Relationship between university students’ emotional expression on tweets and subjective well-being: Considering the effects of their self-presentation and online communication skills

Ye, Shaoyu; Ho, Kevin; Wakabayashi, Kei; Kato, Yuuki

doi:10.1186/s12889-023-15485-2

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…The examination of social media's impact on subjective well-being by Ye et al [52] further added to the complexity of social media's role in society and illustrated how online interactions can influence individual emotional states and overall well-being.…”

Section: Literature Reviewmentioning

confidence: 99%

Boosting Institutional Identity on X Using NLP and Sentiment Analysis: King Faisal University as a Case Study

Albarrak,

Sorour

2024

Mathematics

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Universities increasingly leverage social media platforms, especially Twitter, for news dissemination, audience engagement, and feedback collection. King Faisal University (KFU) is dedicated to enhancing its institutional identity (ID), grounded in environmental sustainability and food security, encompassing nine critical areas. This study aims to assess the impact of KFU’s Twitter interactions on public awareness of its institutional identity using systematic analysis and machine learning (ML) methods. The objectives are to: (1) Determine the influence of KFU’s Twitter presence on ID awareness; (2) create a dedicated dataset for real-time public interaction analysis with KFU’s Twitter content; (3) investigate Twitter’s role in promoting KFU’s institutional identity across 9-ID domains and its changing impact over time; (4) utilize k-means clustering and sentiment analysis (TFIDF and Word2vec) to classify data and assess similarities among the identity domains; and (5) apply the categorization method to process and categorize tweets, facilitating the assessment of word meanings and similarities of the 9-ID domains. The study also employs four ML models, including Logistic Regression (LR) and Support Vector Machine (SVM), with the Random Forest (RF) model combined with Word2vec achieving the highest accuracy of 100%. The findings underscore the value of KFU’s Twitter data analysis in deepening the understanding of its ID and guiding the development of effective communication strategies.

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Section: Literature Reviewmentioning

confidence: 99%

Boosting Institutional Identity on X Using NLP and Sentiment Analysis: King Faisal University as a Case Study

Albarrak,

Sorour

2024

Mathematics

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“…University students utilize the Internet for various reasons, including leisure activities like participating in online communities or playing games, educational tasks such as completing assignments or applying for scholarships, and practical activities such as researching companies for job interviews. Previous studies have unveiled the rising popularity of social media among students, while more recent investigations have underscored the profound impact that the usage of social media has on their PWB and SWB [41,42]. Research studies have observed a directly or indirectly positive relationship of social media usage with students' PWB [43,44] and SWB [41,42].…”

Section: Students' Social Media Usage and Well-beingmentioning

confidence: 99%

“…Previous studies have unveiled the rising popularity of social media among students, while more recent investigations have underscored the profound impact that the usage of social media has on their PWB and SWB [41,42]. Research studies have observed a directly or indirectly positive relationship of social media usage with students' PWB [43,44] and SWB [41,42]. Specifically, PWB serves as a crucial determinant of the overall quality of life, referring to individuals' emotional states and appraisals of their existence [45], and can include a multiple of dimensions such as autonomy, environmental mastery, personal growth, positive relations with others, purpose in life, and self-acceptance [8].…”

Section: Students' Social Media Usage and Well-beingmentioning

confidence: 99%

How social media usage affects psychological and subjective well-being: testing a moderated mediation model

Zhang,

Tang,

Liu

2023

BMC Psychol

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Background A growing body of literature demonstrates that social media usage has witnessed a rapid increase in higher education and is almost ubiquitous among young people. The underlying mechanisms as to how social media usage by university students affects their well-being are unclear. Moreover, current research has produced conflicting evidence concerning the potential effects of social media on individuals' overall well-being with some reporting negative outcomes while others revealing beneficial results. Methods To address the research gap, the present research made an attempt to investigate the crucial role of social media in affecting students’ psychological (PWB) and subjective well-being (SWB) by testing the mediating role of self-esteem and online social support and the moderation effect of cyberbullying. The data in the study were obtained from a sample of 1,004 college students (483 females and 521 males, Mage = 23.78, SD = 4.06) enrolled at 135 Chinese universities. AMOS 26.0 and SPSS 26.0 as well as the Process macro were utilized for analyzing data and testing the moderated mediation model. Results Findings revealed that social media usage by university students was positively associated with their PWB and SWB through self-esteem and online social support, and cyberbullying played a moderating role in the first phase of the mediation process such that the indirect associations were weak with cyberbullying reaching high levels. Conclusion These findings highlight the importance of discerning the mechanisms moderating the mediated paths linking social media usage by young adults to their PWB and SWB. The results also underline the importance of implementing measures and interventions to alleviate the detrimental impacts of cyberbullying on young adults’ PWB and SWB.

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“…Subjective well-being (SWB) has consistently garnered scholarly attention and is frequently a sought-after state for individuals [ 18 , 19 ]. SWB is a multifaceted construct, distinguishable into two primary components: affective and cognitive well-being [ 20 – 22 ].…”

Section: Introductionmentioning

confidence: 99%

Adhere to the Chinese dietary guidelines associated with better subjective well-being: evidence from a cross-sectional survey and a daily diary investigation

Lin,

Yang,

Lan

et al. 2024

BMC Public Health

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Background Subjective well-being (SWB) plays an essential role in general health. Although beneficial effects of selected micronutrients and foods on SWB have been reported, they do not reflect the impact of the habitual diet on SWB. Therefore, the purpose of this study is to investigate the association between adherence to the Chinese Dietary Guidelines (CDG) with SWB. Methods This study combined a cross-sectional survey and a daily diary investigation. The cross-sectional survey was conducted on 1,433 students from 8 universities in southern China between October and November 2020. The daily diary investigation was conducted in November 2022, collecting 10-day daily data from 115 students at two universities in southern China over ten consecutive days, resulting in 1,020 valid matched daily responses. Adherence to the CDG was assessed by the China Prime Diet Quality Score (CPDQS), SWB was measured by the Index of Well-being (IWB) and the Affect Valuation Index (AVI). Correlation analysis, multiple regression analyses, and hierarchical regression were conducted to examine the associations of adherence to the CDG with its components, and SWB. Results The cross-sectional survey revealed significant predictors of SWB, including adherence to the CDG (β = 0.24, p<0.001) and its components: cereals and tubers (β = 0.07, p = 0.024), vegetables and fruits (β = 0.11, p<0.001), dairy/soy/nuts (β = 0.11, p = 0.002), and condiments and alcoholic beverages (β = 0.08, p = 0.002). The daily diary investigation showed positive associations between adherence to the CDG (β = 0.19, p<0.001), and its components: vegetables and fruits (β = 0.11, p = 0.001), dairy/soy/nuts (β = 0.06, p = 0.009), animal source food (β = 0.06, p = 0.026), and condiments and alcoholic beverages (β = 0.07, p = 0.026), with higher levels of daily SWB. Conclusions Adherence to healthy dietary patterns such as the CDG, rather than focusing on individual components in isolation, is associated with better SWB. Furthermore, the consumption of CDG components had an impact on SWB, although the specific effects varied between the two studies. This study offers modest evidence supporting the role of the CDG in promoting positive mental health.

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Relationship between university students’ emotional expression on tweets and subjective well-being: Considering the effects of their self-presentation and online communication skills

Cited by 10 publications

References 11 publications

Boosting Institutional Identity on X Using NLP and Sentiment Analysis: King Faisal University as a Case Study

Boosting Institutional Identity on X Using NLP and Sentiment Analysis: King Faisal University as a Case Study

How social media usage affects psychological and subjective well-being: testing a moderated mediation model

Adhere to the Chinese dietary guidelines associated with better subjective well-being: evidence from a cross-sectional survey and a daily diary investigation

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