Challenges and dilemmas working with high‐conflict families in child protection casework

Social workers within child protection services report that families marked by high levels of conflict between separated parents are among the most challenging cases to handle. Few studies however have focussed on how social workers themselves experience and meet with parents involved in hostile martial interactions. This article reports on a qualitative study involving 31 social workers and provides an analysis of their experiences and dilemmas in working with such families. Findings demonstrate that social workers struggle to find ways to help high‐conflict families and often find themselves at an impasse. Parents involved in such conflict are highly resistant to change, and social workers struggle to engage with them over concerns about their children. Furthermore, findings suggest that social workers lack organizationally allotted time to assist the parents. I conclude by discussing ways in which emotional support, empowering interventions, and strength‐based approaches enable social workers to manage relationships with high‐conflict families. More research on this topic is needed to support and promote better practices for social workers to be more effective in assisting high‐conflict families.     

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.     

Narrative persuasion,identification, attitudes,and trustworthiness in crisis communication

The purpose of this study is to test the effects of narratives in crisis communication. This research assesses how organizations benefit from using stories in their media responses, relative to sharing nonnarrative information. The theory of crisis response narratives (Heath, 2004) holds that ethical narratives are effective because they enhance trustworthiness, attitudes toward the spokesperson, and identification with the spokesperson. Normative crisis communication theory exhorts disclosing truthful information rather than spinning. In an online experiment, participants (N = 365) watched a news interview in which a scandalized company’s spokesperson responded to a journalist’s questions with (a) ethical narratives, (b) unethical (spin) narratives, or (c) nonnarrative information. Multiple mediator modeling assessed identification with the spokesperson, attitudes toward the spokesperson, and perceived trustworthiness of the spokesperson. Results indicate ethical narratives are more effective than unethical narratives. However, nonnarrative information most effectively enhances trustworthiness and bolsters identification.     

Explicating trust and its relation to dialogue at a time of divided societies

Values, beliefs, opinions and attitudes on issues (such as religion, LGBTQ, immigration, etc.), and the proliferation of social media platforms have made society not only more diverse but also more divided. Competing and conflicting views and attitudes result in more schisms and disengagement. In addition, conflicts and disagreements on various issues also have resulted in a lack of trust and a reluctance of organizations and publics to engage in meaningful communication. As a result, developing trusting relationships by facilitating dialogues is significant. Trust has been an important construct in past research on organization-public relationships. However, the concept of trust has rarely been discussed in-depth in public relations literature. This special section of Public Relations Review, entitled Enhancing Dialogue and Trust in Diverse Societies, examines whether the current definitions of trust and its dimensions in the public relations literature are adequate in an organization-public dialogic communication setting.     

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.     

Accurate estimation for extra-Poisson variability assuming random effect models

In this study, the components of extra-Poisson variability are estimated assuming random effect models under a Bayesian approach. A standard existing methodology to estimate extra-Poisson variability assumes a negative binomial distribution. The obtained results show that using the proposed random effect model it is possible to get more accurate estimates for the extra-Poisson variability components when compared to the use of a negative binomial distribution where it is possible to estimate only one component of extra-Poisson variability. Some illustrative examples are introduced considering real data sets.     

数字化发展、制度环境与政府舆情治理质量

基于2016—2020年我国31个省级行政区的面板数据,考察数字化发展、制度环境与政府舆情治理质量之间的关系。研究发现,数字化发展对政府舆情治理质量具有改善效应;相比制度环境较差的省份,数字化发展对舆情治理质量的改善效应在制度环境较好的省份更为显著。异质性检验表明,数字化发展对政府舆情治理质量的改善效应在数字化水平高的省份、制度环境较好但数字化水平低的省份显著,在制度环境较好的省份、制度环境较差的东部省份显著。研究结论为借助数字化发展改善政府舆情治理质量提供了理论依据。     

Double robust estimator in general treatment regimes based on Covariate-balancing

Double robust estimators have double the chance of being a consistent estimator of a causal effect in binary treatments cases. In this paper, we proposed an estimator of a causal effect for general treatment regimes based on covariate-balancing. Under parametrical situation, our estimator has double robustness.