{"title":"Can an Online Service Predict Gender? On the State-of-the-Art in Gender Identification from Texts","authors":"Stefan Krüger, Ben Hermann","doi":"10.1109/GE.2019.00012","DOIUrl":"https://doi.org/10.1109/GE.2019.00012","url":null,"abstract":"Gender equality initiatives are often faced with a problem: In order to determine whether initiatives are successful the gender of individuals in the target group must be known. As self-identification inherently has the problems that individuals have to respond and results may, therefore, be biased and incomplete, the temptation to use automated gender identification methods is evident. In the scientific literature, multiple sources ranging from the individual’s name, their social media choices, biological features (e.g., brain scans or fingerprints), to texts attributed to the individual are used for automated gender identification with varying success. In this paper, we systematically inspect scientific publications for gender prediction based on textual data which are published between January 2017 and January 2019 in order to determine if such approaches may supply viable means to reliably determine an author’s gender. However, we find that the best approach in the current state-of-the-art works with an accuracy of only 93.4%. Moreover, we discuss the possible harm that gender identification systems might entail due to their inaccuracy and also given that they are assuming a binary gender model. We conclude that gender identification based on textual data is currently no reliable substitute for self-identification.","PeriodicalId":221039,"journal":{"name":"2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132293974","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Message from the GE 2019 Program Co-Chairs","authors":"I. Crnkovic, Karina Kohl Silveira, Sara Sprenkle","doi":"10.1109/ge.2019.00005","DOIUrl":"https://doi.org/10.1109/ge.2019.00005","url":null,"abstract":"Diversity is being discussed intensively by different knowledge areas, and it is no different in Software Engineering. For reasons that are still being studied, the engagement of genders in STEM (Science, Technology, Engineering, and Mathematics) careers is not uniform. This gap is occurring at all levels, and it is evident, for instance, in the small percentage of women covering top positions in professional and academic activities in the field. At the same time, the community realizes that diversity plays a key role in a successful, competitive, and innovative context for software development and research. Such diversity is not only related to gender but also refers to culture, ethnicity, religion, and geography. In this context, the purpose of the Second Workshop on Gender Equality in Software Engineering is to continue discussing the role, difficulties, and opportunities concerning people of different genders in the field of software engineering in research, education, and industry. We hope the workshop continues annually until it is no longer necessary.","PeriodicalId":221039,"journal":{"name":"2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128473929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Women-Only Spaces of Open Source","authors":"Vandana Singh","doi":"10.1109/GE.2019.00010","DOIUrl":"https://doi.org/10.1109/GE.2019.00010","url":null,"abstract":"In this workshop paper, we present the preliminary results of an investigation into women-only spaces in Open Source Software (OSS) communities. We examined 355 OSS project websites, out of which only sixteen had women-centered spaces. We further investigated these sixteen websites and analyzed the content for identity, focus, activities and longevity of the women-centered online spaces. The results indicate that less than five percent of the examined communities have women-only spaces. Most of these women-only spaces welcome other minorities, including trans and ethnic or racial minorities. These spaces exist to provide a common forum for discussion, support, empowerment and engagement of minorities in OSS. Women-only spaces have been around for two decades, but not all the spaces that are created remain active. The active spaces have thousands of members and provide a combination of online and offline activities for improving women’s engagement, mentoring and networking.","PeriodicalId":221039,"journal":{"name":"2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126388839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Machado, M. Perlin, R. Soletti, Livia Kmetzch Rosa e Silva, I. V. Schwartz, A. Seixas, F. Ricachenevsky, Alessandra Tamajusuku Neis, F. Staniscuaski
{"title":"Parent in Science: The Impact of Parenthood on the Scientific Career in Brazil","authors":"L. Machado, M. Perlin, R. Soletti, Livia Kmetzch Rosa e Silva, I. V. Schwartz, A. Seixas, F. Ricachenevsky, Alessandra Tamajusuku Neis, F. Staniscuaski","doi":"10.1109/GE.2019.00017","DOIUrl":"https://doi.org/10.1109/GE.2019.00017","url":null,"abstract":"Gender affects all facets of life and the academic and scientific universe presents no exception. For women, motherhood represents a special and tense period in order to reconcile professional life with family responsibilities. Few studies based on quantitative data evaluate the impact of motherhood on the scientific life of women in Brazil and there is no comparative data between the career of female researchers and the career of male researchers. In this view, we present here preliminary results on the real impact of parenthood on the academic and scientific career of Brazilian researchers. These results might be used to support the development of new policies to increase women’s participation in science.","PeriodicalId":221039,"journal":{"name":"2019 IEEE/ACM 2nd International Workshop on Gender Equality in Software Engineering (GE)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116646201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}