G-Dragon and TWICE’s Sana Dating Rumors Resurface Amidst New Show Appearance

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Dating rumors between BIGBANG’s G-Dragon and TWICE’s Sana have reignited following his recent guest appearance on Sana’s YouTube talk show, Fridge Interview, which she co-hosts with celebrity Dex.

The speculation initially began earlier in May when G-Dragon attended Coldplay’s Seoul concert, where TWICE performed their special collaboration “We Pray.”

During the event, G-Dragon posted an Instagram story tagging Sana with a shocked face emoji, which was soon deleted but not before sparking widespread rumors across social media and Korean media outlets.

While some fans quickly linked the tag to a possible romantic connection, others debated and criticized the assumptions about G-Dragon’s intentions.

The recent announcement of G-Dragon’s guest spot on Fridge Interview helped clarify the situation, revealing that the Instagram tag was likely related to the show’s filming rather than anything romantic.

G-Dragon and TWICE’s Sana (Credit: YouTube)

A viral post on the Korean forum Pann highlighted how the backlash was unnecessary, pointing out that the media’s rush to link the tag to dating rumors was problematic and exhausting for the artists involved.

Fans expressed excitement about the upcoming episode, set to air on June 5, 2025, and looked forward to the star-studded show.

However, the inclusion of co-host Dex stirred additional reactions, as he had previously mentioned Sana as his ideal type, which led to mixed responses from fans.

Overall, while dating rumors continue to swirl, the upcoming interview is anticipated to shed more light on their professional relationship and provide entertaining content for fans.

Written by Mason Turner Senior Editor Kpop, Content, Strategy, Trends, Fandom, Reviews, Publishing Mason Turner has 8 years of experience in editorial management and holds a degree in Communications with certification in digital publishing and workflow optimization.

Mason Turner manages K-pop editorial output with an emphasis on structure, consistency, and publication efficiency. He refines content pipelines, ensuring articles meet accuracy and formatting standards before release. His approach integrates editorial judgment with performance data to maintain relevance across topics. He focuses on scalable processes that support high volume publishing without compromising quality.

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