How and Why Killers Are Glorified These Days…

When platforms reward provocation and spectacle, accused killers do not just trend—they are cast, costumed, and sold as cultural protagonists, while the people harmed by their alleged acts recede into the algorithm’s background.

The Short Version

Across major platforms, an offender-centric fandom routinely emerges around high-profile suspects, blending irony, outrage, lust, and politics into quick-monetized mythmaking.
The Mangione case became a clear, recent example: sympathy, merch, and “folk hero” framing flourished online, even as law enforcement decried celebratory posts.
Engagement mechanics amplify taboo and transgression, so a relatively small, fervent cohort can look like a groundswell.
Not all visible support equals approval of violence—some express system-focused anger—but the net effect still shifts attention and empathy away from victims.

What “glorification” looks like in practice—and why it travels

In the modern attention economy, the fastest path to visibility is emotional intensity: content that shocks, flatters, or enrages is structurally advantaged. That is why, after a violent crime, posts that reimagine an accused killer as an avatar—anti-hero, romantic object, or agent of justice—gain traction. Researchers have documented a cross-platform ecosystem where celebratory depictions of mass-casualty perpetrators and accused killers are easy to find, including by minors, with aesthetics and in-jokes that make the content feel like fandom rather than advocacy for violence. The result is a familiar pattern: offender-centered narratives proliferate, victims fade, and a handful of highly active accounts make the phenomenon appear broader than it is.

Recent coverage of the Luigi Mangione case illustrates these dynamics cleanly. Major outlets described a surge of posts hailing him as a hero, alongside hashtags, memes, and merchandise that packaged the alleged crime into a consumable identity and a statement about power and grievance. New York City’s police leadership publicly condemned online celebration and threats tied to the case, underscoring how digital glorification can bleed into intimidation and operational friction for investigators. Some reports even flagged inorganic amplification—fake or coordinated accounts that helped manufacture momentum—demonstrating how the perception of “everyone is saying it” can be engineered.

How we got here: true crime, hybristophilia, and the algorithm

This is not a sudden moral collapse so much as an acceleration of long-standing impulses. True-crime media, going back decades, has often centered perpetrators—motivations, mystique, methods—because those angles reliably hold attention. Digital platforms then layered on three multipliers. First, recommendation systems privilege content that sparks intense, repeat engagement; taboo attraction and shock deliver exactly that. Second, creator incentives—follows, tips, merch—turn attention into commerce, so “anti-hero” arcs become product lines. Third, participatory culture reframes spectators as co-authors: users remix court filings into memes, transform mugshots into thirst-trap edits, and launder moral discomfort through irony. Academic and policy analyses consistently find that this ecosystem normalizes offender glamourization and marginalizes victims, even if many viewers insist their interest is “just curiosity”.

Within that frame, it is unsurprising to see an accused killer’s personal signifiers—what he reposted, which elites he admired—pulled into a myth-making narrative that flatters audience identity. Reports noted Mangione’s social media nods to high-status tech figures; those details were readily metabolized into hero or anti-hero templates that already circulate in political and pop-cultural discourse. The point is not causation but usability: details that travel well become building blocks for a character the crowd can recognize and reuse.

Where the genuine disagreement lies

Two claims often surface in tension. The first, advanced by law enforcement and many commentators, is that glorification is real and corrosive: it traumatizes victims’ families, muddies public understanding, and can complicate investigations. The second, voiced by some supporters or analysts, is that portions of what looks like glorification are actually expressions of grievance—rage at perceived institutional failure, dark humor under pressure, or political protest. In the Mangione discourse, multiple analyses documented explicit heroization and commodification—shirts declaring him a hero, TikToks with “free my man,” folk-hero memes—as well as research showing a nontrivial share of survey respondents reporting sympathy when they connected the alleged act to their frustrations with health insurance bureaucracy. These positions are not mutually exclusive; both can be true at once.

The differentiator is effect. Whatever the motive of individual posters, the aggregate product of the content economy is offender elevation. Even when users insist they are “critiquing the system,” the visual grammar—fan edits, slogans, avatars—performs admiration to onlookers and to the algorithm. That performance is what drives distribution. In other words, intent varies; the outcome is consistent.

Scale, authenticity, and the mirage of consensus

Another source of confusion is scale. Platform feeds are bad at context: a few thousand loud posts can look like culture-wide assent. Analyses suggesting that large shares of amplification came from inauthentic or low-quality accounts in the Mangione conversation complicate the picture further. For readers and policymakers, the operative question is not “Is everyone doing this?” but “Does the system reliably reward and reproduce this?” On that narrower point, the evidence is strong: sensational offender-centered content is discoverable, repeatable, and monetizable across platforms, making future iterations likely regardless of case specifics.

Consequences that endure beyond a single case

Glorification distorts public memory, policy debate, and even risk. When the protagonist slot is occupied by an accused offender, victims become narrative props; their lives and the harms to their families receive less cognitive real estate. Policymaking then orients around the most clickable parts of the story rather than the most consequential. There is also the hazard of imitation: attention-seekers can learn, from prior cycles, that transgression plus a compelling archetype yields cultural currency—even if most consumers are not endorsing violence outright. None of this requires a mass movement; it only requires that the next person with a grievance believes there is an audience and a template waiting.

Mitigation does not demand censorship maximalism. It requires precision. Platforms can downrank monetization and recommendations for content that aestheticizes alleged or real violence—especially formats that time-slice mugshots, courtroom footage, or manifestos into romantic or triumphant edits—while protecting legitimate reporting and sober analysis. Newsrooms and creators can rebalance coverage toward victims and communities without withholding facts about suspects. And audiences can enforce a simple discipline: resist the share impulse for content that flatters your politics but elevates a killer’s brand.

@AngelNewsGal Social media is turning accused killers into tragic protagonists while the real victims disappear from the story as Bethany Miller warns that online empathy is increasingly crossing the line into glorification#NYI pic.twitter.com/T6PLKhTzOS

— NewYork-Insight (@NewYork_Insight) September 4, 2026

Reading against the feed

The feed will always push you toward the most charged frame. Expertise begins with stepping back from that reflex. Ask what is being centered, who profits from the centering, and what empathy cost is being incurred downstream. The technology is not neutral, and neither is our attention. If we keep casting accused killers as icons—whether folk heroes or sexy villains—the platforms will keep greenlighting the sequel.