Epagogix

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Epagogix is a UK-based company founded in 2003 that uses neural networks and analytical software to predict which movies will provide a good possibility of return on investments and which movie scripts or plots will be successful. It was featured in an article by Malcolm Gladwell in The New Yorker . [1] It has also been featured in Super Crunchers , Ian Ayres' book about number analysis, in CIO magazine [2] [3] and in Kevin Slavin's TED talk. [4]

Malcolm Gladwell Canadian journalist and science writer

Malcolm Timothy Gladwell is a Canadian journalist, author, and public speaker. He has been a staff writer for The New Yorker since 1996. He has written five books, The Tipping Point: How Little Things Can Make a Big Difference (2000), Blink: The Power of Thinking Without Thinking (2005), Outliers: The Story of Success (2008), What the Dog Saw: And Other Adventures (2009), a collection of his journalism, and David and Goliath: Underdogs, Misfits, and the Art of Battling Giants (2013). All five books were on The New York Times Best Seller list. He is also the host of the podcast Revisionist History and co-founder of the podcast company Pushkin Industries.

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<i>Super Crunchers</i> book by Ian Ayres

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The Epagogix system uses a "computer enhanced algorithm" which uses data from an archive of films which analysts have broken down into hundreds of categories [5] or plot points, such as "love scene" or "car chase". A film's script is assigned scores for these categories by an Epagogix employee, and the scores fed into a computer algorithm which estimates how much that film might take at the box office, plus or minus around ten per cent. The software may also recommend script changes. [6]

For the role-playing games concept see Plot point

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As part of a reported testing process, the Epagogix software predicted that the $50 million 2007 film Lucky You would "bomb" and take only $7 million. Upon release, the film took $6 million. [3] The company also interpreted the software's analysis of Casablanca as considering it "gloomy, downbeat and too long". [5]

<i>Lucky You</i> (film) 2007 film by Curtis Hanson

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<i>Blink: The Power of Thinking Without Thinking</i> 2005 book by Malcolm Gladwell

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Vault is an Israeli–based artificial intelligence company that lays claims to have created technologies that can "read" movie and TV screenplays in order to predict box office and investment performance. Part of the process reportedly entails analyzing 300,000 to 400,000 elements from the script, which could be anything from plot, character development, script structure, scene events. The founders are made up of high frequency trading veterans and state they use similar approaches to predicting film performance. Vault published its 2015 film predictions for over 20 movies in early 2015 and successfully predicted correctly many box office performances throughout that year. Vault's algorithms out earned the market on a return on investment basis.

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Algorithmic bias describes systematic and repeatable errors in a computer system that create unfair outcomes, such as privileging one arbitrary group of users over others. Bias can emerge due to many factors, including but not limited to the design of the algorithm itself, unintended or unanticipated use or decisions relating to the way data is coded, collected, selected or used to train the algorithm. Algorithmic bias is found across platforms, including but not limited to search engine results and social media platforms, and can have impacts ranging from inadvertent privacy violations to reinforcing social biases of race, gender, sexuality, and ethnicity. The study of algorithmic bias is most concerned with algorithms that reflect "systematic and unfair" discrimination. This bias has only recently been addressed in legal frameworks, such as the 2018 European Union's General Data Protection Regulation.

References

  1. Gladwell, Malcolm (16 October 2006). "The Formula". The New Yorker. Retrieved 18 July 2010.
  2. Ayres, Ian. Super Crunchers. Bantam, 2007. 145-147.
  3. 1 2 Wailgum, Thomas (16 January 2009). "Prediction Software: The New Science Behind the Art of Making Hit Movies". CIO. Retrieved 11 August 2015.
  4. Slavin, Kevin (July 2011). "Kevin Slavin: How algorithms shape our world". TEDGlobal. Retrieved 29 July 2011.
  5. 1 2 Rowley, Tom (2 January 2014). "The geeks who are directing Hollywood" . Retrieved 23 June 2018.
  6. "What's behind the future of hit movies? An algorithm". 19 July 2013. Retrieved 23 June 2018.

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