Lai Kaisheng, Lee Yan Xin, Chen Hao, Yu Rongjun
1 School of Communication and Design, Sun Yat-Sen University , Guangzhou, China .
2 Department of Psychology, National University of Singapore , Singapore, Singapore .
Cyberpsychol Behav Soc Netw. 2017 Oct;20(10):596-602. doi: 10.1089/cyber.2017.0261.
The widespread use of web searches in daily life has allowed researchers to study people's online social and psychological behavior. Using web search data has advantages in terms of data objectivity, ecological validity, temporal resolution, and unique application value. This review integrates existing studies on web search data that have explored topics including sexual behavior, suicidal behavior, mental health, social prejudice, social inequality, public responses to policies, and other psychosocial issues. These studies are categorized as descriptive, correlational, inferential, predictive, and policy evaluation research. The integration of theory-based hypothesis testing in future web search research will result in even stronger contributions to social psychology.
网络搜索在日常生活中的广泛应用使研究人员能够研究人们的在线社交和心理行为。使用网络搜索数据在数据客观性、生态效度、时间分辨率和独特的应用价值方面具有优势。本综述整合了现有关于网络搜索数据的研究，这些研究探讨了包括性行为、自杀行为、心理健康、社会偏见、社会不平等、公众对政策的反应以及其他社会心理问题等主题。这些研究被归类为描述性、相关性、推断性、预测性和政策评估研究。未来网络搜索研究中基于理论的假设检验的整合将为社会心理学做出更有力的贡献。
