Belinda Smith

And that's, you know, rooted in those appearance standards, but it doesn't truly reflect the picture of well-being.

Yeah, absolutely.

So these studies were actually experimental studies.

So it was participants being brought into a lab and they were exposed to these images, whether it was over a period of time or a specific number of images that they were engaging with and seeing.

And what makes this so interesting is that it paints a picture of the immediacy of

of exposure and engagement with this content.

And I think you mentioned that at the start, you know, we usually think that, you know, algorithms are feeding us this kind of content and we're generally just being exposed to this, which is very true.

Right.

But there is a really interesting

Yeah, that's a really important question.

And something that was really interesting about this paper is that it draws on data from multiple countries and the samples themselves, you know, incorporated both men, women and other key demographic factors.

But it's interesting that such factors are reported inconsistently.

And because of that, we didn't see clear differences across demographic groups in terms of responses, largely due to those gaps in the data.

But it doesn't mean that those differences don't exist, right?

And in many ways, it is one of the most important takeaways from this study that we need more inclusive and diverse research to understand how FITspiration impacts different populations as people are maturing and understanding how engaging with this content is impacting their well-being.

They take different measures.

Whether that is, you know, blocking certain types of content, trying to curate their media environments a little bit more carefully.

But it takes a long process of self-discovery and self-understanding, which is a really important component of such work.

Yeah, so that is really interesting.

So now, well, you know, through the evolution of Fitspiration, it was banned from different platforms that it was on.