There is a familiar complaint whenever another embarrassing, chaotic or downright ridiculous Black gay story takes over social media:
“The algorithm is pushing this mess.”
And sometimes it is.
But there is another part of the conversation we seem much less interested in having.
We clicked it.
We watched the entire video. We opened the comments. We sent it to the group chat. We came back two hours later to see whether somebody responded. We searched for Part 2. We followed the person we claimed we could not stand. Then we shared the video with a caption asking why “this is what they always show us.”
At some point, we have to admit that the algorithm may be holding up a mirror.
Drama Has Become Its Own Economy
Social media platforms did not invent gossip, public feuds or the human fascination with other people’s mess. Long before Facebook, TikTok and Instagram, people gathered around barbershop chairs, beauty salons, kitchen tables and telephone lines to discuss who did what to whom.
What social media changed was the economics.
Attention can now be measured, packaged and sold.
A fight isn’t simply a fight anymore. It can be a Reel.
A breakup can become a seven-part series.
An arrest can become content before the person has even made it home.
A vague Facebook status can generate an afternoon of speculation. A livestream argument can spawn reaction videos, response videos, screenshots, podcasts and another livestream discussing the original livestream.
And every person watching is casting a vote.
Not necessarily a moral vote. An algorithmic one.
Research has repeatedly found that emotionally charged and negative material performs particularly well online. A 2024 study published in Scientific Reports found that negative online news articles were more likely to be shared to social media. Other research examining millions of posts has found that social feedback can reinforce expressions of moral outrage: when outrage receives positive engagement, people become more likely to express outrage again.
That creates a remarkably simple lesson for anyone making content:
Give the audience what gets a reaction.
We Say We Want Better Representation. Our Thumbs Sometimes Say Otherwise.
This contradiction becomes particularly complicated in Black LGBTQ spaces.
We rightfully complain when mainstream media reduces Black gay life to stereotypes. We want stories about successful relationships, careers, families, entrepreneurship, art, friendship, aging, faith, travel and ordinary life.
Those stories exist.
The uncomfortable question is whether we support them with the same enthusiasm.
Put a Black gay couple celebrating 20 years together next to a livestream titled “HE CHEATED WITH MY COUSIN AND I HAVE RECEIPTS” and you probably don’t need a degree in data science to guess which comment section is about to become a war zone.
That doesn’t mean positive Black LGBTQ content never succeeds. It obviously does.
It means conflict possesses something wholesome content often doesn’t: urgency.
You need to know what happened.
You need to know who lied.
You need to know whether there are screenshots.
And, most importantly, you need to know what happens next.
Drama naturally creates episodic storytelling. Every response produces another cliffhanger.
Platforms are extraordinarily good at noticing that behavior.
The Algorithm Learns From Us
It is tempting to imagine “the algorithm” as some evil computer sitting inside a server room deciding that Black gay people should spend Tuesday afternoon arguing.
The reality is more complicated.
Engagement-based recommendation systems learn from behavioral signals. What people click, watch, like, comment on and share helps determine what gets surfaced.
Research into engagement-based feeds has found troubling consequences. A published algorithmic audit found that engagement-based ranking amplified emotionally charged and hostile political content compared with chronological feeds—even though users did not necessarily report preferring what the algorithm selected.
And a major 2026 Nature study went further. Researchers randomly assigned roughly 2,000 participants to different social-media feed systems over eight weeks surrounding the 2024 presidential election. They found engagement-based feeds amplified intergroup, moralized, emotional and toxic material compared with reverse-chronological feeds, with particularly large increases in moral outrage.
So yes, algorithms matter.
But notice the loop.
People react strongly to provocative material.
Platforms detect the reaction.
The material receives greater exposure.
Creators notice what performs.
Creators produce more of it.
Audiences react again.
Eventually everyone looks around and asks:
“Why is my timeline so negative?”
Well…
We trained it.
Hate-Watching Still Looks Like Watching
This may be the most important thing audiences misunderstand about social media.
Your disgust can still be engagement.
You can watch somebody’s entire three-minute video because you think they’re an idiot. The platform still sees a three-minute view.
You can leave a paragraph explaining why somebody doesn’t deserve attention.
You just gave them attention.
You can send a ridiculous post to six friends so everybody can laugh at it.
You just distributed the post to six more people.
This is the strange economics of the attention business: loving something and hating something can produce surprisingly similar behavioral signals.
And outrage carries an additional advantage.
It makes people participate.
Research into online moral panics has found that signals of virality themselves can intensify perceptions of threat and encourage expressions of moral outrage. In other words, seeing that everybody else is talking about something can make the thing appear even more significant—and worth talking about ourselves.
Suddenly, 200 comments become 2,000.
Then somebody screenshots the comments.
Now the comments have content.
The machine eats everything.
Creators Notice What You Reward
There is another uncomfortable party in this relationship: us.
Content creators are not stupid.
If a thoughtful interview gets 8,000 views and a messy argument gets 800,000, eventually somebody is going to start looking for another argument.
If discussing Black LGBTQ history produces twelve comments but discussing somebody’s relationship produces twelve hundred, creators receive the message.
And for creators whose income depends on views, that message has a dollar sign attached.
That doesn’t excuse deliberately manufacturing conflict, spreading false information or humiliating people for engagement.
But it does explain the incentive.
The audience is effectively standing at the counter ordering hamburgers every day while yelling through the kitchen window:
“Why don’t y’all ever serve salad?”
The salad is on the menu.
Nobody ordered it.
This Has Consequences Beyond Entertainment
The problem becomes more serious when viral dysfunction starts masquerading as representative reality.
If the Black gay people who consistently reach the largest audiences are the ones fighting, exposing, accusing, feuding or behaving outrageously, someone casually scrolling can begin believing that is what Black gay life looks like.
It isn’t.
Social media isn’t a census.
Virality isn’t a representative sample.
The loudest person on your timeline was not elected spokesperson.
But repeated exposure has power.
LGBTQ users are already navigating platforms where harassment and hateful content remain significant concerns. Recent assessments have criticized major social platforms for inadequate protections against anti-LGBTQ hate and harassment.
Layer an engagement economy on top of that, and dysfunction can become disproportionately visible precisely because people cannot stop looking at it.
That matters.
Especially for young Black LGBTQ people whose first meaningful exposure to a broader queer community may happen through a screen.
Nobody Is Asking You to Become Boring
None of this means we need to turn social media into Sunday school.
Mess is funny.
Gossip can be entertaining.
Sometimes somebody does something so ridiculous that the group chat has a civic responsibility to discuss it.
Human beings have always enjoyed drama, and pretending otherwise would make this entire conversation dishonest.
The issue is proportion.
If we genuinely want a broader representation of Black gay life, we have to broaden what we reward.
Watch the interview.
Share the business opening.
Comment on the wedding anniversary.
Send the talented artist to your friends.
Follow the creator talking about history.
Celebrate somebody while they’re doing well instead of discovering them after their mugshot goes viral.
Because every click teaches the system something.
Maybe the Algorithm Knows Us Better Than We Want to Admit
Blaming social media companies is easy because there are legitimate reasons to criticize them. Engagement-driven systems can amplify emotionally charged material, and researchers continue demonstrating how those systems can distort what people see.
But algorithms don’t operate in a vacuum.
They are responding to human behavior.
Our curiosity.
Our outrage.
Our tribalism.
Our boredom.
Our need to know exactly what happened after somebody said, “I’m finally ready to tell my truth.”
The algorithm didn’t invent those impulses.
It industrialized them.
So the next time our timelines are filled with Black gay chaos and somebody asks why “the algorithm keeps promoting this stuff,” maybe the better question isn’t simply what the platform promoted.
Ask what we rewarded.
Because if millions of us keep stopping for the car crash, eventually somebody is going to build a highway full of wrecks.
