Netflix's 'Lady Dua' Tops TV-OTT Drama Buzz Rankings for Second Consecutive Week

Netflix's original drama 'Lady Dua' has claimed the top spot in the TV-OTT integrated drama buzz rankings for the third week of February. This marks the second consecutive week it has held the number one position since its debut. The show's lead actress, Shin Hye-sun, who is receiving praise for her bold transformation, also secured the top spot in the TV-OTT integrated drama cast buzz rankings for the second week in a row.

Won Sun-woo, a data producer at Good Data Corporation, stated, “In 2026, Netflix dramas have already achieved the number one spot five times.” He analyzed the recent success of Netflix dramas like 'Emma,' 'Eun-jung and Sang-yeon,' 'It Shall Be Fulfilled,' 'You Killed,' 'The Price of Confession,' and 'Is This Love Translatable?' along with 'Lady Dua,' noting, “Netflix's dominance in buzz is becoming more pronounced as it moves away from traditional male-centric crime thrillers to showcase a variety of genres centered around female protagonists.”

Following last week, tvN's 'Undercover Miss Hong' secured the second spot, while KBS2's 'Dear Thief' concluded with a significant record, finishing in third place. Good Data Corporation reported that 'Dear Thief's' final buzz score is the highest for any KBS2 drama broadcast since 2024. The performances of the main and supporting cast, including Nam Ji-hyun, who ranked third in cast buzz, received positive reviews.

In fourth place is MBC's new Friday-Saturday drama 'In Your Glorious Season,' while Netflix's 'Is This Love Translatable?' took the fifth spot.

Meanwhile, in the drama cast buzz rankings, Shin Hye-sun holds the top position, followed by Park Shin-hye (2nd), Nam Ji-hyun (3rd), Moon Sang-min (4th), and Chae Jong-hyeop (5th).

Good Data Corporation's weekly buzz index survey is conducted by comprehensively analyzing program-related information and user reactions across various platforms, including news articles, netizen reactions (Voice of Netizen), video content (clips and short forms), and social media. Additionally, content unrelated to the program or abusive data intended to artificially inflate buzz scores is filtered out through a screening process.

Kim Ji-won, TenAsia Reporter bella@tenasia.co.kr