As of December 2022, X/Twitter's audience accounted for over *** million monthly active users worldwide. This figure was projected to ******** to approximately *** million by 2024, a ******* of around **** percent compared to 2022.

As of October 2025, social network X (formerly known as Twitter) was most popular in the United States, with an audience reach of approximately 99.04 million users. Japan ranked second, recording more than 71 million users on the platform. Global Twitter usage As of the second quarter of 2021, X/Twitter had 206 million monetizable daily active users worldwide. The most-followed Twitter accounts include figures such as Elon Musk, Justin Bieber and former U.S. president Barack Obama. X/Twitter and politics X/Twitter has become an increasingly relevant tool in domestic and international politics. The platform has become a way to promote policies and interact with citizens and other officials, and most world leaders and foreign ministries have an official Twitter account. Former U.S. president Donald Trump used to be a prolific Twitter user before the platform permanently suspended his account in January 2021. During an August 2018 survey, 61 percent of respondents stated that Trump's use of Twitter as President of the United States was inappropriate.

This is the breakdown of Twitter users by age group.

The platform is male-dominated with 68.1% of all Twitter users being male. Just 31.9% of Twitter users are female.

The US has historically been the target country for Twitter since its launch in 2006. This is the full breakdown of Twitter users by country.

As of the first quarter of 2019, X/Twitter averaged 330 million monthly active users, a decline from its all-time high of 336 MAU in the first quarter of 2018. As of the first quarter of 2019, the company switched its user reporting metric to monetizable daily active users (mDAU). X/Twitter X/Twitter is a social networking and microblogging service, enabling registered users to read and post short messages called tweets. X/Twitter messages are limited to 280 characters and users are also able to upload photos or short videos. Tweets are posted to a publicly available profile or can be sent as direct messages to other users. Part of the social platform’s appeal is the ability of users to follow any other user with a public profile, enabling users to interact with celebrities who regularly post on the social media site. Currently, the most-followed person on Twitter is singer Katy Perry with more than 107 million followers. Twitter has also become an important communications channel for governments and heads of state – U.S. President Donald Trump was the most-followed world leader on Twitter, followed by Pope Francis and Indian Prime Minister Narendra Modi. Despite the widespread usage among the rich and famous, the decline in active users has not been impressing investors as the platform is largely reliant on delivering advertising to users in order to generate revenues. Twitter’s company revenue in 2018 amounted to three billion U.S. dollars, up from 2.44 billion in the preceding fiscal year. Twitter was only recently able to report a positive annual result for the first time, when the company generated 1.2 billion U.S. dollars in net income in 2018.

In early 2025, something fascinating happened at a small community center in suburban Ohio. A town hall meeting about local road closures suddenly went viral, not because of the topic, but because a 74-year-old attendee live-tweeted the entire event using her iPad. Within hours, her posts racked up thousands of...

These are the key Twitter user statistics that you need to know.

Between July and December 2024, over 335 million accounts on X (formerly Twitter) were suspended for reasons of spam or platform manipulation. User-informed labels were added to 66 million posts after being reported for spam.

The US has the largest number of Twitter users with over a 100 million users. They account for about 16.7% of all Twitter users worldwide.

We collected the data of a Twitter user using Tweepy to access the Twitter API. We crawled the list of each user account’s followers. Twitter allowed a request of a maximum of 200 tweets per time window and because of limitations of the Twitter API, we could only make a request every 15 minutes. Next, we obtained the most recent tweets of each user in the study. We extracted the most common hashtags used in the sample tweets and crawled the most recent 50 tweets that contained each hashtag and tweets that mentioned a particular user, for example ’@username.’ Initially, we chose 101 user accounts and documented the attributes of each user’s account (number of followers, a list of followers, and the recent tweets of each follower).

The number of Twitter users in France was forecast to continuously increase between 2024 and 2028 by in total *** million users (+**** percent). After the ninth consecutive increasing year, the Twitter user base is estimated to reach ***** million users and therefore a new peak in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to *** countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of Twitter users in countries like Luxembourg and Netherlands.

With over 611 million monthly active users, building a huge Twitter following is not an easy task. These are the top 25 accounts with the most followers on Twitter right now.

X/Twitter has experienced a turbulent year since Elon Musk came close to purchasing the company, which has in turn raised concerns about the number of bots on the platform. Nevertheless, user numbers have continued to rise. In the last reported quarter, the number of global monetizable daily active users (mDAU) on X/Twitter amounted to 237.8 million users, up from 229 million mDAU in the previous quarter.

Overall, this is an increase in mDAU of over 15 percent when compared to the same quarter of the previous year. In addition, monetizable daily active users in the United States also increased, and throughout June and July 2022, X Premium rolled out an increase in the cost of its membership for new subscribers.

Who is using X/Twitter?

As of the beginning of 2022, men made up 56.4 percent of all X/Twitter users worldwide. Users between the ages of 25 and 34, who accounted for 38.5 percent of X/Twitter's global audience, made up the largest audience share. Moreover, one-fifth of users worldwide were between the ages of 35 and 49, indicating that the platform is not so popular amonst younger audiences. In 2021, Generation Z X/Twitter users in the United States spent more time on other major social networks, such as TikTok, YouTube, and Instagram than they did on Twitter.

X/Twitter and advertising

In 2021, X/Twitter’s annual revenue increased steeply, generating more than five billion U.S. dollars in total, with the vast majority of revenue coming from advertising. Overall, almost a quarter of global marketers said they planned to increase their spending on X/Twitter in 2022, whilst the majority said they did not plan to change their expenditure on the platform. In recent years, X/Twitter almost tripled its advertising expenditure, boosting ad spending from 56 million U.S. dollars in 2020 to over 167 million U.S. dollars in 2021.

Context

This data was created using Twitter's publicly available Russian information operations datasets as well as legitimate users scraped from Twitter's API and filtered for bots using the Botometer API.

Content

The user csv contains identifying user information fields created from their tweets as well as a column with a Bag of Words created from the aggregate of their tweet content. The tweet csv contains a sample of 2000-3000 tweets per user. The legitimate user tweets are primarily from 2020, while the Russian information operations tweets primarily range from 2014-2017. ### Context

This data was created using Twitter's publicly available Russian information operations datasets as well as legitimate users scraped from Twitter's API and filtered for bots using the Botometer API.

Content

The user csv contains identifying user information fields created from their tweets as well as a column with a Bag of Words created from the aggregate of their tweet content. The tweet csv contains a sample of 2000-3000 tweets per user. The legitimate user tweets are primarily from 2020, while the Russian information operations tweets primarily range from 2014-2017. All identifying user information has been hashed for anonymity.

-This Dataset was gathered by crawling Twitter's REST API using the Python library tweepy 3. This dataset contains the tweets of the 20 most popular twitter users (with the most followers) whereby retweets are neglected. These accounts belong to public people, such as Katy Perry and Barack Obama, platforms, YouTube, Instagram, and television channels shows, e.g., CNN Breaking News and The Ellen Show. -Consequently, the dataset contains a mix of relatively structured tweets, tweets written in a formal and informative manner, and completely unstructured tweets written in a colloquial style. Unfortunately, the geocoordinates were not available for those tweets. - H -This Dataset has been used to generate reserach paper under title "Machine Learning Techniques for Anomalies Detection in Post Arrays". -Crawled attributes are: Author (Twitter User), Content (Tweet), Date_Time, id (Twitter User ID), language (Tweet Langugage), Number_of_Likes, Number_of_Shares. Overall: 52543 tweets of top 20 users in twitter Screen_Name #Tweets Time span (in days) TheEllenShow 3,147 - 662 jimmyfallon 3,123 - 1231 ArianaGrande 3,104 - 613 YouTube 3,077 - 411 KimKardashian 2,939 - 603 katyperry 2,924 - 1,598 selenagomez 2,913 - 2,266 rihanna 2,877 - 1,557 BarackObama 2,863 - 849 britneyspears 2,776 - 1,548 instagram 2,577 - 456 shakira 2,530 - 1,850 Cristiano 2,507 - 2,407 jtimberlake 2,478 - 2,491 ladygaga 2,329 - 894 Twitter 2,290 - 2,593 ddlovato 2,217 - 741 taylorswift13 2,029 - 2,091 justinbieber 2,000 - 664 cnnbrk 1,842 - 183

Context

This dataset contains tweets and embeddings of the top 1000 Twitter celebrity accounts

Content

1. Tweets -

   • Contains 915 celebrity users' tweets
   • The tweets were scraped using tweepy - a python wrapper of Twitter API; following this celebrity list
   • Top 1000 Twitter Celebrity Accounts

2. Embeddings -

   • A single CSV file containing embeddings of all tweets (each user per row)
   • After preprocessing the tweets, the tweets were embedded using sentence-transformers pre-trained multilingual model - paraphrase-multilingual-MiniLM-L12-v2.
   • You can also find the embedding data here - Twitter Celebrity Embed Data

NB: - There are almost 10% of the Twitter accounts were private, changed their username, or suspended. In the end, the number of users remains 915. - There are some unofficial Celebrity accounts (ex - twitter.com/sonunigam) with a very small amount of tweets. We can filter those users based on their tweet count. Here is a good research paper on this topic - 25 Tweets to Know You: A New Model to Predict Personality with Social Media

Featured Notebook

• Twitter Celebrity Matcher (SBERT+ Tweepy)

Live App

GitHub Project

• ahmedshahriar/TwitterCelebrityMatcher

Download

kaggle API Command

!kaggle datasets download -d ahmedshahriarsakib/top-1000-twitter-celebrity-tweets-embeddings

Disclaimer

The tweets which were scraped are all publicly available and it's intended for educational purposes only.

Acknowledgement

Cover image credit - bestfunquiz- Which Celebrity On Twitter Should Follow You

One of the biggest advantages of Twitter is the speed at which information can be passed around. People use Twitter primarily to get news and for entertainment. This is the breakdown of why people use Twitter today.

The Famous Words Twitter Dataset is a comprehensive collection of tweets associated with famous words. The dataset provides valuable insights into the social media engagement and popularity of these words on the Twitter platform. It includes three primary columns: keyword, likes, and tweets.

The keyword column represents the specific famous word or phrase associated with each tweet. It allows researchers and analysts to explore the dynamics of user interactions and discussions surrounding these popular terms on Twitter.

The likes column indicates the number of likes received by each tweet. This metric serves as an indicator of the tweet's popularity and resonation among Twitter users.

The tweet column contains the actual tweet text, capturing the content and context of user-generated messages related to the famous words. This column provides valuable qualitative data for sentiment analysis, topic modeling, and other natural language processing tasks.

Researchers, data scientists, and social media analysts can leverage this dataset to study various aspects, such as tracking trends, sentiment analysis, understanding user engagement patterns, and identifying influential topics associated with famous words on Twitter.

Topics: "COVID-19", "Vaccine", "Zoom", "Bitcoin", "Dogecoin", "NFT", "Elon Musk", "Tesla", "Amazon", "iPhone 12", "Remote work", "TikTok", "Instagram", "Facebook", "YouTube", "Netflix", "GameStop", "Super Bowl", "Olympics", "Black Lives Matter" "India vs England", "Ukraine", "Queen Elizabeth", "World Cup", "Jeffrey Dahmer", "Johnny Depp", "Will Smith", "Weather", "xvideo", "porn", "nba", "Macdonald",

Total has 128837 tweets, and here are the plot for each number of tweets for different keyword

https://i.imgur.com/z4xbbyt.png" alt="">

Note: The dataset is carefully curated, anonymized, and stripped of any personally identifiable information to protect user privacy.

This is a CSV file containing Tweet IDs of 3,805 Tweets from user ID 25073877 posted publicly between Thursday February 25 2016 16:35:12 +0000 to Monday April 03 2017 12:51:01 +0000.This file does not include Tweets' texts nor URLs. Columns in the file areid_strfrom_user_id_str created_at time source user_followers_count user_friends_count Motivations to Share this DataArchived Tweets can provide interesting insights for the study of contemporary history of media, politics, diplomacy, etc. The queried account is a public account widely agreed to be of exceptional national and international public interest. Though they provide public access to tweeted content in real time, Twitter Web and mobile clients are not suited for appropriate Tweet corpus analysis. For anyone researching social media, access to the data is absolutely essential in order to perform, review and reproduce studies. Archiving Tweets of public interest due to their historic significance is a means to both preserve and enable reproducible study of this form of rapid online communication that otherwise can very likely become unretrievable as time passes. Due to Twitter's current business model and API limits, to date collecting in real time is the only relatively reliable method to archive Tweets at a small scale. Methodology and LimitationsThe Tweets contained in this file were collected by Ernesto Priego using a Python script. The data collection search query was from:realdonaldtrump. A trigger was scheduled to collect atuomatically every hour. The original data harvesting was refined to delete duplications, to subscribe to Twitter's Terms and Conditions and so that the data was sorted in chronological order.Duplication of data due to the automated collection is possible so further data refining might be required. The file may not contain data from Tweets deleted by the queried user account immediately after original publication. Both research and experience show that the Twitter search API is not 100% reliable. (Gonzalez-Bailon, Sandra, et al. 2012).Apart from the filters and limitations already declared, it cannot be guaranteed that this file contains each and every Tweet posted by the queried account during the indicated period. This file dataset is shared for archival, comparative and indicative educational research purposes only. The content included is from a public Twitter account and was obtained from the Twitter Search API. The shared data is also publicly available to all Twitter users via the Twitter Search API and available to anyone with an Internet connection via the Twitter and Twitter Search web client and mobile apps without the need of a Twitter account.The original Tweets, their contents and associated metadata were published openly on the Web from the queried public account and are responsibility of the original authors. Original Tweets are likely to be copyright their individual authors but please check individually.No private personal information is shared in this dataset. As indicated above this dataset does not contain the text of the Tweets. The collection and sharing of this dataset is enabled and allowed by Twitter's Privacy Policy. The sharing of this dataset complies with Twitter's Developer Rules of the Road.This dataset is shared to archive, document and encourage open educational research into political activity on Twitter.Other ConsiderationsAll Twitter users agree to Twitter's Privacy and data sharing policies. Social media research remains in its infancy and though work has been done to develop best practices there is yet no agreement on a series of grey areas relating to reseach methodologies including ad hoc social media specific research ethics guidelines for reproducible research. Though these datasets have limitations and are not thoroughly systematic, it is hoped they can contribute to developing new insights into the discipline's presence on Twitter over time. Reproducibility is considered here a key value for robust and trustworthy research. Different scholarly professional associations like the Modern Language Association recognise Tweets, datasets and other online and digital resources as citeable scholarly outputs.The data contained in the deposited file is otherwise available elsewhere through different methods.