The hottest Spam Detection Substack posts right now

And their main takeaways
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Spam in the firehose

Conspirador Norteño • 128 implied HN points • 06 Dec 24
🕹 Technology Spam Detection
  1. Monitoring the Bluesky firehose can help quickly spot fake accounts. By looking for repeated names and profiles, it's easier to identify spam activity.
  2. A large number of spam accounts often share similar biographies. One group had over a thousand accounts with variations of the same few phrases.
  3. Many spam accounts use stolen images as profile pictures. This makes them look less authentic and easier to identify as spam.

Finding fake followers (Bluesky edition)

Conspirador Norteño • 68 implied HN points • 18 Jan 25
🕹 Technology Spam Detection
  1. You can spot fake followers on Bluesky by looking for accounts with similar join dates and generic profiles. These accounts often have no posts and repetitive bios.
  2. Using a method where you track the followers of suspected fake accounts can help identify whole networks of fake followers. By downloading and filtering their followers, you can map out these networks.
  3. The Bluesky platform has a real-time feature called the firehose that makes it easier to catch fake follower activity as it happens. However, this can give some false positives, so users need to be careful.

“A title similar to the curious content that makes users click to see”

Conspirador Norteño • 48 implied HN points • 15 Dec 24
🕹 Technology Spam Detection
  1. Social media networks are being flooded with spammy posts that link to fake news sites. These are typically run by accounts that pretend to be real people using stolen profile images.
  2. Many spam accounts were created in batches, suggesting automated processes are involved. This makes it easier to spot the fake accounts since they often post the same content repeatedly.
  3. The spam accounts are not limited to one platform; they are also found on different social media like X (formerly Twitter). They mainly promote articles that are simply copied from popular news sites.

Spam in the firehose, part III

Conspirador Norteño • 32 implied HN points • 14 Feb 25
🕹 Technology Spam Detection
  1. There is a large network of fake accounts on Bluesky, all created to follow real users quickly and in groups. These accounts look almost identical, using default profile images and very little personal information.
  2. The spam accounts often follow a mix of different types of real accounts, including celebrities and businesses, but they usually don't have much content themselves. They mainly repost or reply with very simple comments.
  3. The way these fake accounts behave, like following in large swarms, makes it easy to spot them. They create a clear pattern that shows they aren't real users.

This landscape does not exist

Conspirador Norteño • 32 implied HN points • 28 Dec 24
🕹 Technology Spam Detection
  1. Facebook is flooded with AI-generated images, often coming from pages that aren't run by regular users. These images sometimes get a lot of attention, but they mainly come from content farms.
  2. Many Facebook pages post the same AI-generated images around the same time, with slight changes to avoid detection. This suggests they might all be operated by the same group of people.
  3. The AI-generated images often look strange and unrealistic, with obvious glitches like odd-looking roads and animals. They tend to have brighter colors than real photos, making them easy to spot.
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Spam in the firehose, part II

Conspirador Norteño • 20 implied HN points • 21 Dec 24
🕹 Technology Spam Detection
  1. A large network of spam accounts has been created on the platform Bluesky, with over 15,000 accounts active. These accounts often have similar or identical profile photos and biographies.
  2. The most common biographies used by these spam accounts are repetitive and lack originality. Many accounts use phrases like 'passionate about exploring innovative ideas' interchangeably.
  3. These spam accounts mostly repost content from varied accounts but don’t create original posts themselves. There is also a suspicious account promoting social media services that seems linked to this spam network.