|
KMID : 0379220210410040505
|
|
Journal of Korea Gerontological Society
2021 Volume.41 No. 4 p.505 ~ p.525
|
|
|
Social Perceptions and Attitudes toward the Elderly Shared Online: Focusing on Social Big Data Analysis
|
|
An Soon-Tae
Lee Ha-Nnah
Chung Soon-Dool
|
|
|
Abstract
|
|
|
|
The purpose of this study is to examine how the phrase “old person” are expressed and used in the online sphere. Based on the theoretical concept of stigma, this study investigates the images and attitudes in society toward the elderly, and the characteristics of hate speech aimed at the elderly. Method. This study conducted text mining based on social big data using anonymous conversations. Results. It was confirmed that the elderly images shared online were generally negative. The attitudes expressed toward them also tended to be negative due to the negative images that are propagated of the elderly. The hate speech relating to the elderly, in usages such as ‘Teul-ttag’ and ‘Kon-dae’, were mainly identified in comments that negatively evaluate the elderly, and these expressions demonstrate the depth of hate and discrimination towards the elderly who are considered burdensome by young people. Interestingly, the hateful expressions towards the elderly were found more with regard to issues related to politics and economics and not just any content about the elderly. Conclusions. This study discussed the ways and means to enhance inter-generational understanding and solidity.
|
|
|
KEYWORD
|
|
|
Elderly, Elderly stigma, Hate speech, Social Big-data, Text mining
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|