In 2017, I did my Honours research project on whether, and how much, fact-checking politicians’ statements influenced people’s attitudes towards those politicians, and their intentions to vote for them. (At my Australian university, “Honours” meant a research-focused, optional, selective 4th year of an undergrad degree.) With some help, I later adapted my thesis into a peer-reviewed paper: Does truth matter to voters? The effects of correcting political misinformation in an Australian sample. This was all within the domains of political psychology and cognitive science.
During that year, and in a unit I completed earlier, I learned a lot about:
- how misinformation forms
- how it can sticky
- how it can continue to influence beliefs, attitudes, and behaviours even after being corrected/retracted, and even if people do remember the corrections/retractions
- ways of counteracting, or attempting to counteract, these issues
- E.g., fact-checking, or warning people that they may be about to receive misinformation
- various related topics in the broad buckets of political psychology and how people process information, such as impacts of “falsely balanced” reporting
The research that’s been done in these areas has provided many insights that I think might be useful for various EA-aligned efforts. For some examples of such insights and how they might be relevant, see my comment on this post. These insights also seemed relevant in a small way in this comment thread, and in relation to the case for building more and better epistemic institutions in the effective altruism community.
I’ve considered writing something up about this (beyond those brief comments), but my knowledge of these topics is too rusty for that to be something I could smash out quickly and to a high standard. So I’d like to instead just publicly say I’m happy to answer questions related to those topics.
I think it’d be ideal for questions to be asked publicly, so others might benefit, but I’m also open to discussing this stuff via messages or video calls. The questions could be about anything from a super specific worry you have about your super specific project, to general thoughts on how the EA community should communicate (or whatever).
Disclaimers:
- In 2017, I probably wasn’t adequately concerned by the replication crisis, and many of the papers I was reading were from before psychology’s attention was drawn to that. So we should assume some of my “knowledge” is based on papers that wouldn’t replicate.
- I was never a “proper expert” in those topics, and I haven’t focused on them since 2017. (I ended up with First Class Honours, meaning that I could do a fully funded PhD, but decided against it at that time.) So it might be that most of what I can provide is pointing out key terms, papers, and authors relevant to what you’re interested in.
- If your question is really important, you may want to just skip to contacting an active researcher in this area or checking the literature yourself. You could perhaps use the links in my comment on this post as a starting point.
- If you think you have more or more recent expertise in these or related topics, please do make that known, and perhaps just commandeer this AMA outright!
(Due to my current task list, I might respond to things mostly from 14 May onwards. But you can obviously comment & ask things before then anyway.)
Really thanks!
I think "offense-deffense balance" is a very accurate term here. I wonder if you have any personal opinion on how to improve our situation on that. I guess when it comes to AI-powered misinformation through media, it's particularly concerning how easily it can overrun our defenses - so that, even if we succeed by fact-checking every inaccurate statement, it'll require a lot of resources and probably lead to a situation of widespread uncertainty or mistrust, where people, incapable of screening reliable info, will succumb to confirmatory bias or peer pressure (I feel tempted to draw an analogy with DDoS attacks, or even with the lemons problem).
So, despite everything I've read about the subject (though notvery sistematically), I haven't seen feasible well-written strategies to address this asymmetry - except for some papers on moderation in social networks and forums (even so, it's quite time consuming, unless moderators draw clear guidelines - like in this forum). I wonder why societies (through authorities or self-regulation) can't agree to impose even minimal reliability requirementes, like demanding captcha tests before spreading messages (so making it harder to use bots) or, my favorite, holding people liable for spreading misinformation, unless they explicitly reference a source - something even newspapers refuse to do (my guess is that they are affraid this norm would compromise source confidentiality and their protections against legal suits). If people had this as an established practice, one could easily screen for (at least grossly) unreliable messages by checking their source (or pointing out its absence), besides deterring them.