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VOICE ARCHIVE

Matthew Hindman

@matthindman
9 posts
2023-03-06
🚨 Our study “Visual Misinformation on Facebook” w/ @yangyunkang, Trevor Davis (@uscounteraction) is out @Journal_of_Comm. We find *huge* amounts of misinformation spread through images that has been missed by previous studies. https://academic.oup.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
Overall, 23% of political image posts in our data were misleading. So were 20% of images containing political figures. Consistent with previous work, misinformation was very lopsided by partisanship. Right-leaning posts were 5-8 times as likely to be misleading. 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
This data should make us reconsider previous studies that have found low or declining levels of misinfo on Facebook. These studies have excluded image posts — the most common post type, accounting for 40% of posts by US politics pages and groups.
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
Other studies have suggested that misinformation posts generate higher engagement and thus a bigger algorithmic boost. We did not find that. After controlling for page followership or group size, true and misleading posts generated similar levels of engagement.
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
Going forward, studies on the prevalence of misinformation on social media should be wary of the streetlight effect. And they should stop making sweeping claims about the (lack of) misinfo on FB or other platforms while ignoring 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
Plotting the data found little relationship between misinformation and post engagement. 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 went big, collecting more than 13 million posts, from more than 25,000 of the most popular politics pages and public groups, in August through October 2020. Because FB activity is so concentrated, these pages and groups produce >95% of engagement about US politics.
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
They've measured misinformation very imperfectly — just counting links to “non-credible” outlets, and using data that conflates hyperpopular pages & big public groups with posts by individuals.
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 used facial recognition technology to identify political figures, and perceptual hashing (p-hash) to identify duplicate images. Expert coding of posts (both images and text) was used to classify 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