Chen Lucia Lushi, Magdy Walid, Wolters Maria K
School of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Front Psychol. 2020 Apr 21;11:526. doi: 10.3389/fpsyg.2020.00526. eCollection 2020.
Multiple studies suggest that frequencies of affective words in social media text are associated with the user's personality and mental health. In this study, we re-examine these associations by looking at the transition patterns of affect. We analyzed the content originality and affect polarity of 4,086 posts from 70 adult Facebook users contributed over 2 months. We studied posting behavior, including silent periods when the user does not post any content. Our results show that more extroverted participants tend to post positive content continuously and that more agreeable participants tend to avoid posting negative content. We also observe that participants with stronger depression symptoms posted more non-original content. We recommend that transitions of affect pattern derived from social media text and content originality should be considered in further studies on mental health, personality, and social media.
多项研究表明,社交媒体文本中情感词汇的出现频率与用户的个性和心理健康相关。在本研究中,我们通过观察情感的转变模式重新审视这些关联。我们分析了70名成年脸书用户在两个月内贡献的4086篇帖子的内容原创性和情感极性。我们研究了发帖行为,包括用户不发布任何内容的沉默期。我们的结果表明,更外向的参与者倾向于持续发布积极内容,更随和的参与者倾向于避免发布负面内容。我们还观察到,抑郁症状更严重的参与者发布的非原创内容更多。我们建议,在关于心理健康、个性和社交媒体的进一步研究中,应考虑源自社交媒体文本的情感模式转变和内容原创性。