scholarly journals Developmental Trend of Subjective Well-Being of Weibo Users During COVID-19: Online Text Analysis Based on Machine Learning Method

2022 ◽  
Vol 12 ◽  
Author(s):  
Yingying Han ◽  
Wenhao Pan ◽  
Jinjin Li ◽  
Ting Zhang ◽  
Qiang Zhang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Well Being ◽  
Development Rate ◽  
Classification Model ◽  
Dynamic State ◽  
Developmental Trend ◽  
Subjective Well Being ◽  
Latent Growth ◽  
The Public

Currently, the coronavirus disease 2019 (COVID-19) pandemic experienced by the international community has increased the usage frequency of borderless, highly personalized social media platforms of all age groups. Analyzing and modeling texts sent through social media online can reveal the characteristics of the psychological dynamic state and living conditions of social media users during the pandemic more extensively and comprehensively. This study selects the Sina Weibo platform, which is highly popular in China and analyzes the subjective well-being (SWB) of Weibo users during the COVID-19 pandemic in combination with the machine learning classification algorithm. The study first invokes the SWB classification model to classify the SWB level of original texts released by 1,322 Weibo active users during the COVID-19 pandemic and then combines the latent growth curve model (LGCM) and the latent growth mixture model (LGMM) to investigate the developmental trend and heterogeneity characteristics of the SWB of Weibo users after the COVID-19 outbreak. The results present a downward trend and then an upward trend of the SWB of Weibo users during the pandemic as a whole. There was a significant correlation between the initial state and the development rate of the SWB after the COVID-19 outbreak (r = 0.36, p < 0.001). LGMM results show that there were two heterogeneous classes of the SWB after the COVID-19 outbreak, and the development rate of the SWB of the two classes was significantly different. The larger class (normal growth group; n = 1,229, 93.7%) showed a slow growth, while the smaller class (high growth group; n = 93, 6.3%) showed a rapid growth. Furthermore, the slope means across the two classes were significantly different (p < 0.001). Therefore, the individuals with a higher growth rate of SWB exhibited stronger adaptability to the changes in their living environments. These results could help to formulate effective interventions on the mental health level of the public after the public health emergency outbreak.

scholarly journals Intelligent Detection of False Information in Arabic Tweets Utilizing Hybrid Harris Hawks Based Feature Selection and Machine Learning Models

Symmetry ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 556
Author(s):  
Thaer Thaher ◽  
Mahmoud Saheb ◽  
Hamza Turabieh ◽  
Hamouda Chantar
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Feature Selection ◽  
Language Processing ◽  
User Profile ◽  
Vital Role ◽  
Classification Model ◽  
Fake News ◽  
False Information ◽  
Social Media Platforms

Fake or false information on social media platforms is a significant challenge that leads to deliberately misleading users due to the inclusion of rumors, propaganda, or deceptive information about a person, organization, or service. Twitter is one of the most widely used social media platforms, especially in the Arab region, where the number of users is steadily increasing, accompanied by an increase in the rate of fake news. This drew the attention of researchers to provide a safe online environment free of misleading information. This paper aims to propose a smart classification model for the early detection of fake news in Arabic tweets utilizing Natural Language Processing (NLP) techniques, Machine Learning (ML) models, and Harris Hawks Optimizer (HHO) as a wrapper-based feature selection approach. Arabic Twitter corpus composed of 1862 previously annotated tweets was utilized by this research to assess the efficiency of the proposed model. The Bag of Words (BoW) model is utilized using different term-weighting schemes for feature extraction. Eight well-known learning algorithms are investigated with varying combinations of features, including user-profile, content-based, and words-features. Reported results showed that the Logistic Regression (LR) with Term Frequency-Inverse Document Frequency (TF-IDF) model scores the best rank. Moreover, feature selection based on the binary HHO algorithm plays a vital role in reducing dimensionality, thereby enhancing the learning model’s performance for fake news detection. Interestingly, the proposed BHHO-LR model can yield a better enhancement of 5% compared with previous works on the same dataset.

Public Sector Employment, Quality of Government, and Well-Being: A Global Analysis

2021 ◽  
pp. 223386592110117
Author(s):  
Robert Davidson ◽  
Alexander Pacek ◽  
Benjamin Radcliff
Keyword(s):  
Public Sector ◽  
Global Analysis ◽  
Well Being ◽  
Subjective Well Being ◽  
Cross Sectional ◽  
Political Factors ◽  
The Public ◽  
Employment Quality ◽  
The Impact

While a growing literature within the study of subjective well-being demonstrates the impact of socio-political factors on subjective well-being, scholars have conspicuously failed to consider the role of the size and scope of government as determinants of well-being. Where such studies exist, the focus is largely on the advanced industrial democracies of the Organization for Economic Co-Operation and Development. In this study, we examine the size of the public sector as a determinant of cross-national variation in life satisfaction across a worldwide sample. Our findings strongly suggest that as the public sector grows, subjective well-being increases as well, conditional on the extent of quality of government. Using cross-sectional data on 84 countries, we show this relationship has an independent and separable impact from other economic and political factors.

scholarly journals The subjective well-being of older adults in Shanghai: The role of residential environment and individual resources

Urban Studies ◽  
2016 ◽  
Vol 54 (7) ◽  
pp. 1692-1714 ◽  
Author(s):  
Yafei Liu ◽  
Martin Dijst ◽  
Stan Geertman
Keyword(s):  
Older Adults ◽  
Economic Status ◽  
Residential Building ◽  
Well Being ◽  
Residential Environment ◽  
Ageing Population ◽  
Subjective Well Being ◽  
The Public ◽  
Environmental Correlates ◽  
Social Challenge

As a rapidly ageing population becomes an increasingly serious social challenge for Chinese megacities, issues affecting older adults’ subjective well-being (SWB) attract greater concern. However, it is difficult to gain a comprehensive understanding of older adults’ SWB, since most SWB theories focus only on specific factors. Moreover, residential environmental factors are hardly considered in studies of older adults’ SWB. In this paper we therefore investigate the effects of residential environment and individual resources on the SWB of older adults in Shanghai, using the integrative theoretical framework proposed by Lindenberg. We investigate the relationships between resources (residential environment and individual resources), needs satisfaction and SWB using multiple regression analysis. Our results show that the residential environment exerts a stronger impact on SWB than individual resources. Good quality residential building, good accessibility to medical and financial facilities, higher economic status of a neighbourhood, and a lower proportion of older adults in a neighbourhood are important environmental correlates of SWB. Health appears to be the most significant individual resource; other important individual resources include household income, a high-skilled occupation, a job in the public sector and living with grandchildren. Comfort is the most important basic need for older adults.

scholarly journals Social Media and the Quality of Subjective Well-Being; Counseling Perspective in Digital Era

2018 ◽  
Author(s):  
Zadrian Ardi ◽  
Indah Sukmawati
Keyword(s):  
Social Media ◽  
Well Being ◽  
Subjective Well Being ◽  
Social Community ◽  
Digital Era ◽  
Internet Users ◽  
The Social ◽  
The World ◽  
The Impact

Various studies in the information technology revealed that there has been a change in the trend of internet use in recent years. Internet users in the world prefer to spend time accessing the internet through the social media. Social media with a variety of platforms provides special communities with their own uniqueness and allows users to share lots of content. The members involves creates a new social community with various phenomena, both positive and negative. Counselors in the millennium era are required to have the insight andknowledge that is qualified to deal with the well being conditions of individuals from activities in social media. Counselors are also required to have specific skills in providing handling with the condition of well being individuals related to the impact of activities on social media.

scholarly journals Gratitude and Social Media: A Pilot Experiment on the Benefits of Exposure to Others’ Grateful Interactions on Facebook

2021 ◽  
Vol 12 ◽  
Author(s):  
Simona Sciara ◽  
Daniela Villani ◽  
Anna Flavia Di Natale ◽  
Camillo Regalia
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Social Networking Sites ◽  
Ad Hoc ◽  
Satisfaction With Life ◽  
Specific Property ◽  
Well Being ◽  
Future Research ◽  
Subjective Well Being ◽  
Pilot Experiment

Facebook and other social networking sites allow observation of others’ interactions that in normal, offline life would simply be undetectable (e.g., a two-voice conversation viewable on the Facebook wall, from the perspective of a real, silent witness). Drawing on this specific property, the theory of social learning, and the most direct implications of emotional contagion, our pilot experiment (N = 49) aimed to test whether the exposure to others’ grateful interactions on Facebook enhances (a) users’ felt gratitude, (b) expressed gratitude, and (c) their subjective well-being. For the threefold purpose, we created ad hoc Facebook groups in which the exposure to some accomplices’ exchange of grateful messages for 2 weeks was experimentally manipulated and users’ felt/expressed gratitude and well-being were consequently assessed. Results partially supported both hypotheses. Observing others’ exchange of grateful posts/comments on Facebook appeared to enhance participants’ in-person expression of gratitude (i.e., self-reported gratitude expression within face-to-face interactions), but not their direct and subjective experiences of gratitude. Similarly, exposure to others’ grateful messages improved some components of subjective well-being, such as satisfaction with life, but not negative and positive affect. Taken together, however, our preliminary findings suggest for the first time that social networking sites may actually amplify the spreading of gratitude and its benefits. Implications of our results for professionals and future research in the field of health, education, and social media communication are discussed.

Online Opinion Leaders in the Health Promotion Digital Era

2021 ◽  
Vol 37 (4) ◽  
pp. 295-309
Author(s):  
Joyce Cheah Lynn-Sze ◽  
◽  
Azlina Kamaruddin ◽  
Keyword(s):  
Public Health ◽  
Decision Making ◽  
Social Media ◽  
Health Promotion ◽  
Health Communication ◽  
Opinion Leader ◽  
Well Being ◽  
Opinion Leaders ◽  
Structured Interviews ◽  
The Public

Health opinion leaders have widely embraced social media for health promotion and public health communication which can make a strong influence on the public decision making. However, despite the growing relevance of public health threats such as infectious diseases, pandemic influenza and natural disasters, research has paid little attention to the qualities of opinion leaders. Moreover, there is limited evidence that public health organisations use social media appropriately to engage in meaningful conversations with audiences. Thus, the aims of the study are to describe principles of communication practised by online opinion leaders to promote health issues, to discuss the strategies of social media used, to explain the opinion leaders’ influence attributes in health decision making and finally to develop a model of online opinion leader in the contemporary health promotion era. Content analysis was conducted on Facebook postings of five selected health opinion leaders. In addition, semi-structured interviews with 10 followers were conducted. The findings of the study revealed that there are three principles of communication practised by online opinion leaders, which are language, interaction and themes. There are three strategies opinion leaders use to influence the public: social connectivity, social support and social consultation. Furthermore, there are five opinion leaders’ attributes that influence the public’s decision making, namely personality, authenticity, trust/credibility, professional knowledge and social position. The model would be beneficial in educating and guiding the current public health opinion leaders in order to establish health and social well-being. Keywords: Online opinion leader, online health communication, public health, two-step flow theory, decision making.

scholarly journals RE-examining the Effect of Online Social Support on Subjective Well-Being: The Moderating Role of Experience

2020 ◽  
Vol 12 (5) ◽  
pp. 88
Author(s):  
Meng-Hsiang Hsu ◽  
Chun-Ming Chang ◽  
Shing-Ling Wu
Keyword(s):  
Social Support ◽  
Social Capital ◽  
Social Media ◽  
Well Being ◽  
Equation Modeling ◽  
Online Support ◽  
Subjective Well Being ◽  
Levels Of Use ◽  
Moderating Role

Building upon the perspectives of social capital theory, social support, and experience, this study developed a theoretical model to investigate the determinants of subjective well-being on social media. This study also examined the moderating role of experience on the relationship between subjective well-being and social support. Data collected from 267 social media users in Taiwan were used to test the proposed model. Structural equation modeling analysis was used to test the measurement model and the structural model. The findings reveal that receiving online support and providing online support are the key predictors of subjective well-being. Furthermore, social capital positively influences the reception and provision of online support. Finally, providing online support has a significant effect on the subjective well-being of users with low levels of use experience, while receiving online support exerts a stronger influence on the subjective well-being of users with high levels of use experience.

Sign in / Sign up

Export Citation Format

Share Document