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VOICE ARCHIVE

Yunkang Yang, PhD

@yangyunkang
8 posts
2023-03-06
We conducted the first large-scale visual misinformation on Facebook, also the first large-scale visual misinformation re: US politics on any social media. Combining expert coding with computer vision, we found that more than 20% of public image posts contained misinformation.
2023-03-06 View on X
Tech Policy Press

A study of 13M+ Facebook posts in the run-up to the 2020 US elections found that 23% of the sampled posts with political images contained misinformation

the most common post type, accounting for 40% of posts by US politics pages and groups. Matthew Hindman / @matthindman : Other studies have suggested that misinformation posts gene...

View original
Our project is part of a growing body of literature looking at visuals in Political Communication, a still critically understudied area in our field. Go check out the exciting work by @YingdanL_kk, @Kaiping_Chen and @SangJungKim2.
2023-03-06 View on X
Tech Policy Press

A study of 13M+ Facebook posts in the run-up to the 2020 US elections found that 23% of the sampled posts with political images contained misinformation

the most common post type, accounting for 40% of posts by US politics pages and groups. Matthew Hindman / @matthindman : Other studies have suggested that misinformation posts gene...

View original
For the better part of a decade, social media & misinfo research has focused on counting links users shared to non-credible domains. This method led some to argue that the problem of misinformation is negligible or has declined.
2023-03-06 View on X
Tech Policy Press

A study of 13M+ Facebook posts in the run-up to the 2020 US elections found that 23% of the sampled posts with political images contained misinformation

the most common post type, accounting for 40% of posts by US politics pages and groups. Matthew Hindman / @matthindman : Other studies have suggested that misinformation posts gene...

View original
Just a few days ago, Political Communication Forum published an article on the importance of studying visual political misinfo. https://twitter.com/.... Our study answers this call and provides the empirical evidence.
2023-03-06 View on X
Tech Policy Press

A study of 13M+ Facebook posts in the run-up to the 2020 US elections found that 23% of the sampled posts with political images contained misinformation

the most common post type, accounting for 40% of posts by US politics pages and groups. Matthew Hindman / @matthindman : Other studies have suggested that misinformation posts gene...

View original
This method 1) ignores content shared by pages/ public groups which are much more visible than individual users 2) treats every link to non-credible domains as misinfo. - but propaganda outlets rarely publish only falsehoods and 3) misses the biggest content category - images.
2023-03-06 View on X
Tech Policy Press

A study of 13M+ Facebook posts in the run-up to the 2020 US elections found that 23% of the sampled posts with political images contained misinformation

the most common post type, accounting for 40% of posts by US politics pages and groups. Matthew Hindman / @matthindman : Other studies have suggested that misinformation posts gene...

View original
New JoC publication on visual misinformation on Facebook w/ @MattHindman and Trevor Davis (@counteraction)! The problem of misinformation is WORSE than you think. https://twitter.com/...
2023-03-06 View on X
Tech Policy Press

A study of 13M+ Facebook posts in the run-up to the 2020 US elections found that 23% of the sampled posts with political images contained misinformation

the most common post type, accounting for 40% of posts by US politics pages and groups. Matthew Hindman / @matthindman : Other studies have suggested that misinformation posts gene...

View original
We believe that the methods used in our article allow for investigations of identity based attacks to be conducted at unprecedented breadth and resolution.
2023-03-06 View on X
Tech Policy Press

A study of 13M+ Facebook posts in the run-up to the 2020 US elections found that 23% of the sampled posts with political images contained misinformation

the most common post type, accounting for 40% of posts by US politics pages and groups. Matthew Hindman / @matthindman : Other studies have suggested that misinformation posts gene...

View original
Besides misinformation, we also found troubling visual content that targeted minority groups. Many of these identity-based attacks reflect deep social inequalities.
2023-03-06 View on X
Tech Policy Press

A study of 13M+ Facebook posts in the run-up to the 2020 US elections found that 23% of the sampled posts with political images contained misinformation

the most common post type, accounting for 40% of posts by US politics pages and groups. Matthew Hindman / @matthindman : Other studies have suggested that misinformation posts gene...

View original