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1Cancer Policy Branch, National Cancer Center, Goyang, Korea
2College of Communication, Yonsei University, Seoul, Korea
3College of Education, Korea University, Seoul, Korea
4Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology, Daejeon, Korea
5Media Laboratories, Yonhap News Agency, Seoul, Korea
6Department of Preventive Medicine, Gachon University School of Medicine, Incheon, Korea
©2014, Korean Society of Epidemiology
This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- How do people emotionally react to news or information about various carcinogens and carcinogenic factors?
- How will these feelings change if the information turns out to be inaccurate—or is verified through scientific experiment?
- When new information on a carcinogenic food product is presented, how quickly will people’s feelings change into a particular emotional state?
- Classical methods (reading, understanding, and analyzing SNS contents directly) can complement computer-aided natural language analysis in overcoming accuracy problems. In particular, a variety of qualitative manual analysis can be performed at low cost using a service called Mechanical Turk of Amazon, which has been actively used in many qualitative studies in recent years, in parallel to manual analysis. In South Korea, there is a similar small-scale, survey-based service; wiki-based topic analysis is also well suited to South Korea, given its high Internet penetration and participation rates.