Standard typo on first post in a thread - when will we get editing on Bluesky?

It is also completely offline - your participants' locations never leave your computer and are certainly not shared with a big company. You can read more on my blog post below. Please let me know if you find this useful!
pave.irlresearch.site/posts/privloc/

Instead of a paid, proprietary service (think Google Maps) it uses free map data from OpenStreetMap. This saves costs and also lets that you capture map data the way it was when you ran the study, making it reproducible even as map data changes over time.

privlocR takes a list of locations - longitudes and latitudes - and translates each one into a list of tags - is this near any buildings? any shops? is it in a university? in a forest or near a coastline? All in a few simple lines of R code.

This work was conducted at the Princeton Social Neuroscience Lab, led by @dianatamir.bsky.social , with original study design and data collection led by Tony Phan and assisted by @markthornton.bsky.social and Sara Verosky. My work on it was supported by the European Union’s Horizon 2020 programme.

This increased stereotyping might explain some of the harassment and other problematic behaviors these populations experience. You can read a slightly longer summary at the PAVE project blog pave.irlresearch.site/posts/social...

These might include celebrities, or model minorities (e.g., women who are perceived by some men as purer, more delicate and more moral). Our findings suggest that in these cases people are especially likely to rely on stereotypes even if they have ostensibly positive attitudes.

We found that familiarity was uniquely associated with the use of target-specific knowledge, while liking (by itself) was associated with more stereotyping. This has real implications for inferences about others we like, but are not familiar with and do not feel similar to.

To answer this question, we asked participants to make social inferences about various targets - celebrities, fictional people, and real acquaintances, while measuring similarity, familiarity and liking as well as the use of different information sources.

In most cases, similarity, familiarity and liking go together, and lead to more use of self-knowledge (assuming that others' beliefs are like ours) and target-specific knowledge and less use of stereotypes. The current study asks what happens when these dimensions diverge.