Language corpora are the foundation of most natural language processing research, yet they often reproduce structural inequalities. One such inequality is gender discrimination in how actors are represented, which can distort analyses and perpetuate discriminatory outcomes. This paper introduces a user-centric, actor-level pipeline for detecting and mitigating gender discrimination in large-scale text corpora. By combining discourse-aware analysis with metrics for sentiment, syntactic agency, and quotation styles, our method enables both fine-grained auditing and exclusion-based balancing. Applied to the taz2024full corpus of German newspaper articles (1980-2024), the pipeline yields a more gender-balanced dataset while preserving core dynamics of the source material. Our findings show that structural asymmetries can be reduced through systematic filtering, though subtler biases in sentiment and framing remain. We release the tools and reports to support further research in discourse-based fairness auditing and equitable corpus construction.

In 2004, Holly Longdale was a game designer on EverQuest, then the champion of a new genre of video game that allowed for multiplayer role-playing on a huge scale. In these online fantasy worlds, players could quest together rather than alone, adding a fascinating new social – and competitive – dimension to the static, offline role-playing that Holly's generation had grown up with. But whenever she could, Longdale would sneak in a few hours playing EverQuest's main competitor instead. That game was World of Warcraft (WoW). "There were so many moments in WoW I was envious of," she says, "and completely lost in. I remember running through Ashenvale as a Night Elf Hunter and the music and the ambience – there was a mood you couldn't deny. Then I saw another player running in the opposite direction, a Druid who buffed me on their way by. That was when I knew I was going to be in this for the long-haul."

For the second time in just a few years, South Korean women took to the streets of Seoul to demand an end to sexual abuse. When the country spearheaded Asia's #MeToo movement, the culprit was molka – spy cams used to record women without their knowledge. Now their fury was directed at an epidemic of deepfake pornography. For Juhee Jin, 26, a Seoul resident who advocates for women's rights, the emergence of this new menace, in which women and girls are again the targets, was depressingly predictable. "This should have been addressed a long time ago," says Jin, a translator.

Recent advancements in machine learning and deep learning have brought algorithmic fairness into sharp focus, illuminating concerns over discriminatory decision making that negatively impacts certain individuals or groups. These concerns have manifested in legal, ethical, and societal challenges, including the erosion of trust in intelligent systems. In response, this survey delves into the existing literature on algorithmic fairness, specifically highlighting its multifaceted social consequences. We introduce a novel taxonomy based on 'tolerance', a term we define as the degree to which variations in fairness outcomes are acceptable, providing a structured approach to understanding the subtleties of fairness within algorithmic decisions. Our systematic review covers diverse industries, revealing critical insights into the balance between algorithmic decision making and social equity. By synthesizing these insights, we outline a series of emerging challenges and propose strategic directions for future research and policy making, with the goal of advancing the field towards more equitable algorithmic systems.

Violet Crown City Church Pastor Jay Cooper said that using AI to conduct a service at his church did not capture the essential elements required for Christian worship. A prominent Black megachurch in New York City is being accused of discriminating against a woman who lost her bid to become its senior pastor. Yale Divinity School Professor Eboni Marshall Turman filed a lawsuit against Abyssinian Baptist Church alleging she was rejected from the final round of candidates applying to lead the church after the death of Rev. Calvin O. Butts III in 2022. Marshall Turman previously served as the late reverend's assistant and was the church's youngest female Assistant Minister from 2002-2012. In her Dec. 29 lawsuit, she accuses the church and search committee chair Valerie S. Grant of acting inappropriately by "pressing issues not broached with [Marshall Turman's] male counterparts" during the interview process, the Associated Press reported.

A lot has changed in the world of automation since Apple first launched its virtual assistant, Siri, on October 4, 2011. It's a date that musician, actress, and public speaker, Susan Bennett, remembers well because she's the original female, American voice behind Siri. "It is still weird," she said on this episode of The Insuring Cyber Podcast. "It's like, 'How many millions of people know my voice?' …I don't really think about that aspect of it." After getting her start in entertainment as a musician working on commercial jingles and singing backup vocals on tour with Burt Bacharach and Roy Orbison, Bennett began voiceover work at Doppler Studios in Atlanta.

Activision Blizzard has confirmed an investigation by US regulators following allegations of sexual misconduct and discrimination at one of the world's most high-profile video game companies. The California-based company said on Tuesday that it was complying with a recent Securities and Exchange Commission subpoena sent to current and former employees and executives and the company itself on "employment matters and related issues". The Wall Street Journal had reported on Monday that the SEC was investigating how the company had treated complaints of sexual misconduct and workplace discrimination and had subpoenaed senior executives including the CEO, Bobby Kotick, a well-known tech billionaire. An SEC spokesman declined to comment. Activision Blizzard – the maker of popular video games including Candy Crush, Call of Duty, Overwatch and World of Warcraft – also said on Tuesday that it had cooperated with an Equal Employment Opportunity Commission investigation into employment practices and that it was working with multiple regulators "on addressing and resolving workplace complaints it has received" and that it was committed to making the company "one of the best, most inclusive places to work".

When California's fair employment agency sued Activision Blizzard, one of the largest video game studios in the world, on July 20th, it wasn't surprising to hear the allegations of systemic gender discrimination and sexual harassment at the company. It wasn't a shock to read about male executives groping their female colleagues, or loudly joking about rape in the office, or completely ignoring women for promotions. What was surprising was that California wanted to investigate Activision Blizzard at all, considering these issues have seemingly been present since its founding in 1979. Activision Blizzard is a multibillion-dollar publisher with 9,500 employees and a roster of legendary franchises, including Call of Duty, Overwatch, Diablo and World of Warcraft. On July 20th, California's Department of Fair Employment and Housing filed a lawsuit against Activision Blizzard, alleging executives had fostered an environment of misogyny and frat-boy rule for years, violating equal pay laws and labor codes along the way.

A lawsuit filed by the state of California on Wednesday alleges sexual harassment, gender discrimination and violations of the state's equal pay law at the video game giant Activision Blizzard. A lawsuit filed by the state of California on Wednesday alleges sexual harassment, gender discrimination and violations of the state's equal pay law at the video game giant Activision Blizzard. The video game studio behind the hit franchises Call of Duty, World of Warcraft and Candy Crush is facing a civil lawsuit in California over allegations of gender discrimination, sexual harassment and potential violations of the state's equal pay law. A complaint, filed by the state Department of Fair Employment and Housing on Wednesday, alleges that Activision Blizzard Inc. "fostered a sexist culture" where women were paid less than men and subjected to ongoing sexual harassment including groping. Officials at the gaming company knew about the harassment and not only failed to stop it but retaliated against women who spoke up, the complaint also alleges.

Machine Learning models have been deployed across almost every aspect of society, often in situations that affect the social welfare of many individuals. Although these models offer streamlined solutions to large problems, they may contain biases and treat groups or individuals unfairly. To our knowledge, this review is one of the first to focus specifically on gender bias in applications of machine learning. We first introduce several examples of machine learning gender bias in practice. We then detail the most widely used formalizations of fairness in order to address how to make machine learning models fairer. Specifically, we discuss the most influential bias mitigation algorithms as applied to domains in which models have a high propensity for gender discrimination. We group these algorithms into two overarching approaches -- removing bias from the data directly and removing bias from the model through training -- and we present representative examples of each. As society increasingly relies on artificial intelligence to help in decision-making, addressing gender biases present in these models is imperative. To provide readers with the tools to assess the fairness of machine learning models and mitigate the biases present in them, we discuss multiple open source packages for fairness in AI.