تقرير
The science of fake news
| العنوان: | The science of fake news |
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| المؤلفون: | Lazer, David M. J., Baum, Matthew A., Benkler, Yochai, Berinsky, Adam J., Greenhill, Kelly M., Menczer, Filippo, Metzger, Miriam J., Nyhan, Brendan, Pennycook, Gordon, Rothschild, David, Schudson, Michael, Sloman, Steven A., Sunstein, Cass R., Thorson, Emily A., Watts, Duncan J., Zittrain, Jonathan L. |
| المصدر: | Science 359,1094-1096 (2018) |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computers and Society |
| الوصف: | Fake news emerged as an apparent global problem during the 2016 U.S. Presidential election. Addressing it requires a multidisciplinary effort to define the nature and extent of the problem, detect fake news in real time, and mitigate its potentially harmful effects. This will require a better understanding of how the Internet spreads content, how people process news, and how the two interact. We review the state of knowledge in these areas and discuss two broad potential mitigation strategies: better enabling individuals to identify fake news, and intervention within the platforms to reduce the attention given to fake news. The cooperation of Internet platforms (especially Facebook, Google, and Twitter) with researchers will be critical to understanding the scale of the issue and the effectiveness of possible interventions. Comment: This is the accepted version of the article, posted to comply with public access mandates. The final published version is available at https://doi.org/10.1126/science.aao2998 |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1126/science.aao2998 |
| URL الوصول: | http://arxiv.org/abs/2307.07903 |
| رقم الأكسشن: | edsarx.2307.07903 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1126/science.aao2998 |
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