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    Home»Social Media»Authenticity vs. Algorithms: Why ‘Raw’ Content is Dominating Social Media (and How Brands Can Adapt)
    Social Media

    Authenticity vs. Algorithms: Why ‘Raw’ Content is Dominating Social Media (and How Brands Can Adapt)

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    AdminBy AdminJanuary 22, 2021Updated:May 2, 2025No Comments3 Mins Read
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    In an era of hyper-curated feeds and AI-polished perfection, social media users are rebelling—and winning. Platforms like TikTok, BeReal, and Instagram are now flooded with grainy selfies, unedited rants, and “day in my life” clips filmed in messy bedrooms. This shift toward raw, unfiltered content isn’t just a trend; it’s a cultural revolt against algorithms that once rewarded gloss over grit. Here’s why authenticity is winning, and how brands can pivot without losing their soul.

    1. The Rise of ‘Raw’ Content: Why Audiences Are Over Perfection
    • Pandemic Hangover: Lockdowns normalized vulnerability (see: Zoom fails, no-makeup selfies), making polished content feel out-of-touch.
    • Gen Z’s BS Detector: 72% of Gen Z users prefer brands that “keep it real” over those with flawless aesthetics (Sprout Social, 2023).
    • Algorithmic Fatigue: Users are tired of feeling “sold to.” Raw posts disrupt the scroll with relatability—think “Instagram vs. Reality” comparisons.
    1. How Algorithms Accidentally Fueled the Authenticity Movement

    Paradoxically, platforms’ own algorithms now reward “imperfect” content:

    • Watch Time Trumps Polish: Raw videos (e.g., candid rants, shaky POV clips) keep viewers hooked longer than static ads.
    • Engagement Over Aesthetics: Comment-heavy posts (like Reddit-style storytelling) boost algorithmic visibility.
    • BeReal’s Influence: Its unedited, time-sensitive format forced platforms like Instagram to prioritize “Candid Stories” and “Close Friends” content.
    1. Brands Doing ‘Raw’ Right: Case Studies
    • Duolingo’s Unhinged TikTok Owl: The brand’s chaotic, meme-driven posts (no script, no budget) earned 4M+ followers by mirroring user humor.
    • Chipotle’s #GuacDance: Employees and customers film messy, joyful guacamole-making clips—UGC that outperforms studio ads.
    • Glossier’s “Skin First” Pivot: Ditching airbrushed models for customer selfies with acne, scars, and texture.

     

    1. How to Adapt: Balancing Authenticity and Strategy

    Brands can’t just “be real”—they need to hack authenticity within algorithmic constraints:

    • Lean Into Lo-Fi Formats:
      • Film vertical videos on phones, not DSLRs.
      • Use native platform tools (e.g., TikTok’s CapCut, Instagram’s Boomerang).
    • Let Employees Lead: Encourage staff to become micro-influencers (e.g., Starbucks baristas sharing “a day behind the counter”).
    • Embrace Imperfection: Share bloopers, supply chain hiccups, or even negative reviews (see: Liquid Death’s “Unfiltered AF” campaign).
    • Rethink Metrics: Prioritize comments and shares over vanity likes.
    1. The Risks: When ‘Raw’ Backfires
    • Forced Relatability: Users spot inauthenticity fast (e.g., CEOs awkwardly dancing on LinkedIn).
    • Brand Safety: Unfiltered content can spiral (see: Elon Musk’s Twitter rants).
    • Over-Exposure: Not every brand can be “chaotic good”—know your limits.
    1. The Future: Can Authenticity Survive the Algorithm?
    • AI’s Double-Edged Sword: Tools like ChatGPT help brands sound conversational, but overuse risks homogeneity.
    • Regulation Looms: The FTC’s crackdown on undisclosed ads may force even “raw” posts to add #sponsored.
    • The Next Rebellion: As raw becomes mainstream, expect a counter-movement (think: analog nostalgia or anti-AI art).

     

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