Predicting online privacy protection for Facebook users with an extended theory of planned behavior.

The current research uses an extended theory of planned behavior (TPB) model to predict Facebook users' ( = 376) intentions to protect their privacy online. It aims to replicate and extend Saeri et al. (2014) who found partial support for an extended TPB model that included descriptive norms, perceived risk, and trust.

Resources that Help Sustain Environmental Volunteer Activist Leaders.

Environmental activism organizations depend on recruiting and retaining individuals willing to engage in leadership tasks on a voluntary basis. This study examined the resources which help or hinder sustained environmental volunteer activist leadership behaviors. Interviews with 21 environmental volunteer activist leaders were analyzed within a Resource Mobilization Theory framework.

Pandemic boredom: Little evidence that lockdown-related boredom affects risky public health behaviors across 116 countries.

Some public officials have expressed concern that policies mandating collective public health behaviors (e.g., national/regional "lockdown") may result in behavioral fatigue that ultimately renders such policies ineffective.

Using Latent Profile Analysis to Understand Health Practitioners' Attitudes Toward Voluntary Assisted Dying.

Prior work has documented considerable diversity among health practitioners regarding their support for voluntary assisted dying (VAD). We examined whether their attitudes are characterised by different combinations of personal support, normative support by other health practitioners, and whether they are predisposed to vicariously experience others' emotions (i.e.

Autonomous Motives Foster Sustained Commitment to Action: Integrating Self-Determination Theory and the Social Identity Approach.

Social change movements may take years or decades to achieve their goals and thus require ongoing efforts from their supporters. We apply the insights of self-determination theory to examine sustained collective action over time. We expected that autonomous motivation, but not controlled motivation, would predict sustained action.

COVID-19 stressors and health behaviors: A multilevel longitudinal study across 86 countries.

Anxiety associated with the COVID-19 pandemic and home confinement has been associated with adverse health behaviors, such as unhealthy eating, smoking, and drinking. However, most studies have been limited by regional sampling, which precludes the examination of behavioral consequences associated with the pandemic at a global level. Further, few studies operationalized pandemic-related stressors to enable the investigation of the impact of different types of stressors on health outcomes.

Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic.

Before vaccines for coronavirus disease 2019 (COVID-19) became available, a set of infection-prevention behaviors constituted the primary means to mitigate the virus spread. Our study aimed to identify important predictors of this set of behaviors. Whereas social and health psychological theories suggest a limited set of predictors, machine-learning analyses can identify correlates from a larger pool of candidate predictors.

Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data.

The present paper examines longitudinally how subjective perceptions about COVID-19, one's community, and the government predict adherence to public health measures to reduce the spread of the virus. Using an international survey (N = 3040), we test how infection risk perception, trust in the governmental response and communications about COVID-19, conspiracy beliefs, social norms on distancing, tightness of culture, and community punishment predict various containment-related attitudes and behavior. Autoregressive analyses indicate that, at the personal level, personal hygiene behavior was predicted by personal infection risk perception.

Rage donations and mobilization: Understanding the effects of advocacy on collective giving responses.

Advocacy is intended to change people's attitudes and behavior. Yet the psychological and behavioral consequences of advocacy have rarely been considered. Across 3 experiments (combined N = 934) in the contexts of debates around racial discrimination and abortion, we investigated if and how exposure to advocacy can influence collective giving responses: self-reported willingness to make donations congruent with one's beliefs on the issue and actual giving behavior.

Concern with COVID-19 pandemic threat and attitudes towards immigrants: The mediating effect of the desire for tightness.

Tightening social norms is thought to be adaptive for dealing with collective threat yet it may have negative consequences for increasing prejudice. The present research investigated the role of desire for cultural tightness, triggered by the COVID-19 pandemic, in increasing negative attitudes towards immigrants. We used participant-level data from 41 countries ( = 55,015) collected as part of the PsyCorona project, a cross-national longitudinal study on responses to COVID-19.

Correction: Politicization of COVID-19 health-protective behaviors in the United States: Longitudinal and cross-national evidence.

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

Politicization of COVID-19 health-protective behaviors in the United States: Longitudinal and cross-national evidence.

During the initial phase of the COVID-19 pandemic, U.S. conservative politicians and the media downplayed the risk of both contracting COVID-19 and the effectiveness of recommended health behaviors.

It's About Time! Identifying and Explaining Unique Trajectories of Solidarity-Based Collective Action to Support People in Developing Countries.

Social change occurs over years and decades, yet we know little about how people sustain, increase or diminish their actions over time, and why they do so. This article examines diverging trajectories of solidarity-based collective action to support people in developing nations more than 5 years. We suggest that sustained, diminished, and/or increased action over time will be predicted by identification as a supporter, group efficacy beliefs, and discrete emotions about disadvantage.

Social norms, social identities and the COVID-19 pandemic: Theory and recommendations.

Sustained mass behaviour change is needed to tackle the COVID-19 pandemic, but many of the required changes run contrary to existing social norms (e.g., physical closeness with in-group members).

Lives versus Livelihoods? Perceived economic risk has a stronger association with support for COVID-19 preventive measures than perceived health risk.

This paper examines whether compliance with COVID-19 mitigation measures is motivated by wanting to save lives or save the economy (or both), and which implications this carries to fight the pandemic. National representative samples were collected from 24 countries (N = 25,435). The main predictors were (1) perceived risk to contract coronavirus, (2) perceived risk to suffer economic losses due to coronavirus, and (3) their interaction effect.

How Collective-Action Failure Shapes Group Heterogeneity and Engagement in Conventional and Radical Action Over Time.

Extensive research has identified factors influencing collective-action participation. However, less is known about how collective-action outcomes (i.e.

Identifying Nonphysical Intimate Partner Violence in Relationships: The Role of Beliefs and Schemas.

While substantial research has been conducted on intimate partner violence (IPV), comparatively little research has examined peoples' perceptions of which behaviors comprise this form of abuse. Early identification of IPV is critical to ending abuse, however, forms of IPV that typically occur earlier in a relationship (e.g.

A Multidimensional Analysis of Religious Extremism.

Even though religious extremism is currently a hotly debated topic, it is often reduced to a unidimensional construct that is linked to religious violence. We argue that the contemporary use of the term "extreme" fails to capture the different interpretations, beliefs, and attitudes defining extreme religious identity. To address this issue, we unpack the meaning of the term "extreme" in religious contexts and answer the call by scholars to provide a more comprehensive framework that incorporates the many different dimensions that constitute religion.

Insights From fMRI Studies Into Ingroup Bias.

Intergroup biases can manifest themselves between a wide variety of different groups such as people from different races, nations, ethnicities, political or religious beliefs, opposing sport teams or even arbitrary groups. In this review we provide a neuroscientific overview of functional Magnetic Resonance Imaging (fMRI) studies that have revealed how group dynamics impact on various cognitive and emotional systems at different levels of information processing. We first describe how people can perceive the faces, words and actions of ingroup and outgroup members in a biased way.

The power of norms to sway fused group members.

Whitehouse adapts insights from evolutionary anthropology to interpret extreme self-sacrifice through the concept of identity fusion. The model neglects the role of normative systems in shaping behaviors, especially in relation to violent extremism. In peaceful groups, increasing fusion will actually decrease extremism.

Lateral orbitofrontal cortex activity is modulated by group membership in situations of justified and unjustified violence.

The role of the orbitofrontal cortex (OFC) in moral decision-making is well established. However, OFC activity is highly context dependent. It is affected by the extent to which choices are morally justified and whom they concern.