Pub Date : 2025-11-27DOI: 10.1177/08944393251405480
Parwinder Singh, Divya Kumari, Deeksha Sahu
Emerging social media platforms have become integral to daily life by fulfilling users’ needs for information, expression, and social connection. Short-form videos (SFVs) are especially popular among youth due to their personalized and immersive design. Research has highlighted that, in educational settings, social media–assisted instructional approaches can enhance motivation, participation, and performance; however, the abundance of non-educational content on SFV platforms may hinder students’ self-regulation and academic focus. Excessive engagement may impair concentration, increase procrastination, reduce classroom participation, and heighten stress, anxiety, and depression. Despite growing concerns on excessive SFV usage, limited attention has been given to how such consumption disrupts students’ daily functioning and the psychological mechanisms involved. Addressing this gap, the present study examines escapism as a mediator between emotion regulation difficulties (ERDs) and SFV-related functioning disruptions, and investigates conscientiousness as a moderating factor in this relationship. Data was collected from B.Tech students ( N = 303) enrolled in technical institutions across India through an online survey using standardized measures. Collected data was subjected to regression, mediation and moderation analysis using SPSS v.30 and PROCESS macro. It was found that escapism was a significant mediator in the relationship of ERDs and interference from SFV consumption and conscientiousness emerged as a moderator of the relationship between ERDs and escapism. The study provides deeper theoretical insights into the psychological drivers of SFV-related dysfunction and informs strategies for mitigating its negative academic and psychological impacts. The results can aid in designing digital well-being interventions, guiding educators and parents in fostering responsible SFV consumption among students.
{"title":"Caught in the Scroll: Emotion Regulation, Escapism, and Conscientiousness in Short-Form Video Use–Related Disruptions","authors":"Parwinder Singh, Divya Kumari, Deeksha Sahu","doi":"10.1177/08944393251405480","DOIUrl":"https://doi.org/10.1177/08944393251405480","url":null,"abstract":"Emerging social media platforms have become integral to daily life by fulfilling users’ needs for information, expression, and social connection. Short-form videos (SFVs) are especially popular among youth due to their personalized and immersive design. Research has highlighted that, in educational settings, social media–assisted instructional approaches can enhance motivation, participation, and performance; however, the abundance of non-educational content on SFV platforms may hinder students’ self-regulation and academic focus. Excessive engagement may impair concentration, increase procrastination, reduce classroom participation, and heighten stress, anxiety, and depression. Despite growing concerns on excessive SFV usage, limited attention has been given to how such consumption disrupts students’ daily functioning and the psychological mechanisms involved. Addressing this gap, the present study examines escapism as a mediator between emotion regulation difficulties (ERDs) and SFV-related functioning disruptions, and investigates conscientiousness as a moderating factor in this relationship. Data was collected from B.Tech students ( <jats:italic toggle=\"yes\">N</jats:italic> = 303) enrolled in technical institutions across India through an online survey using standardized measures. Collected data was subjected to regression, mediation and moderation analysis using SPSS v.30 and PROCESS macro. It was found that escapism was a significant mediator in the relationship of ERDs and interference from SFV consumption and conscientiousness emerged as a moderator of the relationship between ERDs and escapism. The study provides deeper theoretical insights into the psychological drivers of SFV-related dysfunction and informs strategies for mitigating its negative academic and psychological impacts. The results can aid in designing digital well-being interventions, guiding educators and parents in fostering responsible SFV consumption among students.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"21 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145610919","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}
Pub Date : 2025-11-23DOI: 10.1177/08944393251399840
Tilko Swalve, Dominic Nyhuis, Christoph Hönnige, Merle Huber, Philipp Köker
Social media has become an indispensable tool for politicians, allowing them to bypass traditional media and party filters to directly communicate with voters. This presents both opportunities and challenges for political parties. On the one hand, politicians can personalize their message to resonate with local constituents. On the other, parties risk appearing disjointed with potential electoral consequences when they fail to present a clear message. To understand whether parties are able to ensure a coherent message in the new media environments, this study examines parties' retweet networks on Twitter in Germany, the Netherlands, and the United Kingdom between 2017 and 2021. We argue that party communication remains predominantly hierarchical, particularly in larger parties. Party elites and official party accounts serve as focal points, creating content that gets disseminated by regular MPs. Unlike party elites, official party accounts play a role in amplifying regular MPs’ messages to a wider audience. We employ Exponential Random Graph Models to assess the structure of parties’ online communication networks, analyzing nearly 400,000 retweets. The results confirm the core predictions of our theory.
{"title":"How Centralized is Party Communication on Social Media?","authors":"Tilko Swalve, Dominic Nyhuis, Christoph Hönnige, Merle Huber, Philipp Köker","doi":"10.1177/08944393251399840","DOIUrl":"https://doi.org/10.1177/08944393251399840","url":null,"abstract":"Social media has become an indispensable tool for politicians, allowing them to bypass traditional media and party filters to directly communicate with voters. This presents both opportunities and challenges for political parties. On the one hand, politicians can personalize their message to resonate with local constituents. On the other, parties risk appearing disjointed with potential electoral consequences when they fail to present a clear message. To understand whether parties are able to ensure a coherent message in the new media environments, this study examines parties' retweet networks on Twitter in Germany, the Netherlands, and the United Kingdom between 2017 and 2021. We argue that party communication remains predominantly hierarchical, particularly in larger parties. Party elites and official party accounts serve as focal points, creating content that gets disseminated by regular MPs. Unlike party elites, official party accounts play a role in amplifying regular MPs’ messages to a wider audience. We employ Exponential Random Graph Models to assess the structure of parties’ online communication networks, analyzing nearly 400,000 retweets. The results confirm the core predictions of our theory.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"32 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145582988","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}
Pub Date : 2025-11-20DOI: 10.1177/08944393251400281
Md. Sayeed Al-Zaman
Social bots have played a significant role in shaping global political events, despite regions’ economic, social, and political differences. However, their presence and impact on social movements remain poorly understood, which underscores the need for further academic inquiry. Consequently, relying on the concept of computational propaganda, we conducted a computational analysis of approximately 1.30 million public comments on Facebook during the July Revolution of 2024 in Bangladesh, utilizing specialized methods for bot detection, network analysis, and topic modeling. Our findings indicate that 22.27% of the comments were likely generated by bots. We discovered a well-organized network of bots that utilized template-based message crafting, mass duplication of messages, and systematic distribution efforts to disseminate propaganda and control the narrative of the movement. The topics discussed by the bots varied according to the event’s timeline and intensity, closely mirroring real-time developments. This suggests that bots may have helped initiate and guide activities, or influence and amplify the dynamics and outcomes of the event.
{"title":"Coordinated Computational Propaganda: Exploring Social Bot Activities During the July Revolution of Bangladesh","authors":"Md. Sayeed Al-Zaman","doi":"10.1177/08944393251400281","DOIUrl":"https://doi.org/10.1177/08944393251400281","url":null,"abstract":"Social bots have played a significant role in shaping global political events, despite regions’ economic, social, and political differences. However, their presence and impact on social movements remain poorly understood, which underscores the need for further academic inquiry. Consequently, relying on the concept of computational propaganda, we conducted a computational analysis of approximately 1.30 million public comments on Facebook during the July Revolution of 2024 in Bangladesh, utilizing specialized methods for bot detection, network analysis, and topic modeling. Our findings indicate that 22.27% of the comments were likely generated by bots. We discovered a well-organized network of bots that utilized template-based message crafting, mass duplication of messages, and systematic distribution efforts to disseminate propaganda and control the narrative of the movement. The topics discussed by the bots varied according to the event’s timeline and intensity, closely mirroring real-time developments. This suggests that bots may have helped initiate and guide activities, or influence and amplify the dynamics and outcomes of the event.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"148 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575700","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}
Pub Date : 2025-11-19DOI: 10.1177/08944393251399841
Cassandra Cross, Thomas J. Holt
Data breaches are an everyday occurrence, exposing the personal details of millions globally. The victim impacts of data breaches can be considerable, including a range of financial harms such as fraud and identity crime, as well as non-financial harms, such as declines in emotional and psychological wellbeing. While these harms are documented, there is less research exploring how data breaches in particular expose victims to further victimisation, specifically through phishing attacks by offenders. Using survey data from 2,019 victims of the Optus and Medibank/AHM data breaches in Australia in 2022, this article examines factors which relate to phishing attempts on these individuals. Results indicate limited factors in predicting those targeted by phishing attempts. This highlights the opportunistic nature of phishing attacks in the aftermath of these two data breaches and a more generalised approach taken by offenders to gain additional details. It also demonstrates a need for continued community education and awareness to protect further personal information from being accessed by offenders into the future.
{"title":"Examining Phishing Attempts on Data Breach Victims","authors":"Cassandra Cross, Thomas J. Holt","doi":"10.1177/08944393251399841","DOIUrl":"https://doi.org/10.1177/08944393251399841","url":null,"abstract":"Data breaches are an everyday occurrence, exposing the personal details of millions globally. The victim impacts of data breaches can be considerable, including a range of financial harms such as fraud and identity crime, as well as non-financial harms, such as declines in emotional and psychological wellbeing. While these harms are documented, there is less research exploring how data breaches in particular expose victims to further victimisation, specifically through phishing attacks by offenders. Using survey data from 2,019 victims of the Optus and Medibank/AHM data breaches in Australia in 2022, this article examines factors which relate to phishing attempts on these individuals. Results indicate limited factors in predicting those targeted by phishing attempts. This highlights the opportunistic nature of phishing attacks in the aftermath of these two data breaches and a more generalised approach taken by offenders to gain additional details. It also demonstrates a need for continued community education and awareness to protect further personal information from being accessed by offenders into the future.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"54 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145553691","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}
Pub Date : 2025-11-12DOI: 10.1177/08944393251395958
Yucan Xiong, Amber van der Wal, Ine Beyens
Data donation, a research approach in which users voluntarily contribute their personal digital data, offers a solution to the limitations of traditional self-reporting and digital trace methods by enabling the collection of comprehensive, ethically sourced usage information across multiple devices and digital interfaces. However, this promising method remains underutilized due to low participation rates. Therefore, this review pursued two integrated aims. First, to synthesize evidence on factors that influence three forms of participation: hypothetical willingness (stated intention in imagined scenarios), actual willingness (consent to donate when asked), and successful completion (following through with the full donation process). Second, to appraise existing workflows, frameworks, and methodological tools and integrate this appraisal with the factor synthesis to derive best practices for improving participation. We synthesized 35 articles, of which 14 examined factors influencing participation and 21 provide methodological guidance. Five key factors were identified: sensitivity of the data, privacy concerns, perceived autonomy and control over the donation process, complexity of the process, and participant characteristics. To overcome barriers related to these factors, we recommend maximizing participant privacy through robust data donation frameworks, enhancing transparency and user-friendliness, empowering participants by increasing autonomy and control over their data, and proactively addressing potential selection biases.
{"title":"Improving Participation in Data Donation Studies: A Systematic Review of Factors Driving Participation and Evidence-Informed Best Practices","authors":"Yucan Xiong, Amber van der Wal, Ine Beyens","doi":"10.1177/08944393251395958","DOIUrl":"https://doi.org/10.1177/08944393251395958","url":null,"abstract":"Data donation, a research approach in which users voluntarily contribute their personal digital data, offers a solution to the limitations of traditional self-reporting and digital trace methods by enabling the collection of comprehensive, ethically sourced usage information across multiple devices and digital interfaces. However, this promising method remains underutilized due to low participation rates. Therefore, this review pursued two integrated aims. First, to synthesize evidence on factors that influence three forms of participation: hypothetical willingness (stated intention in imagined scenarios), actual willingness (consent to donate when asked), and successful completion (following through with the full donation process). Second, to appraise existing workflows, frameworks, and methodological tools and integrate this appraisal with the factor synthesis to derive best practices for improving participation. We synthesized 35 articles, of which 14 examined factors influencing participation and 21 provide methodological guidance. Five key factors were identified: sensitivity of the data, privacy concerns, perceived autonomy and control over the donation process, complexity of the process, and participant characteristics. To overcome barriers related to these factors, we recommend maximizing participant privacy through robust data donation frameworks, enhancing transparency and user-friendliness, empowering participants by increasing autonomy and control over their data, and proactively addressing potential selection biases.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"155 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145491837","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}
Pub Date : 2025-11-07DOI: 10.1177/08944393251394690
Jenny L. Davis, Mona Sloane
Artificial Intelligence (AI) is a social structure cloaked in technical blackboxes and polarizing narratives. Sociology is the study of society from a structural perspective, delineating the interplays between individuals, organizations, institutions, and cultures. Sociology’s disciplinary lens is necessary to understand AI’s infrastructural force, reflecting and shaping politics, economies, knowledge, and interpersonal spheres. Yet to date, the field of AI research has been dominated by computer science and engineering, underutilizing the explanatory power of sociological theories and methods honed by the discipline over more than a century. Building on a collection of papers that illustrate AI as both a product and driver of social patterns and processes, we demonstrate that the diffusion of AI necessitates sociological analyses now more than ever, positioning sociology at the forefront of AI studies’ next era.
{"title":"AI’s Sociological Era","authors":"Jenny L. Davis, Mona Sloane","doi":"10.1177/08944393251394690","DOIUrl":"https://doi.org/10.1177/08944393251394690","url":null,"abstract":"Artificial Intelligence (AI) is a social structure cloaked in technical blackboxes and polarizing narratives. Sociology is the study of society from a structural perspective, delineating the interplays between individuals, organizations, institutions, and cultures. Sociology’s disciplinary lens is necessary to understand AI’s infrastructural force, reflecting and shaping politics, economies, knowledge, and interpersonal spheres. Yet to date, the field of AI research has been dominated by computer science and engineering, underutilizing the explanatory power of sociological theories and methods honed by the discipline over more than a century. Building on a collection of papers that illustrate AI as both a product and driver of social patterns and processes, we demonstrate that the diffusion of AI necessitates sociological analyses now more than ever, positioning sociology at the forefront of AI studies’ next era.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"40 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145472961","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}
Pub Date : 2025-11-07DOI: 10.1177/08944393251394710
Tatiana Lupacheva
The news media are a primary but limited source of political information for voters. This article examines how the media coverage of members of parliament (MPs) prompts people to seek more information about MPs—an important element of voters’ political knowledge and democratic accountability. I use all available online content from four major Estonian newspapers during 2015–2023 ( ∼ 140,000 articles) and pre-trained transformer models to classify the sentiment and policy issues of news articles that mention MPs. I match media data with MPs’ Wikipedia pageviews on a daily basis over two legislative terms. First, the results show that media visibility of MPs is associated with more views of their Wikipedia page on the same day. Second, news articles with negative sentiment have a greater impact on information-seeking than those with a positive or neutral tone. Third, the impact of MPs' media appearances on information-seeking is dependent on the policy context as well as party affiliation. The findings have implications for understanding the consequences of political communication and democratic representation in the digital age.
{"title":"Media Visibility and Information-Seeking: Analyzing the Impact of News Coverage on Wikipedia Pageviews of Estonian MPs (2015–2023)","authors":"Tatiana Lupacheva","doi":"10.1177/08944393251394710","DOIUrl":"https://doi.org/10.1177/08944393251394710","url":null,"abstract":"The news media are a primary but limited source of political information for voters. This article examines how the media coverage of members of parliament (MPs) prompts people to seek more information about MPs—an important element of voters’ political knowledge and democratic accountability. I use all available online content from four major Estonian newspapers during 2015–2023 ( <jats:inline-formula> <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" overflow=\"scroll\"> <mml:mo>∼</mml:mo> </mml:math> </jats:inline-formula> 140,000 articles) and pre-trained transformer models to classify the sentiment and policy issues of news articles that mention MPs. I match media data with MPs’ Wikipedia pageviews on a daily basis over two legislative terms. First, the results show that media visibility of MPs is associated with more views of their Wikipedia page on the same day. Second, news articles with negative sentiment have a greater impact on information-seeking than those with a positive or neutral tone. Third, the impact of MPs' media appearances on information-seeking is dependent on the policy context as well as party affiliation. The findings have implications for understanding the consequences of political communication and democratic representation in the digital age.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"22 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145472986","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}
Pub Date : 2025-11-05DOI: 10.1177/08944393251395763
Chris J. Vargo, Tobias Hopp
We examine incivility across twenty high-traffic political and news subreddits to test how platform governance and social identity cues relate to on-platform discourse and participation. Building on theories of democratic communication and incivility, platform affordances and moderation, and uses-and-gratifications/network externalities, we specify how decentralized community rules and explicit in-group orientations could shape both the prevalence of uncivil language and patterns of engagement. We analyze a year-long, random sample of submissions and comments scored with established computational measures of incivility, and we link these scores to subreddit-level rule regimes and identity signaling. By distinguishing interpersonal impoliteness from democratic norm violations and by evaluating moderation complexity at the community level, this work clarifies when and how community governance relates to discourse quality and participation dynamics on Reddit. Findings inform ongoing debates about the efficacy of hybrid, human-centered moderation and the role of explicit identity norms in large online communities.
{"title":"Incivility in Reddit’s Top Political and News Subreddits: Prevalence, Moderation, and Engagement","authors":"Chris J. Vargo, Tobias Hopp","doi":"10.1177/08944393251395763","DOIUrl":"https://doi.org/10.1177/08944393251395763","url":null,"abstract":"We examine incivility across twenty high-traffic political and news subreddits to test how platform governance and social identity cues relate to on-platform discourse and participation. Building on theories of democratic communication and incivility, platform affordances and moderation, and uses-and-gratifications/network externalities, we specify how decentralized community rules and explicit in-group orientations could shape both the prevalence of uncivil language and patterns of engagement. We analyze a year-long, random sample of submissions and comments scored with established computational measures of incivility, and we link these scores to subreddit-level rule regimes and identity signaling. By distinguishing interpersonal impoliteness from democratic norm violations and by evaluating moderation complexity at the community level, this work clarifies when and how community governance relates to discourse quality and participation dynamics on Reddit. Findings inform ongoing debates about the efficacy of hybrid, human-centered moderation and the role of explicit identity norms in large online communities.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"22 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145447125","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}
Pub Date : 2025-11-03DOI: 10.1177/08944393251392916
Nicole Schwitter
Factorial survey experiments are widely used in the social sciences to study decision-making and attitudes through controlled, experimentally manipulated scenarios – typically presented as text. While textual vignettes offer flexibility and ease of use, they often lack realism and may limit participant engagement. This article explores how generative artificial intelligence (AI) can be used to create customisable images for visual vignettes. It demonstrates techniques for producing and selectively editing images, highlighting their potential to address the demands of experimental social science research, while it also acknowledges key challenges, including ethical considerations, biases inherent in AI tools, and technical limitations. The article showcases potential applications of AI-generated images in social science research and draws on a pretest with human participants to present evidence on how AI-generated images are perceived and interpreted. By critically evaluating both opportunities and challenges, this article provides researchers with practical guidance on integrating AI-generated visuals into factorial survey experiments, enhancing methodological approaches in the social sciences.
{"title":"Using Artificial Intelligence to Generate Visual Vignettes in Factorial Survey Experiments","authors":"Nicole Schwitter","doi":"10.1177/08944393251392916","DOIUrl":"https://doi.org/10.1177/08944393251392916","url":null,"abstract":"Factorial survey experiments are widely used in the social sciences to study decision-making and attitudes through controlled, experimentally manipulated scenarios – typically presented as text. While textual vignettes offer flexibility and ease of use, they often lack realism and may limit participant engagement. This article explores how generative artificial intelligence (AI) can be used to create customisable images for visual vignettes. It demonstrates techniques for producing and selectively editing images, highlighting their potential to address the demands of experimental social science research, while it also acknowledges key challenges, including ethical considerations, biases inherent in AI tools, and technical limitations. The article showcases potential applications of AI-generated images in social science research and draws on a pretest with human participants to present evidence on how AI-generated images are perceived and interpreted. By critically evaluating both opportunities and challenges, this article provides researchers with practical guidance on integrating AI-generated visuals into factorial survey experiments, enhancing methodological approaches in the social sciences.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"24 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145435088","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}
Pub Date : 2025-10-28DOI: 10.1177/08944393251389280
{"title":"Corrigendum to ‘Topic Modeling as a Tool to Analyze Child Abuse From the Corpus of English Newspapers in Pakistan’","authors":"","doi":"10.1177/08944393251389280","DOIUrl":"https://doi.org/10.1177/08944393251389280","url":null,"abstract":"","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":"68 1","pages":""},"PeriodicalIF":4.1,"publicationDate":"2025-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145397340","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}
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