Launching the Faked Up academic library
I'm keeping a running list of worthwhile academic studies on digital deception so you don't have to.
Hi! I am collecting all the studies cited in Faked Up or that have otherwise caught my eye in one convenient location.
This isn’t going to be an exhaustive collection of all studies about digital deception and combating misinformation. Instead, it aims to be a curated and highly interpretable shortcut to finding valuable insights uncovered by researchers over the past few years.
I think this will be a useful resource for Faked Up subscribers, and will be updating it regularly as I review new studies.
The library currently includes short descriptions of 41 academic studies and systematic reports, primarily from 2020 onwards but with a few from earlier on. It’s organized in five clusters:
Prevalence and characteristics of misinformation
Effects of fact-checking interventions
Prevalence, detection, formats, and labeling of AI-generated deceptive content
Synthetic non consensual intimate imagery
Other
I’m copying below a typical entry. You can check out the full library at this link. This is a perk for paid subscribers, but as always, you can reach out for six months free access.
And with this, I’m done spamming you with extra emails.
I’ll be back tomorrow, with Faked Up #31.
example entry:
Fact-checker warning labels are effective even for those who distrust fact-checkers
📇 Nature Human Behavior | September 2024 | Cameron Martel and David G. Rand
Important takeaway in this study on Nature Human Behavior for those designing anti-misinformation interventions in online spaces.
Fact check warning labels reduce Americans’ propensity to believe or share false news despite differential trust in fact-checkers across political persuasions. As you can see in this chart, trust in fact-checkers is higher with Democratic voters:
But even when trust in fact-checkers is lowest (left on the x-axis below), fact checks still reduced the perceived accuracy of the labeled false news.
The chart looks the same for sharing intentions. Even though higher trust does lead on average to a higher reduction in sharing labeled false news, the effect is consistent across the board.
