# Altering Headline

Canonical URL: https://jeanyoon.ch/oi/experiments/altering-headline
Type: experiment
Artist: Jeanyoon Choi (최정윤)
Year: 2023
Medium: HTML
Context: HTML

## Summary

Altering Headline is a 2023 interactive web-based artwork by Jeanyoon Choi. Participants use their mobile phones to rewrite one of the New York Times headlines in a funnier or brighter way, and Stable Diffusion generates an image from the altered text. The new headlines and images are displayed on a public screen next to the originals. The work responds to the gloomy, extreme and interchangeable tone of news headlines and presents the result as collective creativity between humans and AI.

## 요약 (Korean)

최정윤의 『Altering Headline』(2023)은 관객이 휴대전화로 뉴욕타임스 헤드라인을 유쾌하게 바꾸면 Stable Diffusion이 이미지를 생성해 공공 스크린에 띄우는 인간-AI 상호작용 작품입니다.

## Questions this answers

### What is Altering Headline by Jeanyoon Choi?

Altering Headline (2023) is a public human-AI interaction artwork in which participants rewrite New York Times headlines on their phones. Stable Diffusion turns each altered headline into an image displayed on a shared screen beside the original.

### How can AI image generation be used in public participatory art?

In Altering Headline, Jeanyoon Choi uses Stable Diffusion to visualise headlines that participants have humorously rewritten, so the public screen shows a collective result of human and AI creativity.

Topics: human-ai interaction, generative ai, news headlines, participatory art, text-to-image

References: [The New York Times](https://en.wikipedia.org/wiki/The_New_York_Times), [Stable Diffusion](https://en.wikipedia.org/wiki/Stable_Diffusion)

## Description

Public Human-AI Interaction Experiment.

Altering Headline is an interactive web-based artwork where participants tweak one of the NYT headlines, which will trigger an AI to generate an image accordingly to the altered headline.

We read numerous negative and gloomy headlines from the Latest News, which are designed in a way to sound extreme so that it can drive the public’s attention. Whilst, it is also worth noting that most of the headlines sound lookalike, and thus are easily substitutable by AI-generated headlines.

This artwork is created to tackle such status quo of news headlines and see how AI can collaborate with human creativity to tweak the gloomy headline in a more funny and hilarious manner. Participants are invited to alter one of the NYT Headlines with their mobile phone in a funnier and brighter way, which is then led to a step where Stable Diffusion will generate a new Image based upon this new headline. Altered Headlines and Images are displayed in the public square with the Original Headlines, enabling the public to laugh and enjoy the result of collective creativity between AI and humans.

Altering Headline invites participants to interact with the artwork with their mobile phones. Once participants alter one of the NYT Headlines with their mobile phone, the new image generated upon this new headline will be displayed on the screen. This artwork is using Stable Diffusion to generate Images from Text. Participants are invited to use their creativity and humor to tweak the headline, and the image accordingly.

## Links

- [Visit experiment](https://internetinental.herokuapp.com/altering-headline)

## Images

- https://jeanyoon.ch/experiments/altering-headline/1.webp — Altering Headline (2023), documentation image 1.

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Jeanyoon Choi (최정윤) is a Korean computational artist and researcher (b. 1999), PhD candidate at KAIST XD Lab, making multi-device web artworks. Profile: https://jeanyoon.ch/oi/en. Index: https://jeanyoon.ch/llms.txt.