Table 4.
Approach 2: Organizations' use of social media in communicating EIDs
| Article | Type of EID | Type of social media | Organizations studied | Theoretical approach | Method and intercoder reliability | Major findings |
|---|---|---|---|---|---|---|
| Biswas3 | H1N1 | Twitter, Facebook | CDC, WHO | Outbreak communication | Manual content analysis | Types of messages: investigation or diagnosis, prevention, treatment, and update. |
| No | ||||||
| Facebook facilitated more interactivity because of its built-in features. However, both the CDC and WHO focused on 1-way communication instead of interacting with the public. | ||||||
| Ding and Zhang16 | H1N1 | All major social media | U.S. government (CDC and HHS) | Risk communication | Manual content analysis | CDC and HHS most frequently used Facebook in communicating with the public about H1N1, followed by Twitter, e-cards, buttons and badges, podcasts, Flickr, YouTube, and widgets. The functions served by these social media were updates, policies and guidelines, prevention topics, official actions and efforts, general information, and scientific research, in descending frequencies. |
| No | ||||||
| Kim and Liu18 | H1N1 | Twitter, Facebook | 13 government and corporate organizations | Situational crisis communication theory | Manual content analysis | Governmental organizations emphasized providing instructional information to their primary audience, such as guidelines about how to respond to a crisis, whereas corporations emphasized reputation management, frequently adopting denial, diminish, and reinforce response strategies. |
| α = 0.77-1.0 | ||||||
| Liu and Kim19 | H1N1 | Twitter, Facebook | 13 government and corporate organizations | Framing, crisis communication | Manual content analysis | Organizations were more likely to frame the crisis as a disaster, a health crisis, or a general health issue on traditional media and were more likely to frame it as a general crisis on social media. Organizations relied on traditional media more than social media to address emotions. |
| α = 0.77-1.0 | ||||||
| Wong et al35 | Ebola | 286 local health departments | None | Manual content analysis | 78.6% tweets were information giving, 22.5% were on preparedness, 20.8% were news updates, and 10.3% were event promotion. Each wave of tweets corresponded with a major news event. | |
| r = 0.54-1.0 | ||||||
| Studies of the public's responses to organizations' use of social media | ||||||
| Lazard et al28 | Ebola | CDC | None | Computer-assisted content analysis based on unsupervised text mining (SAS Text Miner) | This study identified 8 major concerns of the public, such as expert opinions, prevention, and questions. | |
| Strekalova33 | Ebola | CDC | None | Manual content analysis | Men wrote more comments per person than women on CDC posts about Ebola. | |
| No | ||||||
CDC, Centers for Disease Control and Prevention; EID, emerging infection disease; HHS, U.S. Department of Health & Human Services; WHO, World Health Organization.