There has been a surge of behavioral research on misinformation & "fake news". To synthesize things, @DG_Rand & I wrote a systematic review: psyarxiv.com/ar96c

We take a cognitive/social psych perspective, but we tried to cast a wide net for the review. Feedback welcome!
Sorry to those who retweeted an earlier version of this tweet that I deleted because the image preview was too zoomed in
There's too much in the review to cover in a tweet thread, but here are some of the take-aways that we thought to be particularly important...
First: Reasoning (or lack thereof) plays a substantially larger role in truth discernment (believing more true stuff than false stuff) than political concordance. Lots of evidence for this now across multiple studies.
Second, when someone shares something on social media, it does not mean that they believe it... or that they even considered whether it is accurate! People are pretty good at discerning between "real" & "fake" news if asked directly. But, when it comes to sharing... yah not great
Third, given that people may not be thinking enough about whether things are accurate before sharing them, a potential intervention is to prompt/prime/nudge the concept of accuracy. This improves the quality of the news that is shared online!
Fourth, platforms can do more to minimize people's exposure to low-quality news content by using user-ratings of source trustworthiness to inform ranking algorithms. i.e., show people information from the sources they trust, since untrustworthy sources aren't very trusted!
There are, of course, many very important questions that remain! Plus a lot of great research by labs from all around the world that I haven't reviewed in this thread. See the full paper for more: psyarxiv.com/ar96c
A clarification (I shouldn't have used the term "systematic" in the initial tweet). We don't make any such claims in the paper, of course.

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More from @GordPennycook

8 Nov
We're likely to face an unprecedented situation where the incumbent refuses to concede. Although it may not be necessary, things would certainly be easier if Republicans viewed the election as legitimate.

How uphill of a battle will this be? Well, I ran a study with @DG_Rand...
Study was run on Prolific & Lucid on Friday. In total, we have 509 Biden voters & 218 Trump voters. The samples are *not* nationally representative and a bit small. But, some fairly clear results came out.

More info on the sample:
A key initial Q is about people's priors. Do Trump voters believe it is *unlikely* that Biden won?

The answer is yes.

Reminder: This study was run on Friday when Biden was already well ahead & very likely to win. That he would win the popular vote was *never* in question.
Read 18 tweets
7 Nov
The following may be of interest to those who use Prolific and/or Lucid for surveys.

Ran a study yesterday about election-related opinions (plus some other stuff - data is a bit depressing, coming tomorrow) using Lucid & Prolific's "nationally representative" sample function...
Both sources use quota-matching to filter people into studies who match U.S. demo's on age, gender, ethnicity, and (for Lucid) region. However, there were some notable differences and similarities between the samples.

(Note: Target N for each was 500, study was ~10 min long.)
I included a very simple initial attention/bot check: "Puppy is to dog as kitten is to _____?" with an open-ended text box to respond. This came at the very start. Two other fairly simple attention checks came later in the survey. We also asked directly if ppl responded randomly.
Read 8 tweets
6 Nov
I do hope that someone is keeping a list of elected Republicans who a) supported Trump's baseless attacks on US democracy, b) said nothing, or c) repudiated him.
And for (c), if they did so *before* the election was called for Biden or after
Read 10 tweets
8 Jun
Our paper "Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy nudge intervention" is now in press at Psych Science!

I’m super proud of this paper - but first, a thread on the results.

Preprint: psyarxiv.com/uhbk9/
Actually, let's start with a different but first:

Please consider signing up for this:

Okay, back to the thread:

A key question is why people share misinformation on social media in the first place. If we can understand this, we might be able to develop interventions to slow it down. This becomes increasingly important in the context of a global pandemic.
Read 18 tweets
9 Aug 19
Thought I would share the backstory behind this one, which I think is interesting. Pertains to open science... and also open-*minded* science. (See what I did there)

A thread
Wim's work was absolutely seminal to my initiation into the field. My first ever experiment (an undergrad research course) was an extension of his 2008 Cognition paper.

I was (still am) a very big fan.

BUT, my master's work ended up being quite critical of some of his claims..
We submitted it to Cognition & Wim reviewed it somewhat harshly, but also fairly. And I know it was him because he *signs his reviews* (here's the open science part)

We had opportunity to improve our paper and it was ultimately published. (If u r curious sciencedirect.com/science/articl…)
Read 8 tweets
24 May 19
New working paper! "On the belief that beliefs should change according to evidence: Implications for conspiratorial, moral, paranormal, political, religious, and science beliefs" psyarxiv.com/a7k96

Read this thread if you're curious about how I (almost) fucked this one up.
First, I'll briefly explain the key finding.

In essence, we show that "actively open-minded thinking about evidence" (AOT-E) - that is, self-reporting that you think beliefs and opinions *should* change according to evidence - is a really strong correlate of lots of things.
IMO, that's cool and important (read the paper if you're interested)... but let's put that aside and focus on how I almost fucked this one up.
Read 16 tweets

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