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            <name>Title</name>
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                <text>Coronavirus</text>
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                <text>Dominio científico: Coronavirus</text>
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              <text>Leveraging volunteer fact checking to identify misinformation about COVID-19 in social media</text>
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              <text>Hyunuk Kim, Dylan Walker</text>
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              <text>Identifying emerging health misinformation is a challenge because its manner and type are often unknown. However, many social media users correct misinformation when they encounter it. From this intuition, we implemented a strategy that detects emerging health misinformation by tracking replies that seem to provide accurate information. This strategy is more efficient than keyword-based search in identifying COVID-19 misinformation about antibiotics and a cure. It also reveals the extent to which misinformation has spread on social networks.</text>
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              <text>2020</text>
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              <text>Public health, covid-19, social media, disinformation, twitter, fact-checking</text>
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              <text>10.37016/mr-2020-021</text>
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              <text>Epidemiology and Health</text>
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          <name>Publisher</name>
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              <text>Korean Society of Epidemiology</text>
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              <text>Communication. Mass media, Information technology</text>
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