| Literature DB >> 34898757 |
M Laeeq Khan1, A Malik2, U Ruhi3, A Al-Busaidi4.
Abstract
In several countries, vaccine passports are being encouraged to hasten the return to some form of normalcy amidst the COVID-19 pandemic. Vaccine passport is a digital or paper document that may serve as proof of the COVID-19 vaccine, thereby allowing entry to public venues, sporting events, air travel, and unrestricted access to other facilities. This study explores how the COVID-19 passport is being discussed and perceived on Twitter and the prominent entities involved in the early discourse on the issue. Twitter messages were theoretically analyzed for Health Belief Model (HBM) and Theory of Planned Behavior (TPB) variables, as well as message source, engagement, and attitudes towards vaccination certificates. Using quantitative content analysis, tweets were coded on nine dimensions: account type, tweeter profile, tweet content, tweet modality, attitude, self-efficacy, perceived barriers, benefits, and action cues. Most of the tweets originated from personal accounts, followed by media organizations, media-related personalities, politicians, and the travel industry. A significant number of tweets were from male Twitter users. Our analysis revealed that most tweeters had a favorable attitude towards the COVID-19 passports. Unfavorable attitudes toward the COVID-19 passport were based on reasons such as a lack of common standard or consensus, and personal freedoms & human rights. Tweets highlighting the benefits of COVID-19 passports cited travel as the primary reason. Based on a combination of technical, legal, and ethical practices, our study offers a set of vital recommendations for governments, health organizations, and businesses that may help stimulate the acceptance of vaccine passports.Entities:
Keywords: COVID-19; Certificate; Health; Passport; Social media; Travel; Twitter
Year: 2021 PMID: 34898757 PMCID: PMC8653408 DOI: 10.1016/j.techsoc.2021.101830
Source DB: PubMed Journal: Technol Soc ISSN: 0160-791X
Tweeter occupation.
| Variable/sub-variable | Definition | Count (%) |
|---|---|---|
| Media Organization | Media Organization (TV Station, Newspaper, Media House, Production Company, Magazines, Film Studios. | 111 (23.87) |
| Art & Media personality | Journalist, TV anchor, Radio presenter, Film maker, blogger, Director, Cinematographer, Video Editor, Documentary Maker, Photographer, Celebrity, Actor Singer, Musician, Performer, Artist, Contributor, Writer, Novelist | 66 (14.19) |
| Lay Person | Commoner, ordinary citizen, not identifiable as any other category | 226 (48.60) |
| Business/Commercial Organization | Non-media, non-travel, businesses, investors, companies | 4 (0.86) |
| Travel Industry | Airline, tour operator, or any other company working to promote travel services or industry | 12 (2.58) |
| Politician | Somebody who identifies him/herself as such. | 21 (4.51) |
| Healthcare | Private or public health organization, ministries, hospital, care unit, agency, safety | 5 (1.07) |
| Government Entities | Any government entity (FBI, DOJ, White House, State govt., senate, house of representatives, foreign governments, etc) | 8 (1.72) |
| Not-for-Profit or Foundation | A non-business entity advocating a particular social cause, travel industry or services | 4 (0.8) |
| Activist | Someone who identifies explicitly as an activist or an advocate | 8 (1.72) |
Distribution of tweets by theme.
| Variable/sub-variable | Definition | Count (%) |
|---|---|---|
| Predisposition | ||
| Mistrust | Tweet critical of such a passport because of a lack of trust in the system or vaccine. This could also include mistrust about fake passports. | 13 (2.8) |
| Conspiracy | Tweets having mention of a conspiracy related to the COVID-19 vaccine or the passport | 9 (1.9) |
| Lack of information/literacy | Tweet indicating the need for further information, or understanding the COVID passport | 7 (1.5) |
| Unknown | Tweets that do not belong to any of the other themes and could not be classified into a meaningful category | 436 (93.7) |
| Knowledge | ||
| Self-Efficacy: Vaccine Passport | Tweet indicates knowledge, confidence, or information of how to get the COVID passport | 108 (23.2) |
| Self-Efficacy: No evidence of | Self-efficacy is not reflected in the tweet | 357 (76.8) |
| Cues to Action: Stated | Tweet encourages or implies getting the COVID passport/certificate (can include tweet which indicates if my friends, family, or someone you know are getting the passport; shows approval) | 135 (29) |
| Cues to Action: Not Stated | Tweet does not provide any cues to action | 330 (71) |
| Protests | ||
| Protests: Stated | Tweet supports, shows, or reports demonstration, riots, or protest against the vaccine passport | 47 (10.1) |
| Protests: Not Stated | Twee does not provide any sing of protests | 418 (89.9) |
| Travel | Tweet highlighting or promoting significance of COVID passport for travelling purposes | 137 (29.5) |
| Social inclusion | Tweet highlighting how COVID19 passport will lead to doing away with social distancing measures thus encouraging normal pre-pandemic social interaction | 20 (4.3) |
| Economic | Tweet highlighting the positive impact of COVID vaccine passport on businesses and economy in general | 18 (3.9) |
| Unknown | Tweets that do not belong to any of the other themes and could not be classified into a meaningful category | 290 (62.4) |
| Lack of Consensus on a Common Standard | Tweet stating or implying a lack of consensus on a common standard for the COVID-19 passport | 79 (17) |
| Privacy Considerations | Tweet portraying privacy fear, threat, or risk associated with COVID passport | 12 (2.6) |
| Digital Divide | Tweet expressing the issues related to lack of equal access to the vaccine passport | 3 (0.6) |
| Personal Freedoms & Human Rights | Tweet identifying such a passport as a human rights issue that can curtail free movement of people | 46 (9.9) |
| Unknown | Tweets that do not belong to any of the other themes and could not be classified into a meaningful category | 325 (69.9) |
Chi-square analysis of HBM/TPB categories towards attitudes.
| Categories | Attitude Towards COVID-19 Passport | ||
|---|---|---|---|
| Pro-Passport n (row %) | Anti-Passport n (row %) | ||
| Predisposition & Knowledge | |||
| | |||
| | 4 (30.8%) | 9 (69.2%) | |
| | 2 (22.2%) | 7 (77.8%) | |
| | 5 (71.4%) | 2 (28.6%) | |
| | 272 (62.4%) | 164 (37.6%) | |
| | |||
| | |||
| Self-Efficacy | 176 (49.3%) | 181 (50.7%) | |
| Self-Efficacy | 107 (99.1%) | 1 (0.9%) | |
| | |||
| Cues to Action | |||
| | |||
| | |||
| | |||
| | 135 (100%) | 0 (0.0%) | |
| | 148 (44.8%) | 182 (55.2%) | |
| | |||
| | |||
| | 2 (4.3%) | 45 (95.7%) | |
| | 281 (67.2%) | 137 (32.8%) | |
| | |||
| Benefits | |||
| | 129 (94.2%) | 8 (5.8%) | |
| | 20 (100%) | 0 (0.0%) | |
| | 18 (100%) | 0 (0.0%) | |
| | 116 (40%) | 174 (60%) | |
| | |||
| Barriers | |||
| | 69 (87.3%) | 10 (12.7%) | |
| | 5 (41.7%) | 7 (58.3%) | |
| | 1 (33.3%) | 2 (66.7%) | |
| | 3 (6.5%) | 43 (93.5%) | |
| | 205 (63.1%) | 120 (36.9%) | |
| | |||
Significantly associated with attitudes towards vaccine passport (sentiment).
Unknown categories were excluded from the Chi-square analysis.
Fig. 1COVID-19 Passport Sentiment/Attitudes Classified based on Barriers.
Fig. 2Analysis of Attitude Towards Vaccine Passports using the Applicable HBM & TPB Variables.