Gender differences regarding Spanish citizens’ perception of Data Science
DOI:
https://doi.org/10.31921/doxacom.n33a1126Keywords:
Gender, data science, science communication, Big Data, Artificial IntelligenceAbstract
The aim of this article is to determine whether there are gender differences with regard to the knowledge and attitudes of Spanish citizens toward data science, and whether those perceptions have been altered by the pandemic. For this purpose, an online survey with closed questions was conducted with a representative sample of 1,105 male and female citizens in two phases (January and October of 2020), in order to compare the degree to which the Covid-19 pandemic has influenced such perceptions. The results show that knowledge regarding Big Data and Artificial Intelligence is modest, being higher among men, especially in relation to Big Data. The level of interest decreased in the second pase in both genders, which points to several gender differences with regard to the perception of benefits and risks of their application: men perceived more benefits than women, while women generally perceived more risks with all technological applications in the first phase, yet in the second phase their perception of benefits rose to a level nearly equal to that of men. It has also been observed that in the second phase the perception of risk increased for both genders, and that the differences between the two are not significant
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