2021
DOI: 10.1016/j.infsof.2021.106667
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On the value of encouraging gender tolerance and inclusiveness in software engineering communities

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Cited by 23 publications
(10 citation statements)
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“…Consistent with our usage analysis, neither the gender of the user raising the question nor that of those who reply is statistical-significantly associated with lower solving time. We find no evidence for the differences in online knowledge sharing between women and men as observed in other studies [ 38 ]. The solving probability is also not affected if a higher share of senior researchers participate.…”
Section: Empirical Analyses and Resultscontrasting
confidence: 94%
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“…Consistent with our usage analysis, neither the gender of the user raising the question nor that of those who reply is statistical-significantly associated with lower solving time. We find no evidence for the differences in online knowledge sharing between women and men as observed in other studies [ 38 ]. The solving probability is also not affected if a higher share of senior researchers participate.…”
Section: Empirical Analyses and Resultscontrasting
confidence: 94%
“…Our result on female participation is in line with results of gender studies in online platform collaboration. Female users are in general under-represented in online technology-related Q&A platforms [ 38 ]. Studies show that female users are more inclined to participate in posts if there are already other female users replying to a question [ 35 , 36 ].…”
Section: Empirical Analyses and Resultsmentioning
confidence: 99%
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“…Therefore, the absence of an important portion of representatives from all user groups in software development jobs may lead to product deficiencies for some users and, consequently, to dissatisfaction. Moreover, diversity brings innovative ideas and stimulates knowledge sharing and innovative thinking [12], [13]. For example, studies have shown that companies with more women exhibit better innovative performance [14].…”
Section: Index Termsmentioning
confidence: 99%
“…Para aplicac ¸ão das métricas de contabilizac ¸ão de issues criadas e comentários postados, em func ¸ão do gênero da pessoa desenvolvedora, os dados foram extraídos da plataforma do GitHub através da sua API Rest 3 . Para adivinhac ¸ão do gênero das pessoas desenvolvedoras, foi utilizada a ferramenta NamSor 4 , que utiliza do nome e sobrenome inseridos, uma vez que não é obrigatório informar o gênero na plataforma [Zolduoarrati and Licorish 2021].…”
Section: Materiais E Métodosunclassified