英语教学中的文化渗透

英语国家社会文化和汉语文化存在着很大差异,在英语教学中,不但要教会学生英语语言本身,也要传授给学生英语语言中所承载的社会文化内涵,使学生学到真正地道的英语,从而真正达到文化交流的目的。     

关于马克思社会有机体构成内容的文本分析

马克思的社会有机体理论是由前提性有机构成部分、基础性有机构成部分、上层性有机构成部分、观念性有机构成部分所构成的多维度有机整体。全面理解马克思关于社会有机体理论,有助于我们更加全面地认识人类社会发展的基本规律,也有助于我们深化对全面建设小康社会与积极构建和谐社会的认识。     

主观感知还是客观责任? ——中国农民工作回报期望影响因素研究

理清农民工作回报期望的影响因素进而精准施策,对于破解城乡发展不平衡和满足农民对美好生活的向往意义重大。利用Multinomial Logistic模型和CGSS2015相关数据的实证研究结论发现:以主观社会经济地位和外出务工经历为代表的主观感知性因素是影响农民工作回报期望的关键,而以养老责任和未成年子女数量为代表的客观责任因素的影响则不显著。同时,受教育程度也是影响农民工作回报期望的重要因素,受教育程度为初中及以下的农民对生理回报和安全回报有更强烈的诉求。     

Neighborhood change from the bottom Up: What are the determinants of social distance between new and prior residents?

An important source of neighborhood change occurs when there is a turnover in the housing unit due to residential mobility and the new residents differ from the prior residents based on socio-demographic characteristics (what we term social distance). Nonetheless, research has typically not asked which characteristics explain transitions with higher social distance based on a number of demographic dimensions. We explore this question using American Housing Survey data from 1985 to 2007, and focus on instances in which the prior household moved out and is replaced by a new household. We focus on four key characteristics for explaining this social distance: the type of housing unit, the age of the housing unit, the length of residence of the exiting household, and the crime and social disorder in the neighborhood. We find that transitions in the oldest housing units and for the longest tenured residents result in the greatest amount of social distance between new and prior residents, implying that these transitions are particularly important for fostering neighborhood socio-demographic change. The results imply micro-mechanisms at the household level that might help explain net change at the neighborhood level.     

How publics react to situational and renewing organizational responses across crises: Examining SCCT and DOR in social-mediated crises

The prevalence of social media among networked publics calls for more research regarding how organizations can conduct effective crisis communication on social networking sites. Based on the situational crisis communication theory (SCCT) and the discourse of renewal (DOR) theory, this study examined how social media publics’ sentiments were affected by situational and renewing organizational responses in various clusters of crises. Twitter data of six crises representing three crisis clusters varying in the responsibility attribution (i.e., ambiguous, accidental, and preventable) were collected. We conducted a content analysis on organizations’ official tweets during crises (N = 59) and sentiment analysis on publics’ replies on Twitter (N = 4,340). The results showed that publics’ positive sentiments toward organizations were affected by organizational crisis responses that included instructing information, sympathy, systemic organizational learning, and effective organizational rhetoric. We recommend that crisis managers express sympathy toward publics as well as organizational learning that prevents a crisis from happening again.     

Developing a multi-level organization-public dialogic communication framework to assess social media-mediated disaster communication and engagement outcomes

Dialogic communication has long been viewed as vital for effective organization-public relations. Yet, it is under-theorized whether and how organizations’ disaster communication messages may embody dialogic communication principles, and how various dialogic features are associated with different public engagement outcomes on social media. Extending the Organization-Public Dialogic Communication (OPDC) framework to the context of social media-mediated disaster communication, we propose a multi-level framework to assess the dialogic capacity of Facebook messages sent by disaster management organizations during a natural disaster. Three levels of dialogic communication characteristics (i.e., message structure-level, topic-level, and linguistic level) are examined using content analysis and Linguistic Inquiry and Word Count (LIWC). Results identified media richness, correcting, and confirming topics as three consistent predictors of public engagement of all types. Meanwhile, there exhibit greater variations regarding how other topical features and linguistic characteristics are related to public’s cognitive, emotional, and behavioral engagement during a disaster.     

Moving forward the dialogic theory of public relations: Concepts,methods and applications of organization-public dialogue

Advanced information and communication technologies and social media (Web 2.0) have significantly shaped every aspect of contemporary society since Kent and Taylor’s (1998) proposal of dialogic principles, which later evolved into dialogic theory of public relations. It is now time to move the theory forward. The special section aims to advance the dialogic theory of public relations by reviewing the scholarship in organization-public dialogue to pinpoint critical issues for its development and introducing studies that take the dialogue approach to examine a range of public relations practices in China. In this introduction, we first identify critical issues to be addressed for the development of the dialogic theory of public relations and then introduce the articles included in the section. We conclude by proposing research directions for the theoretical and practical development of the dialogic approach to public relations.     

The coevolution of trade agreements and investment treaties: Some evidence from network analysis

Regional trade agreements (RTAs) and bilateral investment treaties (BITs) are expected to promote trade and investment relationships. One critical feature of such agreements is the network, so the multiplex coevolution of RTAs and BITs should be captured by the dynamics of their two networks. Although many studies have examined the roles of RTAs and BITs, most studies do not account for crucial network properties. This study explores how RTAs and BITs coevolve by applying a stochastic actor-oriented model of multiplex network evolution. In particular, we examine the roles of (i) cross-network dyadic interinfluences and (ii) within- and cross-network preferential attachments to discuss the dynamic relationships between RTAs and BITs. The results are as follows. First, our estimation supports cross-network dyadic interinfluences. Countries that sign a BIT are willing to establish an RTA, while those that sign an RTA are reluctant to establish a BIT. Second, concerning preferential attachments, countries prefer to sign BITs with partners that have more RTA and BIT links. However, countries tend to form RTAs with partners that have more BIT links but are reluctant to form RTAs with those that have more RTA links. We discuss possible justifications for these results, including arguments regarding the benefits and costs associated with the formation of RTAs and BITs.     

Does the β-measure make empirical sense? A vignette experiment on humans’ judgment of social dominance

Dominance hierarchies play an important role in governing the social interactions of humans and other species of social animals. In a social group, dominance relations can be inferred from the directed network of matchups between actors. Methodologists have proposed different ways to measure social dominance in directed networks. One such measure, the “β-measure” (van den Brink and Gilles, 2000), emphasizes the quality of defeated opponents in a way that an actor is seen as being more dominant when s/he defeats opponents who are more rarely defeated. While insightful in theory, the validity of the measure in people’s perception remains questionable, considering the cognitive complexity imposed by this measure, compared to a simpler measure that merely counts the number of defeated opponents. We conducted a vignette experiment with human subjects (professional athletes) to test their judgments of the dominance relation in a hypothetical tournament. Fitting our parametric model to peoples’ evaluations in the experiment, we found strong evidence in support of the β-measure: Although, in general, contestants who win more in the tournament are regarded as being more dominant, the contents of the winning records matter, such that those who beat more victorious opponents are further regarded as more dominant than those who defeat less victorious opponents. We also found a gender difference, in that men have a stronger propensity than women to adopt the β-measure when judging social dominance.     

Terms of engagement: Facebook and Twitter use among nonprofit human service organizations

This study uses Lovejoy and Saxton's (2012) hierarchy of engagement to analyze how nonprofit human service organizations use Facebook and Twitter to engage stakeholders. Their framework has not been applied to this nonprofit subgroup, and most previous scholarship on this topic focuses on just one platform. We also contribute by drawing on organizational theory to better understand variation in the modes of engagement organizations emphasize. Based on our analysis, we add new subcategories to the hierarchy of engagement. In addition, we find that compared to other nonprofit subgroups examined in previous research, the organizations in our sample placed a greater emphasis on using social media messages to ask stakeholders to take action. We report only modest variations in how organizations were using Facebook and Twitter. Finally, according to our results, resource dependence and stewardship theories help explain the modes of engagement organizations prioritize.