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‘Monster: The Lizzie Borden Story’ Trailer Reveals First Look at Sarah Paulson as Aileen Wuornos
The eight-episode season reimagines the unsolved 1892 murders with fantasy elements and links Lizzie Borden’s story to other female killers, Netflix said.
- Netflix released the official trailer for "Monster: The Lizzie Borden Story" on Thursday, the fourth season of creator Ryan Murphy's true crime anthology premiering September 17.
- Creator Ryan Murphy said the season explores "female rage" by connecting Lizzie Borden to serial killer Aileen Wuornos and Countess Elizabeth Báthory, questioning why these women committed their alleged crimes.
- Ella Beatty stars as Lizzie, with Charlie Hunnam as Andrew Borden and Rebecca Hall as Abby Borden in the eight-episode season directed by Max Winkler and Sarah Adina Smith, featuring Sarah Paulson as Wuornos.
- The trailer depicts historical inaccuracies, including a fictionalized romance between Lizzie and maid Bridget Sullivan and scenes showing Lizzie stabbing Abby with a knife, though Borden was acquitted of the 1892 murders.
- Unlike previous "Monster" seasons, Borden was acquitted of the 1892 crimes, marking the anthology's first subject exonerated of depicted offenses. Evidence suggests the real Lizzie may not have been a "Monster" at all.
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Sarah Paulson transforms into Aileen Wuornos in Monster: The Lizzie Borden Story trailer
Sarah Paulson is reuniting with Ryan Murphy for Monster: The Lizzie Borden Story, set to play infamous serial killer Aileen Wuornos. The upcoming fourth instalment of Murphy’s Monster series centres on the story of the eponymous Lizzie Borden (Ella Beatty). Borden was tried and acquitted of the 1892 axe murders of her father and stepmother […] The post Sarah Paulson transforms into Aileen Wuornos in Monster: The Lizzie Borden Story trailer appea…
·Borehamwood, United Kingdom
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The official trailer of 'Monster: The Story of Lizzie Borden' promises blood, mystery and revenge
·Madrid, Spain
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Coverage Details
Total News Sources12
Leaning Left3Leaning Right3Center2Last UpdatedBias Distribution38% Left, 37% Right
Bias Distribution
- 38% of the sources lean Left, 37% of the sources lean Right
38% Left
L 38%
C 25%
R 37%
Factuality
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