Abstract: Due to the impact of the coronavirus disease 2019, the winter vacation of China in 2020 has been extended by more than three months compared to the normal Spring Festival winter vacation. Compared with the previous winter vacation, in this long winter vacation, in addition to the students being forced to stay at home and unable to go to school, their parents are also forced to stay at home, unable to go to work or work. For students, holidays are extended, staying at home for a long time and reducing going out, normal school learning and social activities are restricted, which may affect their studies and increase anxiety and depression; for parents of students, it is impossible to carry out normal activities. Social work and work may also affect the family’s income and produce negative psychological reactions. Adolescents stay at home with their parents for a long time, and they are often accompanied by anxiety, depression, and high pressure in academic, economic, and health aspects. What kind of changes may these factors change the characteristics of parent-child conflict in the family? The long vacation caused by the epidemic provides a special space-time field for the study of parent-child conflict. Therefore, a combination of big data technology and qualitative analysis methods is used to explore the characteristics of parent-child conflict during the epidemic. Use Python3.8 to write a program, and enter keywords and time in the program before the program runs. In order to make keywords more accurately reflect the content of "parent-child conflict", the researchers searched the China National Knowledge Network (CNKI) for documents with the theme of "parent-child conflict". A total of 1812 documents were retrieved, and different keywords were calculated. The frequency of occurrences in all the papers is finally determined as the high-frequency keywords: parent-child conflict; junior high school students; high school students; adolescents; parental conflicts; parents; conflicts. These seven keywords are cross-matched and used as keywords for crawling the Weibo platform to obtain the original data. The time interval is from January 23, 2020 to February 23, 2020, which is one month after Wuhan is closed. After entering the keywords and time interval, the original information was crawled out, and the Weibo content that was irrelevant to the research and repetitive was deleted, and finally 286 Weibo texts with a total of 104,993 words were determined. Then, perform qualitative analysis on the original data extracted by crawling, that is, perform three-level coding, which are open coding, main axis coding and selective coding. Finally, the validity test is performed on the encoded results. Results: During the epidemic, parent-child conflicts mainly have four characteristics: conflict triggers, conflict types, conflict areas, and conflict management strategies. Conclusion: In terms of the causes of parent-child conflicts, this study found that family relationships, social culture, and individual psychophysiology are the causes of parent-child conflicts among adolescents; in terms of parent-child conflict types, this study found that adolescents and their parents are most likely to have emotional conflicts during the epidemic, followed by Conflicts of ideas, speech and behavior; this study found that although teenagers have more conflicts with their parents, both parents and children still adopt active management strategies to solve problems, but there are still some teenagers who have conflicts with their parents and both sides adopt negative management strategies. Problem-solving management strategies; in the field of parent-child conflict, this study found that teenagers and their parents often occur in entertainment activities, living habits, studies, and interpersonal relationships. Finally, based on the above conclusions, this study believes that parent-child conflicts during the epidemic are due to minor events in parent-child life that cause family dysfunctions, and adolescents’ cognition of parent-child conflicts is restricted by the parent-child attachment relationship and parent-child emotional intensity. Active problem-solving strategies can help establish a good parent-child relationship.

Key words: COVID-19, parent-child conflict, adolescent, big data, qualitative research

摘要： 采用大数据技术与质性分析相结合的方式，探索疫情期间青少年长时间与父母相处的条件下，亲子冲突的演变特征。方法：利用Python3.8编写程序，以“亲子冲突、初中生、高中生、青少年、冲突、父母、与父母冲突”等为关键词在微博平台上搜索个人发布的内容，经数据整理，选择286条微博文本纳入文本分析，用NVivo12质性分析软件辅助编码。结果：亲子冲突的表达包含了冲突诱因、冲突类型、冲突领域，和冲突管理策略等四个方面的特征。结论：研究建构了冲突诱因、冲突领域、冲突类型和冲突应对策略之间的关系模型。亲子冲突的发生是在社会文化背景下，由于家庭功能失调引发的亲子互动方式异常。亲子冲突发生以后，取积极应对策略有助于家庭功能的良性调节。

关键词: 新冠疫情, 亲子冲突, 青少年, 大数据, 质性研究