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In ten studies (N = 9187), I systematically investigated the direction and size of seven helping effects (the identifiable-victim effect, proportion dominance effect, ingroup effect, existence effect, innocence effect, age effect and gender effect). All effects were tested in three decision modes (separate evaluation, joint evaluation and forced choice), and in their weak form (equal efficiency), or strong form (unequal efficiency). Participants read about one, or two, medical help projects and rated the attractiveness of and allocated resources to the project/projects, or choose which project to implement. The results show that the included help-situation attributes vary in their: (1) Evaluability – e.g., rescue proportion is the easiest to evaluate in separate evaluation. (2) Justifiability – e.g., people prefer to save fewer lives now rather than more lives in the future, but not fewer identified lives rather than more statistical lives. (3) Prominence – e.g., people express a preference to help females, but only when forced to choose.

In ten studies (N = 9187), I systematically investigated the direction and size of seven helping effects (the identifiable-victim effect, proportion dominance effect, ingroup effect, existence effect, innocence effect, age effect and gender effect). All effects were tested in three decision modes (separate evaluation, joint evaluation and forced choice), and in their weak form (equal efficiency), or strong form (unequal efficiency). Participants read about one, or two, medical help projects and rated the attractiveness of and allocated resources to the project/projects, or choose which project to implement. The results show that the included help-situation attributes vary in their: (1) Evaluability – e.g., rescue proportion is the easiest to evaluate in separate evaluation. (2) Justifiability – e.g., people prefer to save fewer lives now rather than more lives in the future, but not fewer identified lives rather than more statistical lives. (3) Prominence – e.g., people express a preference to help females, but only when forced to choose.

This chapter contains sections titled: The Strategic Side of Out‐Group Helping The In‐Group‐Serving Functions of Out‐Group Helping Discussion

Self-serving biases in use of the statistical \"law of large numbers\" (LLN) principle were explored. On goal-enhancing and goal-neutral problems, adolescents were more prone to schema-based memory intrusions and adults were more prone to exemplar-based intrusions. By contrast, both age groups used law of large numbers reasoning more frequently on goal-threatening evidence than on goal-enhancing or goal-neutral evidence, thereby displaying self-serving reasoning biases. Among the young adults, self-serving biases in reasoning strategies were predicted by information-processing style. These findings are explained in terms of the different experiences of the two ages and the role of cognitive interference and cognitive dissonance in creating self-serving biases.

Despite recent growth of research on the effects of prosocial media, processes underlying these effects are not well understood. Two studies explored theoretically relevant mediators and moderators of the effects of prosocial media on helping. Study 1 examined associations among prosocial- and violent-media use, empathy, and helping in samples from seven countries. Prosocial-media use was positively associated with helping. This effect was mediated by empathy and was similar across cultures. Study 2 explored longitudinal relations among prosocial-video-game use, violent-video-game use, empathy, and helping in a large sample of Singaporean children and adolescents measured three times across 2 years. Path analyses showed significant longitudinal effects of prosocial- and violent-video-game use on prosocial behavior through empathy. Latent-growth-curve modeling for the 2-year period revealed that change in video-game use significantly affected change in helping, and that this relationship was mediated by change in empathy.

Feelings of elevation, elicited by witnessing another person perform a good deed, have been hypothesized to motivate a desire to help others. However, despite growing interest in the determinants of prosocial behavior, there is only limited evidence that elevation leads to increases in altruistic behavior. In two experiments, we tested the relationship between elevation and helping behavior. Prior to measuring helping behavior, we measured elevation among participants in an elevation-inducing condition and control conditions in order to determine whether witnessing altruistic behavior elicited elevation. In Experiment I, participants experiencing elevation were more likely to volunteer for a subsequent unpaid study than were participants in a neutral state. In Experiment 2, participants experiencing elevation spent approximately twice as long helping the experimenter with a tedious task as participants experiencing mirth or a neutral emotional state. Further, feelings of elevation, but not feelings of amusement or happiness, predicted the amount of helping. Together, these results provide evidence that witnessing another person's altruistic behavior elicits elevation, a discrete emotion that, in turn, leads to tangible increases in altruism.

The bystander effect, the reduction in helping behavior in the presence of other people, has been explained predominantly by situational influences on decision making. Diverging from this view, we highlight recent evidence on the neural mechanisms and dispositional factors that determine apathy in bystanders. We put forward a new theoretical perspective that integrates emotional, motivational, and dispositional aspects. In the presence of other bystanders, personal distress is enhanced, and fixed action patterns of avoidance and freezing dominate. This new perspective suggests that bystander apathy results from a reflexive emotional reaction dependent on the personality of the bystander.