Analysis on the literature communication path of new media integrating public mental health
The communication of mental health is an important branch of health communication, and it is also an important factor affecting people’s physical and mental health. With the increasing pressure of life, people’s mental health problems have huge challenges. Under the enormous pressure of economy and...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2022-09-01
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Series: | Frontiers in Psychology |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.997558/full |
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author | Shaojing Liu Shaojing Liu |
author_facet | Shaojing Liu Shaojing Liu |
author_sort | Shaojing Liu |
collection | DOAJ |
description | The communication of mental health is an important branch of health communication, and it is also an important factor affecting people’s physical and mental health. With the increasing pressure of life, people’s mental health problems have huge challenges. Under the enormous pressure of economy and life, people’s mental health problems are becoming increasingly prominent. This calls for attention to mental health issues. In the context of new media, knowledge about mental health can be disseminated through the Internet and mobile platforms. This approach will spread awareness of mental health prevention and basic issues. Mental health problems are also a manifestation of the lack of humanistic spirit. Excellent works related to humanistic spirit can promote the relief of mental health problems. Literature can contribute to the development of mental health problems. This research studies the communication of mental health issues in the context of new media using literary works as a carrier. At the same time, it also considers big data-related algorithms to mine the traditional characteristics of mental health problems. The research results show that new media technology can well assist the dissemination of mental health education, and literary works also contribute to the dissemination of mental health education knowledge. Collaborative filtering algorithm and atrous convolution algorithm can better predict the relevant characteristics in the process of mental health communication. For the CF algorithm, its maximum similarity index reached 0.987 when recommending mental health propagation paths using new media technology. For ACNN, the smallest prediction error is only 1.78%. |
first_indexed | 2024-04-11T21:01:55Z |
format | Article |
id | doaj.art-755d717853d74b35a6794730a6be20a0 |
institution | Directory Open Access Journal |
issn | 1664-1078 |
language | English |
last_indexed | 2024-04-11T21:01:55Z |
publishDate | 2022-09-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Psychology |
spelling | doaj.art-755d717853d74b35a6794730a6be20a02022-12-22T04:03:28ZengFrontiers Media S.A.Frontiers in Psychology1664-10782022-09-011310.3389/fpsyg.2022.997558997558Analysis on the literature communication path of new media integrating public mental healthShaojing Liu0Shaojing Liu1School of Chinese Language and Literature, Linyi University, Linyi, ChinaCenter for Literary Theory and Aesthetics, School of Literature, Shandong University, Jinan, ChinaThe communication of mental health is an important branch of health communication, and it is also an important factor affecting people’s physical and mental health. With the increasing pressure of life, people’s mental health problems have huge challenges. Under the enormous pressure of economy and life, people’s mental health problems are becoming increasingly prominent. This calls for attention to mental health issues. In the context of new media, knowledge about mental health can be disseminated through the Internet and mobile platforms. This approach will spread awareness of mental health prevention and basic issues. Mental health problems are also a manifestation of the lack of humanistic spirit. Excellent works related to humanistic spirit can promote the relief of mental health problems. Literature can contribute to the development of mental health problems. This research studies the communication of mental health issues in the context of new media using literary works as a carrier. At the same time, it also considers big data-related algorithms to mine the traditional characteristics of mental health problems. The research results show that new media technology can well assist the dissemination of mental health education, and literary works also contribute to the dissemination of mental health education knowledge. Collaborative filtering algorithm and atrous convolution algorithm can better predict the relevant characteristics in the process of mental health communication. For the CF algorithm, its maximum similarity index reached 0.987 when recommending mental health propagation paths using new media technology. For ACNN, the smallest prediction error is only 1.78%.https://www.frontiersin.org/articles/10.3389/fpsyg.2022.997558/fullmental healthcommunication pathsliterary worksnew mediaincreasing pressure |
spellingShingle | Shaojing Liu Shaojing Liu Analysis on the literature communication path of new media integrating public mental health Frontiers in Psychology mental health communication paths literary works new media increasing pressure |
title | Analysis on the literature communication path of new media integrating public mental health |
title_full | Analysis on the literature communication path of new media integrating public mental health |
title_fullStr | Analysis on the literature communication path of new media integrating public mental health |
title_full_unstemmed | Analysis on the literature communication path of new media integrating public mental health |
title_short | Analysis on the literature communication path of new media integrating public mental health |
title_sort | analysis on the literature communication path of new media integrating public mental health |
topic | mental health communication paths literary works new media increasing pressure |
url | https://www.frontiersin.org/articles/10.3389/fpsyg.2022.997558/full |
work_keys_str_mv | AT shaojingliu analysisontheliteraturecommunicationpathofnewmediaintegratingpublicmentalhealth AT shaojingliu analysisontheliteraturecommunicationpathofnewmediaintegratingpublicmentalhealth |