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作 者:崔京月 董柔纯 李伟卿 王伟军[1,2] Cui Jingyue;Dong Rouchun;Li Weiqing;Wang Weijun(Key Laboratory of Adolescent Cyberpsychology and Behavior,Ministry of Education,Central China Normal University,Wuhan,430079;School of Psychology,Central China Nonnal University,Wuhan,430079;School of Information Management,Central China Normal University,Wuhan,430079)
机构地区:[1]青少年网络心理与行为教育部重点实验室,武汉430079 [2]华中师范大学心理学院,武汉430079 [3]华中师范大学信息管理学院,武汉430079
出 处:《心理科学》2021年第6期1403-1410,共8页Journal of Psychological Science
基 金:国家自然科学基金项目(71974072,71571084)的资助。
摘 要:本研究通过网络爬虫技术获取在线音乐用户网络行为与歌词文本数据,并结合大五人格问卷进行分析,旨在探讨用户的人格特质与网络行为、歌词偏好特征之间的相关模式。结果:(1)用户的人格特质与平台网络行为特征呈弱相关;(2)用户的人格特质与歌词文本的词类分布、关键词特征呈弱相关,歌词文本的关键词特征在一定程度上符合不同用户群体的人格特点。The development of the information age provides rich behavior and text data online,and brings great opportunities for psychological research.Music is an important component of human daily life,and the current number of online music users hits 681 million(CNNIC,2021).Previous study affirmed that personality was closely related to internet behavior and music preference.Recently,Qiu et al.(2019)found that the users’personality could predict words in their favorite music.Based on the research,the present study obtained real data of participants from their homepage of NetEase Cloud Music to increase the efficiency and ecological validity.The purpose of the present study was to explore the correlation between personality and internet behavior;the relationship between personality and lyrics characteristics on both general and specific lexical levels.In the present study,568 participants completed the Chinese Big Five Personality Inventory brief version(CBF-PI-B)through online and offline recruitment.After obtaining the users’informed consent,the network crawler technology was used to collect data of all participants from Netease Cloud Music.Finally,380 participants were retained after filtering to analyze the correlation between personality and internet behavior,and those who were inactive or closing down their personal homepage on the platform were screened out.Among the 380 participants,266 participants who had 8 Chinese songs at least on personal music charts were used to analyze the relationship between personality and lyrics preference.The average number of Chinese songs was 15.07(SD=3.89).Firstly,the internet behavior data was analyzed.It showed that the personality traits of users were weakly related to their internet behavior on the music platform.The correlation value was between-.10 to.17.There was no significant correlation between neuroticism and any kind of internet behavior.Conscientiousness was found to be negatively correlated to“isSelf-introduction”,a characteristic that describes whether to pre
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