From Wikipedia

A modern melodrama is a dramatic work in which the plot, typically sensationalized and for a strong emotional appeal, takes precedence over detailed characterization. Melodramas typically concentrate on dialogue that is often bombastic or excessively sentimental, rather than action. Characters are often flat, and written to fulfill stereotypes.

Contemporarily, we use the word melodrama for narrative works that go to great lengths to induce certain kinds of emotion at all costs, to detriment of the internal cohesion of both plot and characterization, often in a manner that some consider cheesy, corny, or excessive. All soap operas are melodramas, as are many movies and TV shows. Some melodramas are cheap and fail to achieve their effects, while others can be more rich and even sophisticated. In a way, many mainstream stories are, to some extent, melodramas, even when there are other, more salient genres. There's melodrama in action, crime, and science fiction.

Here are some examples of what I consider more or less contemporary melodramas:

• The Young and the Restless
• Grey's Anatomy
• The Color Purple
• Downton Abbey
• Dawson's Creek
• Avatar
• Gone with the Wind

And here are some stories that are not melodrama, but contain a whole lot of it:

• True Blood
• The Walking Dead
• A.I. Artificial Intelligence
• Pretty much every super-hero CW show
• Pretty much anything in the MCU

I notice this primarily with the YouTube videos. I've started to notice that the videos I see posted in here I have already had recommended to me by YouTube. And I realize it must be because when I watch a video here, the YouTube algorithm decides I'm interested in that kind of thing. So, functionally, by posting and interacting with content in Tildes we are tuning the various algorithmic recommendation feeds that we interact with to view us all similarly.

It's just an interesting side effect I noticed and some food for thought about the effectiveness of a link aggregator or discussion forum at surfacing novel, interesting content we might not find otherwise. In part, this could just be an effect of Tildes being kind of small and having lots of self-selection biases for its user population. Perhaps if it was more diverse we'd be exposed to more things that break the mold and recommendation algorithms won't be able to pin it all down as easily. In fact, we may be able to use this effect as a way to test the breadth and diversity of content and types of people a site is attracting.