The Effects of Self-Control on Internet Immersion : The Moderating Effects of Parenting Attitude

Jea-Ug, Ko; Kim, Ki‐Hyun; Jeon, Jin-Ho

doi:10.47116/apjcri.2021.09.05

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…Since the widespread application of Internet technology, people are faced with the severe problem of information explosion. The information on the Internet keeps increasing, and its growth momentum is rapid, with geometric magnitude [1][2][3]. The Internet can carry amazing information, and the world is submerged in information.…”

Section: Introductionmentioning

confidence: 99%

Text Classification of Mixed Model Based on Deep Learning

Lee

2023

Teh. glas. (Online)

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At present, deep learning has been widely used many fields, but the research on text classification is still relatively few. This paper makes full use of the good learning characteristics of deep learning, proposes a hybrid model based on deep learning, and designs a text classifier based on the hybrid model. This hybrid model uses two common deep learning models, sparse automatic encoder and deep confidence network, to mix. The hybrid model is mainly composed of three parts, the first two layers are constructed by sparse automatic encoder, the middle layer is a three-layer depth Convolutional Neural Network (CNN), and finally Softmax regression is used as the classification layer. In order to test the classification performance of the classifier based on deep learning hybrid model, relevant experiments were conducted on English data set 20Newsgroup and Chinese data set Fudan University Chinese Corpus. In the English text classification experiment, the classifier based on deep learning hybrid model is used to classify, and a high classification accuracy rate is obtained. In order to further verify the superiority of its performance, a comparative experiment with naive Bayes classifier, K-Nearest Neighbor (KNN) classifier and Support Vector Machine (SVM) classifier demonstrates that the classification effect of the classifier based on deep learning hybrid model is better than that of naive Bayes classifier, KNN classifier and support vector machine classifier. In the experiment of Chinese text classification, the Chinese corpus of Fudan University is tested, and a good classification effect is obtained. The influence of different parameter settings on the classification accuracy is discussed.

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Section: Introductionmentioning

confidence: 99%

Text Classification of Mixed Model Based on Deep Learning

Lee

2023

Teh. glas. (Online)

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How stress influences short video addiction in China: an extended compensatory internet use model

Hu,

Huang

2024

Front. Psychol.

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IntroductionThe rise of short video applications has become a defining feature of modern digital media consumption, drawing increasing attention from researchers due to issues related to short video addiction. While earlier studies have examined the perceived stress as a cause of short video addiction, there is limited understanding of the potential mechanisms underlying the relationship between these two variables. Building on compensatory Internet use (CIU) theory, this study introduces an extended model (E-CIU) to explore how stress, compensatory motivations (i.e., social interaction and relaxing entertainment), and affective responses (i.e., immersion and attitude) relate to short video addiction. This study also examines differences between the age groups.MethodsData from 319 Chinese short video users were tested applying partial least squares structural equation modeling (PLS-SEM) and PLS-SEM multigroup analysis.ResultsFindings indicate that stress, immersion, and attitude each contribute positively to short video addiction. Stress is linked to both social interaction and relaxing entertainment. While both factors positively affect attitude toward short videos, only relaxing entertainment enhances immersion. Results confirmed the perceived stress indirectly influences short video addiction through a serial mediating pathway comprising motivations and affective responses. Moreover, the study shows that perceived stress influences social interaction, relaxing entertainment influences attitude and immersion, and social interaction influences immersion across all age groups. The study further identified variations in how different groups experience the relationship between stress and addiction, stress and relaxation, attitude and addiction, and immersion and addiction.DiscussionConsequently, this study enriches the understanding of the E-CIU as a new theoretical model of short video addiction. These insights offer practical recommendations for short video applications to address user engagement and addiction more effectively.

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The Effects of Self-Control on Internet Immersion : The Moderating Effects of Parenting Attitude

Cited by 2 publications

References 3 publications

Text Classification of Mixed Model Based on Deep Learning

Text Classification of Mixed Model Based on Deep Learning

How stress influences short video addiction in China: an extended compensatory internet use model

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