Publication Type
Journal Article
Version
acceptedVersion
Publication Date
3-2020
Abstract
In March 2011, the catastrophic accident known as "The Fukushima Daiichi nuclear disaster" took place, initiated by the Tohoku earthquake and tsunami in Japan. The only nuclear accident to receive a Level-7 classification on the International Nuclear Event Scale since the Chernobyl nuclear power plant disaster in 1986, the Fukushima event triggered global concerns and rumors regarding radiation leaks. Among the false rumors was an image, which had been described as a map of radioactive discharge emanating into the Pacific Ocean, as illustrated in the accompanying figure. In fact, this figure, depicting the wave height of the tsunami that followed, still to this date circulates on social media with the inaccurate description. Social media is ideal for spreading rumors, because it lacks censorship. Confirmation bias and filter-bubble effects further amplify the spread of unconfirmed information. Upon public outcry, independent fact-checking organizations have emerged globally, and many platforms are making efforts to fight against fake news.
Keywords
Social media, fake news, rumors, Asia Pacific, disasters, fact checking
Discipline
Asian Studies | Databases and Information Systems | Social Media
Research Areas
Data Science and Engineering
Publication
Communications of the ACM
Volume
63
Issue
4
First Page
68
Last Page
71
ISSN
0001-0782
Identifier
10.1145/3378422
Publisher
ACM
Citation
CHA, Meeyoung; GAO, Wei; and LI, Cheng-Te.
Detecting fake news in social media: An Asia-Pacific perspective. (2020). Communications of the ACM. 63, (4), 68-71.
Available at: https://ink.library.smu.edu.sg/sis_research/5108
Copyright Owner and License
Authors
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1145/3378422