Social Science Computer Review最新文献

Automated Detection of Media Bias Using Artificial Intelligence and Natural Language Processing: A Systematic Review

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2025-04-04 DOI: 10.1177/08944393251331510

Mar Castillo-Campos, David Becerra-Alonso, Hajo G. Boomgaarden

{"title":"Automated Detection of Media Bias Using Artificial Intelligence and Natural Language Processing: A Systematic Review","authors":"Mar Castillo-Campos, David Becerra-Alonso, Hajo G. Boomgaarden","doi":"10.1177/08944393251331510","DOIUrl":"https://doi.org/10.1177/08944393251331510","url":null,"abstract":"Media bias has long been a subject of scholarly interest due to its potential to shape public perceptions and behaviors. This systematic review leverages advances in natural language processing (NLP) to explore automated methods to detect media bias, addressing five core questions: it examines the definitions and operationalization of media bias, explores the NLP tasks addressed for its detection, the technologies used, and their respective outcomes and applied findings. This review also examines the practical applications of these methodologies and assesses the patterns, implications, and limitations associated with using artificial intelligence for media bias detection. Analyzing peer-reviewed articles from 2019 to 2023, the review initially identified 519 articles, which ultimately included 28 relevant ones. Significant heterogeneity is observed in bias definitions, affecting the analysis and detection approaches. The review highlights the predominant use of some methods and identifies challenges such as inconsistencies in problem definition, outcome measurement, and comparative method evaluation. Regardless of the conceptualizations of bias and the methods used, studies consistently identify bias in media outlets. Thus, studying media bias remains necessary for raising awareness and detection, and NLP methods are significant allies in this endeavor. This research aims to consolidate the foundations of recent advances in NLP for bias detection, encouraging researchers to focus on developing transparent, task-specific tools and work toward a consensus on a technical definition of bias and standardized metrics for its evaluation.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"38 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143782658","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

Electoral Forecasting in Volatile Party System Settings: Assessing and Improving Pre-Election Poll Predictions in Italy 多变政党制度背景下的选举预测：评估和改进意大利的选前民调预测

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2025-03-24 DOI: 10.1177/08944393251328309

Kenneth Bunker

{"title":"Electoral Forecasting in Volatile Party System Settings: Assessing and Improving Pre-Election Poll Predictions in Italy","authors":"Kenneth Bunker","doi":"10.1177/08944393251328309","DOIUrl":"https://doi.org/10.1177/08944393251328309","url":null,"abstract":"This study examines electoral forecasting in volatile party systems, focusing on factors contributing to deviations between poll predictions and actual election outcomes. Using Italy as a case study, it identifies biases in polling data and proposes a method to enhance estimator accuracy in a context of stable institutions and volatile electoral dynamics. Data from three Italian general elections are analyzed to evaluate discrepancies between pre-electoral polls and results, assessing key factors such as timing of data collection, survey methodology, sample size, and party system fragmentation. Employing a Bayesian inference process via a Markov chain Monte Carlo (MCMC) adaptive Metropolis-Hastings (MH) algorithm, the study demonstrates that pre-electoral estimates can be significantly improved using the Two-Stage Model (TSM). By consistently outperforming traditional poll predictions, the TSM offers a robust framework for addressing polling biases. These findings advance political forecasting by improving accuracy in both consolidated democracies and volatile electoral contexts, while emphasizing the need for future research on dynamic polling methods and fundamentals-based models.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"183 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143695280","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 the Use of a Large Language Model for Inductive Content Analysis in a Discourse Network Analysis Study

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2025-03-14 DOI: 10.1177/08944393251326175

Steve Randerson, Thomas Graydon-Guy, En-Yi Lin, Sally Casswell

{"title":"Exploring the Use of a Large Language Model for Inductive Content Analysis in a Discourse Network Analysis Study","authors":"Steve Randerson, Thomas Graydon-Guy, En-Yi Lin, Sally Casswell","doi":"10.1177/08944393251326175","DOIUrl":"https://doi.org/10.1177/08944393251326175","url":null,"abstract":"Large language models show promising capability in some qualitative content analysis tasks; however, research reporting their performance in identifying initial codes that underpin subsequent analysis is scarce. This paper explores the suitability of GPT-4 to assist in building a codebook for a discourse network analysis (DNA) of a recent alcohol policy reform. DNA is a codebook-driven approach to identifying groupings of actors who use similar policy framings. The paper uses GPT-4 to identify initial codes (‘concepts’) and related quotes in 108 news articles and interviews. The results produced by GPT-4 are compared to a codebook prepared by researchers. GPT-4 identified over two-thirds of the concepts found by the researchers, and it was highly accurate in screening out a large volume of irrelevant media items. However, GPT-4 also provided many irrelevant concepts that required researcher review and removal. The discussion reflects on the implications for using GPT-4 in codebook preparation for DNA and other situations, including the need for human involvement and sample testing to understand its strengths and limitations, which may limit efficiency gains.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"56 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143627418","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

Response Times and Self-Reporting: Response Patterns Across Countries and World Regions Using Data From a Large Scale Computer-Based Assessment 回答时间和自我报告：利用大规模计算机测评数据了解不同国家和世界地区的响应模式

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2025-02-25 DOI: 10.1177/08944393251322160

Hana Vonkova, Ondrej Papajoanu, Martin Bosko

{"title":"Response Times and Self-Reporting: Response Patterns Across Countries and World Regions Using Data From a Large Scale Computer-Based Assessment","authors":"Hana Vonkova, Ondrej Papajoanu, Martin Bosko","doi":"10.1177/08944393251322160","DOIUrl":"https://doi.org/10.1177/08944393251322160","url":null,"abstract":"Understanding reporting behavior in questionnaires is a key issue in enhancing cross-national data comparability and policy decisions. Computers help improve the analysis of careless or insufficient effort (C/IE) responding by logging response times and other response behavior, ensuring data quality. We introduce a response-time based approach, built on an analysis of the relationship between a survey item and a related external variable, to cross-national research. Using PISA 2015 data from 58 countries/economies, we analyze patterns of correlations between the enjoyment of science and science test scores across response time. We focus on C/IE responding towards the beginning of the response time spectrum. Results indicate rather diligent responding in Eastern Asia and a part of Northern Europe. Yet in other regions (e.g., part of Latin America and the Caribbean, and Eastern Europe), C/IE responding might be distorting the data. We provide other researchers with information regarding when and to what extent C/IE responding can occur across countries. We enhance the understanding of heterogeneity in reporting behavior across countries.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"37 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143528373","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

Anything but Politics: Connectedness in Networked Social Groups for Addressing Prejudice

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2025-02-24 DOI: 10.1177/08944393251320059

Brandon C. Bouchillon

{"title":"Anything but Politics: Connectedness in Networked Social Groups for Addressing Prejudice","authors":"Brandon C. Bouchillon","doi":"10.1177/08944393251320059","DOIUrl":"https://doi.org/10.1177/08944393251320059","url":null,"abstract":"Research indicates that prejudice has been growing in America. Citizens feel increasingly threatened by immigrants, and hate crimes against immigrant groups have risen. Declining interpersonal contact has also made it more difficult to address prejudice directly. This study examines whether nonpolitical social media groups can foster connections that reduce prejudice. These groups allow users to connect on the basis of shared interests, enabling diverse individuals to form close relationships which may improve attitudes toward immigrants. Using a national web survey matched to U.S. Census percentages for sex, race, ethnicity, age, and region of residence ( N = 1500), along with a two-wave panel conducted over six weeks ( N = 752), results indicate that blatant prejudice is more prevalent than subtle prejudice. Respondents were more likely to feel threatened by immigrants than to withhold positive emotions from them. As a remedy, social connectedness in nonpolitical groups was associated with diminished blatant prejudice and lower levels of global prejudice, a measure that includes both subtle and blatant components. Findings suggest that feeling connected with different people remotely can improve attitudes toward racial and ethnic diversity, helping individuals feel less threatened by immigrants and less prejudiced overall.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"22 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143485778","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

AI Chatbots in Political Campaigns: A Practical Experience in the EU’s 2024 Parliament Elections

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2025-02-12 DOI: 10.1177/08944393251320063

Davide Tosi, Marco Chiappa, Dario Pizzul

引用次数: 0

The Use of Religion Online by Indian Political Entities During the 2024 Lok Sabha Election: Religiopolitical Propaganda on Social Media?

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2025-02-07 DOI: 10.1177/08944393251319740

Mridha Md. Shiblee Noman, Md. Sayeed Al-Zaman

{"title":"The Use of Religion Online by Indian Political Entities During the 2024 Lok Sabha Election: Religiopolitical Propaganda on Social Media?","authors":"Mridha Md. Shiblee Noman, Md. Sayeed Al-Zaman","doi":"10.1177/08944393251319740","DOIUrl":"https://doi.org/10.1177/08944393251319740","url":null,"abstract":"The intersection of politics and religion in India has gained significant scholarly attention, particularly since the Bharatiya Janata Party’s (BJP) rise to power in 2014. The increasing impact of social media on Indian politics has intensified this concern. However, it is yet to be fully explored how social media was used for religiopolitical purposes during the Indian election in 2024. We computationally analyzed 3082 Facebook posts using BERTopic, word embedding, and cluster analysis to understand how politicians, political candidates, political organizations, and political parties intertwined religion and politics during the 2024 Lok Sabha election. We identified the presence of religiopolitical propaganda, primarily aimed at reviving and recreating Hindu nationalist history and targeting religious minorities, mainly Muslims. The major topics of the posts included ideological legacy, political landscape, party and leadership, celebrations, crime and justice, local politics and governance, politicized demographic trends, public engagements, spiritual and philosophical themes, and the misrepresented reservation issue. The interconnectedness of these issues suggests that the BJP and its allies concentrated on religious matters, from Hindu–Muslim debates to reservations for Muslims and the inauguration of Hindu temples. Data from non-political entities, such as influencers, as well as cross-platform analysis from Twitter and YouTube, can extend and enrich these insights.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143367358","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

The Role of Physical Appearance Comparison, Self-Esteem, and Emotional Control in the Association Between Social Media Addiction and Masculine Depression

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2025-01-30 DOI: 10.1177/08944393251315915

Maya Kagan, Uzi Ben-Shalom, Michal Mahat-Shamir

{"title":"The Role of Physical Appearance Comparison, Self-Esteem, and Emotional Control in the Association Between Social Media Addiction and Masculine Depression","authors":"Maya Kagan, Uzi Ben-Shalom, Michal Mahat-Shamir","doi":"10.1177/08944393251315915","DOIUrl":"https://doi.org/10.1177/08944393251315915","url":null,"abstract":"Social media has become an integral part of daily life, shaping behaviors, self-perception, and emotional well-being. However, its addictive use raises concerns about its potential to aggravate psychological challenges, particularly in the context of societal expectations of masculinity. The current report presents a study exploring the pathways through which social media addiction contributes to masculine depression, specifically examining the roles of physical appearance comparison, self-esteem, and emotional control among men. By investigating these relationships, it aims to provide insights into the psychological consequences of social media addiction for men. Structured questionnaires were administered to 849 Israeli men aged 18 and older. Employing a moderated sequential mediation model with social media addiction as the independent variable, physical appearance comparison and self-esteem as mediators, and masculine depression as the dependent variable, this study also investigates emotional control as a moderator in the associations between social media addiction, physical appearance comparison, self-esteem, and masculine depression. The analysis, conducted using model 89 PROCESS v4.2 macro, reveals that conforming to the masculine norm of emotional control intensifies men’s vulnerability to distress resulting from maladaptive behaviors such as social media addiction, which can lead to masculine depression. Furthermore, addiction to social media can trigger masculine depression via psychosocial factors such as physical appearance comparison and low self-esteem, which have yet to be explored in the context of masculine depression. These findings underscore the importance of targeted interventions that address the societal pressures of masculinity and the psychological repercussions of excessive social media use among men. They also emphasize the necessity of raising awareness about these issues among both the public and therapists.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"122 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143071509","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

Machine Learning and Political Events: Application of a Semi-supervised Approach to Produce a Dataset on Presidential Cabinets 机器学习与政治事件：应用半监督方法生成总统内阁数据集

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2025-01-20 DOI: 10.1177/08944393251315917

Bastián González-Bustamante

引用次数: 0

A Dual-Role Trust Model for Social Media Influencers: The Paradox of Perceived Friendship 社交媒体影响者的双重角色信任模型：感知友谊的悖论

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-12-24 DOI: 10.1177/08944393241311586

Shang Chen, Xuefei Xu, Qingfei Min, Lin Liu

引用次数: 0