Beautiful victims: How the halo of attractiveness impacts judgments of celebrity and lay victims of online abuse

Initial tweet valence, abuse volume, and observer Dark Tetrad characteristics influence perceptions of female celebrity abuse on Twitter

Research into relationships between victim-generated content, abuse received, and observer characteristics when considering Twitter abuse has been limited to male victims. We evaluated participant perceptions of female celebrity victims and abuse received on Twitter. We used a 3 (Initial Tweet Valence; negative, neutral, positive) × 2 (Abuse Volume; low, high) repeated measures design and online survey method. Participants were shown tweets generated by six female celebrities, counterbalanced such that each participant saw each celebrity in one Valence-Volume condition. Stimuli were presented across six 'lists' such that celebrity 'victims' could be rotated across Valence-Volume pairings. Participants rated-per target stimulus-the level of blame attributable to the victim and the perceived severity of the incident. Furthermore, participants were asked to complete a Dark Tetrad scale-measuring their Machiavellianism, Narcissism, Psychopathy, and Sadism. Analyses determined that victim-blaming was influenced by victim Initial Tweet Valence (greater victim-blaming associated with more-negative content) and observer Machiavellianism. Perceived severity was influenced by victim Initial Tweet Valence, Volume of Abuse received, and observer Machiavellianism. Results were consistent with previous research involving male celebrity victims. Further research is needed to understand the contributions of participants' hostile and benevolent sexism, as well as the role of victim attractiveness.

Blame others but hurt yourself: blaming or sympathetic attitudes toward victims of COVID-19 and how it alters one's health status

OBJECTIVE

This study explored the relationship between blame/sympathy and blamer's/sympathizer's perceived health status.

DESIGN

We recruited participants via an online survey platform. Study 1 was a cross-sectional study using data (N = 3304, Mage = 28.22, SDage = 7.92, and 39.3% female) collected from 30 provinces, municipalities, and autonomous regions of China on February 3, 2020. Study 2 used the daily diary method collecting data from February 4 to 9, 2020. Sample (N = 2456, Mage = 28.49, SDage = 7.49, and 39.4% were female) was obtained by inviting participants in Study 1 on the same platform.

MAIN OUTCOME MEASURES

Self-reported health status and life satisfaction.

RESULTS

In Study 1, blame was negatively associated with perceived health status, while sympathy was positively associated with it. Negative emotions and risk perception are the underlying mechanisms, but neither of them has effects on the relationship between sympathy and perceived health status. Study 2 replicated these results using multilevel analysis.

CONCLUSION

The results highlight the importance of people's attitudes on perceived health status. While sympathy is positively related to perceived health status, blaming has a negative association with perceived health status. Negative emotions and risk perceptions are the underlying mechanisms.