'Hate-watch classic' War of the Worlds sweeps Razzie Awards

BBC News - WorldCenterEN 2 min read 100% complete March 14, 2026 at 05:34 AM

AI Summary

medium article 2 min

The 2025 Razzie Awards, which recognize the year's worst films, heavily targeted the Prime Video film *War of the Worlds*, awarding it five "wins," including worst picture, actor (Ice Cube), director (Rich Lee), screenplay, and remake. The Razzies cited the film's poor adaptation of H.G. Wells' novel. Other recipients included Rebel Wilson for worst actress in *Bride Hard*, Scarlet Rose Stallone for worst supporting actress in *Gunslingers*, and the seven CGI dwarfs from Disney's *Snow White* for worst supporting actor and screen combo. Kate Hudson received the Razzie Redeemer Award after previously being nominated for three Razzies and now receiving an Oscar nomination for *Song Sung Blue*.

Key Entities & Roles

Key Player Opposition Context

Bride Hard 40% Gunslingers 40% Disney 40% Snow White ×250% Scarlet Rose Stallone ×250% Kate Hudson ×360% Prime Video 60% Rich Lee ×260% Rebel Wilson ×260% Razzie Awards ×385% Ice Cube ×490% War of the Worlds ×695%

Keywords

razzie awards 100% war of the worlds 90% worst films 80% ice cube 70% film remake 60% rebel wilson 50% hollywood 50% worst actor 40% worst actress 40% kate hudson 40%

Sentiment Analysis

Negative

Score: -0.40

Source Transparency

Source

BBC News - World

Political Lean

Center (0.00)

Far LeftCenterFar Right

Classification Confidence

90%

This article was automatically classified using rule-based analysis. The political bias score ranges from -1 (far left) to +1 (far right).

Topic Connections

Explore how the topics in this article connect to other news stories

No topic relationship data available yet. This graph will appear once topic relationships have been computed.

razzie awards war of the worlds worst films ice cube film remake rebel wilson hollywood worst actor worst actress kate hudson

Explore Full Topic Graph

Find Similar Articles

AI-Powered

Discover articles with similar content using semantic similarity analysis.