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Misinformation campaigns target wind farms, but levels of agreement with this misinformation among the broader public are unclear. Across six nationally quota-based samples in the United States, United Kingdom, and Australia (total N  = 6008), over a quarter of respondents agree with half or more of contrarian claims about wind farms. Agreement with diverse claims is highly correlated, suggesting an underlying belief system directed at wind farm rejection. Consistent with this, agreement is best predicted (positively) by a conspiracist worldview (i.e., the general tendency to believe in conspiracy theories; explained variance Δ R²  = 0.11–0.20) and (negatively) by a pro-ecological worldview (Δ R²  = 0.04–0.13). Exploratory analyses show that agreement with contrarian claims is associated with lower support for pro-wind policies and greater intentions to protest against wind farms. We conclude that wind farm contrarianism is a mainstream phenomenon, rooted in people’s worldviews and that poses a challenge for communicators and institutions committed to accelerating the energy transition. Six surveys show substantial public agreement with misinformation about wind farms. Agreement with diverse contrarian claims is best predicted by participants’ worldviews, most notably the tendency to believe conspiracy theories.

Successful leadership requires leaders to make their followers aware of expectations regarding the goals to achieve, norms to follow, and task responsibilities to take over. This awareness is often achieved through leader-follower communication. In times of economic globalization and digitalization, however, leader-follower communication has become both more digitalized (virtual, rather than face-to-face) and less frequent, making successful leader-follower-communication more challenging. The current research tested in four studies (three preregistered) whether digitalization and frequency of interaction predict task-related leadership success. In one cross-sectional (Study 1, N = 200), one longitudinal (Study 2, N = 305), and one quasi-experimental study (Study 3, N = 178), as predicted, a higher frequency (but not a lower level of digitalization) of leader-follower interactions predicted better task-related leadership outcomes (i.e., stronger goal clarity, norm clarity, and task responsibility among followers). Via mediation and a causal chain approach, Study 3 and Study 4 ( N = 261) further targeted the mechanism; results showed that the relationship between (higher) interaction frequency and these outcomes is due to followers perceiving more opportunities to share work-related information with the leaders. These results improve our understanding of contextual factors contributing to leadership success in collaborations across hierarchies. They highlight that it is not the digitalization but rather the frequency of interacting with their leader that predicts whether followers gain clarity about the relevant goals and norms to follow and the task responsibilities to assume.

During the COVID-19 pandemic, people believing in political COVID-19 conspiracies likely perceived that the government executed power unfairly (i.e., low procedural justice), which might have contributed to the questioning of the government’s legitimacy. This study examines the relationship between conspiracy beliefs and perceived procedural justice regarding COVID-19 policies during the peak and decay of the pandemic (May/June 2022–September 2023). Additionally, we considered the moderating role of economic and health threat. We tested our hypotheses using data from a five-wave study ( N  = 4939, quota-based). Latent growth curve analysis revealed a negative relationship between conspiracy beliefs (at Time 1) and the starting value of procedural justice (i.e., intercept). Furthermore, conspiracy beliefs were also negatively related to the change of procedural justice over time (i.e., slope): the lower people’s conspiracy beliefs at Time 1, the steeper their increase in procedural justice over time. Health threat weakened the relationship between conspiracy beliefs and the intercept of procedural justice, implying that people with stronger conspiracy beliefs reported lower resentment against COVID-19 policies the more they perceived health threat. Results show the effects of conspiracy beliefs on procedural justice throughout and potentially also beyond the pandemic, while also pointing to important moderators.

Even today, surgical reports are usually dictated in a free text form (FTR), leading to a wide range in report-quality. This study investigated the use of a fully structured panendoscopy report (SR) compared to FTRs. 64 panendoscopies were performed by three experienced head and neck surgeons. The surgical reports were created as both FTRs and SRs, which were examined regarding time to completion and content using a multilevel regression analysis. User satisfaction was evaluated using a questionnaire. There was no significant difference in time to complete the SRs compared to FTRs. The completeness ratings of SRs were significantly higher than for FTRs (81% vs. 66%, p  < 0.001), leading to increased report quality. Overall user satisfaction was higher for SRs than for conventional FTRs (VAS 8.1 vs. 3.5, p  < 0.001). The SRs proved to be fast to complete and more comprehensive with a higher completeness of content. Participating surgeons indicated that they preferred SRs over FTRs because of their advantages in terms of structure, guidance for inexperienced residents and non-native speakers. The data stratification also enables secondary data use to further develop deep learning algorithms in patient care and research.

Successful leadership requires leaders to make their followers aware of expectations regarding the goals to achieve, norms to follow, and task responsibilities to take over. This awareness is often achieved through leader-follower communication. In times of economic globalization and digitalization, however, leader-follower communication has become both more digitalized (virtual, rather than face-to-face) and less frequent, making successful leader-follower-communication more challenging. The current research tested in four studies (three preregistered) whether digitalization and frequency of interaction predict task-related leadership success. In one cross-sectional (Study 1, N = 200), one longitudinal (Study 2, N = 305), and one quasi-experimental study (Study 3, N = 178), as predicted, a higher frequency (but not a lower level of digitalization) of leader-follower interactions predicted better task-related leadership outcomes (i.e., stronger goal clarity, norm clarity, and task responsibility among followers). Via mediation and a causal chain approach, Study 3 and Study 4 (N = 261) further targeted the mechanism; results showed that the relationship between (higher) interaction frequency and these outcomes is due to followers perceiving more opportunities to share work-related information with the leaders. These results improve our understanding of contextual factors contributing to leadership success in collaborations across hierarchies. They highlight that it is not the digitalization but rather the frequency of interacting with their leader that predicts whether followers gain clarity about the relevant goals and norms to follow and the task responsibilities to assume.

Reaching net-zero targets requires massive increases in wind energy production, but efforts to build wind farms can meet stern local opposition. Here, inspired by related work on vaccinations, we examine whether opposition to wind farms is associated with a world view that conspiracies are common (‘conspiracy mentality’). In eight pre-registered studies (collective N  = 4,170), we found moderate-to-large relationships between various indices of conspiracy beliefs and wind farm opposition. Indeed, the relationship between wind farm opposition and conspiracy beliefs was many times greater than its relationship with age, gender, education and political orientation. Information provision increased support, even among those high in conspiracy mentality. However, information provision was less effective when it was presented as a debate (that is, including negative arguments) and among participants who endorsed specific conspiracy theories about wind farms. Thus, the data suggest preventive measures are more realistic than informational interventions to curb the potentially negative impact of conspiracy beliefs. Understanding the drivers of opposition to renewable energy infrastructure is increasingly important. Here the authors find an association between wind farm opposition and belief in conspiracy theories and test the effectiveness of information provision in countering it.

This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.