Estudo destaca o papel importante da madia em desmistificar a desinformação do COVID-19
De 2.000 artigos de notacias sobre COVID-19 publicados entre 1 de janeiro a 30 de abril de 2020, a equipe da NTU analisou 164 artigos de notacias.
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)
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Um estudo da Universidade Tecnola³gica de Nanyang, Cingapura (NTU Cingapura) descobriu que conforme o tipo de desinformação do COVID-19 retificado pela grande madia de Cingapura evoluiu ao longo da pandemia, o papel desempenhado pela madia em desmascarar esses mitos se tornou cada vez mais importante aos cidada£os na luta dopaís para controlar o surto.
De 2.000 artigos de notacias sobre COVID-19 publicados entre 1 de janeiro a 30 de abril de 2020, a equipe da NTU analisou 164 artigos de notacias.
A equipe observou que as notacias que corrigiam a desinformação cientafica e relacionada a saúde do COVID-19 eram dominantes no inicio do surto devido a incerteza em torno da natureza do coronavarus, mas depois diminuaram ao longo dos primeiros quatro meses da pandemia.
Enquanto isso, informações falsas sobre políticas e medidas governamentais implementadas durante o surto foram cada vez mais relatadas e posteriormente corrigidas, descobriram os pesquisadores de comunicação da Escola de Comunicação e Informação Wee Kim Wee da NTU (NTU WKWSCI).
O tipo de desinformação corrigido na madia convencional também evoluiu ao longo dos quatro meses, mudando de desinformação fabricada - definida como alegações inventadas e completamente falsas - para desinformação reconfigurada, definida como uma mistura de informações autaªnticas e fabricadas.
Um exemplo de conteaºdo fabricado corrigido pela grande madia inclui falsas alegações, alegando que uma estação MRT foi fechada para desinfecção devido ao COVID-19 quando estava operacional. Um exemplo de desinformação reconfigurada retificada pela grande madia inclui uma postagem no WhatsApp sobre um motorista de entrega de comida sendo multado em US $ 300 por usar uma ma¡scara de pano quando o motorista estava, de fato, se aproximando do policial para obter ajuda.
Os resultados do estudo destacam como as crises de saúde pública, como a pandemia COVID-19 em curso, podem ser o terreno fanãrtil para a desinformação, bem como o potencial da madia convencional para desempenhar um papel importante em desmascarar mitos como parte dos esforços pandaªmicos mais amplos dopaís.
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O professor May Oo Lwin, presidente da Escola de Comunicação e Informação Wee Kim Wee e principal autor do estudo, disse: "No inicio da pandemia, vaamos informações incorretas que eram claramente falsas com base em dicas visuais e de texto claras, mas como a pandemia evoluiu com as últimas fases e ondas infodaªmicas, os estilos de desinformação e apresentação tornaram-se mais sofisticados e mais difaceis para o paºblico leigo discernir. "
"a‰ aqui que a grande madia, com sua importa¢ncia social, amplo alcance e papel como fonte de informação confia¡vel para o paºblico em tempos de incerteza, pode desempenhar um papel crucial na disseminação oportuna da correção da desinformação e evitar que as pessoas sejam enganadas e agir sobre desinformação potencialmente prejudicial. a‰ importante combater a propagação de desinformação, que pode minar os principais esforços de comunicação da saúde pública e piorar a pressão sobre os sistemas de saúde pública. "
O estudo foi publicado na revista cientafica Health Communication em junho.
Evolução da desinformação
De mais de 2.000 artigos de notacias sobre COVID-19 identificados a partir de um banco de dados por meio de palavras-chave relacionadas ao coronavarus e desinformação, a equipe da NTU selecionou 164 artigos exclusivos específicos de Cingapura para análise com base em critanãrios como artigos com palavras-chave mencionadas no título e no lead.
Nesses 164 artigos, a equipe encontrou 100 declarações exclusivas de desinformação que foram corrigidas 305 vezes. Destas 100 alegações únicas, 59% das alegações de desinformação relatadas pela grande madia de notacias foram baseadas em informações fabricadas, enquanto os 41% restantes foram desinformação reconfigurada.
Para estudar como a cobertura do jornal principal e a correção da desinformação do COVID-19 variaram ao longo do cronograma da pandemia em Cingapura, os pesquisadores dividiram o estudo em diferentes esta¡gios:
fase de pré-surto (1 de janeiro a 22 de janeiro);
esta¡gio inicial de surto, entre o primeiro caso COVID-19 e imediatamente antes donívelde
Condição do Sistema de Resposta a Surto de Doena§a (Dorscon) ser elevado para laranja (23 de janeiro a 6 de fevereiro);
primeira onda do surto, (7 de fevereiro a 4 de abril); e
segunda onda do surto (5 de abril a 30 de abril).
No esta¡gio de pré-surto, a desinformação fabricada foi responsável por 87% das correções publicadas na grande madia. No entanto, na segunda onda do surto, a proporção de desinformação retificada fabricada publicada na grande madia caiu para 48%.
Mais da metade (55%) da desinformação corrigida na fase de pré-surto era sobre ciência e saúde, mas esse número caiu gradualmente para apenas 8% na segunda onda do surto. Enquanto isso, a proporção de desinformação relacionada a políticas e medidas governamentais que foi corrigida saltou de 11% no inicio para 42% durante a segunda onda.
Os pesquisadores também descobriram que a desinformação sobre as políticas e medidas governamentais (68%), bem como sobre ciência e saúde (66%) encontrada nas redes sociais, era mais prova¡vel de ser fabricada. A desinformação relacionada a golpes tinha maior probabilidade de ser reconfigurada, ou seja, uma mistura de informações autaªnticas e fabricadas (88%).
O professor associado Edson Tandoc Jr. da Escola de Comunicação e Informação Wee Kim Wee e coautor do artigo disse: "Enquanto a madia verifica o que se torna viral, as checagens de fatos também refletem a tendaªncia de desinformação circulando por aa. Vemos que os tipos de desinformação que se espalham são afetados pela situação real e, atécerto ponto, éisso que os torna virais, porque parecem oportunos e relevantes para o que estãoacontecendo.
"Nos esta¡gios iniciais da pandemia, a maior parte da desinformação centrou-se no que estãoacontecendo fora de Cingapura, bem como na origem e remanãdios para COVID-19; quando atingiu Cingapura e medidas estavam sendo postas em prática , as mensagens de desinformação passaram a ser sobre embaixadores do distanciamento social multando infratores ou motoristas sendo multados por usarem máscaras de pano. "
A confianção na madia de Cingapura aumentou em meio a pandemia
A importa¢ncia da madia no combate a desinformação durante uma crise de saúde foi reiterada em uma pesquisa separada com mais de 2.000 cingapurianos encomendada pelo Instituto Reuters para o Estudo do Jornalismo (RISJ) da Universidade de Oxford, que descobriu que a confianção na madia aumentou em meio a preocupações persistentes por causa da desinformação durante a pandemia.
A pesquisa, feita em colaboração com pesquisadores do Centro de Integridade da Informação e da Internet (IN-cube) em NTU WKWSCI fez parte do recentemente publicado Reuters Institute Digital News Report 2021, e descobriu que 50% disseram que podiam confiar na maioria dos o conteaºdo de notacias que eles consomem, contra 42% no mesmo período do ano passado, antes da pandemia de COVID-19 atingir Cingapura.
Essa confianção crescente nas notacias existe ao lado de uma preocupação persistente com informações falsas online. Quase dois tera§os dos entrevistados (64,8%) continuaram preocupados com informações falsas online, uma queda marginal em relação ao ano passado (65,8%).
A Assoc Proc Tandoc, que também édiretor do IN-cube da NTU, disse que "essas descobertas em Cingapura, que constataram que o interesse pelas notacias, mesmo nos meios de comunicação tradicionais, aumentou durante a pandemia COVID-19, são consistentes com as de muitospaíses em todo o mundo. O aumento do interesse pelas notacias durante a pandemia pode explicar o aumento nonívelde confianção na madia, já que o paºblico confiava nas notacias para acompanhar o surto. "