Category Archives: Narrative Strategies

All the f***ing lines from “The Wolf of Wall Street”

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Third iteration of the movie mashup project. Now searching for specific words in a movie — also based on the subtitle.
I am not counting the words in Processing, so I copied and pasted the subtitles from “The Wolf of Wall Street” into Textalyser. The first words by far in the ranking are “you” and “what” — not very meaningful, though.

So I used “fucking,” third one with 211 occurrences. Taking a look at the full list, “fuck” and “fucking” also appear a lot of times. Because they are sort of variations of the same thing, I searched for any time that any of them is said — 431 times total. That happens in 351 subtitles — sometimes more than once in a single line, then.

Code on Github.


Movie Lines Sorted Alphabetically

This is the first attempt towards my proposal for a generative movie mashup.  The code is based on the same Processing sketch I used before to make a mashup book.
The subtitles’ time code (start and end) are used to play the movie jumping from one position to another.
The lines are sorted alphabetically and the video editing is automated based on that.

Code on Github.

Final Project – Proposal

gabriel_presentation_00This project is the third in a sequence of experiments with generative narrative that I have been doing for my Major Studio class.

The first one is called Telephone.

gabriel_presentation_02It is an html page in which you search for a term. The server connects to the Google Images API, gives you back an image, automatically search for the title of that image, gives you back the new image, search for its title and so on.

gabriel_presentation_03It might sound complex, but it’s a very simple way of mimicking the miscommunication created by the children’s game telephone — using computers instead of people.

gabriel_presentation_04The results generate unexpected connections. Sometimes they are completely nonsense.

gabriel_presentation_05Sometimes they seem to make sense.

gabriel_presentation_06When I first presented it, I didn’t explain the technicalities involved. Then I asked people how comfortable they felt about not really understanding what was going on behind the scenes.

gabriel_presentation_07The response I got was that the connections were very clear, so no further explanations were needed.

gabriel_presentation_08That seemed to connect with these 2 principles that I was learning in the Narrative Strategies class. The second principle might be interpreted as a consequence of the first.

gabriel_presentation_09In a broader sense, the idea of a message being formed by the person who receives it can also relate to the psychological phenomena known as apophenia, the human tendency to see patterns. The principle has its variants, such as pareidolia, a type of apophenia associated with images or sounds. This is a very common phenomena in our lives. We experience it by seeing faces in geometric forms like the one above.

gabriel_presentation_11We also experience it when we see Jesus’ faces on toasts.

gabriel_presentation_12An interesting manifestation of apophenia in literature is the short story “The Library of Babel,” by Jorge Luiz Borges. In the story, people inhabit a library full of books made out of 25 characters sorted in every possible order. Most books are unreadable and completely nonsense. Even so, people believe that there might be books containing useful information and even predictions of the future, because all possible permutations are contained in the books.

gabriel_presentation_13These ideas led me to a second experiment called Her Weird Science.

gabriel_presentation_14It is a mashup of Her and Weird Science — a teenage movie from the 80’s directed by John Hughes.

gabriel_presentation_15I chose the two inspired by the ideas of archetypal stories, that is, basic plots that repeat over different narrative pieces. Both Her and Weird Science tell the story of men playing God, recreating human intelligence. The same plot is also found in Frankenstein, Pinocchio, and in more recent pieces of science fiction.

gabriel_presentation_16This is very explicit in one of the initial scenes from Weird Science, in which the characters are watching Frankenstein.

gabriel_presentation_17That explains the content. The narrative strategy, though, is based on letting users construct their own stories in their minds. Technically, I mashed up the subtitles from the 2 different movies and sorted them based on the time index of each subtitle.

gabriel_presentation_18Then I printed a book with the result.

gabriel_presentation_19There is no visual differentiation telling users about which sentence belong to which movie. Like in the  Telephone project, sometimes the result is pure nonsense and sometimes it seem to construct a cohesive narrative.

gabriel_presentation_20There are fortunate cases in characters from both movies talk about the same subject.

gabriel_presentation_21At last, my project for Narrative Strategies is a sequence of these two previous experiments. It will once again be a mashup of 2 movies.

gabriel_presentation_23Instead of translating that to a book form, though, I’ll keep them as videos.

gabriel_presentation_24Besides having similar stories, I’ll try to find movies with the same character names. By doing so, I’ll try to use the character names on the the subtitles to jump from one scene to another, instead of having the time-based sorting as before. This is a way of reducing the randomness in the connections.

gabriel_presentation_25I intend to do that with code once more. That is not a narrative strategy, but it’s not an idiosyncratic choice either. As said in the beginning of this presentation, I’m interested in generative art. The purpose is to create an apparently cohesive narrative by playing with algorithms.