Twitter is ranked as the 12h most popular social media site in the world. The platform currently has 611 million active monthly users.

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.

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.

Social network X/Twitter is particularly popular in the United States, and as of April 2024, the microblogging service had an audience reach of 106.23 million users in the country. Japan and the India were ranked second and third with more than 69 million and 25 million users respectively. 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.

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

As of December 2022, X/Twitter's audience accounted for over 368 million monthly active users worldwide. This figure was projected to decrease to approximately 335 million by 2024, a decline of around five percent compared to 2022.

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.

These Twitter user statistics will give you the complete story of where Twitter is at today and what the future looks like for the social media company.

As of September 2023, it was found that 42 percent of adults in the United States aged between 18 and 29 years used X (formerly Twitter). This age group was the microblogging service’s biggest audience in the United States, followed by a 27 percent usage reach among 30 to 49-year-olds. X users in the United StatesAs of the first quarter of 2019, Twitter had 68 million monthly active users in the United States. In the fourth quarter of 2020, the number of monetizable daily active Twitter users in the country amounted to 37 million. As of January 2021, 61.6 percent of U.S. Twitter audiences were male and 38.4 percent were female. According to a February 2019 survey of social media users in the United States, Twitter was the most popular social network for news consumption. X usage in the United StatesTwitter is popular among users looking to catch up and chime in on current and trending topics and live-tweet about events and media. Live-tweeting television series or sporting events is a popular user activity and in 2018, the most popular television series based on average number of Twitter interactions per episode was ABC’s ‘The Bachelor’. In terms of global sporting events, it does not get much bigger than the Olympic Games. During the Winter Olympics in PyeongChang 2018, Twitter accounted for 50 percent of stakeholder posts during the Winter.

This is the breakdown of Twitter users by age group.

Advertising makes up 89% of its total revenue and data licensing makes up about 11%.

-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

Utilize our Tweets dataset for a range of applications to enhance business strategies and market insights. Analyzing this dataset offers a comprehensive view of social media dynamics, empowering organizations to optimize their communication and marketing strategies. Access the full dataset or select specific data points tailored to your needs. Popular use cases include sentiment analysis to gauge public opinion and brand perception, competitor analysis by examining engagement and sentiment around rival brands, and crisis management through real-time tracking of tweet sentiment and influential voices during critical events.

As of August 2023, X (formerly Twitter) CEO Elon Musk was the most followed person on the platform, with little over 140 million followers. Additionally, former U.S. President Barack Obama amassed 132 million followers on the micro-blogging service. In April 2023, Musk changed Twitter's legal name to X Corp.

Celebrities and Twitter

Founded in 2006 as Twitter, X is an online social networking and microblogging service that allows users to post text-based status updates and messages of up to 280 characters in length. As of the fourth quarter of 2020, X had 192 million monetizable daily active users (mDAU) worldwide.

X provides a near-instant access channel to celebrities. The majority of the top ten most-followed X accounts are entertainers who use the medium to communicate with fans, spread relevant news regarding their work or work on their public image. The near-instant gratification through a stream of direct updates from celebrities or personalities as well as the feeling of belonging to a particular group of fans is a popular reason for social media users to use X. In order to establish authenticity of identity on X, accounts of people from high-interest areas such as music, fashion, entertainment, politics, media, business or other areas as well as individuals at high risk of impersonation are verified by X. The verification badge symbolizes that the account is maintained by a legitimate source.

Major sporting events and industry award shows such as the Super Bowl, the Grammy Awards or Academy Awards generate lots of online buzz on X. The online discussion allows users to participate in the success of celebrities who often post behind-the-scenes photo tweets or commentaries. On-set or in-concert tweets are further methods of celebrities enhancing their appeal, and level of fan interaction.

Utilize our Twitter dataset for diverse applications to enrich business strategies and market insights. Analyzing this dataset provides a comprehensive understanding of social media trends, empowering organizations to refine their communication and marketing strategies. Access the entire dataset or customize a subset to fit your needs. Popular use cases include market research to identify trending topics and hashtags, AI training by reviewing factors such as tweet content, retweets, and user interactions for predictive analytics, and trend forecasting by examining correlations between specific themes and user engagement to uncover emerging social media preferences.

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

This is a dataset of tweets from various active scientists and personalities ranging from Donald Trump and Hillary Clinton to Neil deGrasse Tyson. More are forthcoming.

They were obtained through javascript scraping of the browser twitter timeline rather than a Tweepy python API or the twitter timeline API.

The inspiration for this twitter dataset is comparing tweets in my own twitter analysis to find who tweets like whom, e.g. does Trump or Hillary tweet more like Kim Kardashian than one another?

Thus, this goes further back in time than anything directly available from Twitter.

The data is in JSON format rather than CSV, which will be forthcoming as well.

Kim Kardashian, Adam Savage, BillNye, Neil deGrasse Tyson, Donald Trump, and Hillary Clinton have been collected up to 2016-10-14 Richard Dawkins, Commander Scott Kelly, Barack Obama, NASA, and The Onion, tweets up to 2016-10-15.

For your own pleasure, with special thanks to the Trump Twitter Archive for providing some of the code, here is the JavaScript used to scrape tweets off of a timeline and output the results to the clipboard in JSON format:

1) Construct the query with from:TWITTERHANDLE since:DATE until:DATE

2) In the browser console set up automatic scrolling with: setInterval(function(){ scrollTo(0, document.body.scrollHeight) }, 2500)

3) Scrape the resulting timeline with: var allTweets = []; var tweetElements = document.querySelectorAll('li.stream-item');

for (var i = 0; i < tweetElements.length; i++) { try { var el = tweetElements[i]; var text = el.querySelector('.tweet-text').textContent; allTweets.push({ id: el.getAttribute('data-item-id'), date: el.querySelector('.time a').textContent, text: text, link: el.querySelector('div.tweet').getAttribute('data-permalink-path'), retweet: text.indexOf('"@') == 0 && text.includes(':') ? true : false }); } catch(err) {} }; copy(allTweets);

Have fun!

The most liked tweet of all time was posted on American Actor Chadwick Boseman's Twitter account by his family members in August 2020 after his passing. As of January 2023, the post had seven million likes. Ranking second was a tweet by Elon Musk from April 2022, suggesting he would purchase Coca-Cola. Former U.S. President Barack Obama's 2017 tweet which stated "No one is born hating another person because of the color of his skin or his background or his religion..." has gained four million likes and 1.4 million retweets. Swedish environmental activist Greta Thunberg had two top ranking tweets as of January 2023. Ranking forth, a tweet from Thunberg which was published on December 27th 2022, was a response to American-British media personality Andrew Tate. Tate tweeted Greta and requested an email address to which he could submit a list of his collection of cars and each one's corresponding emissions, resulting in Thunberg's comeback gaining almost four million likes within a matter of days.

Dataset Title: PPP and PTI Twitter Trend Analysis

Overview This dataset encompasses a collection of 1184 tweets from the Twitter trend "PPP and PTI," capturing a snapshot of public discourse and sentiment regarding Pakistan's prominent political entities: the Pakistan Peoples Party (PPP) and Pakistan Tehreek-e-Insaf (PTI). It provides a diverse range of perspectives and reactions from Twitter users, making it an invaluable resource for political analysts, data scientists, and researchers interested in political sentiment analysis, social media analytics, and digital humanities.

Dataset Description The dataset is structured into seven columns, each offering distinct insights into the tweets collected:

• UserTag: The Twitter handle of the user who posted the tweet.
• TimeStamp: The date and time when the tweet was posted, providing temporal context to the data.
• Current_Date: The date when the data was collected, ensuring traceability and relevance. -**Tweet Body**: The actual content of the tweet, encapsulating the message, sentiment, and topics discussed by the user. This column is central to text analysis, sentiment detection, and thematic studies.
• Reply: The number of replies to the tweet, indicating engagement and conversational depth.
• Retweet: The number of retweets, reflecting the tweet's reach and virality within the Twitter community.
• Likes: The number of likes, serving as a proxy for the tweet's popularity and user agreement.
• Views: An estimate of how many times the tweet was viewed, offering insights into its impact and visibility.

Potential Uses This dataset can serve a wide range of purposes, including but not limited to: 1. Sentiment analysis to gauge public opinion regarding PPP and PTI. 2. Temporal analysis to identify trends and shifts in public sentiment over time. 3. Network analysis to explore interactions and the spread of information among users. 4. Comparative analysis between the engagement and popularity of tweets related to PPP vs. PTI.

Methodology The tweets were collected using Selenium WebDriver, ensuring a comprehensive and unbiased selection of tweets related to the "PPP and PTI" trend. Care was taken to include tweets from various times of the day to capture a broad spectrum of user engagement and opinions.

Ethical Considerations All data was collected and presented in accordance with Twitter's data use policies and ethical guidelines for research.

Acknowledgments This dataset was created by Aqeel Khan, a student of BS Mathematics at Namal University Mianwali, with a keen interest in data science and machine learning. The dataset compilation was aimed at facilitating research and analysis in the domains of political science, social media analytics, and data science.

License This dataset is shared for educational and research purposes. Users of the dataset are encouraged to cite the source and adhere to Twitter's terms of service regarding the use of shared data.

In 2020, Bleacher Report was the leading U.S. brand on Twitter with almost 212 million post-level retweets and likes. Second-ranked k-pop and k-drama news platform Scoompi generated nearly 102 million Twitter actions on content posts, a consequence of the increasingly mainstream popularity of Korean pop music in the United States.