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September Stars of Attention: Aespa’s Karina, BTS’s Jin, and Jung Hae-in Top Brand Reputation Rankings

The stars that garnered the most attention in September include Aespa's Karina, Jung Hae-in, and BTS's Jin, according to a recent report by the Korea Corporate Reputation Research Institute

Karina topped the list for “Girl Group Individual Brand Reputation,” followed by IVE’s Jang Won-young and Aespa’s Winter.

In the link analysis for Karina’s brand, terms like “charming,” “participate,” and “prove” ranked highly, while the keyword analysis highlighted “supernova,” “Milan,” and “synchronization.”

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Karina attracted global attention while attending Milan Fashion Week as a brand ambassador for Prada on September 19, showcasing her doll-like beauty.

In the results of the big data analysis for “Boy Group Individual Brand Reputation,” BTS’s Jin ranked first, followed by ASTRO’s Cha Eun-woo and WANNA ONE’s Kang Daniel.

Jin scored high in the link analysis with terms like “steadfast,” “warm-hearted,” and “handsome,” while the keyword analysis featured “Run, Seokjin,” “Super Tuna,” and “variety show genius.”

Having been the first among BTS members to complete his military service in June, Jin is actively engaged in broadcasting activities, launching the YouTube show “Run, Seokjin” and appearing as a guest on MBC’s “Good to be Rested.” He has also been confirmed to appear in the Netflix variety show “The Great Disaster.”

In terms of singer brand reputation, Im Young-woong, known for his multi-entertainer activities through not only music but also film and variety shows, ranked first, followed by Aespa and SEVENTEEN.

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As for actors, Jung Hae-in, who is currently starring in tvN’s drama “Mom’s Friend’s Son,” took the top spot. He was followed by Jang Na-ra from SBS’s “Good Partner,” and Jo Jung-seok, who revealed his album release and debut process as a singer through Netflix’s “New Singer Jo Jung-seok.” Jeon Jong-seo and Byun Woo-seok followed behind.

The brand reputation index is analyzed based on consumers’ digital behavior through a reputation analysis algorithm, measuring participation, media, communication, and community indices.