Has the Supreme Court become just another political branch? Public perceptions of court approval and legitimacy in a post-Dobbs world.

Have perceptions of the U.S. Supreme Court polarized, much like the rest of American politics? Because of the Court's unique role, for many years, it remained one of the few institutions respected by both Democrats and Republicans alike. But the Court's dramatic shift to the right in recent years-highlighted by its Dobbs decision in 2022-potentially upends that logic. Using both eight waves of panel data and 18 nationally representative surveys spanning two decades, we show that while there was little evidence of partisan polarization in earlier years, in 2022 and 2023, such patterns are clear in favorability, trust, legitimacy, and support for reform. Factors that used to protect the Court-like knowledge about it and support for key democratic values-no longer do so. The Court has also become more important to voters, and will likely remain a political flashpoint, with disquieting implications for the Court's place in our polity.

The role of non-COVID-specific and COVID-specific factors in predicting a shift in willingness to vaccinate: A panel study.

Although declines in intent to vaccinate had been identified in international surveys conducted between June and October 2020, including in the United States, some individuals in the United States who previously expressed reluctance said, in spring 2021, that they were willing to vaccinate. That change raised the following questions: What factors predicted an increased willingness to inoculate against COVID-19? And, to what extent was the change driven by COVID-specific factors, such as personal worry about the disease and COVID-specific misinformation, and to what extent by background (non-COVID-specific) factors, such as trust in medical authorities, accurate/inaccurate information about vaccination, vaccination history, and patterns of media reliance? This panel study of more than 8,000 individuals found that trust in health authorities anchored acceptance of vaccination and that knowledge about vaccination, flu vaccination history, and patterns of media reliance played a more prominent role in shifting individuals from vaccination hesitance to acceptance than COVID-specific factors. COVID-specific conspiracy beliefs did play a role, although a lesser one. These findings underscore the need to reinforce trust in health experts, facilitate community engagement with them, and preemptively communicate the benefits and safety record of authorized vaccines. The findings suggest, as well, the need to identify and deploy messaging able to undercut health-related conspiracy beliefs when they begin circulating.

Investigating harmful and helpful effects of watching season 2 of 13 Reasons Why: Results of a two-wave U.S. panel survey.

RATIONALE: The Netflix show 13 Reasons Why (2017) aroused widespread concern regarding potential contagious effects of its graphic depiction of an adolescent girl's suicide and the events that led to her death. OBJECTIVE: To explore the effects of the second season of the show in 2018. METHOD: We recruited a sample of young adults (ages 18-29; N = 729) with access to Netflix who completed surveys shortly before and one month after the release of the show's second season. Based on theories of narrative empathy, we hypothesized that those who discontinued watching the show would be most vulnerable to its adverse effects on suicide-relevant outcomes. We further identified a higher risk subset of viewers who were more likely to have stopped watching the first season (those currently enrolled in school) in order to observe if the show had more adverse effects on this audience. Finally, we examined effects of the show on all viewers' intentions to help a suicidal person as a prosocial consequence of viewing the entire second season. We used both covariance and "genetic" matching to control for selection effects. RESULTS: In support of predictions, viewers who stopped watching the second season exhibited greater suicide risk and less optimism about the future than those who continued to the end. However, unexpectedly, current students who watched the entire second season reported declines in suicide ideation and self-harm relative to those who did not watch the show at all (ps < .01). Moreover, those who watched the entire second season were also more likely to express interest in helping a suicidal person, especially compared to those who stopped watching. CONCLUSION: The results suggest that a fictional story with a focus on suicidal content can have both harmful and helpful effects.

Correction: Perceptions of health risks of cigarette smoking: A new measure reveals widespread misunderstanding.

[This corrects the article DOI: 10.1371/journal.pone.0182063.].

Motivations for Participation in an Online Social Media Community for Diabetes.

BACKGROUND: Our objectives were to describe individuals' motivations for participation in an online social media community and to assess their level of trust in medical information provided by medical professionals and community members. METHODS: A purposive survey was delivered to participants recruited through posts on the CGM in the Cloud group, Twitter, and blogs. Individuals were asked a series of demographic and social media use questions. RESULTS: A total of 1268 members of the CGM in the Cloud community responded to the survey. The majority were non-Hispanic White (92.1%) and caregivers of an individual with diabetes (80.9%). Mean age was 41 years old, and 74.8% were female. Primary goals of the Facebook group were to learn more about Nightscout technology and to receive technological assistance. Individuals provided assistance to the community through spreading awareness, technical assistance, support, and donation. Respondents put a high level of trust in their peers versus health professionals in many health situations with nearly 40% of individuals reported to be helped by following advice found in the Facebook group, and 99% reported no harm. CONCLUSIONS: Our findings suggest that patients with diabetes and their caregivers use social media for many health-related purposes including medical recommendations and technical support for medical devices and systems as well as emotional support.

It's not my consensus: Motivated reasoning and the sources of scientific illiteracy.

Individuals who provide incorrect answers to scientific knowledge questions have long been considered scientifically illiterate. Yet, increasing evidence suggests that motivated reasoning, rather than ignorance, may explain many of these incorrect answers. This article uses novel survey measures to assess two processes by which motivated reasoning might lead to incorrect personal beliefs: motivated individuals may fail to identify the presence of a scientific consensus on some issue or they may recognize a consensus while questioning its veracity. Simultaneously looking at perceptions of what most scientists say and personal beliefs, this study reveals that religiosity and partisanship moderate the extent to which Americans identify scientific consensuses and assert beliefs that contradict their perceptions of consensus. Although these pathways predict the scope of disagreement with science for each of 11 issues, the relative prevalence of each process depends on both the scientific issue and motivational pathway under examination.

Perceptions of health risks of cigarette smoking: A new measure reveals widespread misunderstanding.

Most Americans recognize that smoking causes serious diseases, yet many Americans continue to smoke. One possible explanation for this paradox is that perhaps Americans do not accurately perceive the extent to which smoking increases the probability of adverse health outcomes. This paper examines the accuracy of Americans' perceptions of the absolute risk, attributable risk, and relative risk of lung cancer, and assesses which of these beliefs drive Americans' smoking behavior. Using data from three national surveys, statistical analyses were performed by comparing means, medians, and distributions, and by employing Generalized Additive Models. Perceptions of relative risk were associated as expected with smoking onset and smoking cessation, whereas perceptions of absolute risk and attributable risk were not. Additionally, the relation of relative risk with smoking status was stronger among people who held their risk perceptions with more certainty. Most current smokers, former smokers, and never-smokers considerably underestimated the relative risk of smoking. If, as this paper suggests, people naturally think about the health consequences of smoking in terms of relative risk, smoking rates might be reduced if public understanding of the relative risks of smoking were more accurate and people held those beliefs with more confidence.

Real-World Use and Self-Reported Health Outcomes of a Patient-Designed Do-it-Yourself Mobile Technology System for Diabetes: Lessons for Mobile Health.

BACKGROUND: The aim of this study is to compare demographic/disease characteristics of users versus nonusers of a do-it-yourself (DIY) mobile technology system for diabetes (Nightscout), to describe its uses and personalization, and to evaluate associated changes in health behaviors and outcomes. METHODS: A cross-sectional, household-level online survey was used. Of 1268 household respondents who were members of the CGM in the Cloud Facebook group, there were 1157 individuals with diabetes who provided information about Nightscout use. RESULTS: The majority of individuals with diabetes in the household sample were 6-12 years old (followed by 18 years and above, and 13-17 years), non-Hispanic whites (90.2%), with type 1 diabetes (99.4%). The majority used an insulin pump (85.6%) and CGM (97.0%) and had private health insurance (83.8%). Nightscout use was more prevalent among children compared with adolescents and adults. Children used Nightscout for nighttime, school, sporting events, and travel; adults used it for nighttime, work, travel, and sporting events. Whereas the majority of adults viewed their own data without assistance from others, among pediatric users, a median of three individuals (range: 0-8) viewed Nightscout, with a median of three devices per viewer (range: 0-7). Individuals reported that after Nightscout adoption, they checked blood glucose values with a meter less often; bolused more frequently; gave more boluses without checking first with a blood glucose meter; and experienced significant improvements in HbA1c and quality of life. CONCLUSIONS: The Nightscout Project is a patient-driven mobile technology for health and may have beneficial effects on glycemic control and quality of life.

Social Media Analyses for Social Measurement.

Demonstrations that analyses of social media content can align with measurement from sample surveys have raised the question of whether survey research can be supplemented or even replaced with less costly and burdensome data mining of already-existing or "found" social media content. But just how trustworthy such measurement can be-say, to replace official statistics-is unknown. Survey researchers and data scientists approach key questions from starting assumptions and analytic traditions that differ on, for example, the need for representative samples drawn from frames that fully cover the population. New conversations between these scholarly communities are needed to understand the potential points of alignment and non-alignment. Across these approaches, there are major differences in (a) how participants (survey respondents and social media posters) understand the activity they are engaged in; (b) the nature of the data produced by survey responses and social media posts, and the inferences that are legitimate given the data; and (c) practical and ethical considerations surrounding the use of the data. Estimates are likely to align to differing degrees depending on the research topic and the populations under consideration, the particular features of the surveys and social media sites involved, and the analytic techniques for extracting opinions and experiences from social media. Traditional population coverage may not be required for social media content to effectively predict social phenomena to the extent that social media content distills or summarizes broader conversations that are also measured by surveys.