Crash Blossoms / IF & ONLY IF : A Lo-Fidelity AI Newspaper

Crash Blossoms / IF & ONLY IF is a playful new online work made in collaboration using a kind of artificial intelligence called recursive neural nets (RNN) to synthesise past-present-future headlines by combining the news archive at the British Library with user contributions. It was first shown as part of Leeds Digital Festival on 24 September 2020, and is available at torquetorque.net/crashblossoms. The project’s title Crash Blossoms is taken from the name for instances where ‘headlinese’ produces a weird semantic ambiguity, like ‘McDonald's fries the holy grail for potato farmers’. In this essay, we discuss how the relatively transparent, small data approach used in Crash Blossoms can offer a different trajectory, away from singularity and towards multiplicities of human and machine intelligences.

Publication Details

Journal
Lancaster EPrints (Lancaster University)
Published
2025-12-31
Primary Topic
Digital Humanities and Scholarship
Type
article
Field-Weighted Citation Impact
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article

Crash Blossoms / IF & ONLY IF : A Lo-Fidelity AI Newspaper

Lancaster EPrints (Lancaster University)
Digital Humanities and Scholarship
article

Crash Blossoms / IF & ONLY IF : A Lo-Fidelity AI Newspaper

article en

Abstract

Crash Blossoms / IF & ONLY IF is a playful new online work made in collaboration using a kind of artificial intelligence called recursive neural nets (RNN) to synthesise past-present-future headlines by combining the news archive at the British Library with user contributions. It was first shown as part of Leeds Digital Festival on 24 September 2020, and is available at torquetorque.net/crashblossoms. The project’s title Crash Blossoms is taken from the name for instances where ‘headlinese’ produces a weird semantic ambiguity, like ‘McDonald's fries the holy grail for potato farmers’. In this essay, we discuss how the relatively transparent, small data approach used in Crash Blossoms can offer a different trajectory, away from singularity and towards multiplicities of human and machine intelligences.

Lancaster EPrints (Lancaster University)
Openalex Percentile: Top 44%
Digital Humanities and Scholarship
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Crash Blossoms / IF & ONLY IF : A Lo-Fidelity AI Newspaper · Lancaster EPrints (Lancaster University) (2025) | TGRS Research Map | TGRS