Social Science Computer Review最新文献_第7页

Social Live-Streaming Use and Well-Being: Examining Participation, Financial Commitment, Social Capital, and Psychological Well-Being on Twitch.tv 社交直播的使用与幸福感：考察 Twitch.tv 上的参与度、经济承诺、社会资本和心理幸福感

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-01-02 DOI: 10.1177/08944393231224543

Grace H. Wolff, Cuihua Shen

{"title":"Social Live-Streaming Use and Well-Being: Examining Participation, Financial Commitment, Social Capital, and Psychological Well-Being on Twitch.tv","authors":"Grace H. Wolff, Cuihua Shen","doi":"10.1177/08944393231224543","DOIUrl":"https://doi.org/10.1177/08944393231224543","url":null,"abstract":"This study examines how active participation, financial commitment, and passive participation in the leading social live-streaming service, Twitch.tv, relate to individuals’ psychological well-being. The three dimensions of social capital—structural, relational, and cognitive—as well as parasocial relationship are explored as mediators. Cross-sectional survey data from 396 respondents was analyzed by comparing two fully saturated structural equation models. Findings indicate actively participating in a favorite streamers’ Chat is positively associated with increased well-being. Structural social capital, or having more social interaction ties, positively mediates the relationship between active participation and well-being, as well as financial commitment and well-being. Greater cognitive social capital, or shared values and goals with a favorite streamer, is related to decreased well-being. Parasocial relationship does not significantly mediate the relationship between use and well-being. Our results demonstrate the importance of tangible social ties over the perceived relationships or identification with a favorite streamer.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139453405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preference for Smartphone-Based Internet Applications and Smartphone Addiction Among Young Adult Addicts: Gender Difference in Psychological Network 青少年瘾君子对基于智能手机的互联网应用的偏好与智能手机成瘾：心理网络中的性别差异

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-12-19 DOI: 10.1177/08944393231222680

Xin‑Yi Wei, Han-Yu Liang, Ting Gao, Ling-Feng Gao, Guo-Hua Zhang, Xiao-Yuan Chu, Hong-Xia Wang, Jing-Yu Geng, Ke Liu, Jia Nie, Pan Zeng, Lei Ren, Chang Liu, Huai‑Bin Jiang, Li Lei

{"title":"Preference for Smartphone-Based Internet Applications and Smartphone Addiction Among Young Adult Addicts: Gender Difference in Psychological Network","authors":"Xin‑Yi Wei, Han-Yu Liang, Ting Gao, Ling-Feng Gao, Guo-Hua Zhang, Xiao-Yuan Chu, Hong-Xia Wang, Jing-Yu Geng, Ke Liu, Jia Nie, Pan Zeng, Lei Ren, Chang Liu, Huai‑Bin Jiang, Li Lei","doi":"10.1177/08944393231222680","DOIUrl":"https://doi.org/10.1177/08944393231222680","url":null,"abstract":"Young adults are a high-risk population for developing smartphone addiction (SA), which bring about social issues. One theoretically and empirically supported proximal risk factor of SA is preference for smartphone-based internet applications (PSIA). However, most previous studies ignore gender difference and symptomatic heterogeneity of SA. Besides, many previous data analyses contain non-addicts, and the results derived might not be applicable to smartphone addicts. To bridging the gap, we used a symptom-level network analysis to assess gender differences in the links between preferences for 8 smartphone-based internet applications and 4 SA symptoms among young adults with high-level phone addiction (619 women and 415 men). The results showed that: (1) The relationship between the preference for video and the “loss of control” symptom was more pronounced in female addicts compared to their male counterparts. (2) Shopping app had stronger bridge centrality in women’s smartphone applications-SA network, which was positively linked with more SA symptoms. (3) Our research identified marginal gender differences in smartphone addicts' psychological networks, with female addicts showing stronger links between social media/eBook preferences and withdrawal symptoms, and male addicts displaying a stronger connection between gaming/eBook and other smartphone activities. The study provides a visualized network association and network metrics for understanding the relationship between PSIA and SA. We propose adopting a selective processing hypothesis and an evolutionary psychology perspective to aid in understanding these gender differences.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138960569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fixing Fieldnotes: Developing and Testing a Digital Tool for the Collection, Processing, and Analysis of Ethnographic Data 修复田野笔记：开发和测试用于收集、处理和分析人种学数据的数字工具

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-12-18 DOI: 10.1177/08944393231220488

Sofie L Astrupgaard, August Lohse, E. M. Gregersen, Jonathan H. Salka, Kristoffer Albris, Morten A. Pedersen

{"title":"Fixing Fieldnotes: Developing and Testing a Digital Tool for the Collection, Processing, and Analysis of Ethnographic Data","authors":"Sofie L Astrupgaard, August Lohse, E. M. Gregersen, Jonathan H. Salka, Kristoffer Albris, Morten A. Pedersen","doi":"10.1177/08944393231220488","DOIUrl":"https://doi.org/10.1177/08944393231220488","url":null,"abstract":"Ethnographic fieldnotes can contain richer and more thorough descriptions of social phenomena compared to other data sources. Their open-ended and flexible character makes them especially useful in explorative research. However, fieldnotes are typically highly unstructured and personalized by individual researchers, which make them harder to use as a method for data collection in collaborative and mixed methods research. More precisely, the unstructured nature of ethnographic fieldnotes presents three distinct challenges: 1) Organizability—it can be difficult to search and sort fieldnotes and thus to get an overview of them, 2) Integrability—it is difficult to meaningfully integrate fieldnotes with other more quantitative data types such as more such as surveys or geospatial data, and 3) Computational Processability—it is hard to process and analyze fieldnotes with computational methods such as topic models and network analysis. To solve these three challenges, we present a new digital tool, for the systematic collection, processing, and analysis of ethnographic fieldnotes. The tool is developed and tested as part of an interdisciplinary mixed methods pilot study on attention dynamics at a political festival in Denmark. Through case examples from this study, we show how adopting this new digital tool allowed our team to overcome the three aforementioned challenges of fieldnotes, while retaining the flexible and explorative character of ethnographic research, which is a key strength of ethnographic fieldwork.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138963565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Explicating Trust-building Factors Impacting the Use of e-government Services 阐释影响电子政务服务使用的信任建设因素

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-12-18 DOI: 10.1177/08944393231220757

Suha AlAwadhi, Husain Alansari, Ahmad R. Alsaber

{"title":"Explicating Trust-building Factors Impacting the Use of e-government Services","authors":"Suha AlAwadhi, Husain Alansari, Ahmad R. Alsaber","doi":"10.1177/08944393231220757","DOIUrl":"https://doi.org/10.1177/08944393231220757","url":null,"abstract":"This study investigates the users’ perception of trust-building factors influencing the use of e-government services and information, by integrating constructs identified in the technology acceptance model (TAM) with information systems (IS) success and trust models. Data was collected using a questionnaire targeted towards users of e-government services in Kuwait. The partial least squares structural equation modeling method was used to analyze 717 valid questionnaire responses. The results indicate that information quality and design (IQD) and perceived ease of use (PEU) influence individuals’ trust in e-government (TEG), thereby affecting their behavioral intentions (BI). Furthermore, the results indicate an average level of the users’ satisfaction and significant differences in how gender and nationality are associated with the overall satisfaction of e-government services users. The proposed framework contributes to extending models by integrating IQD (a modified construct of the IS model) and PEU (a construct of the TAM) as trust-related factors that provide better insights into the driving forces of BI and should be considered when designing and developing e-government services. Additionally, the study provides a deeper understanding of the challenges that could hinder the use of e-government systems.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138995380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sex Sells Terrorism: How Sexual Appeals in Fringe Online Communities Contribute to Self-Radicalization 性出卖恐怖主义：边缘网络社区中的性诉求如何助长自我激进化

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-12-07 DOI: 10.1177/08944393231220490

Brian C. Britt

引用次数: 0

Social Grooming on Social Media and Older Adults’ Life Satisfaction: Testing a Moderated Mediation Model 社交媒体上的社交疏导与老年人的生活满意度：测试调节中介模型

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-12-06 DOI: 10.1177/08944393231220487

Piper Liping Liu, T. E. D. Yeo

{"title":"Social Grooming on Social Media and Older Adults’ Life Satisfaction: Testing a Moderated Mediation Model","authors":"Piper Liping Liu, T. E. D. Yeo","doi":"10.1177/08944393231220487","DOIUrl":"https://doi.org/10.1177/08944393231220487","url":null,"abstract":"Despite the growing prevalence of social media usage among older adults, the impact for their well-being remains unclear. This study investigates the impact of social grooming on social media (SGSM) on the life satisfaction of a representative sample ( N = 591) of older adults (aged 55 and above) in Taiwan. Using an indirect effects paradigm, the study examines the mediation mechanisms of bridging social capital and perceived social support in the relationship between SGSM and life satisfaction. Additionally, the moderating effect of social network size (SNS) is assessed. The results indicate that bridging social capital and social support fully and sequentially mediate the influence of SGSM on older adults’ life satisfaction. Furthermore, SNS is identified as a significant moderator in this sequential mediating effect. These findings contribute to the existing literature on social media use and highlight the importance of understanding the impact of SGSM on life satisfaction and other psychological outcomes for older adults. The results also emphasize the need to consider the unique characteristics and specific needs of older adults, and to promote and assist them in effectively using social media to expand their social networks and acquire social support, which are crucial for their life satisfaction.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138597710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Two-Step Method for Classifying Political Partisanship Using Deep Learning Models 利用深度学习模型划分政治党派的两步法

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-12-06 DOI: 10.1177/08944393231219685

Lingshu Hu

{"title":"A Two-Step Method for Classifying Political Partisanship Using Deep Learning Models","authors":"Lingshu Hu","doi":"10.1177/08944393231219685","DOIUrl":"https://doi.org/10.1177/08944393231219685","url":null,"abstract":"Political partisanship constitutes a pivotal group identity that significantly influences individuals’ voting behaviors and shapes their ideological and cultural perspectives. While traditional surveys and experimental studies can directly capture political identity by asking the participants, this task has become intricate when employing digital trace data sourced from social media. Previous classification methods, attempting to infer political identity from users’ networks or textual content, suffered from limited efficiency or generalizability. In response, this study introduces a two-step method that utilizes deep learning models to enhance classification efficiency, generalizability, and interpretability. In the first step, two deep learning models, trained on 2.5 million tweets from 825 Congressional politicians in the U.S., achieved accuracy rates of 87.71% and 89.54%, respectively, in detecting politicians’ partisanships based on their individual tweets. Subsequently, in the second step, by employing a simple machine learning model that leverages the aggregated predicted values derived from the first-step models, accuracy rates of 94.92% and 96.61% were attained for identifying non-politician users’ political identities based off their 50 and 200 tweets, respectively. In addition, an attention mechanism was integrated into the deep learning model to assess the contribution of each word in the classification process.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2023-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138596600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Potential Pitfalls With Automatic Sentiment Analysis: The Example of Queerphobic Bias. 自动情绪分析的潜在陷阱:同性恋恐惧症偏见的例子

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2023-12-01 Epub Date: 2023-02-02 DOI: 10.1177/08944393231152946

Eddie L Ungless, Björn Ross, Vaishak Belle

引用次数: 2

Bridging Qualitative Data Silos: The Potential of Reusing Codings Through Machine Learning Based Cross-Study Code Linking 桥接定性数据孤岛:通过基于机器学习的交叉研究代码链接重用编码的潜力

2区社会学

Social Science Computer Review Pub Date : 2023-11-13 DOI: 10.1177/08944393231215459

Sergej Wildemann, Claudia Niederée, Erick Elejalde

{"title":"Bridging Qualitative Data Silos: The Potential of Reusing Codings Through Machine Learning Based Cross-Study Code Linking","authors":"Sergej Wildemann, Claudia Niederée, Erick Elejalde","doi":"10.1177/08944393231215459","DOIUrl":"https://doi.org/10.1177/08944393231215459","url":null,"abstract":"For qualitative data analysis (QDA), researchers assign codes to text segments to arrange the information into topics or concepts. These annotations facilitate information retrieval and the identification of emerging patterns in unstructured data. However, this metadata is typically not published or reused after the research. Subsequent studies with similar research questions require a new definition of codes and do not benefit from other analysts’ experience. Machine learning (ML) based classification seeded with such data remains a challenging task due to the ambiguity of code definitions and the inherent subjectivity of the exercise. Previous attempts to support QDA using ML rely on linear models and only examined individual datasets that were either smaller or coded specifically for this purpose. However, we show that modern approaches effectively capture at least part of the codes’ semantics and may generalize to multiple studies. We analyze the performance of multiple classifiers across three large real-world datasets. Furthermore, we propose an ML-based approach to identify semantic relations of codes in different studies to show thematic faceting, enhance retrieval of related content, or bootstrap the coding process. These are encouraging results that suggest how analysts might benefit from prior interpretation efforts, potentially yielding new insights into qualitative data.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136346256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring Customer Citizenship Behavior in Social Commerce From the Parasocial Perspective 从准社会视角探讨社交商务中的顾客公民行为

2区社会学

Social Science Computer Review Pub Date : 2023-11-10 DOI: 10.1177/08944393231214026

Jinqi Men, Xiabing Zheng, Feifei Shan, Xiao Shi, Feng Yang

引用次数: 0