Nov 20 Posted 9 months ago
I had the same problem as described above and could not find a way to get rid of the fake likes so I build my own tool to remove them. Now I have let other use it as well and have a whole community of people removing likes. More information about this tool can be found here https://www.removelikes.com
We have a facebook group here
The tool works with Facebook graph search to find people to remove, example. People from Turkey that likes page
You can make 1,000s of different searches to find the fake likes and remove them. This has proven better engagement for our pages.
Mar 11 Posted 2 years ago
Nice article Pam. I take a very dim view to those who buy fans too; it negates everything that is so valuable about soicial media and makes no sense to me, but in all walks of life and in all industries, you will get people who are unethical.
My only concern is with the validity of fake follower checker tools. Case in point. My own personal Twitter account which I have had for over 4 years, was locked down until only a few weeks ago and any follower requests from accounts that looked fake were always ignored or turned down and yet 4% of my followers are labelled as being fake.
People need to be aware that a low percentage like this is, I would expect, quite normal, especially for non-protected Twitter feeds. I take the quality of my follwers very seriously and have no desire for fake fans simply to inflate my follower numbers, but even with such attention to detail and a totally non-commercial Twitter acount, i've still got fakes.
I think it is worth pointing out then, that the larger a business is, the more 'fake' accounts it will naturally attract. It would be good to know some stats on average followers labelled as fake - CocaCola, who i'm sure have no need to buy fake Twitter likes, shows as having 14% faks.
My advise would be not to start any competitor witch hunts based on tools like this alone, if you suspect a competitor, apply some common sense, it's often really easy to spot 'fake' Twitter accounts by a quick glance at their follower list and also to allow for a 10%-20% margin of error, that is to say the number of fake accounts that have followed through no fault or direct action of the company being followed.
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