Social Science Computer Review最新文献_第4页

Adaptive Self-Reflection as a Social Media Self-Effect: Insights from Computational Text Analyses of Self-Disclosures of Unreported Sexual Victimization in a Hashtag Campaign 作为社交媒体自我效应的适应性自我反思：对标签活动中未报告性侵害的自我披露进行计算文本分析的启示

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-05-21 DOI: 10.1177/08944393241252640

Tien Ee Dominic Yeo, Tsz Hang Chu

{"title":"Adaptive Self-Reflection as a Social Media Self-Effect: Insights from Computational Text Analyses of Self-Disclosures of Unreported Sexual Victimization in a Hashtag Campaign","authors":"Tien Ee Dominic Yeo, Tsz Hang Chu","doi":"10.1177/08944393241252640","DOIUrl":"https://doi.org/10.1177/08944393241252640","url":null,"abstract":"Hashtag campaigns calling out sexual violence and rape myths offer a unique context for disclosing sexual victimization on social media. This study investigates the applicability of adaptive self-reflection as a potential self-effect from such public disclosures of unreported sexual victimization experiences by analyzing 92,583 tweets that invoked #WhyIDidntReport. A supervised machine learning classifier determined that 61.8% of the tweets were self-disclosures of sexual victimization. Linguistic Inquiry and Word Count (LIWC) analysis showed statistically significant differences in four psycholinguistic dimensions (greater use of past focus, cognitive processes, insight, and causation words) connected with reflective processing in tweets with self-disclosed sexual victimization compared to those without. Additionally, topic modeling and thematic analysis identified nine salient topics within the self-disclosing tweets, comprising three self-distanced representations (i.e., relatively abstract and insightful construals) of the unwanted experiences: (a) acknowledging one’s previously unacknowledged victimization, (b) reaffirming one’s rationale for not reporting, and (c) decrying invalidating response to one’s disclosure. Moving beyond reception effects and social support in extant research about social media as a coping tool, this study provides new empirical insights into the potential of social media to promote expressive meaning-making of upsetting and traumatic experiences in ways that support recovery and resilience.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141079280","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

Personal, Private, Emotional? How Political Parties Use Personalization Strategies on Facebook in the 2014 and 2019 EP Election Campaigns 个人、隐私、情感？政党如何在 2014 年和 2019 年欧洲议会选举活动中使用 Facebook 上的个性化策略

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-05-17 DOI: 10.1177/08944393241254807

Uta Russmann, Ulrike Klinger, Karolina Koc-Michalska

引用次数: 0

Personal, Private, Emotional? How Political Parties Use Personalization Strategies on Facebook in the 2014 and 2019 EP Election Campaigns 个人、隐私、情感？政党如何在 2014 年和 2019 年欧洲议会选举活动中使用 Facebook 上的个性化策略

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-05-17 DOI: 10.1177/08944393241254807

U. Russmann, Ulrike Klinger, Karolina Koc-Michalska

引用次数: 0

Nonparticipation Bias in Accelerometer-Based Studies and the Use of Propensity Scores 基于加速度计的研究中的非参与偏差与倾向分数的使用

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-05-16 DOI: 10.1177/08944393241254463

Christopher Antoun, Alexander Wenz

引用次数: 0

Incivility in Comparison: How Context, Content, and Personal Characteristics Predict Exposure to Uncivil Content 比较中的不文明行为：情境、内容和个人特征如何预测不文明内容的暴露程度

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-05-14 DOI: 10.1177/08944393241252638

Felix Schmidt, Sebastian Stier, Lukas Otto

{"title":"Incivility in Comparison: How Context, Content, and Personal Characteristics Predict Exposure to Uncivil Content","authors":"Felix Schmidt, Sebastian Stier, Lukas Otto","doi":"10.1177/08944393241252638","DOIUrl":"https://doi.org/10.1177/08944393241252638","url":null,"abstract":"Incivility, that is, the breaking of social norms of conversation, is evidently prevalent in online political communication. While a growing literature provides evidence on the prevalence of incivility in different online venues, it is still unclear where and to what extent Internet users are exposed to incivility. This paper takes a comparative approach to assess the levels of incivility across contexts, content and personal characteristics. The pre-registered analysis uses detailed web browsing histories, including public Facebook posts and tweets seen by study participants, in combination with surveys collected during the German federal election 2021 ( N = 739). The level of incivility is predicted using Google’s Perspective API and compared across contexts (platforms and campaign periods), content features, and individual-level variables. The findings show that incivility is particularly strong on Twitter and more prevalent in comments than original posts/tweets on Facebook and Twitter. Content featuring political content and actors is more uncivil, whereas personal characteristics are less relevant predictors. The finding that user-generated political content is the most likely source of individuals’ exposure to incivility adds to the understanding of social media’s impact on public discourse.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140942985","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

Unveiling Public Perception and Interpretation of China’s National Self-Image: Analyzing Chinese Online Commentary Data 揭示公众对中国国家自我形象的认知和解读：分析中文网络评论数据

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-05-13 DOI: 10.1177/08944393241253494

Shuo Wang

引用次数: 0

Semi-Automated Nonresponse Detection for Open-Text Survey Data 开放文本调查数据的半自动无响应检测

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-05-10 DOI: 10.1177/08944393241249720

Kristen Cibelli Hibben, Zachary Smith, Benjamin Rogers, Valerie Ryan, Paul Scanlon, Travis Hoppe

{"title":"Semi-Automated Nonresponse Detection for Open-Text Survey Data","authors":"Kristen Cibelli Hibben, Zachary Smith, Benjamin Rogers, Valerie Ryan, Paul Scanlon, Travis Hoppe","doi":"10.1177/08944393241249720","DOIUrl":"https://doi.org/10.1177/08944393241249720","url":null,"abstract":"Open-ended survey questions can enable researchers to gain insights beyond more commonly used closed-ended question formats by allowing respondents an opportunity to provide information with few constraints and in their own words. Open-ended web probes are also increasingly used to inform the design and evaluation of survey questions. However, open-ended questions are more susceptible to insufficient or irrelevant responses that can be burdensome and time-consuming to identify and remove manually, often resulting in underuse of open-ended questions and, when used, potential inclusion of poor-quality data. To address these challenges, we developed and publicly released the Semi-Automated Nonresponse Detection for Survey text (SANDS), an item nonresponse detection approach based on a Bidirectional Transformer for Language Understanding model, fine-tuned using Simple Contrastive Sentence Embedding and targeted human coding, to categorize open-ended text data as valid or likely nonresponse. This approach is powerful in that it uses natural language processing as opposed to existing nonresponse detection approaches that have relied exclusively on rules or regular expressions or used bag-of-words approaches that tend to perform less well on short pieces of text, typos, or uncommon words, often prevalent in open-text survey data. This paper presents the development of SANDS and a quantitative evaluation of its performance and potential bias using open-text responses from a series of web probes as case studies. Overall, the SANDS model performed well in identifying a dataset of likely valid results to be used for quantitative or qualitative analysis, particularly on health-related data. Developed for generalizable use and accessible to others, the SANDS model can greatly improve the efficiency of identifying inadequate and irrelevant open-text responses, offering expanded opportunities for the use of open-text data to inform question design and improve survey data quality.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140910676","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

Human or Not?: An Experiment With Chatbot Manipulations to Test Machine Heuristics and Political Self-Concepts 人还是人？用聊天机器人操作来测试机器启发法和政治自我概念的实验

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-05-07 DOI: 10.1177/08944393241252027

Ke M. Huang-Isherwood, Jaeho Cho, Joo-Wha Hong, Eugene Lee

{"title":"Human or Not?: An Experiment With Chatbot Manipulations to Test Machine Heuristics and Political Self-Concepts","authors":"Ke M. Huang-Isherwood, Jaeho Cho, Joo-Wha Hong, Eugene Lee","doi":"10.1177/08944393241252027","DOIUrl":"https://doi.org/10.1177/08944393241252027","url":null,"abstract":"Chatbots have a growing role to play in political discourse, including in political campaigns, voter mobilization ventures, and dissemination of political news, though chatbots in the political domain are relatively understudied. While testing the machine heuristics and political self-concepts frameworks, we carried out a 2 × 2 experiment where both perceived conversational partner (i.e., bot, human) and topic (i.e., political, casual) were manipulated ( N = 126). During the experiment, participants exchanged chat messages with trained research confederates for 30 min. In support of the machine heuristics and political self-concepts frameworks, participants assigned to human partners reported more positive relationships and higher political interest. Through moderation analysis, liking the partner was found to differ between the perceived partner conditions, with perceived political knowledge varying more in the human conditions. Thus, the experimental findings add nuance to interpersonal (i.e., impression management and social identity theory) and human-computer interaction theories (i.e., machine heuristics and Computers Are Social Actors), and have broader implications for online political interactions and for decisionmakers of online political discourse spaces.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895783","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

Use and Abuse of Social Media as a Punitive Remedy in Light of Criminal Law: A Tool or a Court? Analysis of the Chilean Regulation 根据刑法使用和滥用社交媒体作为惩罚性补救措施：工具还是法庭？智利法规分析

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-05-07 DOI: 10.1177/08944393241252639

Alejandra Castillo Ara

{"title":"Use and Abuse of Social Media as a Punitive Remedy in Light of Criminal Law: A Tool or a Court? Analysis of the Chilean Regulation","authors":"Alejandra Castillo Ara","doi":"10.1177/08944393241252639","DOIUrl":"https://doi.org/10.1177/08944393241252639","url":null,"abstract":"Over the last few years, Chile’s judicial system has witnessed a rise in criminal assumptions generated through social networks, under its hypotheses of funas, doxing, flagging or, in general, the exposure of the personal data of an individual, whether motivated by the performance of conduct of criminal relevance or simply of dubious morality or social appropriateness. Although these conducts originated as a form of digital social empowerment, they have turned into a criminal matter on their own right, posing a series of issues regarding the correct application of the law and casting doubt on the appropriate legal mechanisms to handle these types of accusations, as cases involving these kinds of conducts have been resolved both on a criminal and constitutional level. Thus, the purpose of this article is to determine whether the current Chilean national regulation provides sufficient tools that, with a reasonable interpretation, allow it to correctly handle these sorts of cases. Moreover, this article aims to, through a comprehensive analysis of Germany’s current legislation, determine whether Chile requires a new all-encompassing regulatory approach to these hypotheses similar to the German solution, or if the current rules provide a proper solution to the problem of public personal data exposure on social media as a dangerous behaviour for the person whose data is being exposed.","PeriodicalId":49509,"journal":{"name":"Social Science Computer Review","volume":null,"pages":null},"PeriodicalIF":4.1,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140895795","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

From Trolling Victimization to Reactive Trolling: Moderated Mediation Effects of Online Disinhibition and Motivations 从嘲弄受害者到反应性嘲弄：在线抑制和动机的调节中介效应

IF 4.1 2区社会学

Social Science Computer Review Pub Date : 2024-05-06 DOI: 10.1177/08944393241250013

Yuanyi Mao, Bo Hu

引用次数: 0