College of General Education, Kookmin University, 801 Bugak Hall, 77 Jeongneung-ro, Seongbuk-gu, 02707, Seoul, South Korea.
BMC Psychol. 2024 Apr 25;12(1):233. doi: 10.1186/s40359-024-01709-6.
Organizational accounts of social networking sites (SNSs) are similar to individual accounts in terms of their online behaviors. Thus, they can be investigated from the perspective of personality, as individual accounts have been in the literature. Focusing on startups' Instagram accounts, this study aimed to investigate the characteristics of Big Five personality traits and the relationships between the traits and the characteristics of photos in organizational SNS accounts.
The personality traits of 108 startups' accounts were assessed with an online artificial intelligence service, and a correspondence analysis was performed to identify the key dimensions where the account were distributed by their personality. Photo features were extracted at the content and pixel levels, and correlational analyses between personality traits and photo features were conducted. Moreover, predictive analyses were performed using random forest regression models.
The results indicated that personality of the accounts had high openness, agreeableness, and conscientiousness and moderate extraversion and neuroticism. In addition, the two dimensions of high vs. low in neuroticism and extraversion/openness vs. conscientiousness/agreeableness in the accounts' distribution by their personality traits were identified. Conscientiousness was the trait most associated with photo features-in particular, with content category, pixel-color, and visual features, while agreeableness was the trait least associated with photo features. Neuroticism was mainly correlated with pixel-level features, openness was correlated mainly with pixel-color features, and extraversion was correlated mainly with facial features. The personality traits, except neuroticism, were predicted from the photo features.
This study applied the theoretical lens of personality, which has been mainly used to examine individuals' behaviors, to investigate the SNS communication of startups. Moreover, it focused on the visual communication of organizational accounts, which has not been actively studied in the literature. This study has implications for expanding the realm of personality research to organizational SNS accounts.
社交网站 (SNS) 的组织账户在其在线行为方面与个人账户相似。因此,它们可以从个性的角度进行研究,就像文献中对个人账户的研究一样。本研究聚焦于初创公司的 Instagram 账户,旨在调查五大性格特征的特点,以及这些特征与组织 SNS 账户中照片特征之间的关系。
使用在线人工智能服务评估了 108 个初创公司账户的人格特质,通过对应分析确定了根据人格特质分布的账户的关键维度。从内容和像素两个层面提取照片特征,并对人格特质和照片特征之间进行相关性分析。此外,还使用随机森林回归模型进行预测分析。
结果表明,账户的人格特质具有较高的开放性、宜人性和尽责性,以及适度的外向性和神经质。此外,还确定了账户人格特质分布的两个维度:神经质和外向性/开放性与尽责性/宜人性的高低。尽责性是与照片特征最相关的特质,尤其是与内容类别、像素颜色和视觉特征相关,而宜人性是与照片特征最不相关的特质。神经质主要与像素层面的特征相关,开放性主要与像素颜色特征相关,外向性主要与面部特征相关。除神经质外,人格特质可以从照片特征中预测。
本研究应用了主要用于研究个体行为的人格理论视角,调查了初创公司的 SNS 沟通。此外,本研究还关注了组织账户的视觉沟通,这在文献中尚未得到积极研究。本研究对于将人格研究领域扩展到组织 SNS 账户具有重要意义。