Cyberbullying, a methodological proposal for its study in Mexico
Keywords:
Cyberbullying; Digital Public Sphere; Surveys; Google Trends; Quantitative Methodology, Cyberbullying, Digital Public Sphere, Surveys, Google Trends, Quantitative MethodologyAbstract
The advent of the pandemic caused by COVID SARS 19 meant that in Mexico many of the daily activities are carried out in the digital space. School and work activities for the most part meant that people carried out their activities without training to develop the necessary skills in digital environments. Hence, criminal behaviour in such environments also increased. In this context, cyberbullying was a recurrent behaviour, especially as many children and adolescents dramatically increased the number of hours spent in front of the computer. The purpose of this paper is to analyse this phenomenon by analysing web data from Google searches from a codebook related to cyberbullying and examining the correlation with the data from the surveys of the Module on Cyberbullying (MOCIBA) of the National Institute of Statistics and Geography (INEGI) for the years 2019, 2020 and 2021. The proposal involves this survey collected at the national level, recognising that surveys face new challenges with the advent of digital life as new communication structures of the subjects who currently self-communicate and self-report in the digital space are presented. In this way, we propose a methodology specifically designed to explore the overlaps between conventional measurement instruments and unstructured web data to measure the incidence of cyberbullying in Mexico through a hybrid methodology that takes advantage of both tools to better understand some problems of the digital public sphere, such as the phenomenon of cyberbullying.
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