Students Assessing Digital News and Misinformation
Autor: | Thomas Nygren, Caroline Liberg, Mona Guath, Jenny Wiksten Folkeryd |
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Rok vydání: | 2020 |
Předmět: |
Focus (computing)
business.industry 05 social sciences Internet privacy 050301 education Contrast (statistics) 050801 communication & media studies 0508 media and communications Trustworthiness Critical thinking Credibility ComputingMilieux_COMPUTERSANDEDUCATION Fake news Misinformation business Psychology 0503 education Digital literacy |
Zdroj: | Disinformation in Open Online Media ISBN: 9783030618407 MISDOOM |
DOI: | 10.1007/978-3-030-61841-4_5 |
Popis: | Previous research has highlighted how young people struggle to distinguish news from misinformation. In this study, we investigate how ca. 400 students determine the trustworthiness of false, biased and credible news. We find that students use different strategies depending on what they evaluate. For example, students who fail to debunk a manipulated image often rely on what they see in the image in contrast to students who determine credibility upon what is not in the image. Students finding junk news credible may have special problems separating different kinds of sources. We identify potentials and pitfalls among students important for further investigation, research and a focus on education. |
Databáze: | OpenAIRE |
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