Professional Network Engagement Surge: Women Find Success When Presenting to be Men

Do your LinkedIn followers recognizing you as a thought leader? Are hordes of commenters praising your advice on growing your business? Do recruiters reaching out to discuss opportunities?

If not, the reason might be your gender.

The Test: Modifying Gender Identity to achieve Increased Reach

Dozens of women participated in a collective professional network test this week following viral posts indicated that switching their gender to "male" boosted their platform visibility.

Other testers modified their profiles to include what they called "masculine-oriented" terminology - inserting results-driven business buzzwords like "drive", "revolutionize" and "accelerate". Based on reports, their visibility similarly increased.

Algorithmic Bias Questions Raised

The improved metrics has caused some to wonder whether an inherent sexism in the platform's system favors male users who use professional networking terminology.

Similar to most major social media platforms, LinkedIn utilizes an algorithm to determine which content are shown to which users - boosting some while reducing others.

Platform Response

In a recent blog post, LinkedIn acknowledged the trend but stated it does not consider "demographic information" when determining content distribution. Instead, the company explained that "numerous factors" affect how content are received.

Changing gender on your profile does not influence how your posts appears in search or feed.

Individual Results

Simone Bonnett, who changed her gender identifiers to "male pronouns" and her name to "Simon E", reported extraordinary results.

"The numbers I'm observing show a sixteen-fold rise in visitor traffic and a 1,300% increase in impressions," she commented.

Megan Cornish, a marketing expert, started testing after noticing her reach decline significantly.

The Process

  • First, she modified her gender to "man"
  • Subsequently, she used AI tools to rewrite her profile using "male-coded" language
  • Lastly, she repurposed old posts with similar "agentic" language

The outcome was instantaneous: a more than fourfold rise in visibility within seven days.

The Downside

Although the success, Cornish voiced unhappiness with the method.

"Previously, my posts were more personal - concise and insightful, but also friendly and human," she explained. "Currently, the bro-coded version was assertive and self-assured - similar to a Caucasian man swaggering around."

She discontinued the experiment after seven days, stating "Every day I persisted, and results got better, I became angrier."

Varying Outcomes

Some testers experienced positive results. Cass Cooper who modified both her gender to "male" and her ethnicity to "Caucasian" reported a decrease in reach and interaction.

"We understand there's algorithmic bias, but it's extremely difficult to understand how it functions in particular situations or the reasons behind it," she commented.

Wider Consequences

These experiments occur alongside ongoing conversations about LinkedIn's unique position as both a business platform and community site.

Platform modifications in the past few months have apparently resulted in women professionals experiencing markedly lower visibility, resulting in unofficial tests where the same posts by male and female users received vastly different audience engagement.

System Details

According to LinkedIn, the platform uses artificial intelligence to categorize and distribute content based on multiple factors, including post content and the member's career profile.

The company claims it frequently assesses its algorithms, including "examinations of gender-related disparities."

Company representative proposed that recent declines in some users' reach might stem from higher volume due to more content on the network.

Changing Landscape

According to a tester observed, "masculine-oriented language" appears to be increasing on the network.

"People often view LinkedIn as more businesslike and polished," she commented. "This is evolving. It's turning into increasingly aggressive and unpredictable."

Alison Lopez
Alison Lopez

Lena is a seasoned automation engineer with over a decade of experience in industrial control systems and digital transformation.