Here is the research we’ve found on cyberbullying in Chile, with the most recent first. Please email us if you have any articles to add with the details ordered in the same format as the others.
Authors: Varela, J.J., Hernandez, C., Miranda, R., Bartlett, C.P., and Rodriguez-Rivas, M.E.
Title: Victims of Cyberbullying: Feeling Loneliness and Depression among Youth and Adult Chileans during the Pandemic
Journal: Cyberbullying from a Lifespan Perspective
Abstract: In Chile, during the COVID-19 pandemic, reports of cyberbullying victimization increased for adolescents and younger adults. Research has shown that cyber-victims—adolescents and young adults alike—are at greater risk for mental health problems such as depression as a result of this negative type of aggression. Yet, a paucity of research has examined the individual mechanisms germane to cyber-victim depression. We focused on loneliness for the current study. We hypothesized that cyber-victimization would be positively related to depressive symptoms through increased fears of loneliness and that this effect would differ between adolescents and younger adults. Thus, we examined a sample of 2370 participants from all main regions of Chile aged from 15 to 29 years. Moderated mediation results showed a negative effect of cyberbullying on depression, which was mediated by increased fears of being alone. The effect of frequency of cyberbullying on fear of loneliness was stronger for younger adults compared to adolescents. Our results suggest different mechanisms for both age groups, which can inform prevention programs and their specific activities.
Authors: Rodriguez-Rivas, M.E., Varela, J.J., Gonzalez, C., and Josefina Chuecas, M.
Title: The role of family support and conflict in cyberbullying and subjective well-being among Chilean adolescents during the Covid-19 period
Abstract: Life satisfaction plays a crucial role in integral development and mental health during childhood and adolescence. Recently, it has been shown that cyberbullying has severe consequences for the mental health and wellbeing of victims such as increased anxiety, depressive symptoms and even suicide risk. Although the role of the family in life satisfaction and cyberbullying behaviors has been studied, there is limited information on its impacts during the current pandemic period. The aim of this study is to determine the role of family variables regarding students’ levels of life satisfaction and cyberbullying victimization during the pandemic period. Structural equation modeling was done using data from a cross-sectional study (n = 287; age ranged 14–18) conducted in six schools in Santiago, Chile during 2020. The tested model has a good fit and parsimonious adjustment. It explained 25.9% of the life satisfaction and 9% of the variance of cyberbullying victimization. Family support was positively associated with life satisfaction (p < 0.001) and negatively associated with cyberbullying victimization (p < 0.05). Likewise, family conflict was positively associated with levels of cyberbullying victimization (p < 0.05) and negatively associated with life satisfaction levels (p < 0.001). Finally, family visits were only positively associated with life satisfaction (p < 0.01). Generating interventions on several levels focused on positive family bonds has become essential and urgent. This is especially important considering their protective impacts on cyberbullying victimization in promotion of adolescent well-being and quality of life.
Authors: Nicolás Trajtenberg, Matías Dodel, Olga Sanchez De Ribera, Patricio Cabello & Magdalena Claro
Title: Online and offline victimisation: a cluster analysis of adolescent victims of bullying and cyber-bullying in Chile
Journal: Journal of Children and Media
Abstract: Bullying and cyberbullying victimisation are serious problems worldwide, especially among children and adolescents. However, there is much research on risk factors, the evidence about victim typologies that combine online and offline bullying with the specific nature of the victimisation episodes and other sociodemographic and individual features is still scarce. This study contributes by combining the poly-victim framework with the cyberbullying and online risk approaches. We used data from the Kids Online survey conducted in 2016 and analysed a national sample of 1,000 Internet users in Chile between 9 and 17 years old. The aim was to classify youth based on their cyber and traditional bullying experiences and examine the clusters’ features based on age, sex, socioeconomic status, technology use and skills, risky offline behaviours and well-being. A two-step cluster analysis identified three groups: poly-victims (23%), occasional digital victims (30%), and frequent offline victims (41%). These groups significantly differed by age, sex, Internet use, digital skills, risky offline behaviours and psychological characteristics. These results highlight the heterogeneity and complexity of both traditional and cyberbullying and the need to tailor interventions for diverse types of victims.
Authors: Matías E. Rodríguez-Rivas, Jorge J. Varela, Constanza González, María Josefina Chuecas
Title: The Role of Family Support and Conflict as Predictors of Cyberbullying and Subjective Well-Being During the Covid-19 Period for Chilean Adolescents
Abstract: Life satisfaction plays a crucial role in integral development during childhood and adolescence as it helps promote mental health, positive social attachments, and more. Recently, it has been shown that cyberbullying has severe consequences for the mental health and wellbeing of victims such as increased anxiety, depressive symptoms and even suicide risk. Although the role of the family in life satisfaction and cyberbullying behaviors has been studied, there is limited information on its impacts during the current pandemic period. This period has given rise to a number of alterations in social dynamics, a notable decrease in life satisfaction in addition to an increase in cyberbullying behaviors. Objective : The aim of this study is to determine the predictive role of family variables regarding students’ levels of life satisfaction and cyberbullying victimization during the pandemic period. Method : Structural equation modeling was done using data from a cross-sectional study (n = 287) conducted in six schools in Santiago, Chile during 2020. Results : The tested model has a good fit and parsimonious adjustment. It explained 25.9% of the life satisfaction and 9% of the variance of cyberbullying victimization. Family support positively predicted life satisfaction (p<.001) and negatively predicted cyberbullying victimization (p=.02). Likewise, family conflict positively predicted levels of cyberbullying victimization (p=.038) and negatively predicted life satisfaction levels (p<.001). Finally, family visits only positively predicted life satisfaction (p=.007). Conclusions: Generating interventions on several levels focused on positive family bonds has become essential and urgent. This is especially important considering their protective impacts on cyberbullying victimization in promotion of adolescent well-being and quality of life.
Authors: Manuel Lepe-Faúndez, Alejandra Segura-Navarrete, Christian Vidal-Castro, Claudia Martínez-Araneda, and Clemente Rubio-Manzano
Title: Detecting Aggressiveness in Tweets: A Hybrid Model for Detecting Cyberbullying in the Spanish Language
Abstract: In recent years, the use of social networks has increased exponentially, which has led to a significant increase in cyberbullying. Currently, in the field of Computer Science, research has been made on how to detect aggressiveness in texts, which is a prelude to detecting cyberbullying. In this field, the main work has been done for English language texts, mainly using Machine Learning (ML) approaches, Lexicon approaches to a lesser extent, and very few works using hybrid approaches. In these, Lexicons and Machine Learning algorithms are used, such as counting the number of bad words in a sentence using a Lexicon of bad words, which serves as an input feature for classification algorithms. This research aims at contributing towards detecting aggressiveness in Spanish language texts by creating different models that combine the Lexicons and ML approach. Twenty-two models that combine techniques and algorithms from both approaches are proposed, and for their application, certain hyperparameters are adjusted in the training datasets of the corpora, to obtain the best results in the test datasets. Three Spanish language corpora are used in the evaluation: Chilean, Mexican, and Chilean-Mexican corpora. The results indicate that hybrid models obtain the best results in the 3 corpora, over implemented models that do not use Lexicons. This shows that by mixing approaches, aggressiveness detection improves. Finally, a web application is developed that gives applicability to each model by classifying tweets, allowing evaluating the performance of models with external corpus and receiving feedback on the prediction of each one for future research. In addition, an API is available that can be integrated into technological tools for parental control, online plugins for writing analysis in social networks, and educational tools, among others.
Authors: Leon-Paredes, G. A., Palomeque-Leon, W. F., Gallegos-Segovia, P. L., Vintimilla-Tapia, P. E., Bravo-Torres, J. F., Barbosa-Santillan, L. I., & Paredes-Pinos, M. M.
Title: Presumptive Detection of Cyberbullying on Twitter through Natural Language Processing and Machine Learning in the Spanish Language.
Journal: Electrical, Electronics Engineering, Information and Communication Technologies
Abstract: Nowadays, the constant development of information and communication technologies (ICTs) has changed the interpersonal interaction, allowing to transfer real experiences to a virtualized medium such as the Internet. In this sense, although the space-time barriers of traditional communication are broken and social relationships are strengthened, problems related to adverse behaviors may arise. Bullying, defined as an act that threatens a person’s holistic well-being, becomes cyberbullying when it is done over Internet, causing anxiety problems, depression, and even suicide attempts. For this reason, it is essential to detect this type of behaviour in time. This research deploys a Spanish cyberbullying prevention system (SPC), which relies on Natural Language Processing (NLP) methods and different machine learning techniques (Naive Bayes, Support Vector Machine and Logistic Regression), using Twitter as the basis for the extraction of knowledge bases or corpus. Several precision metrics and variable corpus sizes are used for the training. The learning results reach a maximum accuracy of 93%, verified through the application of three study cases.
Authors: Varela, J. J., Zimmerman, M. A., Ryan, A. M., & Stoddard, S. A.
Title: Cyberbullying Among Chilean Students and the Protective Effects of Positive School Communities
Journal: Journal of School Violence
Abstract: Cyberbullying is a type of bullying that involves the use of technology to harm other students. Most researchers have examined individual-level characteristics, but the perception of school climate and school characteristics such as type, size, and level of vulnerabilities have not been considered using multilevel methods. Using a sample of 8,237 Chilean seventh graders from 1,322 schools we examined individual- and school-level predictors of cyberbullying perpetration. Cyberbullying perpetration was predicted by prior victimization, interpersonal relationships, and gender. We found an interaction effect between interpersonal relationships and teacher support for victims. Our findings support the notion that school policies and culture can play a vital role in the prevention of cyberbullying, supporting a protective resilience model.
Authors: Del Río Pérez, Jorge; Bringué, Xavier; Sádaba, Charo; González González, Diana.
Title: Cyberbullying: un análisis comparativo en estudiantes de Argentina, Brasil, Chile, Colombia, México, Perú y Venezuela. En: Generació digital: oportunitats i riscos dels públics
Journal: La transformació dels usos comunicatius. V Congrés Internacional Comunicació i Realitat.
Abstract: This study explores the issue of cyberbullying from a cross-cultural perspective. The focus is on the examination of the extent of Argentina, Brazil, Chile, Colombia, México, Peru, Venezuela tweens and adolescents’ experiences of cyberbullying. A survey study of 21.000 students from 10 to 18 years. In this paper, “cyberbullying” refers to bullying via electronic communication tools: mobile phone/video/picture/text message, Internet/gaming/instant messaging.