Eleven Years of Gender Data Visualization: A Step Towards More Inclusive Gender Representation.

We present an analysis of the representation of gender as a data dimension in data visualizations and propose a set of considerations around visual variables and annotations for gender-related data. Gender is a common demographic dimension of data collected from study or survey participants, passengers, or customers, as well as across academic studies, especially in certain disciplines like sociology. Our work contributes to multiple ongoing discussions on the ethical implications of data visualizations. By choosing specific data, visual variables, and text labels, visualization designers may, inadvertently or not, perpetuate stereotypes and biases. Here, our goal is to start an evolving discussion on how to represent data on gender in data visualizations and raise awareness of the subtleties of choosing visual variables and words in gender visualizations. In order to ground this discussion, we collected and coded gender visualizations and their captions from five different scientific communities (Biology, Politics, Social Studies, Visualisation, and Human-Computer Interaction), in addition to images from Tableau Public and the Information Is Beautiful awards showcase. Overall we found that representation types are community-specific, color hue is the dominant visual channel for gender data, and nonconforming gender is under-represented. We end our paper with a discussion of considerations for gender visualization derived from our coding and the literature and recommendations for large data collection bodies. A free copy of this paper and all supplemental materials are available at https://osf.io/v9ams/.

[The eye of technology and the well being of women and men in Icelandic work places]. / Alsjáandi auga taekninnar og líoan kvenna og karla í íslenskum fyrirtaekjum.

INTRODUCTION: The study assessed the association between working under surveillance and electronic performance monitoring and the well-being among women and men in six Icelandic workplaces. METHODS: In the time period from February to April 2003, a questionnaire based on the General Nordic Questionnaire for Psychological and Social Factors at Work was delivered to 1369 employees in six companies where different methods of electronic performance monitoring (EPM) are used. The data was analyzed using odds ratio and logistical regression. RESULTS: The response rate was 72%, with close to equal participation of men and women. The employees who were working under EPM were more likely to have poor psychosocial work-environment, to have experienced significant stress recently, to be mentally exhausted at the end of the workday, to have significant sleep difficulties and to be dissatisfied in their job. CONCLUSION: The development of the information and communication technology that allows employers and managers to monitor and collect different electronic data about the work process and productivity of the workers makes it important to follow the health condition of those who work under electronic performance monitoring.