Sentiment analysis of Indonesian tweets on COVID-19 and COVID-19 vaccinations DOI Creative Commons
Viskasari Pintoko Kalanjati, Nurina Hasanatuludhhiyah,

Annette d’Arqom

et al.

F1000Research, Journal Year: 2023, Volume and Issue: 12, P. 1007 - 1007

Published: Nov. 22, 2023

Background Sentiments and opinions regarding COVID-19 the vaccination on Indonesian-language Twitter are scarcely reported in one comprehensive study, thus were aimed at our study. We also analyzed fake news facts, engagement to understand people’s perceptions beliefs that determine public health literacy. Methods collected 3,489,367 tweets data from January 2020 August 2021. factual using string comparison method. The difflib library was used measure similarity. user’s by averaging metrics of tweets, retweets, favorites, replies, posts shared with sentiments vaccination. Result Positive dominated, however, negative increased during beginning implementation restrictions community activities (PPKM). dominated importance protocols (washing hands, keeping distance, wearing masks). Several types vaccines top word count vaccine subtopic. Acceptance studied period, overweighed facts. dynamic showed engaged topics changed nature virus mutation which peaked early middle terms sentiment shifted hesitancy anxiety towards safety effectiveness vaccines, whilst again into wariness an uprising delta variant. Conclusion Understanding opinion can help policymakers plan best strategy cope pandemic. fact-based COVID-19, had been shown predominantly. However, sufficient literacy levels could yet be predicted sought for further study.

Language: Английский

Letramento vacinal e sua relação com os indicadores de saúde DOI Open Access
Inaldo Kley do Nascimento Moraes, Vanessa Meira Maia, Sérgio Donha Yarid

et al.

Saúde com, Journal Year: 2024, Volume and Issue: 19(4)

Published: Jan. 15, 2024

Objetivo: compreender o letramento vacinal e sua relação com os indicadores em saúde. Método: Pesquisa de abordagem metodológica natureza descritiva, da tipologia, revisão integrativa literatura. A questão norteadora estabelecida foi: Qual a do saúde? busca ocorreu entre meses agosto à setembro 2023, na base dados Biblioteca Virtual Saúde (BVS); descritores Ciências (DeCS) utilizados, foram: Letramento Saúde; Vacina Indicadores combinados operador booleano AND. Os critérios para seleção dos artigos: Utilizou-se como critério inclusão: artigos que tivessem interesse pesquisa saúde aplicados no ambito investigassem alfabetização hesitação e/ou motivação se vacinar, escritos língua portuguêsa, disponíveis download publicados nos últimos cinco anos (2018 2023). O exclusão aplicado apareceram repetidos. Resultados: realizada neste estudo analisou um total 19 selecionados dentre 34 encontrados resultados destacam influência determinantes saúde, afetando suscetibilidade desinformação teorias conspiração sobre vacinas, assim acesso aos serviços saúde.Considerações Finais: sublinhou importância promoção vacinação redução hesitação, tendo implicações significativas prevenção doenças. Portanto, necessidade estratégias comunicação adaptadas contextos culturais foi enfatizada melhorar qualidade vida pública. Palavras-chave: Saúde. Vacina.

Citations

0
Sentiment analysis of Indonesian tweets on COVID-19 and COVID-19 vaccinations DOI Creative Commons
Viskasari Pintoko Kalanjati, Nurina Hasanatuludhhiyah,

Annette d’Arqom

et al.

F1000Research, Journal Year: 2024, Volume and Issue: 12, P. 1007 - 1007

Published: March 12, 2024

Background Sentiments and opinions regarding COVID-19 the vaccination on Indonesian-language Twitter are scarcely reported in one comprehensive study, thus were aimed at our study. We also analyzed fake news facts, engagement to understand people’s perceptions beliefs that determine public health literacy. Methods collected 3,489,367 tweets data from January 2020 August 2021. factual using string comparison method. The difflib library was used measure similarity. user’s by averaging metrics of tweets, retweets, favorites, replies, posts shared with sentiments vaccination. Result Positive dominated, however, negative increased during beginning implementation restrictions community activities (PPKM). dominated importance protocols (washing hands, keeping distance, wearing masks). Several types vaccines top word count vaccine subtopic. Acceptance studied period, overweighed facts. dynamic showed engaged topics changed nature virus mutation which peaked early middle terms sentiment shifted hesitancy anxiety towards safety effectiveness vaccines, whilst again into wariness an uprising delta variant. Conclusion Understanding opinion can help policymakers plan best strategy cope pandemic. fact-based COVID-19, had been shown predominantly. However, sufficient literacy levels could yet be predicted sought for further study.

Language: Английский

Citations

0
Sentiment analysis of Indonesian tweets on COVID-19 and COVID-19 vaccinations DOI Creative Commons
Viskasari Pintoko Kalanjati, Nurina Hasanatuludhhiyah,

Annette d’Arqom

et al.

F1000Research, Journal Year: 2024, Volume and Issue: 12, P. 1007 - 1007

Published: April 16, 2024

Background Sentiments and opinions regarding COVID-19 the vaccination on Indonesian-language Twitter are scarcely reported in one comprehensive study, thus were aimed at our study. We also analyzed fake news facts, engagement to understand people’s perceptions beliefs that determine public health literacy. Methods collected 3,489,367 tweets data from January 2020 August 2021. factual using string comparison method. The difflib library was used measure similarity. user’s by averaging metrics of tweets, retweets, favorites, replies, posts shared with sentiments vaccination. Result Positive dominated, however, negative increased during beginning implementation restrictions community activities (PPKM). dominated importance protocols (washing hands, keeping distance, wearing masks). Several types vaccines top word count vaccine subtopic. Acceptance studied period, overweighed facts. dynamic showed engaged topics changed nature virus mutation which peaked early middle terms sentiment shifted hesitancy anxiety towards safety effectiveness vaccines, whilst again into wariness an uprising delta variant. Conclusion Understanding opinion can help policymakers plan best strategy cope pandemic. fact-based COVID-19, had been shown predominantly. However, sufficient literacy levels could yet be predicted sought for further study.

Language: Английский

Citations

0
Sentiment analysis of Indonesian tweets on COVID-19 and COVID-19 vaccinations DOI Creative Commons
Viskasari Pintoko Kalanjati, Nurina Hasanatuludhhiyah,

Annette d’Arqom

et al.

F1000Research, Journal Year: 2023, Volume and Issue: 12, P. 1007 - 1007

Published: Aug. 21, 2023

Background: Sentiments and opinions regarding COVID-19 the vaccination on Indonesian-language Twitter are scarcely reported in one comprehensive study, thus were aimed at our study. We also analyzed fake news facts, engagement to understand people’s perceptions beliefs that determine public health literacy. Methods: collected 3,489,367 tweets data from January 2020 August 2021. factual using string comparison method. The difflib library was used measure similarity. user's by averaging metrics of tweets, retweets, favorites, replies, posts shared with sentiments vaccination. Result: Positive dominated, however, negative increased during beginning implementation restrictions community activities (PPKM). dominated importance protocols (washing hands, keeping distance, wearing masks). Several types vaccines top word count vaccine subtopic. Acceptance studied period, overweighed facts. dynamic showed engaged topics changed nature virus mutation which peaked early middle terms sentiment shifted hesitancy anxiety towards safety effectiveness vaccines, whilst again into wariness an uprising delta variant. Conclusion: Understanding opinion can help policymakers plan best strategy cope pandemic. fact-based COVID-19, had been shown predominantly. However, sufficient literacy levels could yet be predicted sought for further study.

Language: Английский

Citations

1
Sentiment analysis of Indonesian tweets on COVID-19 and COVID-19 vaccinations DOI Creative Commons
Viskasari Pintoko Kalanjati, Nurina Hasanatuludhhiyah,

Annette d’Arqom

et al.

F1000Research, Journal Year: 2023, Volume and Issue: 12, P. 1007 - 1007

Published: Nov. 22, 2023

Background Sentiments and opinions regarding COVID-19 the vaccination on Indonesian-language Twitter are scarcely reported in one comprehensive study, thus were aimed at our study. We also analyzed fake news facts, engagement to understand people’s perceptions beliefs that determine public health literacy. Methods collected 3,489,367 tweets data from January 2020 August 2021. factual using string comparison method. The difflib library was used measure similarity. user’s by averaging metrics of tweets, retweets, favorites, replies, posts shared with sentiments vaccination. Result Positive dominated, however, negative increased during beginning implementation restrictions community activities (PPKM). dominated importance protocols (washing hands, keeping distance, wearing masks). Several types vaccines top word count vaccine subtopic. Acceptance studied period, overweighed facts. dynamic showed engaged topics changed nature virus mutation which peaked early middle terms sentiment shifted hesitancy anxiety towards safety effectiveness vaccines, whilst again into wariness an uprising delta variant. Conclusion Understanding opinion can help policymakers plan best strategy cope pandemic. fact-based COVID-19, had been shown predominantly. However, sufficient literacy levels could yet be predicted sought for further study.

Language: Английский

Citations

0