Updates:

• Followback verification is implemented
• Multi-search is implemented
• Tweets analysis algorithm is improved
• Multi-account detection is implemented

Bots. Twitter bots. They are the problem actual for both sides: bounty hunters and managers.
Bounty hunters get paid less and in some cases are not able to enter a campaign (e.g. bountyhive campaigns) due to a large number of participants, most of whom are bots.
Bounty managers also suffer from them as they need to analyze more Twitter accounts and check more reports.


An existing solution (Twitter Audit) is useless in finding bots and analyzes only users’ followers.
Bot accounts have basically follow-for-follow followers who are marked as real by the service, so it does not bear any value.
What’s the solution? TwitterScoring. This is a web application that automatically analyzes Twitter profiles and gives them scores depending on their quality.
The score is based on 3 main criteria: personal tweets, posting timings and social engagement.


Personal tweets. It shows how much a specific user posts his own tweets. TwitterScoring analyzes last 100 posts excluding replies. Bot accounts are full of retweets from different projects, so they will not get high scores for this criterion.
Posting timings. It shows how often a specific user posts from his account. Bot accounts participate in many bounty campaigns, so they need to post a lot to meet their rules. Such behavior is noted by TwitterScoring and users with overposting can't get high scores.
Social engagement. It shows how active is the user audience. As already noted, bot accounts have basically follow-for-follow followers who do not really follow their updates, so bot profiles do not have likes and retweets under their tweets and in most cases get 0 for this criterion.

All criteria are calibrated on more than 10 000 real Twitter accounts. It’s not hard to get a score of 50 if you have enough personal tweets and do not post too much. The remaining half is based on social engagement and it’s not an easy task to get a score of 100 in total. TwitterScoring was designed to rank people from nobody to celebrity and that is why social engagement means a lot.


Not only bot accounts can get low scores on TwitterScoring, but also people who prefer quantity over quality as they post too much and often quickly to complete all campaigns at one time. So, how to determine whether a specific user is a bot or not and to not leave behind all bounty hunters?

Analysis of DAOstack bounty participants (report) has shown that users with scores less than 10 can be considered as bots. Such users have 4 personal tweets and a 40-minute difference between posts (36 posts per day) on average.
People with scores more than 10 and less than 20 can be considered as quantitative hunters. They have much more personal tweets (23), but the posting difference is approximately equal to the bots’ value.
Half of the people (566 participants) have a score greater than 27 (update). Starting from a score of 30, average personal tweets count increases to 44 and the posting difference goes to 360 minutes (4 posts per day). The score of 30 would be the optimal value for most Twitter campaigns – a significant part of bounty hunters will remain, they will get paid at least twice as much and BMs work will decrease by the same amount.


How to get your personal score in TwitterScoring? (Guides)
1. Click on the profile icon on the left side of the search bar.
2. Authorize with Twitter.
3. Click on the update button.
4. Wait for your profile to be checked.
5. If everything is OK, you will see “Status: Updated”. The first update is free, after that you will need to pay 0.5$ (in ETH) to update your profile again. Active status remains for 1 month.

If you’d like to check your friends’ or bounty hunters’ profiles, then just type a username in the search bar and submit it. (Multi-search)

Thanks for you reply.

I've pondered over this and decided to implement checking profiles for following back. Followback accounts will get lower scores and they will be specially marked. This will be released soon.

TwitterScoring is not designed as a crypto related service, the only thing that connects it with crypto is ETH payments. So, the app can be used by usual people not closely bonded with crypto and such criterion like cryptocurrency engagement may not be of interest to them, but something like the most related profile tags may appear, which will show a profile orientation and will not affect the profile score.

No, there is no any cost.
You can check bounty participants' profiles manually using the TwitterScoring search or automatically (soon) through a special page it.

Only read permissions. Nothing suspicious.

All connected profiles have been automatically updated.
A new analysis of DAOstack bounty participants has shown a downgrade in the total score of many users.
Current average score is 23 (previous - 27).

TwitterScoring is designed as a free service for managers and their only task is to notify bounty hunters about it in rules of Twitter campaigns.
But those managers who do not want to introduce TwitterScoring among their participants can order a report that includes user scores and other related information (you can specify what to add/remove).


Minimum number of Twitter accounts per order is 100. Price per one user is changing from 0.1$ (100 users) to 0.05$ (1000 users). The more you order the less you pay per single account. Starting from 1000 users, the price is fixed at 0.05$ per user. Use the price calculator to estimate the cost of your order. Payments are accepted only in cryptocurrencies.


You can also test the service for free on your Twitter accounts. Send me a message with a list of Twitter usernames/links (up to 3000) to get your report.