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Emotional attitudes towards procrastination in people: A large-scale sentiment-focused crawling analysis

机译:对人们拖延的情感态度:一个大规模的情绪集中爬行分析

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Procrastination has been increasingly becoming the most prevailing behavior in humans globally. However, how we regard procrastination still remains ambiguous. Thus, the major purpose of this study is to identify people's emotional attitudes towards procrastination. Further, we also aim to clarify the potential role of such sentiments to procrastination. Using the domain-focus web crawling in social medias including Facebook, Twitter, Sina Weibo and Baidu Tieba, in conjunction with theory-driven data source theory, 5,613,807 users and resultant 18,809,276 original posts were scraped. Then, sentiment-focus analysis embodied in the natural language processing (NLP) algorithm was performed to quantify emotional attitudes. Results substantiated our hypothesis heavily by showing that procrastination was evaluated as negative behavior significantly. Further, significant interactions of age x gender and gender x education were found for people's negative emotions towards procrastination, showing more negative emotional attitudes towards procrastination in educated-less males. Ultimately, predictive role of such sentiments to procrastination was proven in the longitudinal mixed model. This study provides robust evidence to clarify the negative emotional attitudes towards procrastination in people, and further sheds light on the predictive role of such sentiments for it.
机译:拖延越来越多地成为全球人类中最普遍的行为。但是,我们如何将拖延仍然含糊不清。因此,本研究的主要目的是识别人们对拖延的情绪态度。此外,我们还旨在澄清这种情绪对拖延的潜在作用。在包括Facebook,Twitter,新浪微博和百度铁路在内的社交媒体中使用域 - 焦点网络爬行,与理论驱动的数据源理论一起,5,613,807个用户和合成的18,809,276个原始帖子被刮擦。然后,进行了自然语言处理(NLP)算法中体现的情感 - 焦点分析以量化情绪态度。结果通过表明拖延显着评价了拖延,促使拖延被评价为消极行为。此外,针对人们对拖延的负面情绪发现,年龄X性别和性别X教育的重大相互作用,对受过教育的男性的拖延显示出更多的负面情绪态度。最终,在纵向混合模型中证明了这种情绪对拖延的预测作用。本研究提供了强大的证据,以澄清对人们拖延的负面情绪态度,进一步阐明了这种情绪的预测作用。

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