20 February 2015 – Last weekend saw the 87th Annual Academy Awards take place at Hollywood’s Dolby Theatre and the results are in! An exciting night for Hollywood, and an even more exciting night for Bing Predicts after it correctly identified the award winners for all but three of those predicted. From Birdman’s Best Picture to the Sound Mixing of Whiplash, Bing successfully tipped 84% of the Oscars victors, as below:
Best Picture – Birdman (Correct)
Best Actor – Eddie Redmayne (Correct)
Best Actress – Julianne Moore (Correct)
Supporting Actor – J. K. Simmons (Correct)
Supporting Actress – Patricia Arquette (Correct)
Best Directing – Alejandro G. Iñárritu (Correct)
Documentary Feature – CitizenFour (Correct)
Cinematography – Emmanuel Lubezki (Correct)
Original Screenplay – Birdman (Correct)
Foreign Language Film – Ida (Correct)
Original Song – Glory (Correct)
Visual Effects – Interstellar (Correct)
Costume Design – The Grand Budapest Hotel (Correct)
Production Design – The Grand Budapest Hotel (Correct)
Sound Editing – American Sniper (Correct)
Sound Mixing – Whiplash (Correct)
Animated Feature Film – Big Hero 6 (Predicted How to Train Your Dragon 2)
Film Editing – Whiplash (Predicted Boyhood)
Original Score – The Grand Budapest Hotel (Predicted The Theory of Everything)
(Did not predict: Makeup and Hairstyling, Live Action short film, Best Documentary Short Subject, Animated Short Film, Adapted Screenplay)
With hundreds of millions of movie lovers tuning into the Oscars year, Bing has also put together an interactive guide that brings you all the information you need to your fingertips.
You can use the online experience to explore the actors, films, directors, songs and cinematographers nominated for awards each year. You can listen to the songs, watch the movie trailers and learn more about each of the actors and actresses starring in the films.
Bing also recently predicted results for the Grammys – including many of Sam Smith’s wins. Bing uses a variety of information, including search queries and social data, to predict who is likely to take home an award.