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

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 ap...

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Main Authors: Dong-Hun Kim, Beob-Heon Kim
Format: Article
Language:English
Published: SAGE Publishing 2025-05-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/21582440251340132
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author Dong-Hun Kim
Beob-Heon Kim
author_facet Dong-Hun Kim
Beob-Heon Kim
author_sort Dong-Hun Kim
collection DOAJ
description 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.
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series SAGE Open
spelling doaj-art-124b489d74fa4be19fde0bbe723f15e02025-08-20T03:48:26ZengSAGE PublishingSAGE Open2158-24402025-05-011510.1177/21582440251340132A Study on the Social Perception of Risks From Electromagnetic Wave—Focusing on Big Data-Based Text Mining AnalysisDong-Hun Kim0Beob-Heon Kim1Chosun University, Gwangju, Republic of KoreaChosun University, Gwangju, Republic of KoreaThis 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.https://doi.org/10.1177/21582440251340132
spellingShingle Dong-Hun Kim
Beob-Heon Kim
A Study on the Social Perception of Risks From Electromagnetic Wave—Focusing on Big Data-Based Text Mining Analysis
SAGE Open
title A Study on the Social Perception of Risks From Electromagnetic Wave—Focusing on Big Data-Based Text Mining Analysis
title_full A Study on the Social Perception of Risks From Electromagnetic Wave—Focusing on Big Data-Based Text Mining Analysis
title_fullStr A Study on the Social Perception of Risks From Electromagnetic Wave—Focusing on Big Data-Based Text Mining Analysis
title_full_unstemmed A Study on the Social Perception of Risks From Electromagnetic Wave—Focusing on Big Data-Based Text Mining Analysis
title_short A Study on the Social Perception of Risks From Electromagnetic Wave—Focusing on Big Data-Based Text Mining Analysis
title_sort study on the social perception of risks from electromagnetic wave focusing on big data based text mining analysis
url https://doi.org/10.1177/21582440251340132
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