Media is the principal source of public information, and people's trust in news has been a critical mechanism in social cohesion. In recent years, the vast growth of new media has brought huge change to the way information is conveyed, cannibalizing much of the space of traditional media. This has led to renewed attention on media credibility. The study aims to explore the impact of media channel on trust in news and examine the role of news type. Twenty-six participants were (...) asked to make trust–distrust decisions after reading a variety of news headlines from different media channels while undergoing electroencephalography monitoring. The electrophysiological results showed that, for hard news, the new media condition elicited smaller N100 and larger P200 amplitudes than the traditional media condition. However, for soft news, there was no significant difference. The study suggests that the fitness of media channel and news type may influence the evaluation of news, impacting participants' affective arousal and attention allocation in the early stage and influencing trust in news. These results provide neurocognitive evidence of individuals' trust toward hard and soft news consumed via different media channels, yielding new insights into trust in media and contributing to media trust theory. (shrink)

As of the end of October 2020, the cumulative number of confirmed cases of COVID-19 has exceeded 45 million and the cumulative number of deaths has exceeded 1.1 million all over the world. Faced with the fatal pandemic, countries around the world have taken various prevention and control measures. One of the important issues in epidemic prevention and control is the assessment of the prevention and control effectiveness. Changes in the time series of daily new confirmed cases can reflect the (...) impact of policies in certain regions. In this paper, a smooth transition autoregressive model is applied to investigate the intrinsic changes during the epidemic in certain countries and regions. In order to quantitatively evaluate the influence of the epidemic control measures, the sequence is fitted to the STAR model; then, comparisons between the dates of transition points and those of releasing certain policies are applied. Our model well fits the data. Moreover, the nonlinear smooth function within the STAR model reveals that the implementation of prevention and control policies is effective in some regions with different speeds. However, the ineffectiveness is also revealed and the threat of a second wave had already emerged. (shrink)

Humans are born with the ability and the need for affection, but communicating affection as a social behavior is historically bound. Based on the digitized books of Google Ngram Viewer from 1960 through 2008, the present research investigated the affectionate communication (AC) in China and in the US, and its changing landscape along with social changes from collectivist to individualistic environments. In particular, we analyzed the frequency in terms of verbal affection (e.g., love you, like you), non-verbal affection (e.g., hug, (...) kiss), and individualism (indicated by the use of first-person singular pronouns, such as I, me, and myself) in Chinese and in American books. The results revealed a convergent increasing trend of AC over the past decades, although the frequency of affection words was lower in Chinese than in American books. Further, the individualism was found to be positively related to the frequency of affection words in both Chinese and American books. These results demonstrate the effect of cultural changes on AC, in that affection exchange becomes popular in adaptation to individualistic urban environments, which provide the evidence about the cross-cultural difference in love expression and the cultural universality of social change in Eastern and Western societies. (shrink)

This paper aims to explore coevolution of emotional contagion and behavior for microblog sentiment analysis. Accordingly, a deep learning architecture is proposed for the target microblog. Firstly, the coevolution of emotional contagion and behavior is described by the tie strength between microblogs, that is, with the spread of emotional contagion, user behavior such as emotional expression will be affected. Then, based on user interaction and the correlation with target microblog, the Hawkes process is adopted to quantify the tie strength between (...) microblogs so as to build the corresponding weighted network. Secondly, in the weighted network, the Deepwalk algorithm is used to build the sequence representation of microblogs which are similar to the target microblog. Next, a CNN-BiLSTM-Attention network is designed to analyze the sentiment analysis of target and similar microblogs. Finally, the experimental results on two real Twitter datasets demonstrate that the proposed MSA-UITC has advanced performance compared with the existing state-of-the-art methods. (shrink)

本书通过比较研究揭示出,在生存主义哲学和道家思想对人之生存结构的理解方面,存在着深层的共识,这是二者之间展开深度对话的"客观基础".本书分为两大部分,第一部分,包括本研究的第一章和第二章,分别对海德格 尔存在与时间和萨特存在与虚无中的生存主义思想加以呈现,诠释,以期读者能够对生存主义哲学的"标本式"理论有所了解,并为后文的比较研究提供一定的理论铺垫.第三到八章,对道家思想与生存主义思想展开多维比较. 主要围绕"无"在生存结构中的地位和作用来展开,并努力揭示出,生存主义哲学和道家思想在人的"带无生存"这一点上,有着极为醒目的相通之处.然而,在此基础上产生的价值导向,却表现出同样醒目的分梳.通过分析道 家与生存主义哲学思想上重叠性与互补性,可能为融合东西方智慧,尤其是吸收中国传统道家智慧的现代生存哲学理论体系的建立提供一定的思想素材和理论参考.

全书十五讲，包括：游鱼之乐、不二法门、逝者如斯、骚人遗韵、气化宇宙、落花无言、灵的空间、四时之外、以小见大、大巧若拙、华严境界、饮之太和、妙悟玄门、形神之间、颐养情性。.