Actor Park Ji-hoon has climbed to No. 1 in the Actor Brand Reputation rankings, powered by the 10-million box office run of film “The King's Warden” and the rebound of “Weak Hero Class 1” on Netflix.
The Korea Corporate Reputation Research Institute measured 94,148,890 pieces of brand big data for 100 actors appearing in dramas that aired between February 18, 2026, and March 18, 2026. The data was analyzed by consumer brand participation, media coverage, communication, and community metrics to produce a Brand Reputation Index via its algorithm.
Park Ji-hoon took the top spot. His brand recorded a participation index of 2,916,083, media index of 2,700,799, communication index of 1,870,080, and community index of 1,388,790, for a total Brand Reputation Index of 8,875,752.
“The King's Warden,” led by Park Ji-hoon, surpassed 10 million admissions in 31 days and reached 13.7 million cumulative moviegoers as of the 18th. In addition, his past series “Weak Hero Class 1” has been surging again on Netflix, showcasing red-hot popularity.
Gu Chang-hwan, head of the Korea Corporate Reputation Research Institute, said, “In the March 2026 actor brand reputation analysis, Park Ji-hoon ranked No. 1. In the big data link analysis, ‘reverse trend,’ ‘spotlighted,’ and ‘exceptional’ ranked high for the Park Ji-hoon brand. In the keyword analysis, ‘Weak Hero Class 1,’ ‘Yeon Si-eun,’ and ‘school violence’ ranked high. The positive-to-negative ratio came out at 90.42% positive.”
No. 2 went to Lee Jun-hyuk, who also stars in “The King's Warden” and appeared in the Netflix series “The Art of Sarah.” No. 3 went to Shin Hye-sun, who plays the title role in “The Art of Sarah.”
The Actor Brand Reputation analysis evaluates brand big data through participation, media, communication, and community indices. The Brand Reputation Index is derived by extracting brand big data and analyzing consumer behavior through a reputation analysis algorithm, then categorizing into participation value, communication value, media value, community value, and social value, with weighted scoring.
This big data analysis measures factors such as positive/negative evaluations of the brand, media sources and interest levels, consumer interest and communication volume, community spread of issues, and reactions and popularity of content.
(SBS Entertainment News | Kim Ji-hye)
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