abstract

The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible

Authors:

Nanna Inie,

Jeanette Falk Olesen,

Leon DerczynskiAuthors Info & Claims

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

Pages 1 - 4

https://doi.org/10.1145/3334480.3383159

Published: 25 April 2020 Publication History

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Abstract

Misinformation spread presents a technological and social threat to society. With the advance of AI-based language models, automatically generated texts have become difficult to identify and easy to create at scale. We present "The Rumour Mill", a playful art piece, designed as a commentary on the spread of rumours and automatically-generated misinformation. The mill is a tabletop interactive machine, which invites a user to experience the process of creating believable text by interacting with different tangible controls on the mill. The user manipulates visible parameters to adjust the genre and type of an automatically generated text rumour. The Rumour Mill is a physical demonstration of the state of current technology and its ability to generate and manipulate natural language text, and of the act of starting and spreading rumours.

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Cited By

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Sharevski FLoop JJachim PDevine APieroni E(2023)Talking Abortion (Mis)information with ChatGPT on TikTok2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)10.1109/EuroSPW59978.2023.00071(594-608)Online publication date: Jul-2023
https://doi.org/10.1109/EuroSPW59978.2023.00071
Gamage DChen JGhasiya PSasahara K(2022)Deepfakes and Society: What Lies Ahead?Frontiers in Fake Media Generation and Detection10.1007/978-981-19-1524-6_1(3-43)Online publication date: 29-May-2022
https://doi.org/10.1007/978-981-19-1524-6_1
Huynh LNguyen TGoh JKim HHong JDemartini GZuccon GCulpepper JHuang ZTong H(2021)ARGH!Proceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3481894(3847-3856)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3459637.3481894

Index Terms

The Rumour Mill: Making the Spread of Misinformation Explicit and Tangible
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Natural language generation
2. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

4474 pages

ISBN:9781450368193

DOI:10.1145/3334480

General Chairs:
Regina Bernhaupt
Eindhoven University of Technology, Netherlands
,
Florian 'Floyd' Mueller
Monash University, Australia
,
David Verweij
Newcastle University, UK
,
Josh Andres
RMIT, Australia
,
Program Chairs:
Joanna McGrenere
University of British Columbia, Canada
,
Andy Cockburn
University of Canterbury, New Zealand
,
Ignacio Avellino
University of Maryland Baltimore County, USA
,
Alix Goguey
Grenoble Alpes University, France
,
Pernille Bjørn
University of Copenhagen, Denmark
,
Shengdong (Shen) Zhao
National University of Singapore, Singapore
,
Briane Paul Samson
Future University Hakodate, Japan & De La Salle University, Philippines
,
Rafal Kocielnik
University of Washington, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Published: 25 April 2020

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CHI '20: CHI Conference on Human Factors in Computing Systems

April 25 - 30, 2020

HI, Honolulu, USA

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Sharevski FLoop JJachim PDevine APieroni E(2023)Talking Abortion (Mis)information with ChatGPT on TikTok2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)10.1109/EuroSPW59978.2023.00071(594-608)Online publication date: Jul-2023
https://doi.org/10.1109/EuroSPW59978.2023.00071
Gamage DChen JGhasiya PSasahara K(2022)Deepfakes and Society: What Lies Ahead?Frontiers in Fake Media Generation and Detection10.1007/978-981-19-1524-6_1(3-43)Online publication date: 29-May-2022
https://doi.org/10.1007/978-981-19-1524-6_1
Huynh LNguyen TGoh JKim HHong JDemartini GZuccon GCulpepper JHuang ZTong H(2021)ARGH!Proceedings of the 30th ACM International Conference on Information & Knowledge Management10.1145/3459637.3481894(3847-3856)Online publication date: 26-Oct-2021
https://dl.acm.org/doi/10.1145/3459637.3481894

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Abstract

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Recommendations

Co-spread of Misinformation and Fact-Checking Content During the Covid-19 Pandemic

The Dynamics of (Not) Unfollowing Misinformation Spreaders

Are Mutated Misinformation More Contagious? A Case Study of COVID-19 Misinformation on Twitter

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