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This instant study explores the relationship between weight-based teasing and depressive symptoms in Indian college students. It further investigates the moderating effect of gratitude on depressive symptoms occurring due to weight-based teasing.

The study is theoretically based on Fredrickson's broaden-and-built theory (2001). PROCESS macro in IBM SPSS v21 was used to analyze the effect of gratitude in moderation of weight-based teasing and depressive symptoms. The study used correlation and regression analysis to assess the relationship between weight-based teasing and depressive symptoms.

The study has confirmed that weight-based teasing results in the development of depressive symptoms in Indian college students. The study has also revealed that gratitude casts a significant moderating effect on depression due to weight-based teasing, i.e. a reduction in regression weight of weight-based teasing.

This study is the first of its kind in India and will significantly add to the national literature on teasing and depression. Further, the study will help stakeholders like educators and policymakers to formulate psychological programs based on positive psychology 2.0 and gratitude to combat the rising issue of body shaming in India.

Cyberbullying has become one of the reasons behind the increase in psychological and medical problems. A need to prevent recurrences of cyberbullying incidents and discourage bullies from further bullying the victims has risen. This problem has attracted the attention of all stakeholders across the globe. Various researchers have developed theories and interventions to detect and stop bullying behavior. Previously, researchers focused on helping victims, but as the times have changed, so has the focus of researchers. This study aims to analyze scientific research articles and review papers to understand the development of the knowledge base on the topic.

This study analyzes the performance of literature on cyberbullying perpetration (CBP) using the widely accepted bibliometric analysis techniques: performance analysis and science mapping. The study is based on a dataset extracted from the Web of Science database. Initially, 2,792 articles between 2007 and 2022 were retrieved, which were filtered down to 441. The filter was based on various criteria, but primarily on CBP. VOSViewer and MS Excel were used to analyze the data. In addition, VOSViewer was used to create “bibliometric citations, co-citations, and co-word maps.”

The findings include publication and citation quantum and trends, the top 20 active countries, the most significant research articles and leading journals in this domain. Major themes or clusters identified were “Cyberbullying and victim behavior,” bullying behavior, adolescents and intervention, “cyberbullying associations,” and “cyberbullying personality associations.”

The study is unique because it analyses research articles based on cyberbullies, whereas past studies explored only the victims' side. Further, the present study used the Web of Science database, whereas most studies use the Scopus database.

This study aims to examine the psychometric properties of the Cyberbullying Attitude Scale (CBAS) in Indian college students with the help of two independent studies.

The first study investigated the factorial validity of the scale using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), resulting in a seven-item, two-component model of CBAS. Two statements were excluded owing to inadequate factor loading. The second study evaluated the reliability and criterion validity of the model extracted after CFA using the Weight-Based Teasing Scale (WBTS), PhQ9 as convergent indices and Gratitude Questionnaire 6 (GQ6) as divergent indices.

It was observed that the Indian version of the scale differs from the original version in two ways. First, the Indian CBAS comprised seven items, while the original CBAS consisted of nine items. Second, in the original CBAS, two factors of cyberbullying, i.e. hostile cyberbullying attitudes (HCA) and general cyberbullying characteristics (GCC), contained five and four statements, respectively. However, the Indian CBAS comprised five and two statements, respectively. Further, the Indian CBAS showed convergence with WBTS and PhQ9 and divergence with GQ6.

This study is one of the first to explore the psychometric properties of Indian CBAS and its relations with teasing and gratitude.