Automated verbal credibility assessment of intentions: The model statement technique and predictive modeling

Recently, verbal credibility assessment has been extended to the detection of deceptive intentions, the use of a model statement, and predictive modeling. The current investigation combines these 3 elements to detect deceptive intentions on a large scale. Participants read a model statement and wrote a truthful or deceptive statement about their planned weekend activities (Experiment 1). With the use of linguistic features for machine learning, more than 80% of the participants were classified correctly. Exploratory analyses suggested that liars included more person and location references than truth‐tellers. Experiment 2 examined whether these findings replicated on independent‐sample data. The classification accuracies remained well above chance level but dropped to 63%. Experiment 2 corroborated the finding that liars' statements are richer in location and person references than truth‐tellers' statements. Together, these findings suggest that liars may over‐prepare their statements. Predictive modeling shows promise as an automated veracity assessment approach but needs validation on independent data.     

The dimensions of deception detection: Self‐reported deception cue use is underpinned by two broad factors

Many perceived cues to deception have been reported in the literature, but little attention has been paid to how they are combined when making deception judgments. The present research used a data‐driven approach to investigate how cues are integrated when evaluating veracity. Two hundred fifteen participants performed a deception detection task before completing a deception cue use questionnaire. A factor analysis of the questionnaire data produced two dimensions, one associated with nonverbal cues to anxiety and the other associated with detail and level of involvement. The present work extends our understanding of deception detection processes and underlines the importance of examining not only the cues that people use but also the way in which they use them.     

CROSSING THE DIVIDE: LESSONS FROM DEVELOPING WIND ENERGY IN POST‐FACT AMERICA

The income and careers that come with building wind turbines have become a lifeline for many factory towns and farming communities. Generating electricity from the wind puts increasingly cheap power on the grid, saving consumers billions a year. And it is one of the biggest, fastest, cheapest ways to reduce carbon pollution, reducing the threat of climate change. Yet as wind farms have rapidly spread to forty‐one states, their developers must make their case anew with each community that hosts them. Facts matter, but so do empathy, honoring deep connections to neighbors and landscape, and developing mutual respect. Successful wind farm developers listen first for shared values and speak with inclusive language, to communicate with potential opponents across divides of misunderstanding and motivate local residents to adapt to and benefit from change.     

Shared Communities: A Multinational Qualitative Study of Immigrant and Receiving Community Members

Community psychology is central to understanding how immigrants and more established residents of their new settings join together to develop a shared sense of community and membership. In our present study, we explored how newer (i.e., first‐ and second‐generation immigrants) and more established community members form multiple positive psychological sense of community (PSOC) with one another. We conducted a multinational, qualitative study of PSOC through interviews with 201 first‐ and second‐generation immigrants and third generation or more “receiving community members” in three contexts (Baltimore‐Washington corridor of the U.S.; Torino, Italy; Lecce, Italy). Results indicated numerous similarities among the ways in which participants constructed PSOC in shared and nonshared communities, regardless of immigration/citizenship status, length of community residence, city, country, age, or gender. Small, proximal, and salient communities were often particularly important to building positive PSOC, which was formed around diverse membership boundaries. As intersectional beings, members converged and diverged on many characteristics, providing multiple opportunities for members to bring diversity to their communities while sharing other characteristics deemed essential to membership. Nonetheless, findings point to significant, structural challenges rooted in power and privilege that must be confronted to bridge the community‐diversity dialectic and build strong, shared sense of community.     

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.     

Word Detection in Sung and Spoken Sentences in Children With Typical Language Development or With Specific Language Impairment

Background: Previous studies have reported that children score better in language tasks using sung rather than spoken stimuli. We examined word detection ease in sung and spoken sentences that were equated for phoneme duration and pitch variations in children aged 7 to 12 years with typical language development (TLD) as well as in children with specific language impairment (SLI ), and hypothesized that the facilitation effect would vary with language abilities. Method: In Experiment 1, 69 children with TLD (7–10 years old) detected words in sentences that were spoken, sung on pitches extracted from speech, and sung on original scores. In Experiment 2, we added a natural speech rate condition and tested 68 children with TLD (7–12 years old). In Experiment 3, 16 children with SLI and 16 age-matched children with TLD were tested in all four conditions. Results: In both TLD groups, older children scored better than the younger ones. The matched TLD group scored higher than the SLI group who scored at the level of the younger children with TLD . None of the experiments showed a facilitation effect of sung over spoken stimuli. Conclusions: Word detection abilities improved with age in both TLD and SLI groups. Our findings are compatible with the hypothesis of delayed language abilities in children with SLI , and are discussed in light of the role of durational prosodic cues in words detection.     

Mimicry and Investigative Interviewing: Using Deliberate Mimicry to Elicit Information and Cues to Deceit

We examined the effect of deliberate mimicry on eliciting (accurate) information and cues to deceit. Mimicry is considered to facilitate cooperation and compliance in truth tellers, whereas liars are constrained to provide detail. We therefore expected truth tellers to be more detailed than liars, particularly after being mimicked. A total of 165 participants told the truth or lied about a meeting they attended. During the interview, an interviewer mimicked half of the participants. Truth tellers were more detailed than liars, but only in the ‘mimicry present’ condition. Truth tellers also gave more accurate units of information than liars, and the difference was most pronounced in the ‘mimicry present’ condition. Mimicry as a tool for eliciting information and cues to deceit fits well with the emerging ‘interviewing to detect deception’ literature, particularly in the ‘encouraging interviewees to say more’ approach. Copyright © 2015 John Wiley & Sons, Ltd.     

The Youth Public Arts Program: Interpersonal and Intrapersonal Outcomes for At-Risk Youth

This article provides the findings of a program evaluation of the Youth Public Arts Program, a long-standing community-based art program that serves at-risk youth in eastern North Carolina. The program evaluation was undertaken to examine the art skills, social and interpersonal skills, and community involvement of the participants. The study included four focus groups and telephone surveys with a total of 38 stakeholders (program participants, parents of participants, program staff, and referral sources). Results indicated that the at-risk youth had gains in both interpersonal and intrapersonal skills, including family relationships, peer relationships, community interaction, increased art skills, confidence, and self-regulation. This article adds to the very limited literature on community-based art programs for youth.     

The Community Psychologist as Critical Friend: Promoting Critical Community Praxis

Community‐engaged researchers have a responsibility to community partners to get beyond the traditional researcher stance to take on the active role of critical friend. On the basis of my own community research experiences in the USA, in this article, I argue that there is added value in taking on the practice of critical friendship to encourage a higher degree of critical reflection and critical practice in our partners and in our work together. In the context of long‐term, trusting relationships with community partners, researchers can play the role of critical friend working together to shape critical community praxis on the basis of critical theorizing, critical reflection, and a shared commitment to working for social justice. Those trying to make a difference in communities are often isolated and can benefit from opportunities for dialogue with other community practitioners within a critical frame of reference. Although not without risks and challenges, stepping into this role allows us to put into sharper relief the gap between community practice that challenges injustice and practice that maintains it. Copyright © 2014 John Wiley & Sons, Ltd.     

Making Sense in and of the Asexual Community: Navigating Relationships and Identities in a Context of Resistance

Despite some increased visibility in recent years, the asexual community and asexuality generally remain largely unknown. Aiming to demystify asexuality, this paper discusses the context of anti‐asexual animosity in which the (largely American) asexual community is situated. Specifically, the asexual community constructed itself in response to hostility, including explicit anti‐asexual discrimination, homophobia against asexual people perceived to be lesbian or gay, and the negative impact of (implicit) pathologising low sexual desire. This theoretical paper outlines some of the unique challenges asexual people face negotiating identities and relationships; the collective sense‐making strategies they use (generating language and discourse) to do so; and why these things are central to understanding asexual people's experiences. This is accomplished through a purposeful review of literature and a case study of the Asexual Visibility and Education Network as an asexual community space. Understanding the challenges asexual people face and the resources they invoke to overcome them helps applied psychologists develop the cultural competence they need to work effectively with the asexual people they will encounter. Copyright © 2014 John Wiley & Sons, Ltd.