Social Science Computer Review最新文献_第2页

CORA: An Open-Source Software Tool for Combinational Regularity Analysis CORA：用于组合规律性分析的开源软件工具

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-08-29 DOI: 10.1177/08944393241275640

Lusine Mkrtchyan, Alrik Thiem, Zuzana Sebechlebská

引用次数: 0

Remember, You Can Complete This Survey Online! Web Survey Links and QR Codes in a Mixed-Mode Web and Mail General Population Survey 请记住，您可以在线完成本调查！混合模式网络和邮件普通人群调查中的网络调查链接和 QR 代码

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-08-24 DOI: 10.1177/08944393241277553

Kristen Olson, Amanda Ganshert

{"title":"Remember, You Can Complete This Survey Online! Web Survey Links and QR Codes in a Mixed-Mode Web and Mail General Population Survey","authors":"Kristen Olson, Amanda Ganshert","doi":"10.1177/08944393241277553","DOIUrl":"https://doi.org/10.1177/08944393241277553","url":null,"abstract":"Recruitment materials for concurrent mixed-mode self-administered web and mail surveys must communicate information about multiple modes simultaneously. Providing the link to the web survey on the cover of the paper questionnaire or including a QR code to access the web survey may increase the visibility of the web mode and thus increase the proportion of people who participate via the web, but whether including either piece of information does so has received surprisingly little empirical attention. In this paper, we examine the results of experiments embedded in two general population probability-based concurrent mixed-mode surveys of Nebraska adults. First, in the Labor Availability Survey of the Greater Omaha Area, respondents were randomly assigned to receive the web link and login information on the cover or the paper questionnaire without this information (all had web information in the cover letter). We then replicated and extended this experiment in the Labor Availability Survey of Northeast Nebraska. The questionnaire cover experiment was fully crossed with the presence or absence of a QR code to access the web survey. Neither of these design features affected response rates or speed of response, but the link on the questionnaire significantly increased the proportion of respondents who participated by web and the QR code significantly increased the proportion of respondents who participated by smartphone. Sample composition was largely unaffected on most characteristics, although the respondent pool was less similar to the population on education when the link was on the questionnaire. About 20% of respondents used a smartphone when typing in a survey link, but virtually all respondents used a smartphone when scanning the QR code. Survey researchers can include a link on the cover of the questionnaire to increase web participation rates in mixed-mode surveys. QR codes can be used when smartphone participation is desired.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142050629","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

Understanding Narratives of Uncertainty in Fertility Intentions of Dutch Women: A Neural Topic Modeling Approach 理解荷兰妇女生育意愿中的不确定性叙述：神经主题建模方法

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-08-24 DOI: 10.1177/08944393241269406

Xiao Xu, Anne Gauthier, Gert Stulp, Antal van den Bosch

{"title":"Understanding Narratives of Uncertainty in Fertility Intentions of Dutch Women: A Neural Topic Modeling Approach","authors":"Xiao Xu, Anne Gauthier, Gert Stulp, Antal van den Bosch","doi":"10.1177/08944393241269406","DOIUrl":"https://doi.org/10.1177/08944393241269406","url":null,"abstract":"Uncertainty in fertility intentions is a major obstacle to understanding contemporary trends in fertility decision-making and its outcomes. Quantifying this uncertainty by structural factors such as income, ethnicity, and housing conditions is recognized as insufficient. A recently proposed framework on subjective narratives has opened up a new way to gauge factors behind fertility decision-making and uncertainty. Through surveys, such narratives can be elicited with open-ended questions (OEQs). However, analyzing answers to OEQs typically involves extensive human coding, imposing constraints on sample size. Natural Language Processing (NLP) techniques assist researchers in grasping aspects of the underlying reasoning behind responses with much less human effort. In this study, using automatic neural topic modeling methods, we identify and interpret topics and themes underlying the narratives on fertility intention uncertainty of women in the Netherlands. We used Contextualized Topic Models (CTMs), a neural topic model using pre-trained representations of Dutch language, to conduct our analyses. Our results show that nine topics dominate the narratives about fertility planning, with age and health-related issues as the most prominent ones. In addition, we found that uncertainty in fertility intentions is not homogeneous, as women who feel uncertain due to real-life constraints and those who have no fertility plans at all put their stress on vastly different narratives.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142050627","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

Video Game Feedback Learning and Aggressive or Prosocial Effects 电子游戏反馈学习与攻击性或亲社会效应

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-08-23 DOI: 10.1177/08944393241277556

Boyu Qiu, Wei Zhang

引用次数: 0

Agents of Discord: Modeling the Impact of Political Bots on Opinion Polarization in Social Networks 不和谐代理：模拟政治机器人对社交网络舆论两极分化的影响

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-08-16 DOI: 10.1177/08944393241270382

Hsiu-Chi Lu, Hsuan-wei Lee

{"title":"Agents of Discord: Modeling the Impact of Political Bots on Opinion Polarization in Social Networks","authors":"Hsiu-Chi Lu, Hsuan-wei Lee","doi":"10.1177/08944393241270382","DOIUrl":"https://doi.org/10.1177/08944393241270382","url":null,"abstract":"The pervasive presence and influence of political bots have become the subject of extensive research in recent years. Studies have revealed that a significant percentage of active accounts are bots, contributing to the polarization of public sentiment online. This study employs an agent-based model in conducting computer simulations of complex social networks, to elucidate how bots, representing diverse ideological perspectives, exacerbate societal divisions. To investigate the dynamics of opinion diffusion and shed light on the phenomenon of polarization caused by the activities of political bots, we introduced bots into a bounded-confidence opinion dynamic model for different social networks, whereby the effects of bots on other agents were studied to provide a comprehensive understanding of their influence on opinion dynamics. The simulations showed that the symmetrical deployment of bots on both sides of the opinion spectrum intensifies polarization. These effects were observed within specific tolerance and homophily ranges, with low and high user tolerances slowing down polarization. Moreover, the average path length of the network and the centrality of the bots had a significant impact on the result. Finally, polarization tends to be lower when humans exhibit reduced confidence in bots. This research not only offers valuable insights into the implications of bot activities on the polarization of public opinion and current state of digital society but also provides suggestions to mitigate bot-driven polarization.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141994348","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

Using Twitter to Detect Polling Place Issue Reports on U.S. Election Days 使用 Twitter 检测美国大选日投票站问题报告

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-08-10 DOI: 10.1177/08944393241269420

Prathm Juneja, Luciano Floridi

引用次数: 0

Using OpenStreetMap, Census, and Survey Data to Predict Interethnic Group Relations in Belgium: A Machine Learning Approach 利用 OpenStreetMap、人口普查和调查数据预测比利时的族群间关系：机器学习方法

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-08-08 DOI: 10.1177/08944393241269098

Daria Dementeva, Cecil Meeusen, Bart Meuleman

{"title":"Using OpenStreetMap, Census, and Survey Data to Predict Interethnic Group Relations in Belgium: A Machine Learning Approach","authors":"Daria Dementeva, Cecil Meeusen, Bart Meuleman","doi":"10.1177/08944393241269098","DOIUrl":"https://doi.org/10.1177/08944393241269098","url":null,"abstract":"Neighborhoods are important contexts in shaping interethnic group relationships and sites in which these may materialize through everyday routines in shared local spaces. In this paper, we approach neighborhoods as a small-scale set of spaces of encounter, defined as local public or semi-public spaces, where residents of different ethnic backgrounds may meet. Relying on the classical contact and group threat theories, the main assumption is that local spaces of encounter are facets of an intergroup neighborhood context and may shape intergroup relations, defined as perceived ethnic threat and intergroup friendship. Drawing on the georeferenced survey data from the Belgian National Election Study 2020 enriched with spatial features from OpenStreetMap, an innovative big geospatial data source, and census-based neighborhood characteristics, the study employs machine learning algorithms to investigate whether, which, and how neighborhood spaces of encounter can predict perceived ethnic threat and intergroup friendship, while also taking into account traditional local ethnic, socioeconomic, and individual indicators. By using OpenStreetMap to measure spaces of encounter as a novel neighborhood indicator, we develop a fine-grained typology of local spaces that is rooted in urban and intergroup relations research. The results show that for predicting intergroup friendship, the important spaces were educational, functional, public open, and user-selecting spaces, while for predicting threat functional, third, retail, and other spaces stood out prediction-wise. The results also revealed the predictive importance of individual characteristics for intergroup relations, while neighborhood characteristics were not so important, both in absolute and relative terms. We conclude by reflecting on what local spaces might matter and discuss the combination of OpenStreetMap and intergroup relations as a proof of concept and prospects for future research.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141908960","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

Airbnb on TikTok: Brand Perception Through User Engagement and Sentiment Trends TikTok 上的 Airbnb：通过用户参与和情绪趋势感知品牌

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-08-08 DOI: 10.1177/08944393241260242

Julia Marti-Ochoa, Eva Martin-Fuentes, Berta Ferrer-Rosell

{"title":"Airbnb on TikTok: Brand Perception Through User Engagement and Sentiment Trends","authors":"Julia Marti-Ochoa, Eva Martin-Fuentes, Berta Ferrer-Rosell","doi":"10.1177/08944393241260242","DOIUrl":"https://doi.org/10.1177/08944393241260242","url":null,"abstract":"This study delves into Airbnb’s brand presence on TikTok by analyzing textual content in posts, and human audio in videos. This approach aims to decipher the brand narrative and gauge user engagement. In the dynamic realm of social media marketing, TikTok has emerged as a key platform in shaping brand perception. This research specifically concentrates on Airbnb’s content, distinguishing between official narratives and user-generated content (UGC). Notably, themes of “Travel” dominate official posts, contrasting with “Real Estate” and “Business” in UGC. The methodology employed involves advanced data collection techniques, including web scraping for textual data and artificial intelligence for transcribing human audio to text. The findings reveal that UGC commands greater engagement and volume compared to Airbnb’s own brand content, underscoring the increasing significance of user involvement in brand storytelling. An analysis of the study results is conducted using linguistic natural processing (LNP) for the sentiment base, and the vector space model for emotion analysis. Sentiment analysis reveals a predominance of the emotion “happiness” and a significant presence of “surprise” in the posts, both of which are critical for audience engagement. Moreover, the study indicates a high approval rate for Airbnb-related content, reflecting a positive reception of the brand. Additionally, the research observes that influencers, particularly nano influencers, have higher engagement rates, indicating that their authenticity and relatability appeal especially to Generation Z audiences. This study not only sheds light on the intricate relationship between brand narrative, user engagement, and sentiment on TikTok but also offers valuable insights into effective brand image construction and propagation in the digital era, highlighting the importance of diverse emotions in enhancing audience engagement.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141908959","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

Gender Gap in All Academic Fields Over Time 所有学术领域的性别差距随时间变化

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-08-08 DOI: 10.1177/08944393241270633

Dariusz Jemielniak, Maciej Wilamowski

引用次数: 0

Sexism and Media Communication. An Application to the Italian Case 性别歧视与媒体传播。意大利案例的应用

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-08-06 DOI: 10.1177/08944393241269415

Elia A. G. Arfini, Luigi Curini, Fabiana G. Giannuzzi

引用次数: 0