Face Book
Beyond Connection and Competition:
A Contemporary Analysis of Gendered Behavior on Social Media

Rasheed Ahmad Chughtai
www.rachughtai.com

Rasheed Ahmad Chughtai

www.rachughtai.com

The assertion by Facebook COO Sheryl Sandberg that “the world’s gone social. And women are more social than men” has long been a cornerstone of understanding gendered social media usage. Initial data suggested women dominate platforms in both numbers and engagement, using them for connection, while men approached platforms as informational resources and tools for competition. However, the digital landscape has evolved significantly. This paper revisits these foundational concepts, analyzing historical user data alongside contemporary research from 2024 to 2026. It explores how platform diversification, algorithmic influence, and evolving cultural norms are reshaping gendered online behaviors. While traditional models of female social connectivity and male informational competition persist, new research reveals a more complex picture: algorithmic systems often reinforce gender stereotypes, emerging platforms like TikTok create new dynamics of performativity and fatigue, and distinct patterns of risk and vulnerability are emerging for young men and women online. This analysis synthesizes classic observations with cutting-edge academic studies to provide a nuanced understanding of gender in the current social media ecosystem.

1. Introduction: The Foundational Divide

In the late 2000s and early 2010s, the narrative around gender and social media was relatively straightforward. Data from sources like BrianSolis.com and Google Ad Planner indicated that Facebook, then the dominant social network, was 57% female, with women being more active participants. As Sheryl Sandberg noted, women had more friends and were responsible for the majority of sharing. This behavior was mirrored on platforms like Twitter and Myspace, which also skewed female. In contrast, men gravitated towards content-oriented sites like Digg, YouTube, and LinkedIn, which were viewed as tools for information gathering, research, and professional networking .

Experts at the time attributed these differences to deep-seated sociological and evolutionary factors. Scholars like Lorrie Thomas and Sherry Perlmutter Bowen posited that men used social media as an “interactive Rolodex” to boost influence and compete, while women used it to build relationships and share personal experiences. Psychologist Leslie Sokol traced this back to evolutionary survival methods, where men competed for status and women built communal support networks . This binary—women as connectors, men as competitors—formed the bedrock of early social media gender analysis.

2. The Evolving Methodological Landscape

Today’s understanding of gender and social media is driven by more sophisticated data sources. While early analyses relied on site traffic and simple surveys, contemporary research leverages massive datasets and interdisciplinary methodologies.

Large-scale platform data has become a crucial tool. For instance, a 2025 study published in PNAS utilized machine learning algorithms applied to Facebook user counts, geospatial data, and household surveys to map digital gender gaps in low- and middle-income countries. This study, covering 117 nations from 2015 to 2025, found that women in these regions are 19% less likely to use the internet than men, highlighting that the gender divide is not just about behavior but about fundamental access .

Furthermore, the role of algorithms themselves is now under scrutiny. Researchers at IE University have explored how social media algorithms can create feedback loops that reinforce gender bias. Because algorithms are designed to maximize engagement by reflecting existing user behavior, they can amplify stereotypes. For example, if men click on job ads for lumberyards more frequently, the algorithm will show that ad to more men, creating a self-fulfilling prophecy and excluding women from the opportunity. This phenomenon has led to lawsuits against platforms like Facebook for gender-based ad discrimination and forced companies like LinkedIn to correct job-matching algorithms that favored men due to more complete profiles .

3. Contemporary Findings: A Nuanced Gender Portrait

The classic binary of “connectors” vs. “competitors” is now understood as a starting point, not the full picture. Recent research reveals a far more complex terrain where gender intersects with platform choice, content type, and psychological impact.

3.1 Visual Communication and Platform Affordances

A study on gender and image sharing in the UK confirmed that females share photos more often overall and are more active on visually-driven, relationship-focused platforms like Snapchat. They also interact more with others’ content through likes and comments, using filters and creating albums. In contrast, males shared more images on Twitter (now X), particularly related to hobbies, and were more likely to be alone in their profile pictures, supporting the idea of a more individualistic or informational presentation .

3.2 Divergent Risks: The Rise of Platform-Specific Gendered Stressors

The most striking recent developments concern the distinct negative impacts platforms are having on young men and women.

For young women, platforms like TikTok are creating a crisis of aesthetic self-objectification. A 2025 study in Frontiers in Psychology introduced the concept of an “imagination tax” on Chinese young women, describing the expenditure of time, money, and emotional energy to conform to beauty ideals amplified by platform algorithms . This is echoed in research from University College London, which found that young women on TikTok experience “(post)feminist fatigue,” rejecting traditional empowerment narratives in favor of nihilism or aestheticized domesticity, as algorithmic logics co-opt their grievances into consumerist practices . Furthermore, surprising data from Socialprofiler’s 2025 analysis of 756 million profiles indicates that Gen Z women are now more likely to engage with NSFW (not safe for work) content on X than their male counterparts, a trend that complicates traditional assumptions about male consumption of such material .

For young men, the digital world is increasingly shaping a narrow and often damaging definition of masculinity. A 2025 study by Common Sense Media found that 73% of boys aged 11-17 are regularly exposed to masculinity-related content online, with algorithms being the primary driver. This content often promotes “problematic” gender stereotypes and places immense pressure on physical appearance, with one in four boys feeling they should change how they look to be more muscular or have a better jawline. Crucially, boys with the highest exposure to this content are significantly more likely to report loneliness and low self-esteem, creating a paradox where they suppress vulnerability while also prioritizing caring behaviors . This content often originates from online influencers, who have replaced traditional family figures as primary sources of guidance for adolescent boys.

3.3 The Commercialization of Gender

Advertisers and marketers have long exploited these gendered behaviors, but recent research shows the targeting has become more precise and, at times, predatory. A 2025 study on personalized advertising revealed a stark intersectional divide. Young people from lower socioeconomic backgrounds are disproportionately targeted with ads for easy money, gambling, and quick loans—patterns particularly pronounced in young men. Simultaneously, women are predominantly targeted with ads for beauty, parenting, and education, reinforcing traditional gender roles. This algorithmic profiling exacerbates social inequalities by exploiting vulnerabilities tied to gender and class . This aligns with older marketing wisdom—that women are key influencers for brands —but updates it with a warning about the potential for algorithmic exploitation.

Conversely, research from 2025 in the Asia-Pacific Journal of Business Administration suggests that for advertisers willing to look beyond stereotypes, opportunities exist. While ads emphasizing entertainment significantly influence female purchase intentions, ads highlighting product value resonate more with males. Informative and creative ads, however, have universal appeal, suggesting that a nuanced, rather than a stereotyped, approach is most effective .

4. Discussion: From Binary to Intersectionality

The evidence clearly shows that while the foundational motivations of connection and competition remain relevant, they are insufficient to explain the modern social media experience. The digital world is not a neutral mirror of society; it is an active agent that shapes and reinforces gendered behaviors through its core architecture: the algorithm.

For young women, the drive for connection has been commodified and turned inward, resulting in aesthetic self-surveillance and an “imagination tax” . For young men, the drive for competition and status has been hijacked by influencers peddling a narrow, often toxic, vision of masculinity that correlates with loneliness and poor mental health . These are not simply men and women acting out innate differences; they are users responding to algorithmic feedback loops designed to maximize engagement, often by amplifying insecurity and stereotype.

Furthermore, the global perspective adds a critical layer. As the PNAS study shows, for billions of women in low- and middle-income countries, the primary issue is not how they use social media, but whether they can access it at all . This digital gender gap dwarfs the behavioral nuances observed in the Global North and represents a fundamental barrier to equality.

The question of what men and women are doing on Facebook—and the broader social media ecosystem—no longer has a simple answer. The binary model of women as social connectors and men as informational competitors, while historically useful, has evolved into a complex web of behaviors shaped by algorithmic bias, platform diversification, and emerging psychological risks. The latest research reveals a landscape where young women navigate pressures of aesthetic perfection and commodified self-presentation, while young men grapple with narrow and damaging prescriptions of masculinity delivered directly to their feeds by algorithms. As Patricia Gabaldón of IE Business School suggests, younger generations are more aware of these biases . Whether this awareness translates into a reshaping of the algorithms—or of the gendered behaviors that feed them—remains the critical question for the next decade of digital research. For marketers, policymakers, and parents, understanding this nuanced terrain is no longer just an academic exercise, but a necessity for fostering a healthier, more equitable digital world.

Rasheed Ahmad Chughtai

www.rachughtai.com