Alshaabi et al. [6] |
Twitter users |
3 |
|
Language barriers (to include health literacy challenges)
Accessibility to accurate data cited as a challenge (ex. government websites not utilized/cited)
Accessibility to vaccine itself in developing areas of the world
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Bonnevie et al. [7] |
1000 publicly available Twitter posts related to vaccine opposition and posts were categorized into themes |
3 |
Because of the debate, the topic is gaining more attention as the virus spreads
Vaccine supporters might be more prone to getting vaccinated sooner
|
Vaccine opposition increased by 80% based on thread comments
12 different conversation themes identified
Mistrust in health authorities observed in many threads
WHO classifies vaccine opposition as one of the largest threats to public health
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Bonnevie et al. [8] |
117 influencers generated 69,495 engagements |
3 |
Vaccination campaigns using a ground-up rather than top-down approach can feasibly reach at-risk groups with lower vaccination rates
Shows the potentials of using an influencer-based model to communicate information about flu vaccination on a large scale
|
|
Brandt et al. [9] |
Two undergraduate classes (n = 58) at a public university in the southeastern part of US |
2 |
College students are very active on social media
Participants (97%) interacted on Facebook by “liking” a post or comment or posting a comment
Participants demonstrated robust engagement and high treatment satisfaction
Results suggests that social media is an effective platform to reach college students with health promotion interventions and increase HPV vaccination awareness in this important catch-up population.
|
Facebook is not as widely used among younger crowd as other apps such as Instagram, Twitter, and Snapchat
Harder to reach a large young crowd on Facebook
|
Broniatowski et al. [10] |
288,175 posts from 204 Facebook pages |
3 |
Activity in pages promoting vaccine choice as a civil liberty increased in January 2015, April 2016, and January 2019
The 2019 increase was strongest in pages mentioning U.S. states
|
Discussion about vaccine safety decreased while discussion about civil liberties increased
The Disneyland measles outbreak drew vaccine opposition into the political mainstream, followed by promotional campaigns conducted in pages framing vaccine refusal as a civil right
|
Budenz et al. [11] |
Twitter messaging addressing gay, bisexual (GB) and other men who have sex with men (MSM) |
3 |
Prevention/protection messaging was prevalent only in MSM tweets (49%)
HPV vaccine sentiment was positive in GB + MSM messaging, there were deficits in volume of messaging
Opportunity to shape vaccine uptake through PH agenda setting using social media messaging that increases knowledge and minimizes HPV vaccine stigma
|
|
Chan, et al. [12] |
Twitter users; geolocated tweets from U.S. counties (N = 115,330) |
3 |
|
|
Dunn et al. [13] |
Sampled 53,188 U.S. Twitter users and examined who they follow and retweet across 21 million vaccine-related tweets |
3 |
|
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Dyer [14] |
Eligible COVID-19 vaccine recipients |
5 |
|
|
Featherstone & Zhang [15] |
Sampled 609 U.S. adult participants with 5 message conditions (2 misinformation messages, 2 corresponding two-sided refutational messages, and 1 control group) |
2 |
|
Conspiracy and uncertainty framed misinformation messages decreased pro-vaccination attitude
Effects were further mediated by emotions of anger
Parental status and conspiracy beliefs did not moderate effects of the messages on vaccination attitude
|
Hussain et al. [16] |
Over 300,000 social media posts related to COVID-19 vaccines |
3 |
Used AI to analyze the public sentiments toward the COVID-19 vaccine
Social media is where the data comes from; researchers can tell the response of the public based on these apps
By knowing public sentiments, policy makers are more informed when making decisions
|
Significant amount of this article is not about promoting the vaccine; it’s about finding out the how the public feels about the vaccine
Public confidence can be shaken by misinformation about vaccine safety
|
Hwang [17] |
48,600 people/random sample |
3 |
|
Misinformation online produces skepticism
The more trust people put in social media, the more it will skew their view of vaccines
|
Jang et al. [18] |
Canada vs. the U.S surveys on vaccination perceptions |
3 |
This information can assist public health authorities in the monitoring and surveillance of health information, concerns, and behaviors, and can help tailor the public health strategy to the population
Public health interventions on social media can break up the misinformation
|
|
Khubchandani et al. [19] |
Individuals were asked about their likelihood of getting the COVID-19 vaccine (asked before the vaccines came out). Questionnaire shared on social media and in personal groups. |
3 |
|
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Latkin et al. [20] |
Study participants were recruited through Amazon’s Mechanical Turk (Mturk) service. Asked about their likelihood of getting the COVID-19 vaccine. |
3 |
In-person communication is risky so more social media communication is encouraged
Encourage a collective social identity around COVID-19 prevention, which may influence behavior change and increase vaccine acceptance among friends and family
|
|
Lin et al. [21] |
515 valid cases from a sample of undergraduate students from a class at a large Northeastern University |
3 |
The more college students rely on social media for H1N1 information, the more likely they are to be vaccinated
When online news is not the dominant information source, dependence on social media sources is a significant variable in explaining potential vaccine uptake
|
|
Nowak et al. [22] |
716 members of the RAND American life panel with children under the age of 21 years were invited to take the survey. 615 responses. |
3 |
A lot of information is out there on social media. Participants asked about knowledge and beliefs on 35 categories, political conspiracies, health conspiracies, putative vaccine side effects, gestalt vaccine endorsements, vaccine biology/epidemiology
Twitter data was pulled related to the 35 categories
|
Prevalent misinformation on vaccines
The people who post about issues on twitter are the ones who care about specific issues, causing polarization on the subject of vaccines
|
Oehler [23] |
n/a |
4 |
To counter social media misinformation, we need to develop or enlist “social media influencers” for medicine in the same ways that corporations and other groups promote their celebrities, products, and services so successfully
Communicating on healthcare topics via a practice Facebook page, starting a twitter feed, posting, or sharing accurate health-related information to a professional Instagram account, and volunteering medical interviews to local broadcast and print media can all improve our footprint as medically trained “influencers” and can bolster respect for our practices as well
|
Spread of misinformation amongst specific groups on social media platforms.
Similarly, accurate public health information gets pushed behind unwarranted rumors
Shared online testimonials about adverse reactions to vaccines.
Sharing of misinformation undermining physician recommendations or health information
Lack of peer-review standards on social media platforms
Ability for anti-vaccination groups to spread misinformation to a broad audience
Intentional use of medical product marketing to mislead consumers to believe misinformation
Weaponization of anti-vaccination messages by “bots”
Social media platforms unwilling to take action/responsibility for misinformation.
Almost 90% of older adults (ages 50 years or older) have used social media to find and share health information
Major medical organizations have placed very low priority in developing their social media presence
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Piltch-Loeb et al. [24] |
Random mobile application users n = 2650 users out of over 900 million |
3 |
|
Public Health information shared by credible, evidence-based sources compete with unverified sources on the largest internet platforms
There was a statistically significant difference in vaccine acceptance among those who had exclusively gotten information only from traditional media (46.9%), only from social media (29.3%), or both types of channels (37.1%)
Those who are less likely to get the vaccine are using social media as their sole source of information, or as at least one of their sources of information
Vulnerability of social media channels to exploitation by bad actors
|
Raghupathi et al. [25] |
9581 vaccine-related tweets |
3 |
Talks about measles vaccine by tracking sentiment (not necessarily topical)
The positive sentiments related to the existence of a vaccine for measles, the vaccine being effective and the vaccine actually saving lives
|
Higher percentage of negative tweets about vaccines compared to positive tweets
A strong misinformation study
In an empirical study of Facebook users, it was demonstrated that positive information gets disseminated fast but does not sustain as long as negative information
|
Romer & Jamieson [26] |
U.S. residents (n = 840) |
3 |
|
|
Rosenbaum [27] |
Opinion/discussion article. Discusses U.S. adults, physicians, and researchers |
4 |
|
While people firmly opposed to all vaccines may be relatively few in number, they wield outsized influence, particularly on social media, over the undecideds
A recent study of expressions of vaccine-related sentiments by 100 million Facebook users found that antivaccine clusters of people, though less numerous than pro-vaccine clusters, have a more central presence in large networks and interact with more undecided clusters
|
Ruiz & Bell [28] |
804 adults compensated English-speaking adults living in the U.S. 53.6% female, ages 18–65+ |
3 |
|
Respondents relying on social media for information about COVID-19 anticipated a lower likelihood of COVID-19 vaccine acceptance
People are increasingly turning to social media for information expanding the potential for disseminating harmful health-related information
|
Speaker & Moffatt [29] |
Article described the scope of a National Library of Medicine Global Health Events web archive |
4 |
|
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Zhang et al. [30] |
2,598,033 tweets from 3 Twitter datasets |
3 |
|
|