Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45787, first published .
Trends in Media Coverage During the Monkeypox Outbreak: Content Analysis

Trends in Media Coverage During the Monkeypox Outbreak: Content Analysis

Trends in Media Coverage During the Monkeypox Outbreak: Content Analysis

Authors of this article:

Mio Kato1 Author Orcid Image ;   Fumi Yoshimatsu1 Author Orcid Image ;   Tomoya Saito1 Author Orcid Image

Research Letter

Center for Emergency Preparedness and Response, National Institute of Infectious Diseases, Tokyo, Japan

*all authors contributed equally

Corresponding Author:

Mio Kato, PhD

Center for Emergency Preparedness and Response

National Institute of Infectious Diseases

1-23-1 Toyama

Shinjuku-ku

Tokyo, 162-8640

Japan

Phone: 81 3 5285 1111

Email: mio-kato@niid.go.jp




Monkeypox has been spreading in nonendemic countries since May 2022 [1]. The media significantly influences how people react to the spread of emerging and reemerging infectious diseases [2]. Protective motivation theory (PMT) posits that people protect themselves using perceptions from 4 cognitive appraisals: perceived severity, perceived vulnerability, outcome efficaciousness, and self-efficacy [3]. We investigated whether news reports contributed to these 4 PMT components to understand the gaps in people’s health information needs.


Overview

We investigated media coverage by selecting Japanese-language articles with “monkeypox” in the headline published between May 7, 2022 (Japan Standard Time), when the outbreak was reported in the United Kingdom, and July 25, 2022, the day after Japan’s first reported case [4]. We searched 14 media websites using the search term “monkeypox”: overseas television networks (BBC Japan and CNN Japan), Japanese television networks (ANN, NHK, and NTV); overseas newswires (Reuters and Agence France-Presse), Japanese newswires (Kyodo and Jiji), and Japanese newspapers (Asahi, Mainichi, Nikkei, Sankei, and Yomiuri). Materials were excluded if they were videos, contained photos only, or were stock information. The content analysis counted the occurrence of terms appealing to fear (eg, number of infected persons, an increasing number of infected persons and deaths), terms appealing to coping (eg, low risk of infection for the public), and neutral terms (eg, transmission, symptoms, prevention, and treatment).

Next, we used a Boolean search of the Meltwater database using the keywords “monkeypox” and “?” to retrieve tweets posted between May 19 and June 6, 2022. We used Meltwater’s Twitter data because Twitter’s open access policy via its application programming interface (API) has become increasingly restricted [5].

Ethical Considerations

No ethical approval or informed consent was required since the Twitter data contained no personal information.


To categorize the volume trends in media coverage, we divided the timeframe into three periods: (1) May 19-28, 2022, which corresponds to the initial phase of outbreak reporting in Europe and the United States; (2) June 15-16, 2022, marked as the judgment period; and (3) June 22-29, 2022, which represents the reporting period for the outbreak in Asia.

Table 1 shows the number and percentage of fear and coping appraisals and neutral information occurrences in the articles during each period. During the second period, reports noted that an emergency committee acting as an advisory body for the World Health Organization (WHO) Director-General would convene to discuss whether monkeypox should be declared a Public Health Emergency of International Concern (PHEIC) [6]. During the third period, reports noted outbreaks in countries geographically close to Japan, specifically, South Korea, Singapore, and Taiwan, and that the WHO had decided not to declare a PHEIC. A high percentage of fear appraisals was reported across all periods, while the number of coping appraisals was substantially lower.

Figure 1 shows the number of articles and tweets by media category chronologically. The graph presents a waveform that corresponds roughly to the first period of media coverage but not to the amount of coverage in the second or third period. For example, the topics that appeared initially from May 19 to June 6, 2022 (N=69,621 tweets) were as follows: “about monkeypox as an infectious disease” (n=38,988, 56%), “vaccine” (n=23,671, 34%), “misinformation” (n=3481, 5%), “measures” (n=2785, 4%), and “concern about economic shutdown” (n=696, 1%).

Table 1. Fear appraisals, coping appraisals, and neutral information in Japanese-language articles on monkeypox.
PeriodDate and descriptionCount, nFear appraisala, n (%)Coping appraisalb, n (%)Neutral informationc, n (%)
1May 19-28, 2022: initial phase of outbreak reporting in Europe and the United States108103 (95.4)21 (19.4)77 (71.3)
2June 15-16, 2022: judgment period2826 (92.9)0 (0)17 (60.7)
3June 22-29, 2022: reporting period for the outbreak in Asia9084 (93.3)3 (3.3)50 (55.6)

aFear appraisal: number of infected persons and increases in the number of infected persons and deaths.

bCoping appraisal: low risk of infection for the general public; not contagious like COVID‑19.

cNeutral information: human-to-human transmission, symptoms, prevention (vaccination), and treatment.

Figure 1. News media coverage and tweets (N=904,252) from May 7 to July 25, 2022. May 7: first case reported by the UK Health Security Agency; July 24: first case reported in Japan. Media consulted include overseas television networks (BBC Japan and CNN Japan), Japanese television networks (ANN, NHK, and NTV), overseas newswires (Reuters and Agence France-Presse), Japanese newswires (Kyodo and Jiji), and Japanese newspapers (Asahi, Mainichi, Nikkei, Sankei, and Yomiuri).

We found significantly fewer coping appraisals than fear appraisals in the articles included in this content analysis. However, according to our content analysis of tweets, 56% of citizens (38903/69621) wanted neutral information regarding basic facts about infectious diseases, treatment, vaccines, and other prevention methods.

One limitation of this study is that only major news media were included in the analysis; we acknowledge that scientific and medical media may have published different content. However, the impact is significant because the public consumes information via the major media targeted in this study and disseminates it on social networking platforms. Therefore, confirming the content of such media is essential.

We recommend that crisis management teams should provide easy-to-understand information enabling the media to disseminate basic information on infectious diseases and messages that lead to coping appraisals.

Acknowledgments

This publication was funded by the Health, Labour and Welfare Policy Research Grants (Research on Health Security Control; grant 22LA1013).

Conflicts of Interest

None declared.

  1. Mpox (monkeypox) outbreak 2022. World Health Organization. 2022. URL: https://www.who.int/emergencies/situations/monkeypox-oubreak-2022 [accessed 2023-06-08]
  2. Communicating risk in public health emergencies: a WHO guideline for emergency risk communication (ERC) policy and practice. World Health Organization. 2017. URL: https://apps.who.int/iris/bitstream/handle/10665/259807/9789241550208-eng.pdf [accessed 2022-12-09]
  3. Maddux JE, Rogers RW. Protection motivation and self-efficacy: a revised theory of fear appeals and attitude change. J Exp Soc Psychol. Sep 1983;19(5):469-479. [CrossRef]
  4. One person confirmed to have 'monkeypox' in UK; risk to public is 'very low'. CNN Japan. May 09, 2022. URL: https://www.cnn.co.jp/world/35187203.html [accessed 2023-06-08]
  5. Kim H, Jang SM, Kim S, Wan A. Evaluating sampling methods for content analysis of Twitter data. SM+S. May 02, 2018;4(2) [FREE Full text] [CrossRef]
  6. Burki T. What does it mean to declare monkeypox a PHEIC? Lancet Infect Dis. Sep 2022;22(9):1286-1287. [FREE Full text] [CrossRef] [Medline]


PHEIC: Public Health Emergency of International Concern
PMT: protective motivation theory
WHO: World Health Organization


Edited by A Mavragani; submitted 17.01.23; peer-reviewed by A Allam, A Aljabali; comments to author 26.05.23; revised version received 31.05.23; accepted 31.05.23; published 19.06.23.

Copyright

©Mio Kato, Fumi Yoshimatsu, Tomoya Saito. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 19.06.2023.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.