Park Min Young's ”Marry My Husband” ranks first in 2024's first TV series Hot Topic and cast Hot Topic

The first main character in the 2024 TV Series Hot Topic sex survey was actress Park Min Young. The official platform of Good Data Corporation, a specialized organization for K-content competitiveness research.
According to the January 1st week's survey results announced by FUNdex, the tvNTV series ``Marry My Husband'' ranked first in its first week of broadcasting. At the same time, the main character Park Min Young is also a drama.
Ranked 1st in the Hot Topic sex category. "Marry My Husband," which ranked first in the news, video, and SNS categories of the four Hot Topic sex survey categories, is based on the original web novel and web manga.
It turned out that there was a lot of interest among netizens who did. Park Min Young, who played the main character, was ranked 1st in the TV series performer Hot Topic sex category for the first time in 4 years since ``Her Private Life'' in 2019.
It was discovered. 2nd to 5th place goes to SBS's "My Demon," JTBC's "Welcome to Samdalli," MBC's "Legend of Park's Contract Marriage," and KBS.
The rankings were compiled in the order of 2TV's ``Koryo-Khitan War.'' 9 on Good Data Corporation's official platform "Fandex"
This ranking announced on the 1st of 2024 is based on the TV TV Series and OTT original TV Series that are being broadcast, released, or scheduled to be broadcast from January 1st to January 7th, 2024, and the performers who appeared in each program.
Included in the survey. The Hot Topic gender survey to select the most competitive programming of the week includes news articles, VON (Voice of
Netizen), videos (video clips and shorts), program-related information generated on SNS, and netizens in response to it
This is the result of analyzing the reactions of Among the materials collected for the investigation, materials unrelated to the program and abusive materials intended to intentionally increase the Hot Topic score are removed through the filtering stage.
It analyzes the competitiveness of programs more accurately, with an accuracy of over 97%.