This article provides one of the first analyses of visuals in misinformation concerning COVID-
19. A mixed-methods analysis of ninety-six examples of visuals in misinformation rated false …

Background This study focuses on health-related content (HRC) on YouTube and addresses
the issue of misinformation on this platform. While previous research centered on content …

Objective This piece of work proposes a way for the wise management of pseudoscience
and conspiracy theories. Methods This work encompassed a review of relevant literature …

We present a simple NLP methodology for detecting COVID-19 misinformation videos on
YouTube by leveraging user comments. We use transfer learning pre-trained models to …

Introducción: La pandemia del coronavirus ha producido un fuerte impacto en las redes
sociales, tanto en su nivel de utilización como en su modo de empleo. Organizaciones …

Background Social media platforms such as YouTube are used by many people to seek and
share health-related information that may influence their decision-making about COVID-19 …

The COVID-19 pandemic has been the largest global crisis in recent decades. Apart from
the countless deaths and health emergencies, the pandemic has disrupted several …

Social media use has become an integral part of the lives of billions across the globe. As a
modern media powerhouse, YouTube is the world's most popular video-sharing site (Alexa …

For this memo, we identified all Covid-related videos which circulated on social media, but
which YouTube eventually removed because they contained false information. Between …

Algorithmic personalization is difficult to approach because it entails studying many different
user experiences, with a lot of variables outside of our control. Two common biases are …