Exploring the Use of Personalized AI for Identifying Misinformation on Social Media

A Browser Extension for in-place Signaling and Assessment of Misinformation

“…Additional cons that they discussed included that they want to think for themselves, unassisted by anyone (N=4), a sentiment that has been reported in prior work as well [48], and a worry that users may become accustomed to taking all content with a green checkmark next to it as credible, and not fact-check content for themselves (N=1).…”

“…Restricting the showing of assessments to topics of interest (N=1) sees assessments on content more often can be dealt with in two ways. One is using an AI that learns assessments from a select set of people (e.g., a user's trusted associates) and predicts how they would assess other similar content, such as the AI in [48]. Another is to explore whether a more extensive trust network can be built for each user by leveraging transitivity of trust.…”

“…But does this mean that instead, a governing body should make decisions that it decrees are in the best interest of users? Prior work has warned against relinquishing the power of content moderation to platforms and advocated for user autonomy in this space and argued that individuals have a moral right to freedom of listening and against compelled listening [48,51]. These rights are delivered to users on some platforms through affordances that allow them to for instance, tag, rate, or upvote content and filter based on this metadata.…”

Generative AI in the Era of 'Alternative Facts'

“…Concurrently with our work, it has been found that GPT-based explanations of content veracity can significantly reduce social media users' reported tendency to accept false claims (Hsu et al 2023), though they can be equally effective when used with malicious intent to generate deceptive explanations (Danry et al 2022). There have also been some early works that explore the use of personalization in AI fact-checking systems, such as Jahanbakhsh et al (2023), which examines the effects of a personalized AI prediction tool based on the user's own assessments, and Jhaver et al…”