Russia Weaponization of Canada's Far Right and Far Left to Undermine Support for Ukraine.

This article details the Russian government's efforts to influence Canadians' perceptions of the war in Ukraine. Specifically, we examined Russian information campaigns tailored to Canadian audiences on X (formerly known as Twitter) and the supportive ecosystems of accounts that amplify those campaigns. By 2023, this ecosystem included at least 200,000 X accounts that have shared content with millions of Canadians.

Emotional content and sharing on Facebook: A theory cage match.

While emotional content predicts social media post sharing, competing theories of emotion imply different predictions about how emotional content will influence the virality of social media posts. We tested and compared these theoretical frameworks. Teams of annotators assessed more than 4000 multimedia posts from Polish and Lithuanian Facebook for more than 20 emotions.

Social media emotions annotation guide (SMEmo): Development and initial validity.

The proper measurement of emotion is vital to understanding the relationship between emotional expression in social media and other factors, such as online information sharing. This work develops a standardized annotation scheme for quantifying emotions in social media using recent emotion theory and research. Human annotators assessed both social media posts and their own reactions to the posts' content on scales of 0 to 100 for each of 20 (Study 1) and 23 (Study 2) emotions.

Content-based features predict social media influence operations.

We study how easy it is to distinguish influence operations from organic social media activity by assessing the performance of a platform-agnostic machine learning approach. Our method uses public activity to detect content that is part of coordinated influence operations based on human-interpretable features derived solely from content. We test this method on publicly available Twitter data on Chinese, Russian, and Venezuelan troll activity targeting the United States, as well as the Reddit dataset of Russian influence efforts.