How to analyze Twitter users' accounts and profiles?
How to analyze Twitter users' accounts?
A large part of Twitter is accompanied by a huge amount of data that anyone can get from it. Our tweets, our profiles, etc., anything can be turned into data. Twitter content is produced by users, so every user needs to have a Twitter account.
Twitter Account Analysis
Twitter usernames can contain
letters, numbers, and _ or -. Each Twitter username is unique and there cannot be
two identical accounts. A Twitter account must have a name and a username.
Anyone
who wants to join Twitter must follow the mandatory details. We need an email to
link our Twitter account. We must include a name and a unique Twitter username in
our account.
In addition to the details needed to join the social network,
there are statistics and data that make it easy to analyze Twitter profiles:
The blue mark:
Also known as the Twitter
verification symbol. If we search for JK Rowling in the Twitter search options, we
may get a lot of results. However, we know that @jk_rowling is good because it has a
blue verification marker.
Description:
It gives an
idea of the content or interests that the user has. We can also get an idea of the
personality of the person behind the account.
Date of creation of
the Twitter user:
In this way we can know if the user has been
posting for a long time or if it is a new member of the social network.
Number of followers:
This is just a number, but it
gives an indication of how interesting the tweets are or the popularity of the
Twitter profile. This is closely related to the time when the Twitter account was
created.
How many accounts are followed by the account:
Twitter is a platform for sharing information and chatting, and it is
important to follow other accounts. This can also be a basis for determining whether
an account is a machine account or a fake account.
There are additional
facts that can be part of a Twitter profile, such as birthdays or links, and very
importantly, profile pictures.
Why analyze Twitter users' profiles?
Social media is used by some countries, politicians and foreign powers. They achieve their goal of influencing the political ecology of other countries by manipulating political bots and spreading a lot of induced disinformation to mislead public ideology in the political sphere. Twitter is frequently encountered in open source intelligence analysis, which is now often required to analyze a particular Twitter account in order to uncover the means and paths used by external forces to manipulate social media for propaganda purposes.
How to analyze Twitter users' profiles?
What you may have thought of doing is opening the
profile of the account you want to analyze and then checking its content and its
results.
However, this method can be a very time-consuming and tedious
process. Especially if you want to monitor several different Twitter profiles on a
regular basis.
While this will allow you to analyze some data, they will not
be aggregated in any way. So, for example, you will be able to see the number of
likes, comments, or retweets for each tweet, but you won't know the total monthly
engagement or top tweets. And you would have to keep scrolling for hours to get a
sense of the person's strategy or position.
Perhaps you're asking if Twitter
Analytics can do that. However, you can only access your own performance there, not
the Twitter Analytics results of other users.
Whether you want to do a full
Twitter audit or just a quick comparative analysis, you can choose a third-party
social media analytics tool and you will be able to discover a wealth of insights
about other users' Twitter profiles. Here's a recommendation for
Knowlesys Intelligence
System, a comprehensive social media analytics system. The company is at the
world's leading level in the field of Internet information collection. With years of
experience, it has analyzed and processed thousands of websites and has unique
experience in social media information collection. Knowlesys Intelligence System
will help clients mine massive information from social media and turn them into
actionable intelligence by automatic analysis and manual processing. It enables
users to monitor the entire web in a timely manner.