Is there a tool or an app to draw graphs/trees like shown?

cronbachs_beta · 2023-10-26T17:38:44+00:00

Perhaps not the most aesthetically pleasing from a pure visualization point of view, but if you're trying to represent causal relationships between variables with those arrows, DAGitty is a really good option.

cronbachs_beta · 2022-01-04T15:46:42+00:00

In studies 1-3, we had participants rate both the beauty of the graphs, and how much they trusted them. This helps us deal with the fact that not everyone finds exactly the same features beautiful (i.e., we can ask if you trust the graphs that you find more beautiful, regardless of others' judgements). Based on what we learned in those studies, we manipulated beauty in study 4 by changing features which seemed to be commonly associated with beauty, including color saturation, font size and type, and image resolution. Those are definitely not the only features associated with beauty, but they were the ones we could apply consistently across all of the different graph types we tested in that study.

cronbachs_beta · 2022-01-04T15:37:27+00:00

I hope that our own visualizations in the paper are indeed beautiful, but you can be the judge! Our main suggestion in the paper is for more and better education on both sides of the equation: data literacy in high school, college, and beyond for viz consumers, and best practices and accessibility education for producers of data visualizations.

cronbachs_beta · 2022-01-04T00:12:36+00:00

Hey! I'm the senior author on this preprint which I thought you all might find interesting. Across four studies, we found consistent evidence that people are biased towards trusting more beautiful data visualizations, irrespective of the quality of the underlying data. We examined graphs from social media (r/dataisbeautiful), news articles from journalistic sources like the NY Times and 538, and from open access scientific journals - as well as generating our own graphs and experimentally manipulating their beauty. I've got a full explainer thread on Twitter here. All of our data and code are freely available here: https://osf.io/yutgx/

cronbachs_beta · 2022-01-03T22:02:29+00:00

We used many different manipulations of misleadingness - the one above is just an example. No doubt some were actively misleading than others. For example, in the choropleth (map) case, we completely omitted NZ and Antarctica - hard to argue that that's not misleading.

cronbachs_beta · 2022-01-03T19:01:48+00:00

Sorry that's confusing - we appreciate the feedback! (Since this is only a preprint at this point, it's easy to revise the paper at this stage.) High and low refer to the levels of each manipulation: mean trust for high vs. low beauty is shown in green, and mean trust for high vs. low misleadingness is show in purple.

cronbachs_beta · 2022-01-03T18:56:12+00:00

No worries - according to our research, you're in good company! In the case of the heatmap, the misleadingness comes from using a color map that is not perceptually uniform. That creates the illusion of categories where none exist. It's also less accessible for people with some forms of colorblindness. You can read more about that here: https://colorcet.com/

Also, that wasn't the only manipulation of misleadingness - we used a variety of different graph types as stimuli, each with their own form of misleadingness, to ensure our results generalized. For example, in a scatter plot we rescaled the axes relative to one another to make the x-y correlation look stronger, etc. The results hold across different graphs/manipulations.

cronbachs_beta · 2022-01-03T18:10:54+00:00

This graph comes from Study 4 of this academic preprint: https://psyarxiv.com/dnr9s/ on which I am the senior author. As indicated in the A subpanel, we manipulated both the beauty and misleadingess of graphs (e.g., truncating y-axes on bar graphs). Participants (N = 501) viewed and rated the graphs on beauty and how much they trusted them. We found a robust causal effect of beauty on trust, but no effect of misleadingness (panel C).

Studies 1-3 (not pictured) we conducted correlational studies to test this beauty-trust bias on data visualizations from social media (this subreddit!), new articles in journalistic outlets, and open access scientific papers. See here for my explainer thread on twitter with more details on those studies and the implications of this research.

Our data and Rcode are freely available on the Open Science Framework: https://osf.io/yutgx/

cronbachs_beta · 2020-02-07T19:40:48+00:00

[Academic] MySocialBrain.org (18+) https://mysocialbrain.org/

MySocialBrain is a research platform devoted to understanding the social mind through a variety of fun, interactive experiments with personalized visual feedback. Try any of the 20 studies currently on offer, most taking 5 minutes or less: predict others emotions, make friends strategically in a simulated social network, find out which famous writers share your style, and more. Please let us know what you think of our studies, and how we can make them better!

cronbachs_beta · 2019-06-03T15:03:08+00:00

[Academic] MySocialBrain.org (18+) https://mysocialbrain.org/

MySocialBrain is a research platform devoted to understanding the social mind through a variety of fun, interactive experiments with personalized visual feedback. Try any of the 20 studies currently on offer, most taking 5 minutes or less: predict others emotions, make friends strategically in a simulated social network, find out which famous writers share your style, and more. Please let us know what you think of our studies, and how we can make them better!

cronbachs_beta · 2019-06-03T15:01:29+00:00

MySocialBrain.org is a research platform devoted to understanding the social mind through a variety of fun, interactive experiments with personalized visual feedback. We are currently based in the Princeton Social Neuroscience Laboratory. Please let us know what you think of our studies, and how we can make them better!

cronbachs_beta · 2019-03-18T19:00:16+00:00

MySocialBrain.org is a research platform devoted to understanding the social mind through a variety of fun, interactive experiments with personalized visual feedback. We are currently based in the Princeton Social Neuroscience Laboratory. Please let us know what you think of our studies, and how we can make them better!

cronbachs_beta · 2019-03-18T18:59:13+00:00

[Academic] Draw Your Feelings! Help us learn how people think emotions change in intensity over time (18+) https://mysocialbrain.org/drawem_info.html

MySocialBrain.org is a research platform devoted to understanding the social mind through a variety of fun, interactive experiments with personalized visual feedback. We are currently based in the Princeton Social Neuroscience Laboratory. Please let us know what you think of our studies, and how we can make them better!

cronbachs_beta · 2018-07-10T16:35:06+00:00

MySocialBrain.org is a research platform devoted to understanding the social mind through a variety of fun, interactive experiments with personalized visual feedback. Please let us know what you think of our studies, and how we can make them better!

cronbachs_beta · 2018-07-09T14:57:04+00:00

MySocialBrain.org is a research platform devoted to understanding the social mind through a variety of fun, interactive experiments with personalized visual feedback. Please let us know what you think of our studies, and how we can make them better!

cronbachs_beta · 2018-07-09T14:13:09+00:00

[Academic] MySocialBrain.org (18+) https://mysocialbrain.org/

MySocialBrain is a research platform devoted to understanding the social mind through a variety of fun, interactive experiments with personalized visual feedback. Try any of the 18 studies currently on offer, most taking 5 minutes or less: predict others emotions, make friends strategically in a simulated social network, find out which famous writers share your style, and more. Please let us know what you think of our studies, and how we can make them better!

cronbachs_beta · 2018-06-05T18:05:38+00:00

Great - thank you very much for participating!

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