Backlash Over Insult to BLACKPINK’s Jennie Sparks Social Media Outrage

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A BABYMONSTER page on X (formerly Twitter) faced severe backlash on May 8 (KST) after posting a derogatory comment aimed at BLACKPINK’s Jennie in response to her photos from the 2024 MET Gala.

The controversial comment, “Jennie sucks,” accompanied by a barfing emoji, was posted under images of Jennie’s appearance at the prestigious event. The remark immediately incited anger in the BLACKPINK fan community, leading to demands for a public apology from the ‘for BABYMONSTER’ fanbase.

Following the outcry, ‘for BABYMONSTER’ issued an apology, claiming ignorance about the offensive tweet and attributing it to suspicious account activity, alleging a hacking incident. In their statement, the fan page expressed regret for the offensive comment and detailed the purported unauthorized access to their account, citing a password change and suspicious logins from an iPhone.

BABYMONSTER fanpage insults Jennie Met Gala look on X.

Despite their explanation, BLACKPINK fans remain dissatisfied with the apology, viewing the “hacked account” explanation as outdated and inadequate. The issue continues to be a heated topic of discussion on X (formerly Twitter), with ‘for BABYMONSTER’ ultimately locking or deleting their account in response to the strong reactions from BLACKPINK fans.

The incident highlights the significant impact of social media interactions on celebrity fandoms and underscores the need for responsible online behavior among fan communities. As the controversy lingers, discussions persist regarding the accountability and authenticity of online statements made by fan pages and supporters in the K-pop community.

Written by Sofia Reed Kpop Metrics Specialist Kpop, News, Coverage, Trends, Fandom, Updates Sofia Reed has 5+ years of experience in digital analytics and holds a degree in Data Science with certification in audience measurement and platform metrics.

Sofia Reed evaluates K-pop performance using structured data analysis and cross platform comparison. She focuses on identifying growth patterns, engagement shifts, and performance consistency across release cycles. Her work connects numerical indicators with distribution strategy to explain outcomes. She emphasizes repeatable insights supported by verified data sources.

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