Query: 🇺🇸, 🏳️🌈, 🇲🇽, 🇵🇷, 🇺🇦
The graph depicts the prevalence of active American Twitter users whose profile bio contained each word/phrase/emoji per each year.
To submit a new query, return to the form.
Read more about Jason Jeffrey Jones Identity Trends V2.
Visit Ipseology Central to learn about the study of human identity using large datasets and computational methods
Questions You May Have
You are seeing the prevalence of American Twitter users whose profile bio contained each word/phrase/emoji you searched for in the years 2012-2023.
- Think of this as the "popularity" of a word within American Twitter users' profile bios. Precisely, this is the value 10,000 * (count of profiles containing word / count of ALL profiles) rounded to the nearest integer. You should interpret prevalence as the number of users per 10,000 unique users who had a profile containing your search term. It is nice to work with prevalence, because people (even you) are bad at fractions and decimals. All incidences are small compared to the total user count, because each user may use only a few words to describe themselves.
- American Twitter users
- Users are found in randomly sampled public tweets from the Twitter API sample/stream endpoint. The users counted here are those who have tweeted, had their tweet sampled, and whose self-entered 'location' field was a US state, city, area code or other likely indicator of a US geographical location.
- Profile Bio
- Users are prompted at sign-up to 'Describe themselves in 160 characters or less.' Users can edit their bio at any time. This field is called the 'description' in the Twitter API's User object.
For a quick, one-page introduction, read the About page.
For more depth and to see a practical application, read my peer-reviewed research article with Nick Rogers titled Using Twitter Bios to Measure Changes in Self-Identity: Are Americans Defining Themselves More Politically Over Time?
For detail on the Longitudinal Online Profile Sampling (LOPS) method read my peer-reviewed research article A dataset for the study of identity at scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio 2015–2020. Note that this version (V2) covers the years 2012-2023!
Jason Jeffrey Jones is me: Dr. Jason Jeffrey Jones.
I am the director of the Computational Social Science of Emerging Realities Group. We use the methods of computational social science to study human behavior at scale.
But why is your name in the title? 1) It makes the title unique, easier-to-remember and search for. 2) My favorite video game of all time is Sid Meier's Alpha Centauri, and this anecdote about the name has stuck with me every since I read about it.
Yes, I do have a public Twitter account with an American location.