A long-standing debate in political psychology considers whether individuals update their beliefs and attitudes in the direction of evidence or grow more confident in their convictions when confronted with counter-attitudinal arguments. Though recent studies have shown that instances of the latter tendency, which scholars have termed attitude polarization and “belief backfire,” are rarely observed in settings involving hot-button issues or viral misinformation, we know surprisingly little about how participants respond to information targeting deeply held attitudes, a key condition for triggering attitude polarization. We develop a tailored experimental design that measures participants’ core issue positions and exposes them to personalized counter-attitudinal information using the large language model GPT-3. We find credible evidence of attitude polarization, but only when arguments are contentious and vitriolic. For lower valence counter-attitudinal arguments, attitude polarization is not detected. We conclude by discussing implications for the study of political cognition and the measurement of attitudes.

Social scientists often classify text documents to use the resulting labels as an outcome or a predictor in empirical research. Automated text classification has become a standard tool since it requires less human coding. However, scholars still need many human-labeled documents for training. To reduce labeling costs, we propose a new algorithm for text classification that combines a probabilistic model with active learning. The probabilistic model uses both labeled and unlabeled data, and active learning concentrates labeling efforts on difficult documents to classify. Our validation study shows that with few labeled data, the classification performance of our algorithm is comparable to state-of-the-art methods at a fraction of the computational cost. We replicate the results of two published articles with only a small fraction of the original labeled data used in those studies and provide open-source software to implement our method.

This qualitative research sought to identify factors influencing patient choice of, and patient-related internal and external enablers and barriers to engagement with, type 2 diabetes (T2D) remission strategies offered by the Remission in diabetes (REMI.D) project. Patients had a choice of three diets: Total Diet Replacement (TDR)-Formula Food Products, TDR-Food, and Healthy lifestyle approach; and three activity pathways: Everyday life, General Practitioner referral, and Social hub. Semi-structured interviews were recorded and transcribed. Thematic analysis used the Framework Method and NVivo 12 to assist with generation and organisation of codes, inductive and deductive (Theoretical Domains Framework). The REMI.D project was a place-based approach (place in this case being defined as two local authorities with significant rates of deprivation) situated in the North East of England. Twenty patients out of a possible 65 patients took part. Areas of interest included: patient choice, patient intention, patient adherence, patient non-adherence, and patient stigma. Addition of a more moderate dietary strategy (not dissimilar to the diet in the Healthier You NHS Diabetes Prevention Programme) to the existing NHS England T2D Path to Remission programme may enable more patients to achieve remission or delayed progression with deprescribing of diabetes medications. Embedding a tailored physical activity path within or as a bolt-on to the NHS programme requires consideration. Limited resources should be targeted towards patients who identify with more barriers or fewer opportunities for health behaviour modification. Further research on use of virtual programmes in deprived areas is warranted.

This article presents Latinx political thought as a distinctive tradition in political theory that reworks central concepts in response to historical experiences of conquest, colonialism, migration, and transnational politics. In reconstructing this tradition, we argue that its problem space converges with US-based Latin American political thought. The article first traces a genealogy of Latinx political theory and then explores three realms of theorizing around which Latinx and Latin American political thought cluster: sovereignty and state violence, peoplehood, and transnationalism. We explain how the surveyed works disrupt and enrich political theory accounts of these problems. In arguing for the recognition of this field as a tradition, the article also aims to make it intelligible as an area of concentration for PhD students in political science.

I draw together theories of partisan polarization and motivated reasoning, which suggest that partisanship shapes information processing, and theories of accountability, which argue voters hold elected officials accountable through promise fulfillment. Here, I ask how partisanship influences voter understanding of promise fulfillment and accountability and if voters assess promises through a partisan lens. Two original survey experiments test how respondents react to promise fulfillment on the issues of immigration and human trafficking. I demonstrate that co-partisans differentiate between kept and broken promises, but out-partisans do not. Despite partisan differences, respondents evaluate promise-keeping when asked about accountability but not when asked about approval. Thus, even when voters recognize broken promises, accountability is influenced by partisanship. Immigration, a more polarized issue, is more likely to prime a partisan response than human trafficking, a less polarized issue. Future work must account for partisanship in accountability and what this means for our understanding of fundamental democratic principles.

Hybrid whole genome sequencing was used to investigate if nosocomial Verona integron-encoded metallo-β-lactamase (VIM) carbapenemase transmission occurred between two patients without epidemiological links or common pathogens. Challenges in genomic methodology and appropriate analytical depth for mobile carbapenemase outbreaks are described including how inappropriate choices can mislead results and impact infection control practices.

To make a valid will, a person should be able to understand the nature and consequences of doing so, the extent of their estate and the claims others may have on it. No disorder of mind should be present that would affect their testamentary decisions, and clinicians are therefore often asked to give an opinion on whether a person has testamentary capacity. This article discusses the legal issues involved, with reference to UK case law (in particular, the legal test of Banks v Goodfellow (1870)), and outlines the requirements of testamentary capacity assessment (including retrospective assessments), the clinician's responsibilities when requested by a solicitor to make an assessment of capacity (‘the golden rule’) and what they might expect if appearing in court to give expert witness regarding testamentary capacity. Fictitious case studies are presented illustrating certain points in testamentary capacity assessment.

Vigilante violence, often targeting religious and sectarian minorities and preceded by unsubstantiated rumors, has taken the lives of many citizens in India and Pakistan in recent years. Despite its horrific nature, such vigilantism receives popular support. Can reducing the credibility of rumors via corrections decrease support for vigilantism? To answer this question, we field simultaneous, in-person experiments in Punjab, Pakistan, and Uttar Pradesh, India, regions where anti-minority vigilantism has been preceded by misinformation. We find that correcting rumors reduces support for vigilantism and increases the desire to hold vigilantes accountable. This effect is not attenuated by prior distrust toward out-groups. By contrast, information about state and elite behavior does not always shape attitudes toward vigilantism. These findings provide evidence that support for vigilantism can be reduced through the dissemination of credible information, even in polarized settings.

Children with Severe Acute Malnutrition (SAM) are at risk of developmental problems. Psychosocial stimulation can improve the developmental outcomes of hospitalised children with SAM. However, the intervention has remained underutilised in health facilities in resource-poor settings. Moreover, there is limited evidence on the acceptability and feasibility of the intervention. We conducted a qualitative study to explore the acceptability and feasibility of integrating psychosocial stimulation interventions in the inpatient care of children with SAM in selected areas in the Silti Zone, Central Ethiopia. Nine focus group discussions and 15 key informant interviews were conducted with parents, health workers, and other stakeholders. The data were transcribed, translated, and analysed using a thematic approach. Caregivers and health workers had positive attitudes toward the intervention and perceived it beneficial for the children’s development, recovery, and bonding with the mothers. Health workers reported barriers such as lack of materials, time, and space, capacity building training, and supervision for the effective implementation of the intervention. At the household level, gendered factors such as the housework burden of mothers and the inadequate engagement of fathers in childcare were the main challenges to the implementation of the intervention. Overall, psychosocial stimulation intervention was found to be acceptable and feasible for routine implementation with inpatient care provided for children with SAM. The study recommends supporting health facilities, health workers, and partners with the necessary resources and skills to promote the implementation of stimulation interventions along with the existing care provided in health facilities in resource-poor settings.

Children’s eating habits are established early in life and parents play a major role therein. Pregnancy is a teachable moment for the promotion of healthy eating because many women are concerned about their babies’ health and have frequent contact with healthcare providers. We aimed to investigate the association between diet quality during pregnancy and the offspring. A total of 691 sets of data on pregnant mothers and their 3-year-old offspring were obtained from the Seiiku Boshi cohort study. Dietary intake was assessed using a validated food frequency questionnaire for mothers in mid-to-late pregnancy and a validated diet history questionnaire for Japanese preschool children at the 36-month checkup. Diet quality was scored using the Japanese Food Guide Spinning Top. Maternal diet quality score was categorised into quartiles, and the association between offspring and maternal diet quality score, adjusted for socioeconomic factors, was assessed using multiple linear regression. The total offspring diet quality score showed a linear trend with the maternal diet quality score (the mean increments (confidential intervals) for each quartile were –0.12 (–1.32–1.08), 1.54 (0.34–2.73), and 1.22 (0.03–2.42)). In particular, offspring vegetable dishes scored higher in all quartiles of maternal vegetable dish scores than in the lowest quartile (0.69 (0.21–1.17), 0.97 (0.50–1.45), and 1.36 (0.88–1.83)). A high diet quality score during pregnancy was positively associated with that of offspring, suggesting the importance of nutritional education in pregnant women to improve their diet quality.

American voters consume an astounding amount of entertainment media, yet its political consequences are often neglected. We argue that this ostensibly apolitical content can create unique opportunities for politicians to build parasocial ties with voters. We study this question in the context of Donald Trump’s unconventional political trajectory and investigate the electoral consequences of The Apprentice. Using an array of data—content analysis, surveys, Twitter data, open-ended answers—we investigate how this TV program helped Trump brand himself as a competent leader and foster viewers’ trust in him. Exploiting the geographic variation in NBC channel inertia, we find that exposure to The Apprentice increased Donald Trump’s electoral performance in the 2016 Republican primary. We discuss the implications of these findings in light of the rise of nonconventional politicians in this golden age of entertainment.

Although commentators often point to the political value of legislators’ geographic ties, less is known about the influence of such connections once in office. Given recent scholarship underscoring the importance of geography as a dimension of identity, we argue that local legislators should behave as descriptive representatives. We collect the hometowns of all members of Congress with known birth locations from 1789 to 2020 to analyze how being born near one’s district impacts legislator behavior. We connect these data to information on a series of behaviors, finding that local legislators emphasize constituency work over policymaking and party-building. Moreover, while local legislators do not demonstrate substantively less partisan unity in roll-call voting, they attract a higher percentage of out-party cosponsors to their bills. Together, our results point to important representational implications regarding the geographic roots of legislators and the role of local connections in the contemporary Congress.