Abstract
This study aims to investigate how the issue of misinformation is expanded in academic fields. Using the bibliometric data in the recent decade, we employ network analysis on author keywords to reveal the evolution of the academic network. Our results show that the academic areas in terms of misinformation-relevant topics have been grown rapidly and the author keywords network turn out to be complicated. This paper indicates that the theme of misinformation becomes more critical in academia, which leads us to estimate the impact thereof in the real world.
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He Predicted the 2016 Fake News Crisis. Now He’s Worried About an Information Apocalypse. BuzzFeedsNews. https://www.buzzfeednews.com/article/charliewarzel/the-terrifying-future-of-fake-news/Article/2018/He-Predicted-the-2016-Fake-News-Crisis-Now-He’s-Worried-About-an-Information-Apocalypse. Accessed 14 Oct 2019
Goole Makes Deep Fakes to Fight Deep Fakes. https://www.bbc.com/news/technology-49837927/Article/2019/Google-Makes-Deep-Fakes-to-Fight-Deep-Fakes. Accessed 14 Oct 2019
Lee, P.-C., Su, H.-N.: Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis. Innovation 12, 26–40 (2010)
Tversky, A., Kahneman, D.: Judgment under uncertainty: heuristics and biases. Science 185, 1124–1130 (1974). https://doi.org/10.1126/science.185.4157.1124
Kim, E., Kim, K.: Cognitive styles in design problem solving: insights from network-based cognitive maps. Des. Stud. 40, 1–38 (2015)
Tversky, B., Suwa, M.: Thinking with sketches
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Lee, S., Nah, K. (2020). A Counterattack of Misinformation: How the Information Influence to Human Being. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_93
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DOI: https://doi.org/10.1007/978-3-030-39512-4_93
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