Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AEATZ2DPZ" target="_blank" >RIV/00216208:11320/22:EATZ2DPZ - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1007/s13278-022-00946-0" target="_blank" >https://doi.org/10.1007/s13278-022-00946-0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s13278-022-00946-0" target="_blank" >10.1007/s13278-022-00946-0</a>

Result language
angličtina
Original language name
Automatically detecting and understanding the perception of COVID-19 vaccination: a middle east case study
Original language description
The development of COVID-19 vaccines has been a great relief in many countries that have been affected by the pandemic. As a result, many governments have made significant efforts to purchase and administer vaccines to their populations. However, accommodating such vaccines is typically confronted with people’s reluctance and fear. Like any other important event, COVID-19 vaccines have attracted people’s discussions on social media and impacted their opinions about vaccination.
Czech name
—
Czech description
—

Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)