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Anti-Filter Beauty Campaigns

Clean the Sky - Positive Eco Trends & Breakthroughs

Dove is Inviting Social Media Users to Fight Digital Distortion

— March 16, 2023 — Fashion
For decades, Dove has been championing real women and real beauty all over the world, and its newest campaign boldly opposes the viral Bold Glamour filter on TikTok. With this campaign, Dove is inviting people to join the fight against digital distortion and, quite literally, turn their backs on the filter. The influencer-led campaign highlights the feelings of content creators, who share their personal feelings on the filter and the potential damages it can cause surrounding beauty ideals.

The Bold Glamour filter is one of the most realistic face-altering filters to date and it leverages machine-learning technology to automatically lift cheekbones, thin noses, plump lips and sculpt eyebrows.

Dove is calling for its global community to post a video to #TurnYourBack on the Bold Glamour filter as part of the #NoDigitalDistortion movement.
Trend Themes
1. Nodigitaldistortion Movement - The movement against digital distortion presents an opportunity for beauty brands and social media platforms to create and promote campaigns that celebrate natural beauty.
2. Embracing Authenticity - More brands can follow Dove's lead in encouraging authenticity and inclusivity in their campaigns to create a positive impact on social media.
3. Anti-filter Advertising - The trend towards anti-filter advertising is likely to continue as more users become aware of the impact of filtered images.
Industry Implications
1. Beauty Industry - The beauty industry has an opportunity to align itself with the NoDigitalDistortion movement and create campaigns that promote natural beauty and authenticity.
2. Social Media Industry - Social media platforms can take a stand against digital distortion and incorporate features that promote authenticity and transparency on their platforms.
3. Artificial Intelligence Industry - As concerns about digital distortion grow, the AI industry can develop tools and technologies that detect and prevent the use of face-altering filters.
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