通过语言和行为的镜头在线社交媒体上的精神障碍：分析和可视化
Mental Disorders on Online Social Media Through the Lens of Language and Behaviour: Analysis and Visualisation
摘要：
由于互联网的全球可访问性以及移动技术的不断进步，物理和数字世界已经完全融合，社交媒体平台的激增在这一演变中发挥了主导作用。在本文中，我们进行了全面的分析，以更好地可视化和理解影响和区分受精神障碍影响的社交媒体用户的因素。我们进行了不同的实验，研究语言的多个维度，包括词汇独特性，词汇使用，语言风格，心理测量属性，情感的共现模式，以及在线行为特征，包括社会参与和发布趋势。我们的研究结果显示，在使用功能词，如副词和动词时态，和特定主题的词汇，如生物过程的显着差异。至于情绪表达，我们观察到受影响的用户平均比控制组更经常分享情绪。整体而言，受影响组别的每月过帐差异高于对照组别。此外，我们发现有证据表明，与其他限制较少的平台相比，微博平台上的语言使用对于患有精神障碍的用户来说更难区分。特别是，与Reddit相比，我们在Twitter上观察到受影响组和对照组之间的可量化差异较少。
英文摘要：
Due to the worldwide accessibility to the Internet along with the continuous advances in mobile technologies, physical and digital worlds have become completely blended, and the proliferation of social media platforms has taken a leading role over this evolution. In this paper, we undertake a thorough analysis towards better visualising and understanding the factors that characterise and differentiate social media users affected by mental disorders. We perform different experiments studying multiple dimensions of language, including vocabulary uniqueness, word usage, linguistic style, psychometric attributes, emotions' co-occurrence patterns, and online behavioural traits, including social engagement and posting trends. Our findings reveal significant differences on the use of function words, such as adverbs and verb tense, and topic-specific vocabulary, such as biological processes. As for emotional expression, we observe that affected users tend to share emotions more regularly than control individuals on average. Overall, the monthly posting variance of the affected groups is higher than the control groups. Moreover, we found evidence suggesting that language use on micro-blogging platforms is less distinguishable for users who have a mental disorder than other less restrictive platforms. In particular, we observe on Twitter less quantifiable differences between affected and control groups compared to Reddit.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
