Social Science Computer Review最新文献

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The Seed of Doubt: Examining the Role of Alternative Social and News Media for the Birth of a Conspiracy Theory 怀疑的种子审视另类社交媒体和新闻媒体对阴谋论诞生的作用
IF 4.1 2区 社会学
Social Science Computer Review Pub Date : 2024-04-15 DOI: 10.1177/08944393241246281
Tim Schatto-Eckrodt, Lena Clever, Lena Frischlich
{"title":"The Seed of Doubt: Examining the Role of Alternative Social and News Media for the Birth of a Conspiracy Theory","authors":"Tim Schatto-Eckrodt, Lena Clever, Lena Frischlich","doi":"10.1177/08944393241246281","DOIUrl":"https://doi.org/10.1177/08944393241246281","url":null,"abstract":"Consuming conspiracy theories erodes trust in democratic institutions, while conspiracy beliefs demotivate democratic participation, posing a potential threat to democracy. The proliferation of social media, especially the emergence of numerous alternative platforms with minimal moderation, has greatly facilitated the dissemination and consumption of conspiracy theories. Nevertheless, there remains a dearth of knowledge concerning the origin and evolution of specific conspiracy theories across different platforms. This study aims to address this gap through a large-scale, cross-platform examination of the genesis of new conspiracy theories surrounding the death of Jeffrey Epstein. Through a (semi-) automated content analysis conducted on a distinctive dataset comprising N = 8,020,314 Epstein-related posts posted on both established platforms ( Twitter, Reddit) and alternative platforms ( Gab and 4Chan), we demonstrate that conspiracy theories emerge early and influence public discourse well in advance of reports from established media sources. Our data shows that users of the studied platforms immediately turn to conspirational explanations, exhibiting skepticism towards the official representation of events. Especially on alternative platforms, this skepticism swiftly transformed into unwarranted conspiracy theorizing, partly bolstered by references to alternative news media sources. The present study shows how conspirational explanations thrive in low information environments and how alternative media plays a role in turning rational skepticism into unwarranted conspiracy theories.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140553190","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
Are Large-Scale Data From Private Companies Reliable? An Analysis of Machine-Generated Business Location Data in a Popular Dataset 私营公司的大规模数据可靠吗?对流行数据集中机器生成的商业位置数据的分析
IF 4.1 2区 社会学
Social Science Computer Review Pub Date : 2024-04-15 DOI: 10.1177/08944393241245390
Nikolitsa Grigoropoulou, Mario L. Small
{"title":"Are Large-Scale Data From Private Companies Reliable? An Analysis of Machine-Generated Business Location Data in a Popular Dataset","authors":"Nikolitsa Grigoropoulou, Mario L. Small","doi":"10.1177/08944393241245390","DOIUrl":"https://doi.org/10.1177/08944393241245390","url":null,"abstract":"Large-scale data from private companies offer new opportunities to examine topics of scientific and social significance, such as racial inequality, partisan polarization, and activity-based segregation. However, because such data are often generated through automated processes, their accuracy and reliability for social science research remain unclear. The present study examines how quality issues in large-scale data from private companies can afflict the reporting of even ostensibly uncomplicated values. We assess the reliability with which an often-used device tracking data source, SafeGraph, sorted data it acquired on financial institutions into categories, such as banks and payday lenders, based on a standard classification system. We find major classification problems that vary by type of institution, and remarkably high rates of unidentified closures and duplicate records. We suggest that classification problems can affect research based on large-scale private data in four ways: detection, efficiency, validity, and bias. We discuss the implications of our findings, and list a set of problems researchers should consider when using large-scale data from companies.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140557300","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
Uncovering the Missing Pieces: Predictors of Nonresponse in a Mobile Experience Sampling Study on Media Effects Among Youth 发现缺失的部分:青少年媒体效应移动体验抽样研究中的无响应预测因素
IF 4.1 2区 社会学
Social Science Computer Review Pub Date : 2024-02-23 DOI: 10.1177/08944393241235182
Anne Reinhardt, Sophie Mayen, Claudia Wilhelm
{"title":"Uncovering the Missing Pieces: Predictors of Nonresponse in a Mobile Experience Sampling Study on Media Effects Among Youth","authors":"Anne Reinhardt, Sophie Mayen, Claudia Wilhelm","doi":"10.1177/08944393241235182","DOIUrl":"https://doi.org/10.1177/08944393241235182","url":null,"abstract":"Mobile Experience Sampling (MES) is a promising tool for understanding youth digital media use and its effects. Unfortunately, the method suffers from high levels of missing data. Depending on whether the data is randomly or non-randomly missing, it can have severe effects on the validity of findings. For this reason, we investigated predictors of non-response in an MES study on displacement effects of digital media use on adolescents’ well-being and academic performance ( N = 347). Multilevel binary logistic regression identified significant influencing factors of response odds, such as afternoon beeps and being outside. Importantly, adolescents with poorer school grades were more likely to miss beeps. Because this missingness was related to the outcome variable, modern missing data methods such as multiple imputation should be applied before analyzing the data. Understanding the reasons for non-response can be seen as the first step to preventing, minimizing, and handling missing data in MES studies, ultimately ensuring that the collected data is fully utilized to draw accurate conclusions.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139939049","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
Analysis of Web Browsing Data: A Guide 网络浏览数据分析:指南
IF 4.1 2区 社会学
Social Science Computer Review Pub Date : 2024-02-08 DOI: 10.1177/08944393241227868
Bernhard Clemm von Hohenberg, Sebastian Stier, Ana S. Cardenal, Andrew M. Guess, Ericka Menchen-Trevino, Magdalena Wojcieszak
{"title":"Analysis of Web Browsing Data: A Guide","authors":"Bernhard Clemm von Hohenberg, Sebastian Stier, Ana S. Cardenal, Andrew M. Guess, Ericka Menchen-Trevino, Magdalena Wojcieszak","doi":"10.1177/08944393241227868","DOIUrl":"https://doi.org/10.1177/08944393241227868","url":null,"abstract":"The use of individual-level browsing data, that is, the records of a person’s visits to online content through a desktop or mobile browser, is of increasing importance for social scientists. Browsing data have characteristics that raise many questions for statistical analysis, yet to date, little hands-on guidance on how to handle them exists. Reviewing extant research, and exploring data sets collected by our four research teams spanning seven countries and several years, with over 14,000 participants and 360 million web visits, we derive recommendations along four steps: preprocessing the raw data; filtering out observations; classifying web visits; and modelling browsing behavior. The recommendations we formulate aim to foster best practices in the field, which so far has paid little attention to justifying the many decisions researchers need to take when analyzing web browsing data.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139851476","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
Tell Me an Instagram Story: Ephemeral Communication and the 2018 Gubernatorial Elections 告诉我一个 Instagram 故事:短暂传播与 2018 年州长选举
IF 4.1 2区 社会学
Social Science Computer Review Pub Date : 2024-02-05 DOI: 10.1177/08944393241227554
Terri L. Towner, Caroline L. Muñoz
{"title":"Tell Me an Instagram Story: Ephemeral Communication and the 2018 Gubernatorial Elections","authors":"Terri L. Towner, Caroline L. Muñoz","doi":"10.1177/08944393241227554","DOIUrl":"https://doi.org/10.1177/08944393241227554","url":null,"abstract":"Political campaigns are embracing the visual social media platform Instagram. One digital feature, the Story, has taken over feed sharing across social media. A Story is a sequence of images or videos uploaded to a profile that disappear after 24 hours. The Story is a novel feature relatively unexamined in political communications and marketing research. Specifically, it is unclear how Gubernatorial candidates employ the Instagram Story feature in campaigning. To address this gap, we content analyze 730 Instagram Stories drawn from 20 Gubernatorial candidate accounts one week before and after Election Day 2018. Results reveal that over half of the candidates employed the Story feature over the two-week period. The Story content primarily included indoor rallies and speeches rather than outdoor canvassing. Campaigns featured more static images than video in Stories and rarely used interactive features, such as animation, location tags, and emojis. Stories were also geared toward mobilization messages rather than voter support, behind-the-scenes looks, and attack ads. Last, some gender and political party differences were evident, as women and Democratic candidates utilized Instagram more.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139804692","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
Tell Me an Instagram Story: Ephemeral Communication and the 2018 Gubernatorial Elections 告诉我一个 Instagram 故事:短暂传播与 2018 年州长选举
IF 4.1 2区 社会学
Social Science Computer Review Pub Date : 2024-02-05 DOI: 10.1177/08944393241227554
Terri L. Towner, Caroline L. Muñoz
{"title":"Tell Me an Instagram Story: Ephemeral Communication and the 2018 Gubernatorial Elections","authors":"Terri L. Towner, Caroline L. Muñoz","doi":"10.1177/08944393241227554","DOIUrl":"https://doi.org/10.1177/08944393241227554","url":null,"abstract":"Political campaigns are embracing the visual social media platform Instagram. One digital feature, the Story, has taken over feed sharing across social media. A Story is a sequence of images or videos uploaded to a profile that disappear after 24 hours. The Story is a novel feature relatively unexamined in political communications and marketing research. Specifically, it is unclear how Gubernatorial candidates employ the Instagram Story feature in campaigning. To address this gap, we content analyze 730 Instagram Stories drawn from 20 Gubernatorial candidate accounts one week before and after Election Day 2018. Results reveal that over half of the candidates employed the Story feature over the two-week period. The Story content primarily included indoor rallies and speeches rather than outdoor canvassing. Campaigns featured more static images than video in Stories and rarely used interactive features, such as animation, location tags, and emojis. Stories were also geared toward mobilization messages rather than voter support, behind-the-scenes looks, and attack ads. Last, some gender and political party differences were evident, as women and Democratic candidates utilized Instagram more.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139864261","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
How to Regulate Platforms Through a Non-Exploitative User-Generated-Content Levy 如何通过非剥削性的用户生成内容征税来监管平台
IF 4.1 2区 社会学
Social Science Computer Review Pub Date : 2024-01-17 DOI: 10.1177/08944393241227662
Weijie Huang, Xi Chen
{"title":"How to Regulate Platforms Through a Non-Exploitative User-Generated-Content Levy","authors":"Weijie Huang, Xi Chen","doi":"10.1177/08944393241227662","DOIUrl":"https://doi.org/10.1177/08944393241227662","url":null,"abstract":"The democratization of technology to re-create content and make that content publicly available has spurred a wave of user-generated content (UGC), which has produced remarkable social and economic benefits. However, under current copyright law, UGC creators face the dilemma of being deterred from creating UGC because of the risk of copyright infringement, copyright owners can rarely obtain remuneration from UGC, and UGC platforms profit from UGC without being held liable for copyright infringement. Recent proposals to extend fair use and compulsory licenses to UGC creators and impose direct liability on UGC platforms cannot solve the UGC dilemma due to the inadequate or unreasonable regulation of UGC platforms. This study aims to solve the UGC dilemma by proposing a non-exploitative UGC levy on UGC platforms. We demonstrate the necessity of the non-exploitative UGC levy by conducting a comparative study of existing proposals and illustrate the feasibility of the non-exploitative UGC levy through an institutional analysis of its framework and enforcement mechanisms. Justification of the proposed levy and responses to possible criticism are also provided. The levy scheme also provides inspiration for how copyright law can address burgeoning artificial intelligence-generated content (AIGC).","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139616470","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
Measuring Smartphone Use: Survey Versus Digital Behavioral Data 衡量智能手机使用情况:调查数据与数字行为数据
IF 4.1 2区 社会学
Social Science Computer Review Pub Date : 2024-01-11 DOI: 10.1177/08944393231224540
Alexander Wenz, Florian Keusch, Ruben L. Bach
{"title":"Measuring Smartphone Use: Survey Versus Digital Behavioral Data","authors":"Alexander Wenz, Florian Keusch, Ruben L. Bach","doi":"10.1177/08944393231224540","DOIUrl":"https://doi.org/10.1177/08944393231224540","url":null,"abstract":"While digital technology use and skills have typically been measured with surveys, digital behavioral data that are passively collected from individuals’ digital devices have recently emerged as an alternative method of measuring technology usage patterns in a more unobtrusive and detailed way. In this paper, we evaluate how passively collected smartphone usage data compare to self-reported measures of smartphone use, considering the three usage dimensions amount of use, variety of use, and activities of use. Based on a sample of smartphone users in Germany who completed a survey and had a tracking app installed on their smartphone, we find that the alignment between the survey and digital behavioral data varies by dimension of smartphone use. Whereas amount of use is considerably overreported in the survey data, variety of use aligns more closely across the two data sources. For activities of use, the alignment differs by type of activity. The results also show that the alignment between survey and digital behavioral data is systematically related to individuals’ sociodemographic characteristics, including age, gender, and educational attainment. Finally, latent class analyses conducted separately for the survey and digital behavioral data suggest similar typologies of smartphone use, although the overlap between the typologies on the individual level is rather small.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139437763","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
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