Automated systems that implement Machine learning (ML) and Artificial Intelligence (AI)
algorithms present promising solutions to a variety of technological and non-technological …

In human-computer interaction (HCI) studies, bias in the gender representation of
participants can jeopardize the generalizability of findings, perpetuate bias in data driven …

Gender bias exists not only in the stereotypes used to portray male and female figures, but
more importantly, in the word choice media outlets use to describe political figures …

Privacy needs and stigma pose significant barriers to lesbian, gay, bisexual, and
transgender (LGBT) people sharing information related to their identities in traditional …

With the use of Generative AI (GenAI), Online Social Networks (OSNs) now generate a huge
volume of content data. Yet, user-generated content on OSNs, aided by GenAI, presents …

In this paper, we focus on the problem of determining the gender of the person described in
a biographical text. Since support vector machine classifiers are well suited for text …

Gender prediction is extensively studied in recent years since it is widely applied in many
fields. Several factors have been investigated to determine a gender of male or female …

Gender identification is the task of predicting the gender of an author of a given text. Some
languages, including Polish, exhibit gender-revealing syntactic expression. In this paper, we …

Demographic classification is essential in fairness assessment in recommender systems or
in measuring unintended bias in online networks and voting systems. Important fields like …

Demographic classification is essential in fairness assessment in recommender systems or
in measuring unintended bias in online networks and voting systems. Important fields like …