Systematic review: YouTube recommendations and problematic content

M Yesilada, S Lewandowsky - Internet policy review, 2022 - pmc.ncbi.nlm.nih.gov
There has been much concern that social media, in particular YouTube, may facilitate
radicalisation and polarisation of online audiences. This systematic review aimed to …

From Facebook to YouTube: The potential exposure to COVID-19 anti-vaccine videos on social media

A Gruzd, D Abul-Fottouh, MYJ Song… - Social media+ …, 2023 - journals.sagepub.com
This article examines the role of Facebook and YouTube in potentially exposing people to
COVID-19 vaccine–related misinformation. Specifically, to study the potential level of …

“It's not wrong, but I'm quite disappointed”: Toward an Inclusive Algorithmic Experience for Content Creators with Disabilities

D Choi, U Lee, H Hong - Proceedings of the 2022 CHI Conference on …, 2022 - dl.acm.org
YouTube is a space where people with disabilities can reach a wider online audience to
present what it is like to have disabilities. Thus, it is imperative to understand how content …

Deradicalizing YouTube: characterization, detection, and personalization of religiously intolerant Arabic videos

N Albadi, M Kurdi, S Mishra - Proceedings of the ACM on Human …, 2022 - dl.acm.org
Growing evidence suggests that YouTube's recommendation algorithm plays a role in online
radicalization via surfacing extreme content. Radical Islamist groups, in particular, have …

A systematic review: The YouTube recommender system and pathways to problematic content

M Yesilada, S Lewandowsky - 2021 - europepmc.org
The systematic review aimed to determine whether the YouTube recommender system
facilitates pathways to problematic content such as extremist or radicalising material. The …

Analyzing radical visuals at scale: How far-right groups mobilize on TikTok

J Hohner, A Kakavand, S Rothut - Journal of Digital Social Research, 2024 - jdsr.se
Research examining radical visual communication and its manifestation on the trending
platform TikTok is limited. This paper presents a novel methodological framework for …

The risks of machine learning systems

S Tan, A Taeihagh, K Baxter - arxiv preprint arxiv:2204.09852, 2022 - arxiv.org
The speed and scale at which machine learning (ML) systems are deployed are
accelerating even as an increasing number of studies highlight their potential for negative …

To be defined or not to be? Addressing internal questions in the online community for gender diverse youth

C Ok, HJ Kang - Proceedings of the 20th Annual ACM Interaction …, 2021 - dl.acm.org
The online community plays a pivotal role in the transgender community. To better
understand how gender-diverse youth equip online communities during their critical stage of …

YouTube as a source of information about unproven drugs for COVID-19: the role of the mainstream media and recommendation algorithms in promoting …

FB Soares, I Salgueiro, C Bonoto… - Brazilian journalism …, 2022 - SciELO Brasil
In this study, we address how YouTube videos promote misinformation about
hydroxychloroquine in Brazil. We follow two research questions. RQ1: How is pro …

Does algorithmic filtering lead to filter bubbles in online tourist information searches?

Y Gong, A Schroeder, B Pan, SS Sundar… - Information Technology & …, 2024 - Springer
When tourists search information online, personalization algorithms tend to contextually filter
the vast amount of information and provide them with a subset of information to increase …