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11.
Political polarization remains perhaps the “greatest barrier” to effective COVID-19 pandemic mitigation measures in the United States. Social media has been implicated in fueling this polarization. In this paper, we uncover the network of COVID-19 related news sources shared to 30 politically biased and 2 neutral subcommunities on Reddit. We find, using exponential random graph modeling, that news sources associated with highly toxic – “rude, disrespectful” – content are more likely to be shared across political subreddits. We also find homophily according to toxicity levels in the network of online news sources. Our findings suggest that news sources associated with high toxicity are rewarded with prominent positions in the resultant network. The toxicity in COVID-19 discussions may fuel political polarization by denigrating ideological opponents and politicizing responses to the COVID-19 pandemic, all to the detriment of mitigation measures. Public health practitioners should monitor toxicity in public online discussions to familiarize themselves with emerging political arguments that threaten adherence to public health crises management. We also recommend, based on our findings, that social media platforms algorithmically promote neutral and scientific news sources to reduce toxic discussion in subcommunities and encourage compliance with public health recommendations in the fight against COVID-19. 相似文献
12.
Social Networking Sites (SNSs) play an important role in our daily lives and the number of their users increases regularly. To understand how users can be satisfied in the complex digital environment of SNSs, this study examines how motivations and emotions combine with each other to explain high satisfaction. Users’ motivations comprise four attributes, entertainment, information, social-psychological, and convenience. Emotions are divided into their two main categories, that is positive and negative emotions. We draw on complexity and configuration theories, present a conceptual model along with propositions and perform a fuzzy-set qualitative comparative analysis (fsQCA). Through an empirically study with 582 SNSs users, we present eight combinations (configurations) of motivations and emotions that lead to high satisfaction, which highlight the role of high convenience, followed by entertainment and information motivations in being satisfied with SNSs. High satisfaction can be achieved both when positive and negative emotions are high and low, depending on how they combine users’ motivations. None of the factors are indispensable to explain high satisfaction on their own, instead they are insufficient but necessary parts of the causal combinations that explain high satisfaction. This study contributes in SNSs literature by extending current knowledge on how motivations and emotions combine to increase satisfaction, and by identifying specific patterns of users for whom these factors are important and influence greatly their satisfaction. 相似文献
13.
This study examined the extent to which maltreatment history and the characteristics of out-of-home care correlated with the language and social skills of maltreated children. Participants in this study were 82 maltreated children aged between 5 and 12 years of age. All children were residing with state-designated carers in out-of-home-care. The children were presented with standardised tests assessing language and social skills. Results showed that the sample performed significantly below the normative mean on both tests. Correlation analyses showed social skills, but not language skills were correlated with aspects of maltreatment history. The education level of the state-designated carer/s was correlated with the children's language skills; higher education level was associated with higher language skills. The study provides evidence that at the group level, language and social skills are poor in maltreated children. However, gains in language skills might be made via the out-of-home-care environment. Improvements in the social skills of maltreated children may require additional support. 相似文献
14.
Chih-yu Shih 《Inter-Asia Cultural Studies》2018,19(1):40-57
The notion of post-Chineseness is enlisted to analyze Vietnamese Sinology as a comparative agenda. Post-Chineseness refers to the cultural preparation and the political process of mutual acknowledgement among those who consider one another sharing (some kind of) Chineseness, practically defined according to the context and its trajectories, at each time and each site. Chineseness can thus have various, if not entirely irrelevant, meanings. Vietnamese Sinologists have relied on different kinds of post-Chineseness to make sense of their relationship with the encountered Chinese to select and determine the mode of self-understanding, the purpose and a strategy to reconnect, and the normative criterion to assess and manage the relationship. Chinese Vietnamese are significantly less numerous than Chinese Malaysian, Thai, and Indonesians. However, the history of Vietnam is considerably closer to China than are those of Korea and Japan, in terms of length of merger. The post-Chineseness of Vietnamese scholarship therefore complicates its role-identity vis-à-vis China, intellectually as well as practically. 相似文献
15.
Pasquale Del Vecchio Gioconda Mele Valentina Ndou Giustina Secundo 《Information processing & management》2018,54(5):847-860
This paper aims to demonstrate how the huge amount of Social Big Data available from tourists can nurture the value creation process for a Smart Tourism Destination. Applying a multiple-case study analysis, the paper explores a set of regional tourist experiences related to a Southern European region and destination, to derive patterns and opportunities of value creation generated by Big Data in tourism. Findings present and discuss evidence in terms of improving decision-making, creating marketing strategies with more personalized offerings, transparency and trust in dialogue with customers and stakeholders, and emergence of new business models. Finally, implications are presented for researchers and practitioners interested in the managerial exploitation of Big Data in the context of information-intensive industries and mainly in Tourism. 相似文献
16.
Sangwon Lee Taehyun Ha Daeho Lee Jang Hyun Kim 《Information processing & management》2018,54(6):1115-1128
Majority opinions are often observed in the process of social interaction in online communities, but few studies have addressed this issue with empirical data. To identify an appropriate theoretical lens for explaining majority opinions in online environments, this study investigates the skewness statistic, which indicates how many “Likes” are skewed to major comments on a Facebook post; 3489 posts are gathered from the New York Times Facebook page for 100 days. Results show that time is not an influential factor for skewness increase, but the number of comments has a logarithmic relation to skewness increase. Regression models and Chow tests show that this relationship differs depending on topic contents, but majority opinions are significant in overall. These results suggest that the bandwagon effect due to social affordance can be a suitable mechanism for explaining majority opinion formation in an online environment and that majority opinions in online communities can be misperceived due to overestimation. 相似文献
17.
运用问卷调查、访谈、现场实测、逻辑分析等研究方法,对我国校园迷你棒球课程人文优势和内容架构进行探讨。研究结果表明学生对我国校园棒球人文底蕴和内涵优势较认可;迷你棒球课程极易开展,娱乐性、趣味性和安全性高,锻炼价值和教育功能强,值得学校社会推广。新时期迷你棒球课程对促进学生德智体美全面发展和培养特长爱好、满足学生个体差异需求和促进一带一路沿线文化交流以及开拓师生国际视野、汲取世界优秀体育人文思想有较高社会价值和现实意义。 相似文献
18.
青少年体育健康问题上升国家战略高度。“青少年体育健康公共服务”是一个在青少年体育领域内,由“体育健康”和“体育公共服务”综合而成的全新概念,学界还未深入探讨与挖掘。充分结合“健康管理”理论,基于对“青少年体育健康”和“体育公共服务”相关研究文献的回顾,归纳“青少年体育健康公共服务”内涵与特征。概念特征包括:“学校体育”“青少年体育俱乐部”是核心供给主体;健康医疗等事业、非营利性机构是重要支撑;始终强调青少年受众被动接受“体育健康促进”与主动应用“体育健康素养”相结合;供给产品具有“纯公共物品”性质,公共财政补贴是解决公共服务资源配置矛盾关键方式;“互联网虚拟社区”是实现多元主体协同供给的技术基础与激励条件。最后,基于概念属性展望“青少年体育健康公共服务”的未来研究趋势,包括:开发“运动干预”“心理调试”和“营养膳食”三维评估指标体系;完善“学校”“社区”“医疗部门”“健康管理机构”和“家庭”的协同供给机制;深度开发“青少年体育俱乐部”和“青少年联赛体系”营造“体育健康素养培育”空间;实现“青少年体育健康公共服务”均等化局限,以及加快“青少年体育健康公共服务”互联网平台建设,破解公共服务资源闲置问题。 相似文献
19.
Simona Balbi Michelangelo Misuraca Germana Scepi 《Information processing & management》2018,54(4):674-685
Web 2.0 allows people to express and share their opinions about products and services they buy/use. These opinions can be expressed in various ways: numbers, texts, emoticons, pictures, videos, audios, and so on. There has been great interest in the strategies for extracting, organising and analysing this kind of information. In a social media mining framework, in particular, the use of textual data has been explored in depth and still represents a challenge. On a rating and review website, user satisfaction can be detected both from a rating scale and from the written text. However, in common practice, there is a lack of algorithms able to combine judgments provided with both comments and scores. In this paper we propose a strategy to jointly measure the user evaluations obtained from the two systems. Text polarity is detected with a sentiment-based approach, and then combined with the associated rating score. The new rating scale has a finer granularity. Moreover, also enables the reviews to be ranked. We show the effectiveness of our proposal by analysing a set of reviews about the Uffizi Gallery in Florence (Italy) published on TripAdvisor. 相似文献
20.
Lesly Alejandra Gonzalez Camacho Solange Nice Alves-Souza 《Information processing & management》2018,54(4):529-544
Recommender Systems are currently highly relevant for helping users deal with the information overload they suffer from the large volume of data on the web, and automatically suggest the most appropriate items that meet users needs. However, in cases in which a user is new to Recommender System, the system cannot recommend items that are relevant to her/him because of lack of previous information about the user and/or the user-item rating history that helps to determine the users preferences. This problem is known as cold-start, which remains open because it does not have a final solution. Social networks have been employed as a good source of information to determine users preferences to mitigate the cold-start problem. This paper presents the results of a Systematic Literature Review on Collaborative Filtering-based Recommender System that uses social network data to mitigate the cold-start problem. This Systematic Literature Review compiled the papers published between 2011–2017, to select the most recent studies in the area. Each selected paper was evaluated and classified according to the depth which social networks used to mitigate the cold-start problem. The final results show that there are several publications that use the information of the social networks within the Recommender System; however, few research papers currently use this data to mitigate the cold-start problem. 相似文献