Literature on anti-bullying programs shows a growing consensus about promoting victims and bystanders’ self-efficacy against bullying, but provides no theoretical model nor measurement scale to assess the extent of achieving this aim. The current research aims to address these theoretical and empirical gaps by proposing the Dublin Anti-Bullying Self-Efficacy Models and Scales, using a convenience sample of 14-year-old students in Ireland ( N = 1,100). After establishing both content and face validity, four separate scales were tested to measure anti-bullying self-efficacy beliefs among offline victims (20-item), online victims (20-item), offline bystanders (20-item), and online bystanders (20-item). Thereafter, four separate exploratory factor analyses of the scale items were followed by reflective measurement analyses of their internal consistency and construct (convergent and discriminant) validity. Results indicated sufficient psychometric properties of each scale measuring five dimensions of anti-bullying self-efficacy: recognition, emergency comprehension, responsibility, knowledge, and intervention. Further research is needed to test the proposed model and scale for assessing effectiveness of an anti-bullying program in promoting self-efficacy beliefs.
This article is concerned with identifying the ideological and techno-material parameters that inform Facebook’s approach to racism and racist contents. The analysis aims to contribute to studies of digital racism by showing Facebook’s ideological position on racism and identifying its implications. To understand Facebook’s approach to racism, the article deconstructs its governance structures, locating racism as a sub-category of hate speech. The key findings show that Facebook adopts a post-racial, race-blind approach that does not consider history and material differences, while its main focus is on enforcement, data, and efficiency. In making sense of these findings, we argue that Facebook’s content governance turns hate speech from a question of ethics, politics, and justice into a technical and logistical problem. Secondly, it socializes users into developing behaviors/contents that adapt to race-blindness, leading to the circulation of a kind of flexible racism. Finally, it spreads this approach from Silicon Valley to the rest of the world.
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