Understanding the Impact of Information Sources on COVID-19 related Preventive Measures in Finland
| dc.contributor.author | Farooq Ali | |
| dc.contributor.author | Laato Samuli | |
| dc.contributor.author | Islam A.K.M. Najmul | |
| dc.contributor.author | Isoaho Jouni | |
| dc.contributor.organization | fi=kyberturvallisuusteknologia|en=Cyber Security Engineering| | |
| dc.contributor.organization | fi=tietotekniikan laitos|en=Department of Computing| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.28753843706 | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.85312822902 | |
| dc.contributor.organization-code | 2610300 | |
| dc.contributor.organization-code | 2610304 | |
| dc.converis.publication-id | 53074307 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/53074307 | |
| dc.date.accessioned | 2022-10-28T13:48:48Z | |
| dc.date.available | 2022-10-28T13:48:48Z | |
| dc.description.abstract | <p>The COVID-19 pandemic amplified the influence of information reporting on human behavior, as people were forced to quickly adapt to a new health threatening situation by relying on new information. Drawing from protection-motivation and cognitive load theories, we formulated a structural model eliciting the impact of the three online information sources: (1) social media, (2) official websites, and (3) other online news sources; on motivation to adopt recommended COVID-19 preventive measures. The model was tested with the data collected from university employees and students (n=225) in March 2020 through an online survey and analyzed using partial least square structural equation modeling (PLS-SEM). We observed that social media and other online news sources increased information overload amongst the online information sources. This, in turn, negatively affected individuals' self-isolation intention by increasing perceived response costs and decreasing response efficacy. The study highlights the role of online information sources on preventive behaviors during pandemics.</p> | |
| dc.identifier.eissn | 1879-3274 | |
| dc.identifier.jour-issn | 0160-791X | |
| dc.identifier.olddbid | 184485 | |
| dc.identifier.oldhandle | 10024/167579 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/36729 | |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0160791X21000488?via=ihub | |
| dc.identifier.urn | URN:NBN:fi-fe2021042823650 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Farooq, Ali | |
| dc.okm.affiliatedauthor | Laato, Samuli | |
| dc.okm.affiliatedauthor | Islam, Najmul | |
| dc.okm.affiliatedauthor | Isoaho, Jouni | |
| dc.okm.discipline | 113 Computer and information sciences | en_GB |
| dc.okm.discipline | 113 Tietojenkäsittely ja informaatiotieteet | fi_FI |
| dc.okm.internationalcopublication | not an international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A1 ScientificArticle | |
| dc.publisher | Elsevier | |
| dc.publisher.country | United Kingdom | en_GB |
| dc.publisher.country | Britannia | fi_FI |
| dc.publisher.country-code | GB | |
| dc.relation.articlenumber | 101573 | |
| dc.relation.doi | 10.1016/j.techsoc.2021.101573 | |
| dc.relation.ispartofjournal | Technology in Society | |
| dc.relation.volume | 65 | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/167579 | |
| dc.title | Understanding the Impact of Information Sources on COVID-19 related Preventive Measures in Finland | |
| dc.year.issued | 2021 |
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