Partisans neither expect nor receive reputational rewards for sharing falsehoods over truth online.

A frequently invoked explanation for the sharing of false over true political information is that partisans are motivated by their reputations. In particular, it is often argued that by indiscriminately sharing news that is favorable to one's political party, regardless of whether it is true-or perhaps especially when it is not true-partisans can signal loyalty to their group, and improve their reputations in the eyes of their online networks. Across three survey studies (total N = 3,038), and an analysis of over 26,000 tweets, we explored these hypotheses by measuring the reputational benefits that people anticipate and receive from sharing different content online. In the survey studies, we showed participants actual news headlines that varied in (ⅰ) veracity, and (ⅱ) favorability to their preferred political party. Across all three studies, participants anticipated that sharing true news would bring more reputational benefits than sharing false news. Critically, while participants also expected greater reputational benefits for sharing news favorable to their party, the perceived reputation value of veracity was no smaller for more favorable headlines. We found a similar pattern when analyzing engagement on Twitter: among headlines that were politically favorable to a user's preferred party, true headlines elicited more approval than false headlines.

Examining the surgical stress effects (SSE) framework in practice: A qualitative assessment of perceived sources and consequences of intraoperative stress in surgical teams.

BACKGROUND: Surgical adverse events persist despite extensive improvement efforts. Emotional and behavioral responses to stressors may influence intraoperative performance, as illustrated in the surgical stress effects (SSE) framework. However, the SSE has not been assessed using "real world" data. METHODS: We conducted semi-structured interviews with all surgical team roles at one midwestern VA hospital and elicited narratives involving intraoperative stress. Two coders inductively identified codes from transcripts. The team identified themes among codes and assessed concordance with the SSE framework. RESULTS: Throughout 28 interviews, we found surgical stress was ubiquitous, associated with a variety of factors, including adverse events. Stressors often elicited frustration, anger, fear, and anxiety; behavioral reactions to negative emotions frequently were perceived to degrade individual/team performance and compromise outcomes. Narratives were consistent with the SSE framework and support adding a process outcome (efficiency) and illustrating how adverse events can feedback and acutely increase job demands and stress. CONCLUSION: This qualitative study describes narratives of intraoperative stress, finding they are consistent with the SSE while also allowing minor improvements to the current framework.

Compassion Fatigue as a Self-Fulfilling Prophecy: Believing Compassion Is Limited Increases Fatigue and Decreases Compassion.

People's compassion responses often weaken with repeated exposure to suffering, a phenomenon known as compassion fatigue. Why is it so difficult to continue feeling compassion in response to others' suffering? We propose that people's limited-compassion mindsets-beliefs about compassion as a limited resource and a fatiguing experience-can result in a self-fulfilling prophecy that reinforces compassion fatigue. Across four studies of adults sampled from university students and online participant pools in the United States, we show that there is variability in people's compassion mindsets, that these mindsets can be changed with convincing information, and that limited-compassion mindsets predict lower feelings of compassion, lower-quality social support, and more fatigue. This contributes to our understanding of factors that underlie compassion fatigue and supports the broader idea that people's beliefs about the nature of emotions affect how emotions are experienced. Together, this research contributes to developing a strategy for increasing people's capacity to feel compassion and their social support.

Examining the effects of physician burnout on pain management for patients with advanced lung cancer.

PURPOSE: Physician burnout is generally associated with worse clinical outcomes. The purpose of this study is to examine the effects of physician burnout on the quality of physicians' pain assessment and opioid prescribing for patients with advanced lung cancer. Moreover, we test whether these relationships are moderated by patient-level factors, such as patient race and activation level, that have a demonstrated impact on clinical encounters. METHODS: We conducted a secondary analysis of data from a multisite randomized field experiment. From 2012 to 2016, 96 primary care physicians and oncologists who treated solid tumors were recruited from hospitals and medical sites in three small metropolitan and rural areas in the USA. Physicians saw two unannounced standardized patients who presented with advanced lung cancer. Standardized patients varied across race (Black or White) and activation level (activated, typical). Visits were audio recorded and transcribed. Pain management was evaluated by the quality of pain assessment and opioid prescribing during these visits. RESULTS: Mixed-effects linear regression and generalized mixed-effects modeling showed that higher levels of burnout were associated with a greater likelihood of prescribing an opioid and prescribing stronger opioid doses for patients. These effects were not moderated by patient race or activation level. CONCLUSION: Findings from this work inform our understanding of physician-level factors that impact clinical decision-making in the context of cancer pain management. Specifically, this study identifies the role of physician burnout on the quality of prescribing for patients with advanced lung cancer.

An examination of how six reasons for valuing nature are endorsed and associated with pro-environmental behavior across 12 countries.

Balanced samples from 12 countries (N = 12,000) were surveyed about their reasons for valuing nature and pro-environmental behaviors. Results showed that people were least likely to endorse moral-based reasons for valuing nature, as compared to five other reasons (wellbeing benefits, nature's intrinsic value, health benefits, economic value, identity-based reasons). However, moral- and identity-based reasons (relative to the other four reasons) for valuing nature were the strongest predictors of pro-environmental behavior across three different methods (correlations, linear mixed models, and relative importance analysis) and two pro-environmental behavior categories (consumer behavior and activism). In other words, the reasons for valuing nature most associated with pro-environmental behavior also garnered the weakest support, presenting a potential dilemma for those hoping to leverage values to promote pro-environmental behavior. We also identify a possible mechanism (awareness of one's environmental impact) to explain why moral- and identity-based reasons for valuing nature best predict behavior. Finally, we examine between-country variability in the endorsement of the six reasons and the reasons' associations with pro-environmental behaviors, and country-level factors that may explain between-country variability in these outcomes. We discuss these results in the context of broader literature that has focused on an intrinsic vs. instrumental valuation of nature dichotomy.

How Effective Altruism Can Help Psychologists Maximize Their Impact.

Although many psychologists are interested in making the world a better place through their work, they are often unable to have the impact that they would like. Here, we suggest that both individuals and psychology as a field can better improve human welfare by incorporating ideas from effective altruism, a growing movement whose members aim to do the most good by using science and reason to inform their efforts. In this article, we first briefly introduce effective altruism and review important principles that can be applied to how psychologists approach their work, such as the importance, tractability, and neglectedness framework. We then review how effective altruism can inform individual psychologists' choices. Finally, we close with a discussion of ideas for how psychology, as a field, can increase its positive impact. By applying insights from effective altruism to psychological science, we aim to integrate a new theoretical framework into psychological science, stimulate new areas of research, start a discussion on how psychology can maximize its impact, and inspire the psychology community to do the most good.

Patient activation reduces effects of implicit bias on doctor-patient interactions.

Disparities between Black and White Americans persist in medical treatment and health outcomes. One reason is that physicians sometimes hold implicit racial biases that favor White (over Black) patients. Thus, disrupting the effects of physicians' implicit bias is one route to promoting equitable health outcomes. In the present research, we tested a potential mechanism to short-circuit the effects of doctors' implicit bias: patient activation, i.e., having patients ask questions and advocate for themselves. Specifically, we trained Black and White standardized patients (SPs) to be "activated" or "typical" during appointments with unsuspecting oncologists and primary care physicians in which SPs claimed to have stage IV lung cancer. Supporting the idea that patient activation can promote equitable doctor-patient interactions, results showed that physicians' implicit racial bias (as measured by an implicit association test) predicted racially biased interpersonal treatment among typical SPs (but not among activated SPs) across SP ratings of interaction quality and ratings from independent coders who read the interaction transcripts. This research supports prior work showing that implicit attitudes can undermine interpersonal treatment in medical settings and provides a strategy for ensuring equitable doctor-patient interactions.

Risk Factors for COVID-19 in College Students Identified by Physical, Mental, and Social Health Reported During the Fall 2020 Semester: Observational Study Using the Roadmap App and Fitbit Wearable Sensors.

BACKGROUND: The COVID-19 pandemic triggered a seismic shift in education to web-based learning. With nearly 20 million students enrolled in colleges across the United States, the long-simmering mental health crisis in college students was likely further exacerbated by the pandemic. OBJECTIVE: This study leveraged mobile health (mHealth) technology and sought to (1) characterize self-reported outcomes of physical, mental, and social health by COVID-19 status; (2) assess physical activity through consumer-grade wearable sensors (Fitbit); and (3) identify risk factors associated with COVID-19 positivity in a population of college students prior to release of the vaccine. METHODS: After completing a baseline assessment (ie, at Time 0 [T0]) of demographics, mental, and social health constructs through the Roadmap 2.0 app, participants were instructed to use the app freely, wear the Fitbit, and complete subsequent assessments at T1, T2, and T3, followed by a COVID-19 assessment of history and timing of COVID-19 testing and diagnosis (T4: ~14 days after T3). Continuous measures were described using mean (SD) values, while categorical measures were summarized as n (%) values. Formal comparisons were made on the basis of COVID-19 status. The multivariate model was determined by entering all statistically significant variables (P<.05) in univariable associations at once and then removing one variable at a time through backward selection until the optimal model was obtained. RESULTS: During the fall 2020 semester, 1997 participants consented, enrolled, and met criteria for data analyses. There was a high prevalence of anxiety, as assessed by the State Trait Anxiety Index, with moderate and severe levels in 465 (24%) and 970 (49%) students, respectively. Approximately one-third of students reported having a mental health disorder (n=656, 33%). The average daily steps recorded in this student population was approximately 6500 (mean 6474, SD 3371). Neither reported mental health nor step count were significant based on COVID-19 status (P=.52). Our analyses revealed significant associations of COVID-19 positivity with the use of marijuana and alcohol (P=.02 and P=.046, respectively) and with lower belief in public health measures (P=.003). In addition, graduate students were less likely and those with ≥20 roommates were more likely to report a COVID-19 diagnosis (P=.009). CONCLUSIONS: Mental health problems were common in this student population. Several factors, including substance use, were associated with the risk of COVID-19. These data highlight important areas for further attention, such as prioritizing innovative strategies that address health and well-being, considering the potential long-term effects of COVID-19 on college students. TRIAL REGISTRATION: ClinicalTrials.gov NCT04766788; https://clinicaltrials.gov/ct2/show/NCT04766788. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/29561.

Distanced self-talk increases rational self-interest.

Does stepping back to evaluate a situation from a distanced perspective lead us to be selfish or fair? This question has been of philosophical interest for centuries, and, more recently, the focus of extensive empirical inquiry. Yet, extant research reveals a puzzle: some studies suggest that adopting a distanced perspective will produce more rationally self-interested behavior, whereas others suggest that it will produce more impartial behavior. Here we adjudicate between these perspectives by testing the effects of adopting a third-person perspective on decision making in a task that pits rational self-interest against impartiality: the dictator game. Aggregating across three experiments (N = 774), participants who used third-person (i.e., distanced) vs. first-person (i.e., immersed) self-talk during the dictator game kept more money for themselves. We discuss these results in light of prior research showing that psychological distance can promote cooperation and fairmindedness and how the effect of psychological distance on moral decision-making may be sensitive to social context.

Monitoring beliefs and physiological measures in students at risk for COVID-19 using wearable sensors and smartphone technology: Protocol for a mobile health study.

BACKGROUND: The COVID-19 pandemic has impacted lives significantly and greatly affected an already vulnerable population, college students, in relation to mental health and public safety. Social distancing and isolation have brought about challenges to student's mental health. Mobile health apps and wearable sensors may help to monitor students at risk for COVID-19 and support their mental well-being. OBJECTIVE: Through the use of a wearable sensor and smartphone-based survey completion, this study aimed to monitor students at risk for COVID-19. METHODS: We conducted a prospective study of students, undergraduate and graduate, at a public university in the Midwest. Students were instructed to download the Fitbit, Social Rhythms, and Roadmap 2.0 apps onto their personal mobile devices (Android or iOS). Subjects consented to provide up to 10 saliva samples during the study period. Surveys were administered through the Roadmap 2.0 app at five timepoints - at baseline, 1-month later, 2-months later, 3-months later, and at study completion. The surveys gathered information regarding demographics, COVID-19 diagnoses and symptoms, and mental health resilience, with the aim of documenting the impact of COVID-19 on the college student population. RESULTS: This study enrolled 2,158 college students between September 2020 and January 2021. Subjects are currently being followed on-study for one academic year. Data collection and analysis are ongoing. CONCLUSIONS: This study examined student health and well-being during the COVID-19 pandemic. It also assessed the feasibility of wearable sensor use and survey completion in a college student population, which may inform the role of our mobile health tools on student health and well-being. Finally, using wearable sensor data, biospecimen collection, and self-reported COVID-19 diagnosis, our results may provide key data towards the development of a model for the early prediction and detection of COVID-19. CLINICALTRIAL: ClinicalTrials.gov NCT04766788.

Does counting emotion words on online social networks provide a window into people's subjective experience of emotion? A case study on Facebook.

Psychologists have long debated whether it is possible to assess how people subjectively feel without asking them. The recent proliferation of online social networks has recently added a fresh chapter to this discussion, with research now suggesting that it is possible to index people's subjective experience of emotion by simply counting the number of emotion words contained in their online social network posts. Whether the conclusions that emerge from this work are valid, however, rests on a critical assumption: that people's usage of emotion words in their posts accurately reflects how they feel. Although this assumption is widespread in psychological research, here we suggest that there are reasons to challenge it. We corroborate these assertions in 2 ways. First, using data from 4 experience-sampling studies of emotion in young adults, we show that people's reports of how they feel throughout the day neither predict, nor are predicted by, their use of emotion words on Facebook. Second, using simulations we show that although significant relationships emerge between the use of emotion words on Facebook and self-reported affect with increasingly large numbers of observations, the relationship between these variables was in the opposite of the theoretically expected direction 50% of the time (i.e., 3 of 6 models that we performed simulations on). In contrast to counting emotion words, we show that judges' ratings of the emotionality of participants' Facebook posts consistently predicts how people feel across all analyses. These findings shed light on how to draw inferences about emotion using online social network data. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Third-Person Self-Talk Reduces Ebola Worry and Risk Perception by Enhancing Rational Thinking.

BACKGROUND: During the fall of 2014, the threat of an Ebola outbreak gripped the United States (Poll, 8-12 October 2014; see Harvard School of Public Health & SSRS, 2014), creating a unique opportunity to advance basic knowledge concerning how emotion regulation works in consequential contexts and translate existing research in this area to inform public health and policy. METHOD: We addressed these issues by examining whether third-person self-talk, a simple technique that promotes emotion regulation, could nudge people into reasoning about Ebola more rationally. In all, 1,257 people from across the United States were asked to write about their feelings about Ebola using their name or I (i.e. third-person self-talk vs. first-person self-talk) as concerns about Ebola swelled (24 October 2014-26 October 2014). RESULTS: Third-person self-talk led participants who scored high on Ebola worry at baseline to generate more fact-based reasons not to worry about Ebola, which predicted reductions in their Ebola worry and risk perception. These findings held when controlling for several theoretically relevant covariates, highlighting their robustness. CONCLUSION: These results demonstrate how a simple linguistic technique can enhance rational thinking and quell worry about a pressing public health threat.

The effects of stereotypes and observer pressure on athletic performance.

Although the effects of negative stereotypes and observer pressure on athletic performance have been well researched, the effects of positive stereotypes on performance, particularly in the presence of observers, is not known. In the current study, White males watched a video either depicting Whites basketball players as the best free throwers in the NBA (positive stereotype), Black basketball players as the best free throwers in the NBA (negative stereotype), or a neutral sports video (control). Participants then shot a set of free throws, during which half the participants were also videotaped (observer condition), whereas the other half were not (no observer condition). Results demonstrated that positive stereotypes improved free throw performance, but only in the no observer condition. Interestingly, observer pressure interacted with the positive stereotype to lead to performance decrements. In the negative stereotype condition, performance decrements were observed both in the observer and no observer conditions.