Spread of Risk Information Through Microblogs: Twitter Users with More Mutual Connections Relay News That is More Dreadful1

In elucidating the spread of risk information through microblogging, it is important to understand the behaviors of numerous average users, in addition to the activities of authorities. We followed the transmission pathways of 10 actual widely spread tweets concerning several risk information topics, including natural disasters, nuclear disasters, and infectious diseases, and we identified the types of risk that affected retweeting by classifying each tweet based on Slovic's risk-perception model. Furthermore, we examined the types of users who did and did not retweet the information. Users with few connections in the form of followers (i.e., people who are following a user) or followees (people a user is following), or with a low ratio of mutual followers within their connections, had a tendency to retweet a large amount of risk information, regardless of the type of risk involved. On the other hand, users with a high ratio of mutual followers exhibited a greater tendency to retweet risk information when it was perceived as dreadful, though they did not retweet risk information much on the whole. These results suggest that there are two mechanisms by which risk information is spread within the Twitter network: information exchange and social sharing of personal reactions.     

Interactive effects of social network centrality and social identification on stress

The present study aimed to integrate the social identity approach to health and well-being with social network analysis. Previous research on the effects of social network centrality on stress has yielded mixed results. Building on the social identity approach, we argued that these mixed results can be explained, in part, by taking into account the degree to which individuals identify with the social network. We hence hypothesized that the effects of social network centrality on stress are moderated by social identification. Using a full roster method, we assessed the social network of first-year psychology students right after the start of their study programme and three months later. The effects of network centrality (betweenness, closeness, eigenvector centrality) and social identification on stress were examined using structural equation models. As predicted, our results revealed a significant interaction between network centrality and social identification on stress: For weakly or moderately identified students, network centrality was positively related to stress. By contrast, for strongly identified students, network centrality was unrelated to stress. In conclusion, our results point to the perils of being well-connected yet not feeling like one belongs to a group.     

被动性社交网站使用与青少年体像烦恼的关系:体像比较和体像自我差异的中介作用

为探讨被动性社交网站使用和青少年体像烦恼的关系,基于社会比较理论和自我差异理论,采用被动性社交网站使用问卷、社交网站体像比较量表、理想体像问卷和体像烦恼量表,对789名初、高中生进行调查。结果表明：（1）被动性社交网站使用对青少年体像烦恼具有显著的正向预测作用;（2）体像比较和体像自我差异能在被动性社交网站使用和体像烦恼的关系中起中介作用;（3）在被动性社交网站使用与体像烦恼的关系中,女生的体像比较和体像自我差异起并行中介作用,而对男生而言,体像比较和体像自我差异起链式中介作用。研究结果表明被动性社交网站使用不仅能直接影响青少年的体像烦恼,还可通过体像比较和体像自我差异的间接作用对青少年体像烦恼产生影响,且中介路径存在性别差异。     

右侧颞顶联合区及道德加工脑网络的功能连接预测社会性框架效应：来自静息态功能磁共振的证据

社会性框架效应指个体进行社会性决策时, 描述方式(即框架)对其选择倾向的影响。采用“伤害/帮助框架”范式, 本研究在行为上发现了显著的框架效应：被试在伤害框架下比帮助框架下, 更倾向于选择利他选项, 这可能是由于伤害框架凸显了伤害他人的后果及有意性, 从而提高了道德冲突水平。在神经活动上发现(1)静息态下, 右侧颞顶联合区(TPJ)的低频振荡振幅(ALFF)与框架效应强度存在显著正相关; (2)道德加工相关脑区构成的局部脑网络内部的功能连接强度(FC)能够有效预测框架效应强度。本研究首次利用静息态功能连接探讨个体的社会性决策受到语言表述方式影响的神经机制, 为进一步揭示社会决策中的个体差异提供了神经学证据。     

自发性知觉经络反应中产生刺麻感和积极情绪的原因

自发性知觉经络反应(autonomous sensory meridian response,ASMR)是指在特定的视听刺激下,某些个体(ASMR敏感个体)在头皮后部、颈部乃至全身体验到一种令人极度愉快和放松的刺麻感的现象。其中,刺麻感的产生可能是个体大脑中负责感觉和肌肉运动的脑区高度激活引起的; 而与情绪和奖赏有关脑区的高度激活以及心率和呼吸频率的下降可能是产生愉快和放松感的重要原因。相比普通个体,ASMR敏感个体具有较高的神经质、共情特质、感觉受暗示性和特质正念。这可能说明ASMR敏感个体的感觉敏感性较高,情绪稳定性较弱,且比较关注自己身体的内外感受。这些个性特质可能导致ASMR敏感个体对某些视听刺激中所包含的一些感觉和情绪信息更加敏感,对其反应也更加强烈。目前,ASMR已经被用于抑郁,压力,失眠和慢性疼痛等的临床治疗以及商业广告之中。但ASMR可能会干扰个体的执行功能,在认知控制需求较高的情景下应尽量避免接触ASMR刺激。     

Different level automation technology acceptance: Older adult driver opinion

The increase in the number of older adult drivers in developed countries has raised safety concerns due to the decline in their sensory, motor, perceptual, and cognitive abilities which can limit their driving capabilities. Their driving safety could be enhanced by the use of modern Automated Driver Assistance Systems (ADASs) and might totally resolved by full driving automation. However, the acceptance of these technologies by older adult drivers is not yet well understood. Thus, this study investigated older adult drivers’ intention to use six ADASs and full driving automation through two questionnaires with 115 and 132 participants respectively in Rhode Island, USA. A four-dimensional model referred to as the USEA model was used for exploring older adult drivers’ technology acceptance. The USEA model included perceived usefulness, perceived safety, perceived ease of use, and perceived anxiety. Path Analysis was applied to evaluate the proposed model. The results of this study identified the important factors in older adult drivers’ intention to use ADASs and full driving automation, which could assist stakeholders in improving technologies for use by older drivers.     

An adaptive network model covering metacognition to control adaptation for multiple mental models

Learning processes can be described by adaptive mental (or neural) network models. If metacognition is used to regulate learning, the adaptation of the mental network becomes itself adaptive as well: second-order adaptation. In this paper, a second-order adaptive mental network model is introduced for metacognitive regulation of learning processes. The focus is on the role of multiple internal mental models, in particular, the case of visualisation to support learning of numerical or symbolic skills. The second-order adaptive network model is illustrated by a case scenario for the role of visualisation to support learning multiplication at the primary school.     

基于网络理论的物质成瘾新视角

物质成瘾是一种涉及生理、心理和环境等多因素的复杂现象, 但是当前基于生物还原论的解释对物质成瘾现象整体性的理解和康复研究造成了阻碍。网络理论聚焦于心理障碍变量之间相互作用形成的反馈环路, 从整体视角为研究物质成瘾提供了新的理论框架。将网络理论应用于物质成瘾的研究中将有利于:(1)理解症状之间的相互关系和影响; (2)理解症状网络的整体性和系统性动态变化过程; 以及(3)将多层次和多水平因素整合到统一的理论框架中。从网络理论视角来理解物质成瘾, 也将对未来的干预和治疗提供了理论支持。目前, 网络理论仍处于言语模型阶段, 未来需要进一步提出更具体、可验证的统计模型, 以完善对于物质成瘾机制的了解, 更加有效地推进物质成瘾的治疗与恢复。     

Sex differences in the perceived causal structure of date rape: A preliminary report

The present study examines the perceived causes of date rape by the use of network analysis. The 142 subjects in the study were presented with grids containing 9 causes listed by row and column. They were asked to indicate if they belived there was a causal link between each of the 72 causal pairings. The resulting network placed emphasis on male and female drunkenness, norms of dating, and society's attitude to date rape as distal causes of date rape. Misunderstanding of behavior by men, male attitude that date rape is unimportant, and need by males for dominance were seen as proximal causes. Further networks for each sex were constructed: these showed clear division of opinion on the causes of date rape. © 1995 Wiley-Liss, Inc.