/
Navigation
Chronicles
Browse all articles
Explore
Semantic exploration
Research
Entity momentum
Nexus
Correlations & relationships
Story Arc
Topic evolution
Drift Map
Semantic trajectory animation
Posts
Analysis & commentary
Pulse API
Tech news intelligence API
Browse
Entities
Companies, people, products, technologies
Domains
Browse by publication source
Handles
Browse by social media handle
Detection
Concept Search
Semantic similarity search
High Impact Stories
Top coverage by position
Sentiment Analysis
Positive/negative coverage
Anomaly Detection
Unusual coverage patterns
Analysis
Rivalry Report
Compare two entities head-to-head
Semantic Pivots
Narrative discontinuities
Crisis Response
Event recovery patterns
Connected
Search: /
Command: ⌘K
Embeddings: large
TEXXR

Chronicles

The story behind the story

← → days · ↑ ↓ browse · Enter similar · o open

How scammers impersonating Twitter celebrities con people via fake giveaways, asking for small bitcoin, ether amounts, promising to send back several times more

BuzzFeed Ryan Mac

Context & Ripple Effects

This piece lands mid-arc in BuzzFeed's early-2018 crypto-fraud reporting: three weeks earlier it documented how scammers spread false coin information through social media, fake news sites, and pump-and-dump group chats, and twelve days later it would reveal that scammers had changed handles on verified accounts while keeping the verified badge — making this giveaway scheme one layer of a broader impersonation playbook.

The throughline matters because the same con resurfaces years later under different platform conditions: by 2021 the FTC counted $2M+ lost to Elon Musk impersonators alone, and in late 2023 scammers were still running fake Binance and zkSync giveaways on X — evidence that the small-deposit, big-promise format survived every moderation shift in between.

First-order effects

  • Victims are being asked for small bitcoin or ether transfers with promises of multiplied returns, meaning individual losses per victim stay low enough to evade alarm while aggregating into real revenue for scam networks.
  • Celebrities whose names anchor the fakes — the Musk-and-Gates tier named in later coverage — absorb reputational damage and support requests they did nothing to cause.

Second-order effects

  • Twitter is forced into an enforcement arms race, culminating months later in locking accounts that impersonate celebrities — a direct platform response to exactly this scam format.
  • The verified-badge handle trick exposed in the related coverage pressures Twitter to treat verification as a security control rather than a status marker, since the badge itself became the scam's trust prop.

Third-order effects

  • If the pattern holds, crypto fraud migrates faster than any single platform's takedowns — from Twitter's verified-badge exploits to Instagram giveaway schemes to X account impersonations — making cross-platform identity verification the durable battleground rather than any one enforcement action.
  • Regulators enter the frame as losses compound: the FTC's six-month loss tally signals that consumer-protection agencies treat celebrity-impersonation crypto scams as a measurable harm category, not isolated incidents.

The trend: Celebrity-impersonation crypto giveaways are becoming a persistent, cross-platform fraud category that outlasts individual platforms' moderation cycles, pushing identity verification and regulator attention to the center of social-platform trust.

Discussion

  • @cwarzel Charlie Warzel on x
    If you'd like to see how bad Twitter's bot problem is — in real time — check out the bitcoin scams going on as we speak http://www.buzzfeed.com/...