Analytic thinking reduces belief in conspiracy theories

Belief in conspiracy theories has been associated with a range of negative health, civic, and social outcomes, requiring reliable methods of reducing such belief. Thinking dispositions have been highlighted as one possible factor associated with belief in conspiracy theories, but actual relationships have only been infrequently studied. In Study 1, we examined associations between belief in conspiracy theories and a range of measures of thinking dispositions in a British sample (N = 990). Results indicated that a stronger belief in conspiracy theories was significantly associated with lower analytic thinking and open-mindedness and greater intuitive thinking. In Studies 2–4, we examined the causational role played by analytic thinking in relation to conspiracist ideation. In Study 2 (N = 112), we showed that a verbal fluency task that elicited analytic thinking reduced belief in conspiracy theories. In Study 3 (N = 189), we found that an alternative method of eliciting analytic thinking, which related to cognitive disfluency, was effective at reducing conspiracist ideation in a student sample. In Study 4, we replicated the results of Study 3 among a general population sample (N = 140) in relation to generic conspiracist ideation and belief in conspiracy theories about the July 7, 2005, bombings in London. Our results highlight the potential utility of supporting attempts to promote analytic thinking as a means of countering the widespread acceptance of conspiracy theories.     

Indigenizing CBPR: Evaluation of a Community-Based and Participatory Research Process Implementation of the Elluam Tungiinun (Towards Wellness) Program in Alaska

The process that community based participatory research (CBPR) implementation takes in indigenous community contexts has serious implications for health intervention outcomes and sustainability. An evaluation of the Elluam Tungiinun (Towards Wellness) Project aimed to explore the experience of a Yup'ik Alaska Native community engaged within a CBPR process and describe the effects of CBPR process implementation from an indigenous community member perspective. CBPR is acknowledged as an effective strategy for engaging American Indian and Alaska Native communities in research process, but we still know very little about the experience from a local, community member perspective. What are the perceived outcomes of participation in CBPR from a local, community member perspective? Qualitative methods were used to elicit community member perspectives of participation in a CBPR process engaged with one Yup'ik community in southwest Alaska. Results focus on community member perceptions of CBPR implementation, involvement in the process and partnership, ownership of the project with outcomes observed and perceived at the community, family and individual levels, and challenges. A discussion of findings demonstrates how ownership of the intervention arose from a translational and indigenizing process initiated by the community that was supported and enhanced through the implementation of CBPR. Community member perspectives of their participation in the research reveal important process points that stand to contribute meaningfully to implementation science for interventions developed by and for indigenous and other minority and culturally diverse peoples.     

Highlighting the Way Forward: A Review of Community Mental Health Research and Practice Published in AJCP and JCP

Articles published in the two most prominent journals of community psychology in North America, the American Journal of Community Psychology (AJCP) and Journal of Community Psychology (JCP), provide a clear indicator of trends in community research and practice. An examination of community psychology's history and scholarship suggests that the field has reduced its emphasis on promoting mental health, well‐being, and liberation of individuals with serious mental illnesses over the past several decades. To further investigate this claim, the current review presents an analysis of articles relevant to community mental health (N = 307) published in the American Journal of Community Psychology (AJCP) and Journal of Community Psychology (JCP) from 1973 to 2015. The review focuses on article characteristics (e.g., type of article and methods employed), author characteristics, topic areas, and theoretical frameworks. Results document a downward trend in published articles from the mid‐1980s to mid‐2000s, with a substantial increase in published work between 2006 and 2015. A majority of articles were empirical and employed quantitative methods. The most frequent topic area was community mental health centers and services (n = 49), but the past three decades demonstrate a clear shift away from mental health service provision to address pressing social issues that impact community mental health, particularly homelessness (n = 42) and community integration of adults with serious mental illnesses (n = 40). Findings reflect both the past and present state of community psychology and suggest promising directions for re‐engaging with community mental health and fostering well‐being, inclusion, and liberation of adults experiencing serious mental health challenges.     

Weak Consistency for Ensuring Priority Vectors Reliability

Consistency and transitivity are important and leading research topics in the study of decision‐making in terms of pairwise comparison matrices. In this paper, we search for conditions that, in case of inconsistency, guarantee ordinal compatibility between ordinal ranking (actual ranking) derived from a transitive matrix and cardinal rankings provided by the most usual priority vectors proposed in the scientific literature. We provide the notion of weak consistency; it is a condition weaker than consistency and stronger than transitivity and ensures that vectors associated with a matrix, by means of a strictly increasing synthesis functional, provide a preference order, on the related set of decision elements, equal to the actual ranking. This notion extends, to the case in which the decision‐maker can be indifferent between two or more alternatives/criteria, weak consistency introduced in previous papers under constraint of no indifference. Finally, we introduce an order relation on the rows of the matrix, that is, a simple order if and only if weak consistency is satisfied; this simple order allows us to easily determine the actual ranking on the set of decision elements. Copyright © 2015 John Wiley & Sons, Ltd.     

Detecting Clusters/Communities in Social Networks

Cohen's κ, a similarity measure for categorical data, has since been applied to problems in the data mining field such as cluster analysis and network link prediction. In this paper, a new application is examined: community detection in networks. A new algorithm is proposed that uses Cohen's κ as a similarity measure for each pair of nodes; subsequently, the κ values are then clustered to detect the communities. This paper defines and tests this method on a variety of simulated and real networks. The results are compared with those from eight other community detection algorithms. Results show this new algorithm is consistently among the top performers in classifying data points both on simulated and real networks. Additionally, this is one of the broadest comparative simulations for comparing community detection algorithms to date.     

Attention network test: Assessment of cognitive function in chronic fatigue syndrome

Information processing difficulties are common in patients with chronic fatigue syndrome (CFS). It has been shown that the time it takes to process a complex cognitive task, rather than error rate, may be the critical variable underlying CFS patients' cognitive complaints. The Attention Network Task (ANT) developed by Fan and colleagues may be of clinical utility to assess cognitive function in CFS, because it allows for simultaneous assessment of mental response speed, also called information processing speed, and error rate under three conditions challenging the attention system. Comparison of data from two groups of CFS patients (those with and without comorbid major depressive disorder; n = 19 and 22, respectively) to controls (n = 29) consistently showed that error rates did not differ among groups across conditions, but speed of information processing did. Processing time was prolonged in both CFS groups and most significantly affected in response to the most complex task conditions. For simpler tasks, processing time was only prolonged in CFS participants with depression. The data suggest that the ANT may be a task that could be used clinically to assess information processing deficits in individuals with CFS.     

Differential Effects of Right‐Wing Authoritarianism and Social Dominance Orientation on Dimensions of Generalized Prejudice in Brazil

Previous research within a dual‐process cognitive‐motivational theory of ideology and prejudice has indicated that dimensions of generalized prejudice are structured around attitudes towards dangerous, derogated and dissident groups, and that these prejudice dimensions are differentially predicted by the ideological attitudes of Right‐Wing Authoritarianism (RWA) and Social Dominance Orientation (SDO). However, to date, these findings have been restricted to New Zealand samples. We describe two studies examining whether the structure of prejudiced attitudes and the differential prediction by RWA and SDO replicate in the Brazilian context, incorporating context‐relevant examples of each group—politicians, those from the northeast region of Brazil, and environmentalists. Results broadly supported the three‐factor structure of dangerous, derogated, and dissident groups. Consistent with previous research, regression and structural equation analyses showed that RWA explained prejudice against dangerous groups, SDO explained prejudice against derogated groups, and both RWA and SDO explained prejudice against dissident groups. This research provides some evidence for the generalizability of the three‐dimensional structure of generalized prejudice and differential prediction by RWA and SDO. Copyright © 2014 European Association of Personality Psychology     

A Video Recall Study of In‐session Changes in Sentiment Override

This study examines in‐session changes in sentiment override over the first three sessions of couple therapy. Couples viewed a video recording of therapy sessions immediately after each of the first three sessions and continuously rated their level of sentiment override. Ninety‐eight changes were randomly chosen for analysis. Three talk turns prior to each change was coded using the Family Relational Communication Control Coding System. Results show that changes in sentiment override occur frequently. Repeated incidents of communication control were related to negative change in sentiment override for females. Repeated incidents of being left out of the conversation were related to negative changes in sentiment override for females and positive changes for males.     

Lost in Translation? The Need for ‘Upstream Engagement’ with Nanotechnology on Trial

Nowadays, the criticism of the so-called ‘deficit model’ and the need for ‘upstream engagement’ in science and technology are becoming part of the master narratives of public policies in many countries, especially concerning nanotechnology. This may be considered as a major success for STS scholars, whose research results have largely contributed to this change, especially those concerning the GMO controversies. Some STS scholars thus move from a position of distant and critical observers to the role of experts in social engineering or advisers of policy-makers. However, in their enthusiasm concerning the expected benefits of upstream engagement, institutions, TA practitioners and social scientists seem to ignore some important limitations as well as the implicit framing assumptions of the concept. Based on an experience made by a group of social scientists in the Grenoble area—one of the major ‘nanodistricts’ in Europe—our paper shows that the ‘upstream engagement’ concept is still embedded in a linear model of innovation and is not very useful to anyone pursuing the co-production of innovations. It is especially true when socio-technical networks are already aligned by powerful actors and a worldwide agenda as in the case of nanotechnology. In order to give an opportunity for public engagement to have a larger impact on decision-making, we propose an alternative approach, which combines Actor–Network Theory (ANT), as an analytical tool, with the reflexive and ongoing implementation of public participation. Public engagement is probably one of the critical loci where STS scholars must reflect on the articulation between the knowledge they produce and public policies in action.