“On Twitter, the drop was dramatic: a 60 percent quarterly decline in shares of content from deceptive sites by “verified accounts.” On Facebook, interactions with content from deceptive sites dipped by 15 percent in the first quarter of 2021, reflecting a comparable decline in interactions with all U.S.-based sites on the platform.”
This paper explains the capabilities and limitations of tools for analyzing online multimedia content and highlights the potential risks of using these tools at scale without accounting for their limitations. It focuses on two main categories of tools: matching models and computer prediction models.”
More than eight in ten people in Canada use online private messaging platforms, such as Messenger, WhatsApp and Snapchat; and over half are receiving messages about the news or current events at least weekly. This growing vector for news is coming under increased scrutiny, as evidence from jurisdictions around the world reveal private messaging apps’ role in spreading disinformation and a broad range of already-illegal materials, including hate speech, inciting violence, cybercrime, sexual abuse and child sexual exploitation materials.