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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

—

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Social Network Analysis and Mining [online]

ISSN

1869-5469

e-ISSN

1869-5469

Svazek periodika

12

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

AT - Rakouská republika

Počet stran výsledku

26

Strana od-do

1-26

Kód UT WoS článku

000850320100001

EID výsledku v databázi Scopus

2-s2.0-85137556733