Hybrid Recommender System Incorporating Weighted Social Trust and Item Tags

With the rapid development of social network in recent years, a huge number of social information has been produced. As traditional recommender systems often face data sparsity and cold-start problem, the use of social information has attracted many researchers' attention to improve the prediction accuracy of recommender systems. Social trust and social relation have been proven useful to improve the performance of recommendation. Based on the classic collaborative filtering technique, we propose a PCCTTF recommender method that takes the rating time of users, social trust among users, and item tags into consideration, then do the item recommending. Experimental results show that the PCCTTF method has better prediction accuracy than classical collaborative filtering technique and the state-of-the-art recommender methods, and can also effectively alleviate data sparsity and cold-start problem. Furthermore, the PCCTTF method has better performance than all the compared methods while counting against shilling attacks.

Effect of Artificial Intelligence on Social Trust in American Institutions

In recent decades,social scientists have debated declining levels of trust in American institutions.At the same time,many American institutions are coming under scrutiny for their use of artificial intelligence(AI)systems.This paper analyzes the results of a survey experiment over a nationally representative sample to gauge the effect that the use of AI has on the American public’s trust in their social institutions,including government,private corporations,police precincts,and hospitals.We find that artificial intelligence systems were associated with significant trust penalties when used by American police precincts,companies,and hospitals.These penalties were especially strong for American police precincts and,in most cases,were notably stronger than the trust penalties associated with the use of smartphone apps,implicit bias training,machine learning,and mindfulness training.Americans’trust in institutions tends to be negatively impacted by the use of new tools.While there are significant variations in trust between different pairings of institutions and tools,generally speaking,institutions which use AI suffer the most significant loss of trust.American government agencies are a notable exception here,receiving a small but puzzling boost in trust when associated with the use of AI systems.

Temporal Dynamics in Social Trust Prediction

Inferring unknown social trust relations attracts increasing attention in recent years. However, social trust, as a social concept, is intrinsically dynamic, and exploiting temporal dynamics provides challenges and opportunities for social trust prediction. In this paper, we investigate social trust prediction by exploiting temporal dynamics. In particular, we model the dynamics of user preferences in two principled ways. The first one focuses on temporal weight; the second one targets temporal smoothness. By incorporating these two types of temporal dynamics into traditional matrix factorization based social trust prediction model, two extended social trust prediction models are proposed and the cor- responding algorithms to solve the models are designed too. We conduct experiments on a real-world dataset and the results dem- onstrate the effectiveness of our proposed new models. Further experiments are also conducted to understand the importance of temporal dynamics in social trust prediction.

Antecedents of Social Network Trust in SNS Usage: The Moderating Role of Offline Familiarity

With the rapid development of social networks, there is a focus on marketing strategies and business models that are based on social media. In the academic world, scholars believe that online trust is a key factor contributing to online purchasing behavior. This article explored several factors in social media trust and verified the moderating role of offline familiarity by using relevant research on online trust in conjunction with a structure equation model. The results show that independent variables such as reputation, SNS interaction, information quality, reciprocity, satisfaction and shared values have a positive influence on trust, whereas perceived similarity does not, and information quality is the most important factor. In addition, offline familiarity significantly moderates the relations between information quality, reciprocity, reputation, shared values and social media trust. This information is important to assist companies in developing an effective social network marketing strategy.

A Trust Evaluation Model for Social Commerce Based on BP Neural Network

Recent years we have witnessed the rapid growth of social commerce in China, but many users are not willing to trust and use social commerce. So improving consumers’ trust and purchase intention has become a crucial factor in the success of social commerce. Business factors, environment factors and social factors including twelve secondary indexes build up a social commerce trust evaluation model. Questionnaires are handed out to collect twelve secondary indexes scores as input of BP neural network and composite score of trust as output. Model simulation shows that both training samples and test samples have low level of average error and standard deviation, which certify that the model has good stability and it is a good method for evaluating social commerce trust.

社交媒体健康信息用户信任形成机理研究

[目的/意义]在公共卫生事件频发的背景下,国民对健康信息需求急剧增长。社交媒体作为用户信息获取的重要途径之一,在高效传播健康信息的同时,也为虚假健康信息的产生和传播提供便利条件。随着社交媒体渗透力和影响力不断扩大,用户对健康信息的不确定感愈发强烈。鉴于此,本文对社交媒体健康信息用户的信任形成机理进行探索,以期为后续相关研究提供参考和借鉴。[方法/过程]解构社交媒体健康信息用户信任形成的要素,建构面向用户感知过程的信任综合框架,从用户、信息和环境3个方面提出社交媒体健康信息用户信任理论假设模型,并对结构模型进行修正。[结果/结论]研究从理论层面明晰社交媒体健康信息用户感知信任过程以及用户心理变化的进程。研究还发现热评情感极性、涉入度、信源可信度、冲突解决对信任存在显著的正向影响。信任对采纳意愿存在显著的正向影响。参照群体规范对采纳意愿存在显著的正向影响。此外,信任分别在热评情感极性、涉入度、信源可信度和冲突解决与信息采纳意愿之间起到完全中介作用。

Building Long-term Mechanism of Water Conservancy Development Based on Trust in Rural Communities

Current situations of water conservancy development in China include:there is serious water shortage and pollution;total water reservoir capacity is large but most are dangerous reservoirs;water is widely distributed and directly serves the masses;business is comprehensive and many fields are involved;projects include public welfare and operating types;great regional difference and problems are varied;utilization methods are extensive and water environment is vulnerable.Based on these situations,this paper analyzes the public goods feature of water resource facilities and management mechanism,and points out that water conservancy development should not merely depend on the market force.Then,it discusses that the influence and trust of transformation period on the whole social members are requirements of new harmonious rural communities,and expounds the necessity of trust for building long-term mechanism for water conservancy development.Finally,it presents policy suggestions:trust is closely connected with benefits of every person,thus developing community trust should begin with every individual;building long-term mechanism for water conservancy development should rely on cultivating highly trust-based rural community shared values.

Infectious diseases and interpersonal trust: international evidence

The objective of this paper is to investigate the relationship between infectious disease and trust, hypothesizing a negative relationship. In- terpersonal trust is defined as the aggregate response that fellow citizens are trustworthy. We explore stigma as a channel in the relationship. We apply cross-country regression analysis on a sample of 54 countries. We test our hypothesis using data on selected infectious diseases from the World Health Statistics (WHS) published by the World Health Organization (WHO) and data on trust from the World Values Surveys (WVS). We create an index of infectious disease using factor analysis. The OLS regression equation includes control variables of income inequality, per capita income and human capital. The empirical results are considerably robust showing that higher cases of infectious diseases are negatively associated with trust when controlling for macroeconomic and social variables.

数字乡村建设与农民工就业质量提升

数字乡村建设一方面通过新业态新模式创造出更多更高质量的就业岗位,另一方面通过拓宽信息渠道促进农民工人力资本和社会资本积累,增强农民工在就业市场上的竞争力和议价能力,因而可以赋能农民工高质量就业。将2018年的县域数字乡村指数数据与中国家庭追踪调查(CFPS)数据进行匹配,从客观和主观两个维度综合评价农民工的就业质量,检验数字乡村建设对农民工就业质量的影响,结果表明:数字乡村建设显著提高了农民工就业质量,该结论在内生性处理和一系列稳健性检验中依然成立;数字乡村建设具有显著的信息改善效应,可以通过拓宽信息渠道、促进人岗匹配、增强社会信任等路径来提高农民工的就业质量;数字乡村建设对女性农民工、在婚农民工、中青年农民工、学历较高的农民工和已接入互联网的农民工具有更显著的就业质量提升作用。因此,应加快推进数字乡村建设,充分发挥其各种积极效应,并有效缩小城乡间和农村地区内部的数字鸿沟,促进数字乡村协调发展。

Social Network and Inter-Organizational Learning: The Case of a Brazilian Cooperative of Fish-Farmers

The inter-organizational learning approach has shown considerable growth in recent years. The concepts of trust and cooperation between individuals present in the New Economic Sociology (NES) approach of social relations emerge with great emphasis and are gaining prominence as a facilitator and propellant mechanism in transferring knowledge inside networks. This study aims to analyze the learning networks formed by fish-farmers organized into a cooperative to identify the characteristics of the network through structural analysis and identification of its critical actors. The study was performed with thirteen fish-farmers of a cooperative headquartered inMundo Novocounty, which is located inMato Grosso do Sulstate in the Midwest region of Brazil. Questionnaires and interviews with closed and open questions were used to collect the data. Measures of centrality (for individuals), density and reciprocity (in relations between individuals) were obtained from ORA software. The findings revealed that experience exchanges between fish-farmers, events participation, meetings attendance, speech audience and technical advice are the main forms of inter-organizational learning. Results suggest that the network has low levels of cohesion and that it is not taking advantage of its full potential. It was also found that there is a subgroup within the network that presents a high level of cohesion and shared learning based on cooperative informal relationships. Grounded in findings, suggestions for future research are presented.

Relationship of general trust with individual health and life related factors among frail elderly residents at home in Hokkaido rural areas in Japan

General Trust (GT), defined as a default expec-tation of other people’s trustworthiness, is assumed to be a predictor for promotion of health and welfare in individuals as well as for strengthening of social capital in the community. An improvement of health and quality of life of the elderly is recently a crucial agenda. Thus, the purpose of the study was to explore which factors regarding health and life associated with GT among frail elderly people living at homes in Japanese rural area. The study selected the subjects who were designated within three mildest degrees in seven stages of long-term care levels and who met at an item and more in the national basic check-list. 209 participants were interviewed by trained health personnel using a structured questionnaire. GT was measured by a dichotomous outcome of inquiring “do you trust people in general?”. In the univariable analysis, educational status (p = 0.004), activity competence index including instrumental activity of daily living (IADL) (p = 0.020), Mini-Mental State Examination (MMSE) (p = 0.029) and Self-rating Depression Scale (SDS) (p = 0.010) were significantly related to GT. By logistic regression analysis using a stepwise method with a like-lihood ratio, educational status alone was sig-nificantly associate with GT (p = 0.010, odds ratio = 1.195 [95% confidence interval;1.043 - 1.371]). Health related factors had nothing to do with GT. Our finding suggested that the higher educated elderly might have had more opportunities to encounter the others and more indispensability to deliberately discern their trustworthiness than the lower, and consequently had higher GT through social intelligence being strengthened.

“合群”对民众主观幸福感影响的实证研究——基于中国社会状况综合调查数据的分析

运用2021年“中国社会状况综合调查数据”,在建立二元Logit模型基础上,使用非线性模型的中介效应检验-KHB方法对“合群”效应进行分解,探讨了“合群”与当前中国民众主观幸福感的关系,验证了“合群”对民众主观幸福感的影响,并进一步比较分析了其中介作用机制。研究发现:“合群”可以显著提升民众的主观幸福感;“合群”通过影响社会信任水平和社会联结程度,进而影响主观幸福感;社会信任水平和社会联结程度是“合群”影响主观幸福感的重要中介机制,其中介效应比例存在一定差异,社会联结程度的解释比例要高于社会信任水平。在此基础上,证实了“合群”对民众主观幸福感增进作用的存在,也为更好地认识“合群”如何有效地促进民众主观幸福感提供了微观证据。

我国青少年的媒体使用、媒体信任与政治信任——基于一项全国性问卷调查的研究

建构政治信任是青少年政治社会化的重要目标,媒体则是塑造该群体政治信任的重要途径。通过对广东、湖北、甘肃三省六地近1400名在校中学生的问卷调查,考察媒体使用和媒体信任对青少年群体政治信任的影响。数据分析表明,青少年的媒体使用既直接促进政治信任,还通过媒体信任对政治信任产生间接影响。媒体使用对青少年的政治信任具有显著的正向促进作用,即青少年使用媒体获取时政信息越频繁,其对于政治行为者、政府、政党、政治制度和政治系统的信任程度就越高。官方媒体信任和非官方媒体信任都能显著促进青少年的政治信任,且两种媒体信任在媒体使用和政治信任之间发挥着重要的中介作用。从政治传播视角揭示了媒体使用对青少年政治信任的多重影响路径,彰显和证实了媒体信任在该群体政治信任培育中的重要价值。将中介变量媒体信任划分为官方媒体信任和非官方媒体信任两个维度,丰富和拓展了学界对媒体信任和政治信任之间关系的理解。

促进还是抑制:社会信任对绿色生活方式的影响机制

绿色生活方式转型对推动生态文明建设具有重要意义。基于价值—信念—规范理论和信任—信息—合作模型等,构建“社会信任—环境风险感知—环境关心—绿色生活方式”的理论分析框架,采用中国综合社会调查(CGSS)2021年数据,运用结构方程模型,探索社会信任对绿色生活方式的影响机制,分析环境风险感知和环境关心的中介效应。研究表明:(1)居民社会信任程度的提高,可以直接激发绿色生活方式意愿,从而间接促进绿色生活方式行为;(2)居民社会信任程度的提高,会降低环境风险感知,间接抑制绿色生活方式行为;(3)社会信任会通过降低环境风险感知而减少环境关心,再同时间接抑制绿色生活方式意愿和行为。社会信任对绿色生活方式的双重作用机制表明,社会信任可能是一把“双刃剑”:社会信任虽然能直接促进绿色生活方式的形成,推动绿色生活方式的转型,但是也可能通过降低环境风险感知和环境关心,抑制绿色生活方式的意愿和行为。因此,培育居民绿色生活方式可直接聚焦环境风险感知和环境关心,激发居民保护环境的内在情感和动力,以有效促进居民绿色生活方式的转型。

产妇社会信任和心理弹性对产后创伤后应激障碍影响的路径分析

目的分析产妇社会信任和心理弹性对产后创伤后应激障碍(PTSD)影响的路径。方法采用创伤后应激障碍症状清单-平民版(PCL-C)、社会信任量表(STS)及心理弹性量表(CD-RISC)对312例产后产妇进行问卷调查。结果产妇产后PCL-C得分为(26.82±10.23)分;STS得分为(26.55±5.22)分;CD-RISC得分为(91.56±25.56)分。产妇产后STS和CD-RISC评分与PCL-C评分呈负相关(r=-0.177、-0.153,P<0.01),而STS评分与CD-RISC评分呈正相关(r=0.446,P<0.01)。心理弹性在社会信任与产后PTSD间的中介效应不显著,社会信任在心理弹性与产后PTSD间的中介效应不显著。结论心理弹性、社会信任与产后PTSD之间两两直接相关,即心理弹性直接影响产后PTSD,社会信任直接影响产后PTSD,心理弹性与社会信任间相互影响。

自媒体时代信息网络传播权的刑法保护

《刑法修正案(十一)》将以营利为目的,通过信息网络传播方式侵犯著作权的行为单列为独立类型的行为方式,能够避免之前将该类行为解释为“复制发行”的不当认定。但也应当看到,以网络门槛开放化、开放平台去中心化、信任关系流量化、个体用户创作化、营销导向关键意见化等为典型特征的自媒体时代,模糊了信息网络传播权的规范内涵、作品独创性特征、合理使用规则等的理论界分。与此同时,自媒体时代带来的前述变化也造成信息网络传播权的刑法保护面临三重困境:其一,二次创作的独立价值影响对作品价值侵害的大小认定;其二,二次创作中的转化使用构成违法阻却事由之合理使用;其三,直播带货式营销影响主观上具有牟利目的的证明难度。对此,司法适用中应当重视二次创作中创作行为的作用力、主观营利目的的客观性和营利事实及数额的利用性关联程度,从而既贯彻刑法谦抑原则,实施合理限度的知识产权刑法保护,又兼顾自媒体时代的经济结构发展和公民在网络空间的合法权益保障。

电子政务背景下政府透明度与社会公平感对公众政府信任水平的影响

公众对政府的信任水平已经成为衡量政府治理能力的重要指标之一,而电子政务则被当作扭转政府信任危机的一种解决方案被提出,因此,辨析中国情境中电子政务对政府信任的影响并探寻背后的作用机制就显得尤为重要。本文着重研究了电子政务对政府信任影响过程中政府透明度感知的中介作用及社会公平感的调节作用机制。通过对2629份问卷调查数据的分析发现,电子政务的使用和推广可以有效提升社会公众的政府透明度感知水平,而政府透明度感知对公众的政府信任水平提升有着积极的作用;电子政务对政府信任的正向形塑效应正逐渐显现;电子政务对政府信任的提升作用部分归因于政府透明度感知的增加;就政府透明度感知对政府信任的促进作用而言,公众的社会公平感具有放大效应。

社会公平感对景区-社区冲突的影响机制研究——基于政府信任的中介效应

景区—社区冲突作为旅游地的负面事件,既制约景区高质量发展,又影响和谐社会建设和乡村振兴的实现,增强社会公平感是化解此类冲突的有效途径。为厘清其作用机制,以L风景名胜区为案例,从社区居民感知视角出发,运用结构方程模型,以政府信任为中介变量,探究社会公平感对景区—社区冲突的影响机理。研究发现,社会公平感能够有效降低景区—社区冲突倾向,其中以互动公平感缓解冲突倾向的效果最佳;政府信任也能够显著降低景区—社区冲突倾向,且影响程度高于社会公平感;政府信任在社会公平感和冲突倾向之间起部分中介作用。对此,景区管理方需通过明确旅游吸引物权、设计合规的旅游参与程序、增强与社区居民的人文沟通与情感关怀、改善公共基础设施服务水平等措施提升社区居民的分配公平感、程序公平感、互动公平感与政府信任,以有效化解景区—社区冲突。

生态农产品品牌形象对消费者信任的影响——基于消费者社交网络参与度的调节效应

本文基于信号传递理论阐述了生态农产品品牌形象影响消费者信任的逻辑机理,并利用全国1113位有机牛奶消费者的微观调查数据,实证检验了生态农产品品牌形象对消费者信任的影响效应及其传导机制。结果表明:(1)品牌作为一种能够降低消费者选择成本的排他性品类符号,具有重要的信息传递功能,对于解决生态农产品市场的信息不对称问题有积极意义,但不同品牌的影响力和号召力不同,其原因在于品牌形象存在差异,品牌形象越好,消费者对产品信任度越高。(2)在品牌形象对消费者信任的影响关系中,消费者社交网络参与度发挥着一定程度的正向调节作用,品牌形象对社交网络参与度较高的消费者产品信任影响较为强烈。(3)品牌形象对消费者信任的影响存在一定的异质性,对于社会信任水平较低和生态认知水平较高的消费者而言,品牌形象对其产品信任的影响较为显著。