• Classical Chinese LIWC: A Brief Introduction and Pilot Analysis

    Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2019-12-20

    Abstract: [Background] Based on counting frequency of specially selected words, LIWC (known as Linguistic Inquiry and Word Count) is a useful tool to analyze expressions of writings or other texts created by individuals or group, for purpose of figuring out the psychological meanings inside the texts. In ancient China, the classical style of writing has a striking difference with modern times. In order to analyze the psychological meanings of classical Chinese text, we construct a Classical Chinese version of LIWC dictionary (known as CC-LIWC), based on the 2015 edition of Simplified Chinese LIWC (known as SC-LIWC). [Objective] In this paper, we show the constructing process of CC-LIWC and give an example of how to use the dictionary to analyze classical Chinese text. [Methods] First, we obtain all the words (including modern Chinese and Classical Chinese words) and their corresponding explanations from the online Chinese dictionary and keep the classical Chinese words with their modern translation; second, we search SC-LIWC words in the explanations. In this way, SC-LIWC words are mapping with the classical Chinese words; finally, we invite ancient Chinese based professionals to check the mapping results manually to ensure the consistency and accuracy of the results. [Results] The final dictionary includes 81 categories and 49136 classical Chinese entries. [Limitations] In classical Chinese context, polysemy or diversity of a word is very common, which affects the classification of words in the dictionary. [Conclusion] we use CC-LIWC to analyze The Analects(excerpts) and The Isolated Indignation. The result shows the difference between the moderation of Confucian and the dialectical thinking of Legalist. Therefore, CC-LIWC dictionary can distinguish the expression tendency of text efficiently.

  • 基于微博大数据分析时间取向与主观幸福感的关系

    Subjects: Psychology >> Applied Psychology submitted time 2019-01-21

    Abstract: 人们在思考或行动上所偏好的时间方向在一定程度上影响行为,而行为会影响生活状态,据此我们希望探讨时间取向与人的主观幸福感是否有关。本研究利用微博大数据,收集了2010至2017年共64160名活跃用户的微博,通过关键词提取以及数据分析发现,主观幸福感与未来词频之间存在中等强度的相关(r = 0.404, p < 0.01),与现在词频及过去词频之间呈弱相关;将用户按时间取向词频分组后,高词频组的主观幸福感显著高于低词频组(t = 67.442 , p < 0.001),同时我们也发现了主观幸福感与时间取向词频均有逐年下降的趋势。研究结果说明未来时间取向可作为主观幸福感的预测指标,本研究为利用微博大数据预测心理健康提供了新的方向。

  • Using social media to explore the psychological features of the female adults with childhood sexual abuse

    Subjects: Psychology >> Social Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2018-05-21

    Abstract:

    [Background] The adverse effects of childhood sexual abuse experience on female physical and psychological health are enduring. However, few studies have focused on the psychological   characteristics of this group when they grew up.

    [Objective] The purpose of this study was to explore the difference in psychological characteristics including social attitudes, well-being, and mental health between the females with sexual abuse experience in childhood (CSA group) and females without this experience (control group) based on the microblogging data calculation model.

    [Methods] This study collected 46 victims (all females) and 46 non-victims (sex matching with CSA group) on Sina Weibo, crawled all the microblogs of the selected users and and calculate its score on various psychological characteristics by microblogging data calculation model.

    [Results] Using independent sample t-test, the results showed that there were significant differences in social attitudes, well-being, and especially mental health. At the same time, we also found that there were differences in microblog behavior characteristics between the two groups. Compared with non-victims, the victims had higher scores in depression, stress and other health characteristics, and lower scores in psychological characteristics such as life satisfaction and self-acceptance. However, they did not reach the critical thresholds for the diagnosis of mental diseases.

    [Limitations] The psychological features obtained from microblogging data calculation model can not completed equivalent to the psychological features obtained from psychological scales and can not replace the rigid psychological measurement.

    [Conclusion] The childhood sexual abuse experience has negative effect on female. However, this effect is not sufficient to meet the threshold criteria for mental illness.

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