LinkedIn Algorithm Accused of Gender Bias; New Controversy Among Female Users

Staff Report: PNN

LinkedIn’s new content algorithm faces accusations of gender bias. Several female creators reported that after changing their profile gender from female to male, the reach and impressions of their posts increased significantly.

In November, a product strategist, pseudonymously called “Michelle,” participated in this experiment. After changing her profile name and gender to “Michael,” her posts suddenly gained far more visibility, despite no other changes. Others, like Marilyn Joyner, reported a 2.5x increase in impressions within a day.

LinkedIn denies bias, stating their algorithm does not use demographics like age, gender, or ethnicity, but prioritizes user behavior, network, interests, and content relevance.

Experts warn the issue is complex. Data ethics specialist Brandeis Marshall noted algorithms rely on invisible signals and behavioral data, potentially reflecting societal biases. Human writing patterns can also introduce indirect bias.

While LinkedIn claims the increased engagement is due to competitiveness in the feed, some users find the algorithm confusing and frustrating. The debate continues over whether the algorithm unintentionally favors certain users or reflects their behavior and content history. Users increasingly demand transparency.