A Study on the Social Perception of Risks From Electromagnetic Wave—Focusing on Big Data-Based Text Mining Analysis

Bibliographic Data

ID16911543
AuthorsDong-Hun Kim (0000-0002-0813-2660, Chosun University), Beob-Heon Kim (0009-0007-3069-1235, Chosun University, corresponding author)
Year2025
Volume15
Issue2
Publication date2025-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/21582440251340132
OpenAlexW4410757119
LanguageEN
References cited7

This study aimed to analyze the social perceptions of risks and harm to the human body from electromagnetic waves, which have increased due to the era of the fourth Industrial Revolution and the development of information and communication technology (ICT), and to suggest alternatives. This study applied big-data-based text-mining analysis techniques to collect and analyze 10,681 Korean media reports and portal big data over the last 10 years. As a result, social perceptions shown in the media and portal big data recognized that national policies, such as THAAD, nearby facilities, electronic products used in daily life, and smartphone electromagnetic waves harm the human body and health. Therefore, to establish proper perceptions of electromagnetic waves, this study suggests policy implications, such as strengthening publicity activities for the public on electromagnetic wave safety, expanding the provision of relevant information on electronic products, and establishing a specialized organization for electromagnetic waves

Big data · Cognitive psychology · Data mining · Data science · Perception · Computational and Text Analysis Methods · Computer Science · Diverse Approaches in Healthcare and Education Studies · Psychology · Risk Perception and Management

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