Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2024-04-09
Abstract： In recent years, the Linguistic Inquiry and Word Count (LIWC) tool has garnered increasing attention, offering the promise of objective, automated, and transparent psychological text analysis. This resurgence has reignited enthusiasm among psychologists for language analysis research. The recent revision of the LIWC-22 dictionary has introduced numerous variables aimed at assessing various socio-psychological structures, thus expanding the application potential of the LIWC tool. To further promote the cultural adaptation of the LIWC tool, we have revised and validated the Simplified Chinese Linguistic Inquiry and Word Count Dictionary 2024 (SCLIWC2024) to better align with the features of LIWC-22. In Study One, building upon the SCLIWC dictionary, we revised SCLIWC2024 by comparing it with the LIWC-22 and CLIWC2015 dictionaries. In Study Two, we conducted two experiments to validate the efficacy of SCLIWC2024 in detecting different psychological semantics in online texts, addressing crucial questions regarding how to more effectively utilize SCLIWC2024 for detecting the psychological semantics of short texts on social networking platforms.
Peer Review Status:
Awaiting Review
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： Wuhan lockdown has affected individual psychological status while effectively curbing the epidemic. It is difficult for traditional questionnaire method to acquire individual psychological assessments in large scale timely, which makes it hard to propose time-effective psychological services. In this study, we extracted the linguistic features of Weibo posts from January 20, 2020 to February 16, 2020 among 41 105 active users, and identified the changes of Wuhan citizens’ psychological status nonintrusively. The results indicated that Wuhan citizens have been in a high state of negative emotions such as anxiety, anger, hostility, and disappointment in short term. Meanwhile, the lockdown had induced more fear, psychological pain, and stress experience to some extent. In addition, the lockdown reduced the usage of leisure words and increased the frequency of working words in Wuhan residents’ language expressions. The results suggest that we should take targeted services according to the different negative emotions raised, and arrange long-term service for negative effects of stress, and incorporate online public psychological detection and service into national emergency management system.
Subjects: Psychology >> Developmental Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： In the 20th century, many psychologists who held the “doom and suffering” perspective studied the physical, cognitive, and emotional losses experienced by people in their later years. However, recent theoretical and empirical researches have challenged this generally acknowledged truth from the perspective of the “aging paradox” which recognized the positivity effect of aging on emotional processing. The positivity effect has been observed in cases where older adults preferred positive materials rather than negative materials compared to younger adults in cognitive processing. The second-generation socioemotional selectivity theories incooperated the positivity effect theory, cognitive control hypothesis, and strength and vulnerability integration three theoretical models, which describe the effects of age differences on cognitive and emotional functions and emphasize the potential role of cognitive control in the positive emotional process of older adults. However, the distinction between automatic and controlled cognitive processes depends on the allocation of attentional resources. Therefore, the cognitive control may play an important role in attention processes of positive emotional information among the elderly. In addition, the time course of attention bias may be another key factor associated with positivity effects. Finally, based on these factors accounted for, the attention stage model of cognitive control which would influence the positivity effects of aging was constructed. Future studies could explore Chinese elderly’s emotional attention processing mode, the functional mechanisms of different cognitive control subcomponents, and the treatment quality of attention, to improve the ecological validity of the studies.
Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Modeling psychological indexes (i.e., psych-modeling) is an emerging method that uses machine learning algorithms to identify psychological indexes based on big data. This paper reviews the feasibility of psych-modeling methods based on social media data in the field of psychometrics. Frequently used data types and machine learning algorithms are introduced. Then, we summarize psych-modeling's application to various scenarios together with its strengths and weaknesses. Compared with traditional self-reporting methods, psych-modeling has some advantages, including better performance in retrospective studies, greater ecological validity, and greater time-efficiency. However, psych-modeling has several limitations. For example, researchers need to spend extra time and effort to learn this new method and bear the inevitable cost of hardware. In future studies, researchers could investigate further how user's behavior on social media relates to psychological indexes. We also expect psych-modeling will be used in future psychological studies. By combining psychometrics and machine learning, we believe psych-modeling could make great contributions to psychology research and practice in the future.
Subjects: Psychology >> Applied Psychology submitted time 2020-11-05
Abstract： Modeling psychological indexes (i.e., psych-modeling) is an emerging method that uses machine learning algorithms to identify psychological indexes based on big data. This paper reviews the feasibility of psych-modeling methods based on social media data in the field of psychometrics. Frequently used data types and machine learning algorithms are introduced. Then, we summarize psych-modeling’s application to various scenarios together with its strengths and weaknesses. Compared with traditional self-reporting methods, psych-modeling has some advantages, including better performance in retrospective studies, greater ecological validity, and greater time-efficiency. However, psych-modeling has several limitations. For example, researchers need to spend extra time and effort to learn this new method and bear the inevitable cost of hardware. In future studies, researchers could investigate further how user’s behavior on social media relates to psychological indexes. We also expect psych-modeling will be used in future psychological studies. By combining psychometrics and machine learning, we believe psych-modeling could make great contributions to psychology research and practice in the future.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2020-03-08
Abstract： Personality affects the individual's work and life style, and has important guiding significance for the individual's psychological counseling and career development. Traditional methods use personality scales to evaluate personality scores, which include problems such as individual refusal to answer and blind answering. In recent years, with the development of machine learning, new ideas have been provided for personality recognition. This article uses participants' self-introduction videos and Big Five personality scale scores to obtain different prediction models for different personality dimensions through key point extraction, feature dimension reduction, modeling, and iterative tuning. This article uses participants' self-introduction videos and Big Five personality scale scores to obtain different prediction models for different personality dimensions through key point extraction, feature dimension reduction, modeling, and iterative tuning. The test results show that the personality prediction model based on the self-introduction video is close to or achieves medium correlation in all dimensions, and can provide non-intrusive automatic personality recognition,, which provides new ideas for personality measurement.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Social Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2018-03-15
Abstract： 理清“一带一路”沿线国家或地区的民心特点，并找到有效的合作交往模式，是关系到国家战略实施的重大问题。但是，由于地域辽阔、民族众多，且地缘政治、经济、文化因素（如原苏联影响、欧美国家殖民、宗教传统等）异常复杂，传统的分析方法往往难以奏效。该研究结合文化心理学和大数据分析技术，利用社交媒体Twitter数据来分析“一带一路”沿线国家或地区的自我表征特点（独立性或个人主义），并建立自我表征与社会信任（普遍信任、特殊信任）的预测模型，以探究与“一带一路”沿线国家或地区合作交往的行为模式，即：自我表征是独立，还是互依；人际关系偏好是陌生人之间的普遍信任，还是熟人间的特殊信任。结果表明，“一带一路”沿线国家或地区在自我独立性这一个人主义文化指标上存在较大的变异，且主要受欧美国家殖民历史和当地宗教传统的影响；此外，针对陌生人、外国人的普遍信任与针对家人、熟人的特殊信任，可以通过个人主义指标来预测。总之，“一带一路”沿线的文化是多样的，可以通过社交媒体产生的海量语料库快速计算其个人主义指标，并以此来建立自我表征与社会信任的预测模型。该研究为分析“一带一路”战略区域的“民心”特点、探索当地合作交往的行为模式提供了新的技术路径。
Peer Review Status:Awaiting Review
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