Social Science Computer Review最新文献

{"title":"Noteworthy Disparities With Four CAQDAS Tools: Explorations in Organising Live Twitter Data","authors":"Travis Noakes, Patricia Harpur, Corrie Uys","doi":"10.1177/08944393231204163","DOIUrl":"https://doi.org/10.1177/08944393231204163","url":null,"abstract":"Qualitative data analysis software (QDAS) packages that support live data extraction are a relatively recent innovation. Little has been written concerning the research implications of differences in such QDAS packages’ functionalities, and how such disparities might contribute to contrasting analytical opportunities. Consequently, early-stage researchers may experience difficulties in choosing an apt QDAS for Twitter analysis. In response to both methodological gaps, this paper presents a software comparison across the four QDAS tools that support live Twitter data imports, namely, ATLAS.ti™, NVivo™, MAXQDA™ and QDA Miner™. The authors’ QDAS features checklist for these tools spotlights many differences in their functionalities. These disparities were tested through data imports and thematic coding that was derived from the same queries and codebook. The authors’ resultant QDAS experiences were compared during the first activity of a broad qualitative analysis process, ‘organising data’. Notwithstanding large difference in QDAS pricing, it was surprising how much the tools varied for aspects of qualitative research organisation. Notably, the quantum of data extracted for the same query differed, largely due to contrasts in the types and amount of data that the four QDAS could extract. Variations in how each supported visual organisation also shaped researchers’ opportunities for becoming familiar with Twitter users and their tweet content. Such disparities suggest that choosing a suitable QDAS for organising live Twitter data must dovetail with a researcher’s focus: ATLAS.ti accommodates scholars focused on wrangling unstructured data for personal meaning-making, while MAXQDA suits the mixed-methods researcher. QDA Miner’s easy-to-learn user interface suits a highly efficient implementation of methods, whilst NVivo supports relatively rapid analysis of tweet content. Such findings may help guide Twitter social science researchers and others in QDAS tool selection. Future research can explore disparities in other qualitative research phases, or contrast data extraction routes for a variety of microblogging services.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134887158","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}

{"title":"The Influence of Political Fit, Issue Fit, and Targeted Political Advertising Disclosures on Persuasion Knowledge, Party Evaluation, and Chilling Effects","authors":"Melanie Hirsch, Alice Binder, Jörg Matthes","doi":"10.1177/08944393231193731","DOIUrl":"https://doi.org/10.1177/08944393231193731","url":null,"abstract":"The availability of online data has altered the role of social media. By offering targeted online advertising, that is, persuasive messages tailored to user groups, political parties profit from large data profiles to send fine-grained advertising appeals to susceptible voters. This between-subject experiment ( N = 421) investigates the influence of targeted political advertising disclosures (targeting vs. no-targeting disclosure), political fit (high vs. low), and issue fit (high vs. low) on recipients’ party evaluation and chilling effect intentions. The mediating role of targeting knowledge (TK) and perceived manipulative intent (PMI), two dimensions of persuasion knowledge, are investigated. The findings show that disclosing a targeting strategy and a high political fit activated individuals’ TK, that is, their recognition that their data had been used to show the ads, which then increased the evaluation of the political party and individuals’ intentions to engage in future chilling effect behaviors. High political fit decreased individuals’ reflections about the appropriateness of the targeted political ads (i.e., PMI), which then increased party evaluation. Issue fit did not affect individuals’ persuasion knowledge.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135878241","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}

{"title":"Cheap, Quick, and Rigorous: Artificial Intelligence and the Systematic Literature Review","authors":"Cameron F. Atkinson","doi":"10.1177/08944393231196281","DOIUrl":"https://doi.org/10.1177/08944393231196281","url":null,"abstract":"The systematic literature review (SLR) is the gold standard in providing research a firm evidence foundation to support decision-making. Researchers seeking to increase the rigour, transparency, and replicability of their SLRs are provided a range of guidelines towards these ends. Artificial Intelligence (AI) and Machine Learning Techniques (MLTs) developed with computer programming languages can provide methods to increase the speed, rigour, transparency, and repeatability of SLRs. Aimed towards researchers with coding experience, and who want to utilise AI and MLTs to synthesise and abstract data obtained through a SLR, this article sets out how computer languages can be used to facilitate unsupervised machine learning for synthesising and abstracting data sets extracted during a SLR. Utilising an already known qualitative method, Deductive Qualitative Analysis, this article illustrates the supportive role that AI and MLTs can play in the coding and categorisation of extracted SLR data, and in synthesising SLR data. Using a data set extracted during a SLR as a proof of concept, this article will include the coding used to create a well-established MLT, Topic Modelling using Latent Dirichlet allocation. This technique provides a working example of how researchers can use AI and MLTs to automate the data synthesis and abstraction stage of their SLR, and aide in increasing the speed, frugality, and rigour of research projects.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44736667","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}

{"title":"Novelty in News Search: A Longitudinal Study of the 2020 US Elections","authors":"Roberto Ulloa, Mykola Makhortykh, Aleksandra Urman, Juhi Kulshrestha","doi":"10.1177/08944393231195471","DOIUrl":"https://doi.org/10.1177/08944393231195471","url":null,"abstract":"The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly. This evolving scenario presented an opportunity to study the performance of search engines in a context in which they had to quickly process information as it was published. We analyze novelty, a measurement of new items that emerge in the top news search results, to compare the coverage and visibility of different topics. Using virtual agents that simulate human web browsing behavior to collect search engine result pages, we conduct a longitudinal study of news results of five search engines collected in short bursts (every 21 minutes) from two regions (Oregon, US and Frankfurt, Germany), starting on election day and lasting until one day after the announcement of Biden as the winner. We find more new items emerging for election related queries (“joe biden,” “donald trump,” and “us elections”) compared to topical (e.g., “coronavirus”) or stable (e.g., “holocaust”) queries. We demonstrate that our method captures sudden changes in highly covered news topics as well as multiple differences across search engines and regions over time. We highlight novelty imbalances between candidate queries which affect their visibility during electoral periods, and conclude that, when it comes to news, search engines are responsible for such imbalances, either due to their algorithms or the set of news sources that they rely on.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135263220","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}

{"title":"The Impact of Economic Degradation on the Uí Bhriain Civil War (1276–1318): An Agent-Based Modeling Approach","authors":"Vinicius Marino Carvalho","doi":"10.1177/08944393231194983","DOIUrl":"https://doi.org/10.1177/08944393231194983","url":null,"abstract":"Between 1276 and 1318, English magnates unsuccessfully attempted to establish a lordship in the Irish kingdom of Thomond, southwestern Ireland, by exploiting a dynastic feud dividing the then-ruling lineage, the Uí Bhriain. The conflict coincided with a series of extreme events that beset western Europe in the late 13th and early 14th centuries, such as the beginning of the Little Ice Age and the Great European Famine of 1315–1322. The goal of this work was to evaluate to the extent to which economic degradation at the turn of the 14th century affected the outcome of the war. The hypothesis that such degradation affected the war’s outcome was tested using agent-based modeling, which involved the virtual reconstruction of Late Medieval Thomond to study past conditions by proxy. This article describes the historical research carried out to elaborate the conceptual model, the implementation of the model as a computer simulation, and the experiments carried out to virtually explore the Uí Bhriain Civil War. A quantitative analysis of the experimental results revealed some correlation between late 13th century economic degradation and the fortunes of belligerent factions in the wars of 1276–1318, although the effect was not sufficiently strong to have been a crucial factor in the outcome of the conflict.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49499954","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}

{"title":"Cyberbullying and Traditional Bullying Victimization, Depressive Symptoms, and Suicidal Ideation Among Chinese Early Adolescents: Cognitive Reappraisal and Emotion Invalidation as Moderators","authors":"Jianhua Zhou, Haiyan Zhao, Yan Zou","doi":"10.1177/08944393231192237","DOIUrl":"https://doi.org/10.1177/08944393231192237","url":null,"abstract":"This study examined how depressive symptoms play mediating roles between cyberbullying and traditional bullying victimization and suicidal ideation and the moderating roles of cognitive reappraisal and emotion invalidation. A total of 1,823 Chinese adolescents (Mean age = 11.20, SD = 1.21, 47.8% girls) participated this study. Results showed that cyberbullying victimization was more strongly related to suicidal ideation than traditional bullying victimization. Depressive symptoms played mediating roles between cyberbullying and traditional bullying victimization and suicidal ideation. Cognitive reappraisal mitigated the effects of cyberbullying and traditional bullying victimization on depressive symptoms, and perceived emotion invalidation strengthened the effect of depressive symptoms on suicidal ideation. Results further showed that the mediating effect of depressive symptoms was more prominent when there were low levels of cognitive reappraisal and more perceived emotion invalidation. Promoting youths’ cognitive reappraisal and providing validating responses to their depressive symptoms could mitigate the destructive effects of bullying victimization on suicidal ideation.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42664723","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}

{"title":"Participatory Inequality Across Countries: Contacting Public Officials Online and Offline.","authors":"Shelley Boulianne","doi":"10.1177/08944393211071067","DOIUrl":"https://doi.org/10.1177/08944393211071067","url":null,"abstract":"<p><p>The Internet offers low-cost ways to participate in political life, which reduces the motivation required to participate and thus potentially reduces inequalities in participation. I examine online and offline contacting of elected officials using original survey data from Canada, France, the United Kingdom, and the United States collected in 2019 and 2021. Education is a consistent positive predictor of contacting in all countries as well as both modes of contact (online and offline). Income differences are small. Younger people are more likely to contact officials, online and offline, compared to older people. Females are less likely to contact officials, online and offline, compared to males. While political interest, efficacy, online information consumption, and online group ties are believed to lead to more equity in online communication, I do not see strong differences in these variables for online and offline contacting. I conclude by discussing the implications of exclusively online contacting of officials when this form of contact is devalued by elected officials, as well as the implications of participatory inequalities with respect to influencing public policy and access to government services.</p>","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"41 4","pages":"1336-1362"},"PeriodicalIF":4.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10285429/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10298540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Studyholism and Health Outcomes: Could Internet Addiction Make the Difference?","authors":"Danila Molinaro, Y. Loscalzo, Carmela Buono, Ludovica Del Giudice, Alessio Lustro, Chiara Ghislieri, P. Spagnoli","doi":"10.1177/08944393231192233","DOIUrl":"https://doi.org/10.1177/08944393231192233","url":null,"abstract":"Recently, Loscalzo and Giannini have proposed Studyholism as a possible new clinical condition, highlighting its potential antecedents and outcomes. The present study investigates the moderating role of Internet addiction in the relationship between Studyholism, academic exhaustion and insomnia. Three hundred and eighteen Italian university students (85.50% female; mean age = 22.98 ± 4.34) participated in the survey during the third wave of the COVID-19 pandemic. The two moderation models were tested using the structural equation model with Mplus 7. Results showed a significant direct effect of Studyholism on both academic exhaustion and insomnia and also confirmed the moderating role of Internet addiction in the aforementioned relationships. Although there is a linear relationship between Studyholism and the outcomes, at lower levels of Internet addiction, there is a greater effect of Studyholism on both academic exhaustion and insomnia than at medium and high levels of Internet addiction. Based on these findings, we suggest screening students who report insomnia and academic exhaustion for both Internet addiction and Studyholism, as they might both contribute to these negative health-related aspects.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46326081","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}

{"title":"Guaranteed Incentives and Prize Drawings: Effects on Participation, Data Quality, and Costs in a Web Survey of College Students on Sensitive Topics","authors":"Jennifer Dykema, John Stevenson, Cameron P. Jones, Brendan F Day","doi":"10.1177/08944393231189853","DOIUrl":"https://doi.org/10.1177/08944393231189853","url":null,"abstract":"Many studies rely on traditional web survey methods in which all contacts with sample members are through email and the questionnaire is administered exclusively online. Because it is difficult to effectively administer prepaid incentives via email, researchers frequently employ lotteries or prize draws as incentives even though their influence on survey participation is small. The current study examines whether a prize draw is more effective if it is divided into a few larger amounts versus several smaller amounts and compares prize draws to a small but guaranteed postpaid incentive. Data are from the 2019 Campus Climate Survey on Sexual Assault and Sexual Misconduct. Sample members include 38,434 undergraduate and graduate students at a large Midwestern university who were randomly assigned to receive: a guaranteed $5 Amazon gift card; entry into a high-payout drawing for one of four $500 prizes; or entry into a low-payout drawing for one of twenty $100 prizes. Results indicate the guaranteed incentive increased response rates, with no difference between the prize draws. While results from various data quality outcomes show the guaranteed incentive reduced break-off rates and the high-payout drawing increased item nonresponse, there were no differences across incentive conditions in rates of speeding, reporting of sensitive data, straightlining, or sample representativeness. As expected, the prize draws had much lower overall and per complete costs.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43109796","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}

{"title":"Monitoring Looting at Cultural Heritage Sites: Applying Deep Learning on Optical Unmanned Aerial Vehicles Data as a Solution","authors":"M. Altaweel, A. Khelifi, Mohammad Maher Shana’ah","doi":"10.1177/08944393231188471","DOIUrl":"https://doi.org/10.1177/08944393231188471","url":null,"abstract":"The looting of cultural heritage sites has been a growing problem and threatens national economies, social identity, destroys research potential, and traumatizes communities. For many countries, the challenge in protecting heritage is that there are often too few resources, particularly paid site guards, while sites can also be in remote locations. Here, we develop a new approach that applies deep learning methods to detect the presence of looting at heritage sites using optical imagery from unmanned aerial vehicles (UAVs). We present results that demonstrate the accuracy, precision, and recall of our approach. Results show that optical UAV data can be an easy way for authorities to monitor heritage sites, demonstrating the utility of deep learning in aiding the protection of heritage sites by automating the detection of any new damage to sites. We discuss the impact and potential for deep learning to be used as a tool for the protection of heritage sites. How the approach could be improved with new data is also discussed. Additionally, the code and data used are provided as part of the outputs.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":" ","pages":""},"PeriodicalIF":4.1,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47250452","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}