U.S. parents' intentions to use anti-bullying apps: Insights from a comprehensive model.

Cyberbullying has become a prominent risk for youth and an increasing concern for parents. To help parents reduce their child's cyberbullying risk, anti-bullying apps (ABAs)-mobile applications for identifying and preventing instances of cyberbullying-have been developed in recent years. Given that ABAs are an emerging technology, limited research has been conducted to understand the factors predicting parents' intentions to use them. Drawing on three interdisciplinary theoretical frameworks, a sample of parents in the U.S. recruited through Amazon Mechanical Turk completed an online survey to assess parents' knowledge of, attitudes about, and intentions to use ABAs. Participants also rated the importance of a range of ABA functions and provided information about their child's social media use and bullying history. A series of path analyses revealed that the importance parents placed on an app's ability to provide information about their child's cyberbullying risk predicted more positive attitudes toward ABAs and greater perceived usefulness of them. Stronger intentions to use ABAs were predicted by greater cyberbullying concern, greater importance of social recommendations, greater perceived usefulness, more positive attitudes toward the apps, and lower ratings of the importance of ease of use. These findings shed light on the factors predicting parents' intentions to use ABAs and the app features they view as most important. Crucial directions for future research and implications for anti-bullying efforts are discussed.

An Analysis of Temporal Trends in Anti-Asian Hate and Counter-Hate on Twitter During the COVID-19 Pandemic.

Recent studies have documented increases in anti-Asian hate throughout the COVID-19 pandemic. Yet relatively little is known about how anti-Asian content on social media, as well as positive messages to combat the hate, have varied over time. In this study, we investigated temporal changes in the frequency of anti-Asian and counter-hate messages on Twitter during the first 16 months of the COVID-19 pandemic. Using the Twitter Data Collection Application Programming Interface, we queried all tweets from January 30, 2020 to April 30, 2021 that contained specific anti-Asian (e.g., #chinavirus, #kungflu) and counter-hate (e.g., #hateisavirus) keywords. From this initial data set, we extracted a random subset of 1,000 Twitter users who had used one or more anti-Asian or counter-hate keywords. For each of these users, we calculated the total number of anti-Asian and counter-hate keywords posted each month. Latent growth curve analysis revealed that the frequency of anti-Asian keywords fluctuated over time in a curvilinear pattern, increasing steadily in the early months and then decreasing in the later months of our data collection. In contrast, the frequency of counter-hate keywords remained low for several months and then increased in a linear manner. Significant between-user variability in both anti-Asian and counter-hate content was observed, highlighting individual differences in the generation of hate and counter-hate messages within our sample. Together, these findings begin to shed light on longitudinal patterns of hate and counter-hate on social media during the COVID-19 pandemic.

Cyberbullying and Mental Health in Adults: The Moderating Role of Social Media Use and Gender.

Previous research has identified a link between mental health and cyberbullying, primarily in studies of youth. Fewer studies have examined cyberbullying in adults or how the relation between mental health and cyberbullying might vary based on an individual's social media use. The present research examined how three indicators of mental health-depression, anxiety, and substance use-interact with social media use and gender to predict cyberbullying in adults. In Study 1, U.S. adults recruited through Amazon Mechanical Turk (N = 525) completed an online survey that included measures of mental health and cyberbullying. Multiple regression analyses revealed significant three-way interactions between mental health, degree of social media use, and gender in models predicting cyberbullying victimization and perpetration. Specifically, for men, depression and anxiety predicted greater cyberbullying victimization and perpetration, particularly among men with relatively higher levels of social media use. In contrast, depression and anxiety were uncorrelated with cyberbullying for women, regardless of level of social media use. Study 2 largely replicated these findings using well-validated measures of mental health (e.g., Center for Epidemiological Studies-Depression scale, Beck Anxiety Inventory, Global Appraisal of Individual Needs Substance Use scale) in U.S. adults recruited through Prolific.co (N = 482). Together, these results underscore the importance of examining mental health correlates of cyberbullying within the context of social media use and gender and shed light on conditions in which indicators of mental health may be especially beneficial for predicting cyberbullying in adults.

Experiential or Material Purchases? Social Class Determines Purchase Happiness.

Which should people buy to make themselves happy: experiences or material goods? The answer depends in part on the level of resources already available in their lives. Across multiple studies using a range of methodologies, we found that individuals of higher social class, whose abundant resources make it possible to focus on self-development and self-expression, were made happier by experiential over material purchases. No such experiential advantage emerged for individuals of lower social class, whose lesser resources engender concern with resource management and wise use of limited finances. Instead, lower-class individuals were made happier from material purchases or were equally happy from experiential and material purchases.

Costly Signaling Increases Trust, Even Across Religious Affiliations.

Trust is a critical aspect of social interaction. One might predict that individuals trust religious out-groups less than religious in-groups, and that costly signals performed by members of religious in-groups increase trust while costly signals performed by members of religious out-groups decrease trust. We examined how Christian participants perceived the trustworthiness of Muslim and Christian individuals who did or did not engage in religious costly signaling. Religious costly signaling, operationalized as giving to religious charities (Experiments 1 and 2) or adhering to religious dietary restrictions (Experiment 3), increased self-reported trust, regardless of target religious affiliation. Furthermore, when estimating the likelihood that trustworthy versus untrustworthy targets engaged in costly signaling, participants made systematic judgments that showed that costly signaling is associated with trust for both Muslim and Christian targets (Experiment 4). These results are novel in their suggestion that costly signals of religious commitment can increase trust both within and, crucially, across religious-group lines.

A process model of affect misattribution.

People often misattribute the causes of their thoughts and feelings. The authors propose a multinomial process model of affect misattributions, which separates three component processes. The first is an affective response to the true cause of affect. The second is an affective response to the apparent cause. The third process is when the apparent source is confused for the real source. The model is validated using the affect misattribution procedure (AMP), which uses misattributions as a means to implicitly measure attitudes. The model illuminates not only the AMP but also other phenomena in which researchers wish to model the processes underlying misattributions using subjective judgments.

Why don't we practice what we preach? A meta-analytic review of religious racism.

A meta-analytic review of past research evaluated the link between religiosity and racism in the United States since the Civil Rights Act. Religious racism partly reflects intergroup dynamics. That is, a strong religious in-group identity was associated with derogation of racial out-groups. Other races might be treated as out-groups because religion is practiced largely within race, because training in a religious in-group identity promotes general ethnocentrism, and because different others appear to be in competition for resources. In addition, religious racism is tied to basic life values of social conformity and respect for tradition. In support, individuals who were religious for reasons of conformity and tradition expressed racism that declined in recent years with the decreased societal acceptance of overt racial discrimination. The authors failed to find that racial tolerance arises from humanitarian values, consistent with the idea that religious humanitarianism is largely expressed to in-group members. Only religious agnostics were racially tolerant.

Attitudes toward stereotypical versus counterstereotypical gay men and lesbians.

This study examined differences in the way heterosexual men and women feel about gay men and lesbians who either confirm or disconfirm prevailing stereotypes. Fifty-three heterosexual college men and women read descriptions about 2 fictitious homosexual students at their university, both of whom were either male or female. One of the students was portrayed as being more stereotypically masculine, whereas the other was portrayed as more stereotypically feminine. Participants rated the targets on a variety of dimensions, including liking. Male participants liked the masculine gay man more than the feminine gay man, whereas female participants showed similar degrees of liking for both men. Both male and female participants reported greater liking for the feminine lesbian than the masculine lesbian. Implications for understanding attitudes toward stereotypical versus counterstereotypical gay men and lesbians are discussed.