Park Jae-beom, Zico 力.."Show Me the Money 12" TV/OTT No. 1 integrated non-drama

*This content was translated by AI.

Choi Min-soo of "Solo Hell 5" ranked first in the topical category of TV-OTT integrated non-drama performers in the fifth week of January announced by Good Data Corporation Fundex. In addition, Kim Min-ji, who is also on the show, ranked 5th, Lim Soo-bin ranked 6th, and Song Seung-il ranked 9th, proving that it is the most popular love entertainment in recent years. Netflix's "Solo Hell 5" showed a 40.6% increase in popularity compared to the previous week due to the performances of the performers.

Kim Poong and Son Jong-won of "Take Care of My Refrigerator 2014" won the second and third places for TV-OTT non-drama performers. The two chefs' disclosure of the refrigerator became an issue.

Park Bo-gum of "Bogum Magic Curl" was ranked fourth, while Gian84 of "Extreme 84" was ranked seventh. The 8th and 9th places were found to be Jenny from the "Manito Club" and Park Shin-hye from the "too rough a manager for me – secretarial staff," respectively.

Meanwhile, Mnet's "Show Me the Money 12" topped the TV-OTT non-drama program category. It was ranked No. 1 in three weeks after it was aired.

From second to fifth, Netflix's "Solo Hell 5," JTBC's "Take Care of My Refrigerator 2014," Netflix's "Black and White Cook: Season 2 of Cooking Class War," and ENA/SBS Plus's "I'm SOLO" were ranked sixth, while tvN's new entertainment show "Bogum Magic" was ranked sixth.

From 7th to 10th, TV CHOSUN's "Miss Trot 4," tvN's "YOU QUIZ on the Block," KBS2's "Gag Concert," and MBN's "Actual Singer 3."

The January 5th week ranking announced by Good Data Corporation included TV non-drama, OTT original non-drama, and performers and guests who appeared in each program from January 26, 2026 to February 1, 2026.

The topical survey to select the most competitive program for the week is the result of analyzing program-related information and netizen reactions from news articles, VONs (Voice of Netizen), videos (video clips and shorts), and SNS. Among the data collected for the investigation, data not related to the program and evaluation data for intentionally raising the topic score are processed through the filtering step. Through this process, program competitiveness is being analyzed more accurately and the accuracy is more than 97%.

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*This content was translated by AI.