Nonparticipation Bias in Accelerometer-Based Studies and the Use of Propensity Scores [0.03%]
基于加速计研究中的不参与偏差及倾向得分的应用
Christopher Antoun,Alexander Wenz
Christopher Antoun
Relatively little attention has been paid to the effects of nonparticipation on data quality in population-based studies that use accelerometers to measure physical activity. We examine these issues using data from the 2013 Longitudinal Int...
Feminist Identity and Online Activism in Four Countries From 2019 to 2023 [0.03%]
2019至2023年四國的女性身份和線上活動
Shelley Boulianne,Katharina Heger,Nicole Houle et al.
Shelley Boulianne et al.
The COVID-19 pandemic heightened burdens on caregivers, but also the visibility of caregiving inequalities. These grievances may activate a feminist identity which in turn leads to greater civic and political participation. During a pandemi...
CORA: An Open-Source Software Tool for Combinational Regularity Analysis [0.03%]
CORA：用于组合正则性分析的开源软件工具
Lusine Mkrtchyan,Alrik Thiem,Zuzana Sebechlebská
Lusine Mkrtchyan
Modern Configurational Comparative Methods (CCMs), such as Qualitative Comparative Analysis (QCA) and Coincidence Analysis (CNA), have gained in popularity among social scientists over the last thirty years. A new CCM called Combinational R...
Online and Unkind: Examining the Personality Correlates of Online Political Incivility [0.03%]
在线政治不文明行为的人格影响因素研究
Luke Ryan Mungall,Scott Pruysers,Julie Blais
Luke Ryan Mungall
Many forms of online political incivility threaten democratic norms, contribute to polarization, and are often directed at women and racial minorities. Recent research shows that online political incivility may come from a minority of users...
Uncovering the Missing Pieces: Predictors of Nonresponse in a Mobile Experience Sampling Study on Media Effects Among Youth [0.03%]
拨云见日：移动经验取样研究中影响未成年人媒体效应缺失数据的预测因素
Anne Reinhardt,Sophie Mayen,Claudia Wilhelm
Anne Reinhardt
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 mi...
Novelty in News Search: A Longitudinal Study of the 2020 US Elections [0.03%]
新颖性在新闻搜索中的作用：以2020年美国大选为例的长期研究
Roberto Ulloa,Mykola Makhortykh,Aleksandra Urman et al.
Roberto Ulloa et al.
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 proces...
Potential Pitfalls With Automatic Sentiment Analysis: The Example of Queerphobic Bias [0.03%]
自动情感分析的潜在问题：反同偏见的例子
Eddie L Ungless,Björn Ross,Vaishak Belle
Eddie L Ungless
Automated sentiment analysis can help efficiently detect trends in patients' moods, consumer preferences, political attitudes and more. Unfortunately, like many natural language processing techniques, sentiment analysis can show bias agains...
Participatory Inequality Across Countries: Contacting Public Officials Online and Offline [0.03%]
线上线下联系公职人员的跨境参与不平等现象研究
Shelley Boulianne
Shelley Boulianne
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 official...
Shelley Boulianne
Shelley Boulianne
Nonprofit organizations and groups depend on donations and volunteers for their survival. Digital media can help by offering a platform for making online donations and facilitating online volunteering, but also by identifying and connecting...
Artificial Intelligence and Inclusion: Formerly Gang-Involved Youth as Domain Experts for Analyzing Unstructured Twitter Data [0.03%]
人工智能与包容性：涉黑青年作为领域专家剖析非结构化Twitter数据
William R Frey,Desmond U Patton,Michael B Gaskell et al.
William R Frey et al.
Mining social media data for studying the human condition has created new and unique challenges. When analyzing social media data from marginalized communities, algorithms lack the ability to accurately interpret off-line context, which may...