Negative Attention Research Articles

Interpersonal Goals and Language Use During the Disclosure of a Concealable Stigmatized Identity: A LIWC Analysis

Previous theorizing suggests that the first stage of self-disclosure is the pursuit of an interpersonal goal. However, among individuals disclosing a concealable stigmatized identity, little is known about how their goals impact downstream processes such as language use and post-disclosure affect. Using Linguistic Inquiry and Word Count (LIWC), we examined the extent to which primed self-image or compassionate goals influence the linguistic content and style of disclosure, as well as dyad members’ affective states. Self-image disclosures were high in negative self-focused attention, whereas compassionate disclosures were more inclusive and positive in valence. Moreover, among disclosers, negative emotion words predicted their own negative affect. Among confidants, first-person singular and second-person pronouns predicted negative affect, however, this outcome was inversely related to disclosers’ use of social words. Compassionate goals that seek mutually beneficial outcomes may help disclosers communicate information about their stigma more effectively, and attenuate dyad members’ feelings of emotional distress.

Misattribution stigma and contagion: How did the art auction market react to Australian “Black art scandals”?

AbstractIn 1999, two major stories hit the media concerning the authenticity of artworks by two of Australia’s leading Indigenous artists. The incidents were quickly tagged as ‘Black art scandals’, with the artists disavowing production of the artworks in question. We theorize the market impacts using the lens of stigma, given that, in the art market, uncovering fakes and forgeries may create a panic among buyers of an artist. Our proposed mechanism is that negative media attention about works misattributed to an artist stigmatizes the artist’s name and their artworks. We also note the potential stigma transfer to other artists in a style or genre (category-level contagion). Our results show a decline in the clearance rate and some weak evidence of a fall in the value of sales for auctions occurring after the news stories broke. We suggest stigma as a lens for future work in cultural economics.

The National Counterterrorism Agency's Efforts to Improve Intelligence Institution Collaboration in Countering Terrorism in Indonesia

Lack of intelligence collaboration is considered to be one of the fundamental problems in tackling terrorism in Indonesia. However, amidst the negative attention, there are efforts by BNPT (National Counterterrorism Agency) to improve collaboration between intelligence agencies. By using Weiss's theory to analyze various statements from public officials and state institutions regarding the issue of intelligence agency cooperation in Indonesia, this paper finds two important conclusions. First, efforts to encourage the formation of intelligence collaboration have actually been carried out by BNPT by equalizing perceptions among various intelligence agencies in viewing the problems and issues of terrorism. This is evidenced by a series of training conducted by BNPT in the period 2020-2023 which aims to encourage synergy between intelligence agencies related to terrorism issues. Second, still in line with what Weiss revealed, BNPT's steps with this series of training are inseparable from the external pressure sourced from public opinion in encouraging the formation of cooperation. In this case, the strong public demand for the importance of intelligence collaboration in dealing with the problem of terrorism is inseparable from the intensity of terrorism attacks that occurred from 2016 to 2021. The bomb attacks that occurred during this period led to polemics over the function of intelligence, which in turn shows the importance of intelligence collaboration as an important component of counterterrorism.

"Not Only a Matter of Personal Interest"-Vaccination Narratives and the Model of Moral Motives in China and Germany.

Understanding vaccination decision-making processes is vital for guiding vaccine promotion within pandemic contexts and for routine immunization efforts. Vaccine-related attitudes influencing individual decision-making can be affected by broader cultural and normative contexts. We conducted 73 qualitative interviews with adults in China (n = 40) and Germany (n = 33) between December 2020 and April 2021 to understand COVID-19 vaccination intentions and preferences, and we analyzed transcripts using a five-step framework approach. During early analysis, we identified moral considerations in line with the tenets of the Model of Moral Motives (MMM) as a recurrent theme in the data. The MMM guided further analysis steps, particularly with its distinction between motives that are proscriptive (focus on avoiding harm by inhibiting "bad" behavior) and prescriptive (focus on actively seeking positive outcomes). Proscriptive vaccination arguments that compelled vaccination in our data included avoiding negative attention, being a law-abiding citizen, preventing harm to others, and protecting one's country. Prescriptive motives focused on self-efficacious behavior such as protecting the health of oneself and others via widespread but voluntary vaccination, prioritizing elderly and predisposed individuals for vaccination, and favoring a fair and equitable distribution of vaccines at the global level. In the interviews in China, both lines of arguments emerged, with a general tendency toward more proscriptive reasoning; interviews conducted in Germany tended to reflect more prescriptive motives. We encourage research and vaccine promotion practice to reflect moral considerations when aiming to understand public health preventive behavior and when developing tailored health promotion campaigns.

Why mow?: A review of the resulting ecosystem services and disservices from mowing turfgrass

AbstractTurfgrasses are those grasses that tolerate frequent mowing. The act of mowing turfgrasses, primarily lawn mowing, has received much negative attention primarily due to its labor requirement and the resulting mower emissions. This paper provides a comprehensive review of the benefits and drawbacks of mowing grasses, specifically turfgrasses used on lawns, parks, golf courses, and sports fields, using an ecosystem services and disservices framework. Discussed is the challenge of creating a “one‐size‐fits‐all” approach to selecting the best mowing management practices and sociocultural tensions that exist related to lawn mowing. Discussion also includes the benefits and value gained from mowing turfgrass and strategies to mitigate ecosystem disservices that result from mowing.

Posttraumatic Stress Disorder in Children: A Narrative Review

Method: This narrative review summarizes research from the years 2019-2024 on posttraumatic stress disorder (PTSD) and posttraumatic stress symptoms (PTSS) in children. Results: This research suggests that prevalence rates have been highly variable as a function of the stress experienced, for example, post-surgery (15%), following exposure to war (28%) and following head injury (34%). The negative effects have included cognitive dysfunction, aggression and other behavioral difficulties and the comorbidities include sleep disorders, somatic symptoms and depression. Predictors/risk factors have been the primary focus in this literature and have included parent risk factors including exposure to intimate partner violence, sexual and emotional abuse. Sensory modulation and cognitive processes have been implicated as, for example, negative attention bias and subjective threat. Injuries and hospitalizations have been predictors as has been exposure to explosions and earthquakes. The most frequently studied intervention has been cognitive behavioral therapy which has consistently reduced the symptoms of PTSD. Potential underlying biological mechanisms have included parent PTSD, pregnancy inflammation, and autonomic dysregulation including low cortisol and heartrate, although reduced cortical thickness (volume) in several areas of the brain has been the most frequently studied potential mechanism. Discussion: The studies in this review highlight the prevalence and severity of posttraumatic stress disorder in children. However, they have been primarily based on mixed-age child and adolescent samples and the results have varied by the type of stress experienced and the severity of the stress.

Exploring Attention Bias Mechanisms in Sub-Threshold Depression: ERP Insights into Biased Orientation and Disengagement.

Individuals with depression may have alterations in attention that begin at the sub-threshold stage. This study explored attention bias from the perspectives of early attention orientation and late attention disengagement in individuals with sub-threshold depression (SD) and healthy control (HC) individuals using a cue-target paradigm and event-related potentials (ERPs). The study enrolled 46 participants, comprising 23 males and 23 females, with 25 individuals in the SD group and 21 in the HC group, exceeding the calculated sample size requirement. The data were analyzed from two aspects. Behavioral data showed that SD individuals had difficulty in attention disengagement and that the time of attention transfer was delayed. Analysis of ERP data revealed that, regardless of the attributes of the emotional stimulus, the cue information promoted participants' response to the target stimulus. While SD individuals did show directional acceleration of attention to the emotional stimulus, no significant negative attention bias was observed. Taken together, these findings suggest that SD individuals do not show specific directional acceleration of attention to negative stimuli in the early stage of attention processing, although there may be attention avoidance.

Generative AI and the public-speaking course: A critical communication pedagogy approach

This article offers a semester-long approach to using generative AI in the public-speaking course. Using critical communication pedagogy, the authors provide practices to navigate the turbulence that has followed the emergence of publicly available generative AI tools. These tools have received negative attention because of their potential to facilitate academic dishonesty and undermine the learning process. Despite this concern, we’ve chosen to embrace these tools and the transformative power they have for public-speaking curricula. Course Public Speaking. Objectives Create an environment of co-learning with students; formulate expectations for student use of AI; develop a reflective process for students to critically evaluate AI material; and design assignments to encourage critical thinking skills.

Adolescents' trait mindfulness and psychological stress: The mediating role of attention.

Based on the Combined Cognitive Biases Hypothesis, the current study via two parallel studies aims to explore the potential mediating role of attention biases and attention control regarding the link between trait mindfulness and psychological stress in adolescents. For Study 1, we collected self-reported data from 2123 Chinese adolescents (mean age = 15.6 years, SD = 2.37; 52.8% female) in four schools. The participants completed measures of trait mindfulness, perceived stress, and attention bias. Mediation analysis was employed to investigate the potential mediating effect of attention bias. In Study 2, 123 participants (mean age = 17.7 years, SD = 2.68; 41.46% female) completed the attention network task after inducing attention bias. Then, trait mindfulness and perceived stress were measured. Mediation analysis was employed to investigate the potential mediating effect of attention control (alerting, orienting, and conflict monitoring) under attention bias. Study 1 demonstrated a significant mediating effect of negative attention bias ([-0.13, -0.07], p < .05) but not positive attention bias in the relationship between trait mindfulness and psychological stress. Study 2 revealed that conflict monitoring in negative attention bias ([-0.41, -0.16], p < .05), rather than alerting and orienting in negative attention bias, showed a significant mediating effect on the association between trait mindfulness and psychological stress. Findings from the two studies suggest that conflict monitoring during negative attention bias may be the underlying mechanism through which trait mindfulness helps mitigate psychological stress in adolescents.

Taking the next step: How student reflective essays about difficult clinical encounters demonstrate professional identity formation.

Difficult clinical encounters pose emotional and behavioural challenges for medical students. Unless resolved, they threaten students' professional competence and well-being. Learning how to humanistically interact with patients perceived as "difficult" is an important component of the developmental process that underlies professional identity formation (PIF). This study used thematic analysis to examine reflective essay data from the same set of students (N = 69), first in their third year and then in their fourth year of training at a US public medical school. Analysis focused on how student perceptions of patients', preceptors', and their own behaviour, attitudes, and emotions in difficult patient care situations evolved over time, and how such evolution contributed to their professional growth. Students identified clinical predicaments influenced by their own emotions and behaviour, as well as those of patients and preceptors. In response to patients perceived as angry, rude, and uncooperative, students described themselves and their preceptors primarily as engaging in routine medical behaviours, followed by expressions of empathy. These encounters resulted in residual emotions as well as lessons learned. Fourth-year students reported more empathy, patient-centeredness, and patient ownership than third-year students. While student-physicians grew in professionalism and compassion, they also noted unresolved distressing emotions post-encounter. From third to fourth year, medical students undergo a process of professional growth that can be documented at a granular level through their perceptions of themselves, their patients, and their preceptors. Despite positive professional growth, students' lingering negative affect merits attention and support from clinical teachers.

Loneliness and brain rhythmic activity in resting state: an exploratory report.

Recent studies using resting-state functional magnetic resonance imaging have shown that loneliness is associated with altered blood oxygenation in several brain regions. However, the relationship between loneliness and changes in neuronal rhythm activity in the brain remains unclear. To evaluate brain rhythm, we conducted an exploratory resting-state electroencephalogram (EEG) study of loneliness. We recorded resting-state EEG signals from 139 participants (94 women; mean age = 19.96 years) and analyzed power spectrum density (PSD) and functional connectivity (FC) in both the electrode and source spaces. The PSD analysis revealed significant correlations between loneliness scores and decreased beta-band powers, which may indicate negative emotion, attention, reward, and/or sensorimotor processing. The FC analysis revealed a trend of alpha-band FC associated with individuals' loneliness scores. These findings provide new insights into the neural basis of loneliness, which will facilitate the development of neurobiologically informed interventions for loneliness.

Torture Exposure Modulates Cognitive Control and Attention Neural Network Connectivity During a Go/NoGo Task

BackgroundTorture trauma is characterized by intentional uncontrollable acts, but the long-term effects of torture exposure on cognitive control brain mechanisms are unknown. MethodsA final sample of 33 torture survivors (TSs) and 44 non-TSs, all with a refugee background, completed a Go/NoGo response inhibition task during functional magnetic resonance imaging scanning. Data-driven independent component analysis identified active networks across the task and on Go, NoGo, and error of commission trials. Groups were compared on within-/between-network connectivity while for demographic and psychological symptom covariates were controlled for. Secondary analyses investigated whether network connectivity moderated the associations between torture exposure and severity on fear (e.g., re-experiencing) and dysphoria (e.g., anhedonia) posttraumatic stress disorder symptoms. ResultsThe TS group exhibited decreased connectivity (compared with the non-TS control group) within the posterior default mode network (specifically the left precuneus) and auditory-motor network (specifically the right superior temporal gyrus) and reduced connectivity between the dorsomedial frontal network and dorsal attention network across the Go/NoGo task. The TS group also showed more negative ventral attention network connectivity during NoGo (i.e., inhibition) trials. No behavioral effects were observed. Secondary analyses revealed that the association between torture exposure and elevated posttraumatic stress disorder dysphoria (not fear) symptoms was moderated by reduced connectivity in the right superior temporal gyrus and between the dorsomedial frontal network and the dorsal attention network. ConclusionsResponse inhibition, attention, and motor networks appear to be less connected in TSs, which may be specifically linked to posttraumatic stress disorder dysphoria symptom profiles. The findings suggest that targeting cognitive control processes may hold promise for alleviating posttraumatic symptoms among survivors of torture.

Tax disclosure strategies and reputational risks: An exploration based on the standard GRI 207

The Global Reporting Initiative (hereafter the GRI), a pioneer organization focusing on sustainability reporting standards, introduced a new standard dedicated to tax reporting in 2019 (GRI 207: Tax), supporting tax disclosure as a material CSR issue.Accordingly, we examine tax disclosure as framed by GRI 207. The literature on CSR reporting shows that companies increase CSR disclosures to mitigate negative attention to CSR issues. Based on this literature, we hypothesize that tax disclosure, framed by GRI 207, is positively associated with firms’ reputational risks (RRs). Our sample is composed of the 120 largest listed companies on the French financial market that are the most exposed to scrutiny. The data are collected for the year 2019.We use linear regressions to identify the determinants of tax disclosure strategies. As expected, greater RRs are associated with higher tax disclosure. According to the GRI 207 items on disclosure, three strategies are identified with reference to the CSR pyramid by Carroll (1991). We find that reputational risks, as measured as the presence of tax havens and financial controversies, are associated with distinct tax disclosure strategies. The issuance of a disclosure standard is not a guaranty of greater transparency.To our knowledge, our study is the first to examine tax disclosure strategies framed by the most recent standard of GRI 207 as part of CSR reporting. We provide several implications and directions for future research.

High-frequency and low-frequency dual-channel graph attention network

Most existing graph convolution layers use learnable or fixed weights to sum up neighbor features to aggregate neighbor information. Since the attention values are always positive, these graph convolution layers perform as low-pass filters, which may result in their poor performance on heterophilic graphs. In this paper, two graph convolutional layers are proposed, HLGAT and NGAT. NGAT is a convolution network using only negative attention values, which only make the aggregation of high-frequency information of neighbor nodes. HLGAT makes the aggregation of low-frequency and high-frequency information by two channels, respectively, and fuses two outputs by using a learnable way. On node-classification task, both NGAT and HLGAT offer significant performance improvement compared to existing methods. The results clearly show that: (1) High-frequency information of neighborhoods plays a decisive role in heterophilic graphs. (2) The aggregation of low-frequency and high-frequency information of neighbor nodes can significantly improve the performance on heterophilic graphs.

A pathway towards corporate sustainability: Does media attention matter?

Examining informal institutional drivers of corporate sustainability is crucial. This study employs a sample of A-share listed firms in China from 2007 to 2020 to empirically examine the relationship between media coverage and ESG performance. It is demonstrated that media attention enhances corporate accountability, especially the print media and positive attention. And environmental investments and green innovation are the main mechanisms. It also reveals that media attention has a greater impact on larger firms, those with better internal controls, firms located in the eastern region, and manufacturing firms. Our findings help deepen the understanding of media's role in corporate development and highlight how informal institutions can promote sustainable economic growth in developing countries.

The role of border carbon adjustments and subsidies in incentivising investment: comparing equivalence in the context of steel recycling and decarbonisation

The need to decarbonise has accelerated the quest to find solutions for sectors considered emissions-intensive and trade-exposed. Steel production is one such sector. Policymakers are responding with market-pull and technology-push mechanisms. Risks of carbon leakage have prompted consideration and implementation of border carbon mechanisms. Measures have drawn both positive and negative attention in internationally traded markets. This research quantifies the equivalence of differing measures to promote decarbonisation. It simulates the annual cost-saving equivalent and net present values of different mechanisms in a theoretical conversion to steelmaking with Electric Arc Furnace (EAF) technology from traditional steel production. It demonstrates that, under certain assumptions including removal of free allocation of emissions certificates, incentives per tonne of direct and indirect greenhouse gas emissions for carbon pricing and border carbon adjustments lie in the range EUR 18–76 whereas for cost-of-capital support measures it was EUR 24–41 per tCO2e. Whether firms act upon these incentives will depend on appetite for risk, availability of technology, feedstocks, choice they have in making changes and perceived sustainability of the assumptions made in investment analysis. There are implications for regulators, policy makers and managers as they prepare strategies to be competitive in an increasingly carbon-constrained environment.

Graph Aggregating-Repelling Network: Do Not Trust All Neighbors in Heterophilic Graphs

Graph neural networks (GNNs) have demonstrated exceptional performance in processing various types of graph data, such as citation networks and social networks, etc. Although many of these GNNs prove their superiority in handling homophilic graphs, they often overlook the other kind of widespread heterophilic graphs, in which adjacent nodes tend to have different classes or dissimilar features. Recent methods attempt to address heterophilic graphs from the graph spatial domain, which try to aggregate more similar nodes or prevent dissimilar nodes with negative weights. However, they may neglect valuable heterophilic information or extract heterophilic information ineffectively, which could cause poor performance of downstream tasks on heterophilic graphs, including node classification and graph classification, etc. Hence, a novel framework named GARN is proposed to effectively extract both homophilic and heterophilic information. First, we analyze the shortcomings of most GNNs in tackling heterophilic graphs from the perspective of graph spectral and spatial theory. Then, motivated by these analyses, a Graph Aggregating-Repelling Convolution (GARC) mechanism is designed with the objective of fusing both low-pass and high-pass graph filters. Technically, it learns positive attention weights as a low-pass filter to aggregate similar adjacent nodes, and learns negative attention weights as a high-pass filter to repel dissimilar adjacent nodes. A learnable integration weight is used to adaptively fuse these two filters and balance the proportion of the learned positive and negative weights, which could control our GARC to evolve into different types of graph filters and prevent it from over-relying on high intra-class similarity. Finally, a framework named GARN is established by simply stacking several layers of GARC to evaluate its graph representation learning ability on both the node classification and image-converted graph classification tasks. Extensive experiments conducted on multiple homophilic and heterophilic graphs and complex real-world image-converted graphs indicate the effectiveness of our proposed framework and mechanism over several representative GNN baselines.

Voice Disorder Prevalence and Vocal Health Characteristics in Children

Voice disorders impede communication and limit quality of life for many children. However, research demonstrating the prevalence of pediatric voice problems and associated voice use patterns is scarce. This investigation examined the prevalence of voice problems and vocal health characteristics of school-aged children. To examine the prevalence of voice problems in school-aged children throughout the US with reference to lifestyle, demographic characteristics, and voice use patterns. This study used a cross-sectional design to survey a probability sample of caregivers of children aged 4 to 12 years living throughout the US in 2023. Caregivers were surveyed regarding their children's voice use, voice symptoms, voice problems, extracurricular activities, and demographic information. Caregivers also competed the Pediatric Voice-Related Quality of Life questionnaire. The Fisher exact test, χ2 tests, and logistic regression were used to compare children with and without voice problems. Overall, 6293 panelists were invited to complete screening questions for the survey, and 1789 individuals were screened for eligibility between March and April 2023. Of these, 1175 parents (65.7%) completed the survey. Twenty-one (1.8%) were excluded for a combination of either high refusal rates (n = 16), speeding (n = 2), or straight lining (n = 12). The final number of participants included in analysis was 1154 caregivers of children aged 4 to 12 years (559 female children [48.4%]; 595 male children [51.6%]; mean [SD] age, 8.02 [2.49] years). The prevalence of voice problems in children was 6.7% (n = 78), and the lifetime prevalence was 12% (n = 138). Benign vocal fold lesions was the most common diagnosis underlying voice complaints, and other causes included respiratory illness, allergies, autism-related voice issues, and other neurological conditions. Risk factors for pediatric voice problems included being male (odds ratio [OR], 1.47; 95% CI, 1.0-2.1), having more than 4 individuals living in the household (OR, 2.30; 95% CI, 1.2-4.4), poor speech intelligibility (OR, 2.26; 95% CI, 1.2-4.3), maternal history of voice problems (OR, 4.54; 95% CI, 1.2-16.4), participating in online gaming (OR, 1.56; 95% CI, 1.0-2.3), and secondhand smoke exposure (OR, 1.7; 95% CI, 1.1-2.6). Voice use-related risk factors included frequent talking, coughing, throat clearing, tantrums/crying, and vocal strain. Voice problems were associated with substantially detracted quality of life as measured by the Pediatric Voice-Related Quality of Life questionnaire, limited social/extracurricular interactions, increased school absences, and negative attention from adults. The results of this survey study suggest that pediatric voice problems are relatively common and detract from quality of life. Specific environmental and behaviorial factors are associated with increased risk for voice disorders.

The Maintenance Model of Restrictive Practices: A Trauma-Informed, Integrated Model to Explain Repeated Use of Restrictive Practices in Mental Health Care Settings

Nurses are at the forefront of care in mental health services but their role is conflicted; they carry the most responsibility for care and also for restrictive practices. The harmful effects of restrictive practices for mental health patients are well documented, have attracted negative media attention, public concern, and criticism directed specifically at nursing staff. The need to reduce restrictive practices has been highlighted by patients, carer groups, legislators, policy makers, academics, and mental health service providers. Policies and best practice guidelines have resulted, but restrictive practices remain a global problem. This theory paper proposes that inertia is partly due to the absence of a coherent model that explains the initiation and maintenance of restrictive practice in inpatient mental health settings. The conceptual development and synthesis of the model and its practical implications are discussed.

Negative attention bias and attentional control as mechanisms in the association between insomnia and depression in young people

Evidence supports a causal role of insomnia in the development and maintenance of depression, yet mechanisms underlying this association in young people are not well established. Attention biases have been implicated separately in the sleep and depression fields and represents an important candidate mechanism. Poor sleep may lead to a negative attention bias (characteristic of depression) by impacting attentional control. This study assessed the hypothesis that attentional control and negative attention bias would sequentially mediate the relationship between insomnia and depressive symptoms in an unselected sample of young people (17–24 years). Concerns have been raised regarding the psychometric properties of tasks used to measure attention bias, and a Dual-Probe Task is emerging as a more reliable measure. Participants (N = 275, Male = 59, Mage = 19.40) completed the Dual-Probe Task, a behavioural measure of attentional control, and self-report measures of insomnia and depression. Participants completed a one-week sleep diary. Results were consistent with negative attention bias, but not attentional control, as a mechanism which partially accounts for the relationship between sleep (i.e., insomnia severity, sleep duration, sleep efficiency, sleep latency) and depression. This study highlights sleep and negative attention bias as potentially modifiable risk factors to reduce depressive symptoms in young people.