no tag

How to Detect Twitter Bots Using eInsightData: An Excellent Twitter Bots Detector

How accurate are Twitter bot detectors? A sneak peek and an effective way to accurately identify fake Twitter followers from any account using eInsightData.

Twitter bots detector

The COVID-19 pandemic has engulfed the physical world that we live in. We are currently witnessing around 38+ Million global coronavirus cases and this number is not showing any signs of slowing down. Similarly, another pandemic has engulfed the world’s largest micro-blogging platform, Twitter.

The fake Twitter followers epidemic has hit the platform hard and even key personalities aren’t untouched from this menace. According to a New York Times report, there has been a rapid resurgence in the number of fake Twitter followers swarming the Twittersphere and even Twitter’s co-founder, Jack Dorsey’s account too is not untouched.

Companies like Devumi (now defunct) have been in the business of supplying fake Twitter followers for many years and now, we have to deal with the mess that they created. Fake Twitter followers are like a plague that, if remained unchecked, results in the complete annihilation of the platform’s authenticity and credibility.

A report published on CNBC claimed that there are nearly 48 Million fake Twitter accounts currently live on the platform. The report findings were prompted by the alleged interference in the 2016 US elections that was largely driven by the misinformation spread online by Twitter bots.

In fact, the brevity of the situation was so bad, that in July 2018, Twitter started wiping out millions of fake accounts, according to Vox. This move was aimed at control the spread of misinformation and promoting healthy conversations on the platform. People perceive Twitter as an authentic news source and if the authenticity of the platform is in the question, the news automatically becomes questionable.

Although the fake account deletion initiated by Twitter helped to some extent, there is absolutely not much the platform can do. The issue here is the fact that Twitter has such an enormous user-base, that accurately identifying all the fake accounts is more like finding a needle in the haystack.

How exactly do you identify fake followers? What are the traits exhibited by a fake Twitter account? How can you sure whether the account is fake or is simply inactive and belongs to a real person? I am pretty certain that even the most robust fake follower clean-up algorithm, won’t have the answers to these questions.

We certainly have platforms like TwitterAudit that claim to identify fake Twitter followers from any account. In fact, they are so confident in their services that they gained enormous popularity over recent years. It was all rosy until a report from TowardsDataScience concluded that the platform’s algorithms weren’t designed for auditing accounts with millions of followers.

I mean, who exactly would use it? Not me, I have just about 1200 Twitter followers and I know most of them not to be fake! Yes, many of my followers are pretty inactive but they are certainly not fake. TwitterAudit claimed that I just had over 40% fake followers. Why? They are real people living their lives, just like you and me, but according to TwitterAudit, they are bots.

Why Do Twitter Bots Detector Platforms Fail?

The TowardsDataScience report pointed out a few issues that plague the fake Twitter bots detectors currently available to us. You see, in order to identify fake Twitter followers from any account, the platform first needs to download the entire list of Twitter followers before performing an audit on all of them.

The fake Twitter bots detector platforms perform the analysis on a seemingly smaller set of followers that it picks up randomly and performs an audit on them. This random list of Twitter followers can contain only real followers, only fake followers, or a healthy mix of both. You never know what section or part of your Twitter followers list was analyzed.

Downloading followers from accounts that have a million of them is not an easy task and even the fastest tools out there will take several hours, if not days to download the entire followers' list and then perform an audit. You’ll be surprised to know that Donald Trump’s list of 87.2 Million followers will take at least 3 days to be fully downloaded. We are not even counting the time that will be required for an audit on all of them.

Now, do you see the flaw in the process? Today, most of the tools that are available to us follow the general protocol of analyzing just a fraction of followers and providing you with mostly inaccurate results. This pegs the question: Is there a legit way of detecting fake Twitter followers from any account?

eInsightData: The Ultimate Twitter Bots Detector

Twitter Analytics platform eInsightData has the potential of becoming your savior from this fake follower epidemic currently engulfing Twitter. The primary flaw that we observed in the auditing process was their inability to download the entire list of Twitter followers from any account.

Well, eInsightData changes that. The platform empowers you to download the list of Twitter followers or followings from virtually any account. You can even request Donald Trump’s entire list of 87.2 Million followers using eInsightData from eInsightData and the platform guarantees to provide an accurate followers report, compiled using the official Twitter API.

You can get followers report using eInsightData from any account and get a list of detailed metrics that can help you in performing a manual and detailed followers analysis. The contents of the followers' report are as follows:

  • Account Name: The name or the brand name of the Twitter account holder. If this name seems generic or fake, the account may be fake.
  • Screen Name: The name which the follower has opted to display. Again, a generic or seemingly fake name denotes that an account is fake.
  • Account’s Twitter Bio: This is the section that appears below the account name and Twitter handle of an account. Fake account creators usually do not fill out the Twitter bio section and if an account exhibits this characteristic, it should be on your ‘maybe fake’ list.
  • Followers count: This metric denotes the account-specific following of the follower from the target account. If an account has a significantly larger following count as compared to their followers' count, this is a sign of a fake Twitter account.
  • Friends count: Friends are the accounts that the targeted account follower follows. Again, a significant disproportion in terms of followers and friends is a metric of fake accounts.
  • Listed counts: Listed counts denotes the number of lists a specific follower has created in their account. If an account has a higher number of lists, it is a metric of authenticity and the account may be healthy.
  • Account Creation Date: This metric provides the account creation date and time. A very useful detail that helps in identifying fake followers. Fake accounts tend to be newer and are usually created just in time to spread fake news of propaganda.
  • Account Verified Status: Accounts that are verified by Twitter to be genuine, of noteworthy presence, and belonging to an authenticated real person are listed as ‘True’ or ‘False’ in the report. Account verification status is denoted by a blue tick that appears on the right of a Twitter account name.
  • Statuses count: This is simply the number of tweets that the listed follower has sent out from their account. Fake accounts tend to have 0 or extremely low-status count.
  • Contributors enabled: This is the count of users that have access to the followers' Twitter account. Business accounts usually have a higher contributor figure than individual users. This is a positive metric and is usually exhibited by accounts managed by real persons.

You can get detailed followers to report for any Twitter account using eInsightData’s follower download option and verify these metrics by yourself. If any account matches 4 or more than 4 of the above mentioned fake follower criteria, it is most likely to be a fake account.

Since you have all the raw data at your hands, the analysis becomes perfectly accurate, and getting the final outcome just becomes a matter of stifling through the data using Excel commands.

How to Download List of Twitter Followers and Identify Fake Twitter Followers?

eInsightData enables you to download the list of Twitter followers from virtually any account seamlessly. The platform is highly intuitive and even first-time users won’t experience any difficulties in navigating the well-laid-out interface. Here is a breakdown of the steps involved in downloading the list of Twitter followers and leveraging the data for identifying fake Twitter followers:

  1. Navigate to
  2. Type in the targeted Twitter account handle.
  3. Enter your email for the report to be delivered.
  4. Choose your preferred file format for the followers' report (.CSV/.xlsx).
  5. Click on ‘Get Price or Free Sample’.
  6. Complete the payment.

As soon as you complete the payment, the followers' list from the target account will start getting generated and you will have a complete list of Twitter followers delivered to your email. Although eInsightData is one of the fastest platforms for Twitter data retrieval, the report generation time is solely dependent on the number of followers in the target account.


It’s absolutely certain that fake Twitter followers are a real menace for brands and noteworthy personalities alike. They not only spread misinformation of troll legit users, but the sheer possibility of Twitter bots messing up your account analytics is also a problem that is currently experienced by millions of marketers globally. Therefore, it falls on all of us to take care of this problem as a team and tackle this fake follower epidemic.


Never miss an update from us by signing up to our newsletter

Einsightdata blog is the collaboration hub, where the right people are always in the loop and key information is always at their fingertips.