tvN’s “Jeongnyeon: The Star Is Born” (The Retirement) continues its impressive run, topping the rankings in the Good Data Corporation’s TV-OTT Drama Buzz Analysis for the 6th consecutive week. The drama clinched the top spot across all categories that measure buzz, including news coverage, VON (Voice of Netizen), SNS activity, videos, and search reactions. The search reaction category, which counts the most searched dramas, also placed “Jeongnyeoni” at #1.
In the cast popularity ranking, actress Kim Tae Ri retained her spot as the most talked-about celebrity for the fifth straight week. Both Jeong Eun Chae and Shin Ye Eun also made it to the top 10, further proving their growing popularity.
Despite the drama’s consistent buzz, Good Data’s Won Sun Woo, a data analyst, explained that the show’s popularity didn't see a significant increase towards the end of its run. “The fantastic performances by Kim Tae-ri, Shin Ye-eun, and Jeong Eun-chae sparked great reactions from netizens,” he said. “However, the predictable plot, mainly focused on the lead characters, limited the show's broader appeal.” While the cast maintained high buzz, the overall buzz for the show started to plateau towards the latter episodes.
Following “Jeongnyeon: The Star Is Born” at the top spot, the rankings from 2nd to 5th remained unchanged from last week: SBS’s “Hot Blood Priest 2”, MBC’s “Such a Close Betrayer”, JTBC’s “Modular Family”, and JTBC’s “Silent Sales” took the next four spots.
The OTT originals released the previous week saw a rise in buzz: Netflix’s “Mr. Plankton” and Disney+’s “Gangnam B-Side” ranked 6th and 7th, respectively.
The rest of the top 10 included ENA’s “Drunken Romance” in 8th, Tving’s “Good or Bad Dongjae” in 9th, and KBS2’s “Irony Family” in 10th.
The Good Data Corporation’s weekly analysis for the 2nd week of November covered dramas airing or set to air between November 11th and 17th, including TV and OTT original dramas, and the cast members involved. This analysis tracked program-related information, netizen reactions, news articles, VON, video clips, and social media activity. Data that was irrelevant or aimed at manipulating buzz scores was filtered out, ensuring that the analysis remained highly accurate, with an accuracy rate of over 97%.
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