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Women's sports are fighting an uphill battle against our social media algorithms
Women's sport is more and more getting the attention it deserves. Stadiums are filling, television ratings for many sports are climbing and athletes such as the Matildas' Mary Fowler, triple Olympic gold medallist Jess Fox and star cricketer Ellyse Perry are becoming household names. Despite this
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Women's sports are fighting an uphill battle against social media algorithms
Women's sport is more and more getting the attention it deserves. Stadiums are filling, television ratings for many sports are climbing and athletes such as the Matildas' Mary Fowler, triple Olympic gold medalist Jess Fox and star cricketer Ellyse Perry are becoming household names. Despite this
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Despite progress in women's sports, AI-driven content algorithms on social media platforms are creating an 'echo chamber' effect that could hinder the visibility and growth of women's athletics.

Women's sports have been gaining significant traction in recent years, with increasing stadium attendance, rising television ratings, and the emergence of household names like Mary Fowler, Jess Fox, and Ellyse Perry
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. However, this progress faces a new challenge in the form of AI-driven content algorithms on social media and streaming platforms.As sports consumption shifts to digital platforms like YouTube, TikTok, and Instagram, AI algorithms are increasingly determining what content users see. These algorithms, designed to maximize engagement and profits, prioritize already popular content, which often means men's sports
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. This creates an "echo chamber" effect, where users are shown more of what they already engage with, potentially squeezing out women's sports content2
.The problem extends beyond content curation to content creation. Generative AI tools like ChatGPT and Sora are now producing match reports, fan commentary, and video summaries. However, these systems are trained on historical data that overwhelmingly favors men's sports, potentially automating and scaling existing gender biases across millions of screens
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.This algorithmic bias has tangible consequences for women's sports:
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A 2024 study in Victoria revealed that only about 15% of traditional sports media coverage is dedicated to women's sports, mirroring a 2019 European Union study across 22 countries
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. AI algorithms threaten to compound these historic disparities, with a 2024 study finding that algorithms trained on historical data reproduce and even amplify gender bias1
.To address this issue, several solutions have been proposed:
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Australia is well-positioned to lead this change, given its globally competitive women's national teams, growing domestic leagues, and rising fan interest. However, maintaining visibility is crucial for sustaining this momentum
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.As AI increasingly dictates what content users see, ensuring the visibility of women's sports in digital spaces becomes even more critical. The challenge lies in making women's sports seen, heard, and valued in the digital realm where modern fandom thrives
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.Summarized by
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30 Jul 2025•Technology

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