Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F22%3APU146535" target="_blank" >RIV/00216305:26230/22:PU146535 - isvavai.cz</a>

Result on the web

<a href="https://www.ijcai.org/proceedings/2022/749" target="_blank" >https://www.ijcai.org/proceedings/2022/749</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.24963/ijcai.2022/749" target="_blank" >10.24963/ijcai.2022/749</a>

Result language

angličtina

Original language name

Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics

Original language description

We investigated the creation and bursting dynamics of misinformation filter bubbles on YouTube using a black-box sockpuppeting audit technique. In this study, pre-programmed agents acting as YouTube users stimulated YouTube's recommender systems: they first watched a series of misinformation promoting videos (bubble creation) and then a series of misinformation debunking videos (bubble bursting). Meanwhile, agents recorded videos recommended to them by YouTube. After manually annotating these recommendations, we were able to quantify the portion of misinformative videos among them. The results confirm the creation of filter bubbles (albeit not in all situations) and show that these bubbles can be bursted by watching credible content. Drawing a direct comparison with a previous study, we do not see improvements in overall quantities of misinformation recommended.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence Sister Conferences Best Papers

ISBN

9781956792003

ISSN

1045-0823

e-ISSN

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Number of pages

5

Pages from-to

5349-5353

Publisher name

International Joint Conferences on Artificial Intelligence

Place of publication

Vienna

Event location

Vienna

Event date

Jul 23, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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