*This content was translated by AI.
Choi Min-soo of "Solo Hell 5" ranked No. 1 for the second consecutive week in the topical category of TV-OTT integrated non-drama performers in the first week of February announced by Good Data Corporation Fundex. In addition, more cast members made headlines compared to the previous week, with Lim Soo-bin, who is also on the show, ranking 2nd, Kim Min-ji 3rd, Park Hee-sun 5th, and Song Seung-il 9th.
With the performances of the cast, Netflix's "Solo Hell 5" rose 11.4% compared to the previous week, ranking No. 1 in TV-OTT non-drama programs. In addition, when comparing only the third week of its release, the program is 107.5% more popular than last season.
Son Jong-won and Kim Poong of "Take Care of My Refrigerator 2014" ranked fourth and sixth in the TV-OTT non-drama. Even though the program was canceled, it was confirmed that the two chefs in the program were still popular.
Park Bo-gum of "Bo-gum Magic Curl" was ranked 7th, while Untel of "Show Me the Money 12: The World of Yacha" was ranked 8th. The 10th place was found to be that of 'Radio Star'.
Meanwhile, Mnet's "Show Me the Money 12" ranked second in TV-OTT non-drama programs, while JTBC's "Please Take Care of My Refrigerator 2014" ranked third. In fourth place, "Hyunyeokga Wang 3," whose popularity rose 39.4% from the previous week, was listed.
From 5th to 10th place, ENA/SBS Plus' I'm SOLO, Netflix's Black and White Cook: Season 2 of Cooking Class Wars, Mnet's Show Me the Money 12: The World of Yacha, TV CHOSUN's Miss Trot 4, MBN's Bake Your Dream, and tvN's Bogum Magical.
The first week of February, announced by Good Data Corporation, included TV non-drama, OTT original non-drama, and performers and guests who appeared in each program from February 2, 2026, to February 8, 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.
