Xue Jia, Shi Hong, Zhang Qiaoru, Fan Jingchuan, Shier Micheal
University of Toronto, Ontario, Canada.
Nonprofit Volunt Sect Q. 2025 Apr;54(2):378-410. doi: 10.1177/08997640241247025. Epub 2024 May 18.
This study examines the attention-seeking strategies of sexual assault organizations on Twitter in Canada, exploring the factors influencing the level of attention received. Drawing on the foundation work of Guo and Saxon's four-factor explanatory model, the research extends and refines the model by incorporating new factors, including Covid-related content, network size, intended audience, direct services, donations, and visual content. The study's methodology involved sampling 124 sexual assault and rape crisis centers in Canada, collecting Twitter data ( = 320,836 Tweets up to April 2023), and employing ordinary least squares and fixed effect regression analysis. Results showed significant relationships between these factors and attention received, providing insights for both theoretical understanding and practical guidance.
本研究考察了加拿大性侵犯组织在推特上的寻求关注策略，探讨了影响所获关注程度的因素。基于郭和萨克森的四因素解释模型的基础工作，该研究通过纳入新的因素对模型进行了扩展和完善，这些新因素包括与新冠疫情相关的内容、网络规模、目标受众、直接服务、捐赠和视觉内容。该研究的方法包括对加拿大124个性侵犯和强奸危机中心进行抽样，收集推特数据（截至2023年4月共320,836条推文），并采用普通最小二乘法和固定效应回归分析。结果表明这些因素与所获关注之间存在显著关系，为理论理解和实践指导都提供了见解。
