalan-Matamoros1,2,3, Carlos Elías1.
Abstract
The study of the quality press and the use of sources is relevant to understand the role of journalists in scientific controversies. The objective was to examine media sourcing patterns, using the case of vaccines as a backdrop. Articles were retrieved from the national quality press in Spain. Content analysis was undertaken on the sources and on other variables such as tone, frames and journalistic genre. The software myNews and NVivo were used for data collection and coding, while SPSS and Excel were used for statistical analysis. Findings indicate that sources related to the government, professional associations and scientific companies are the most frequently used, confirming the central role of government institutions as journalistic sources. These were followed by university scientists, scientific journals and clinicians. On the other hand, NGOs and patients groups were included in fewer than 5% of the articles. More than 30% included none or just one source expressing unbalanced perspectives. Frequent use of certain source types, particularly governmental, may indicate state structures of power. The study provides a better understanding of journalistic routines in the coverage of vaccines, including fresh perspectives in the current COVID-19 pandemic.Entities:
Keywords: content analysis; journalism; media; newspaper; public health; sources; vaccine
Mesh:
Year: 2020 PMID: 33158059 PMCID: PMC7662702 DOI: 10.3390/ijerph17218136
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Main features of the sample.
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| News | 57 | 43.5 |
| Feature | 29 | 22.1 |
| Short news | 23 | 17.6 |
| Opinion | 15 | 11.5 |
| Interview | 4 | 3.1 |
| Obituary | 1 | 0.8 |
| Biography | 2 | 1.5 |
| Total | 131 | 100.0 |
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| Positive | 58 | 44.3 |
| Neutral | 55 | 42.0 |
| Negative | 18 | 13.7 |
| Total | 131 | 100.0 |
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| Ebola | 13 | 9.9 |
| Chickenpox | 12 | 9.2 |
| Diphtheria; Meningitis | 8 | 6.1 |
| Influenza; Malaria | 7 | 5.3 |
| Cancer; Zika; Measles | 6 | 4.6 |
| Tuberculosis; HIV | 5 | 3.8 |
| Smallpox | 4 | 3.1 |
| Hepatitis; Whooping cough; Human Papillomavirus; Polio | 3 | 2.3 |
| Pneumococcus | 2 | 1.5 |
| Alzheimer disease; Autism; Dengue; Yellow fever; Gonorrhea; Mumps | 1 | 0.8 |
| General/No identified | 24 | 18.3 |
| Total | 131 | 100 |
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| Human interest | 69 | 52.7 |
| Conflict | 43 | 32.8 |
| Responsibility | 9 | 6.9 |
| Economic | 6 | 4.6 |
| Morality | 4 | 3.1 |
| Total | 131 | 100.0 |
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| 1–100 | 15 | 11.4 |
| 101–200 | 10 | 0.8 |
| 201–300 | 12 | 9.2 |
| 301–400 | 19 | 15.5 |
| 401–500 | 17 | 13.0 |
| 501–600 | 12 | 9.2 |
| 601–700 | 12 | 9.2 |
| 701–800 | 13 | 9.9 |
| 801–900 | 11 | 8.4 |
| 901 | 10 | 0.8 |
| Min | 32 | |
| Max | 2158 | |
| Mean | 377.7 | |
| Median | 480 | |
| Standard deviation | 332.0 |
Frequency counts for sources.
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| Government scientific organisations | 95 | 25.4 |
| Professional associations | 62 | 16.5 |
| Government organisations | 57 | 15.2 |
| Scientific companies | 39 | 10.4 |
| University scientists | 39 | 10.4 |
| Scientific journals | 30 | 8.0 |
| Clinicians | 25 | 6.6 |
| NGOs | 15 | 4.0 |
| Media | 6 | 1.6 |
| Consumer groups | 3 | 0.8 |
| Others | 3 | 0.8 |
| Total | 374 | 100 |
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| Scientific sources | 290 | 77.5 |
| Non-scientific sources | 84 | 22.5 |
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| 0 | 12 | 9.2 |
| 1 | 30 | 22.9 |
| 2 | 25 | 19.1 |
| 3 | 22 | 16.8 |
| 4 | 15 | 11.5 |
| 5 | 10 | 7.6 |
| 6 | 9 | 6.9 |
| 7 | 4 | 3.1 |
| 8 | 2 | 1.5 |
| 10 | 2 | 1.5 |
| Total | 131 | 100.0 |
Correlations among source types and the article characteristics (tone, journalistic genre, vaccine type and frame).
| Articles Characteristics | Government Scientific Agencies 1 | Government Organisations 2 | Scientific Companies 1 | University Scientists 1 | Clinicians 1 | Scientific Journal 1 | Media 2 | Professional Associations 1 | NGO’s 2 | Scientific Sources | Non-Scientific Sources |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Tone | 0.49 | −0.17 | 0.08 | −0.16 | −0.10 | −0.31 | −0.61 | 0.36 * | 0.05 | 0.17 | −0.07 |
| Journalistic genre | 0.04 | −0.24 | −0.14 | 0.00 | −0.20 | 0.40 * | -- | −0.23 | −0.07 | −0.37 *** | −0.20 * |
| Vaccine type | −0.09 | −0.01 | 0.27 | −0.07 | −0.13 | 0.03 | 0.00 | −0.45 * | −0.11 | −0.18 * | −0.15 |
| Frame | −0.16 | 0.09 | 0.70 *** | 0.18 | −0.05 | 0.58 ** | −0.56 | −0.19 | −0.42 | −0.21 * | 0.16 |
| Length of article | 0.23 | −0.13 | 0.02 | 0.26 | 0.00 | 0.17 | −0.71 | 0.17 | 0.37 | 0.52 *** | 0.28 ** |
Notes: table shows Spearman rho correlations (two-tailed). ***, ** and * indicate statistically significant at the 0.001, 0.01 and 0.05 levels. The sources “patients’ associations” and “others” were not included in the above analysis due to their low frequency (n = 3 each). 1 Scientific sources category. 2 Non-scientific sources category.