Demographic data prediction is powered by Demografy AI that extracts demographic data from names with 100% coverage, accuracy preview before purchase and GDPR-compliance.

Demografy is a privacy by design customer demographics prediction AI platform.

Use cases: - Social Media analytics and user segmentation - Competitor analysis - Actionable analytics about your customers to get demographic insights - Appending missing demographic data to your records for customer segmentation and targeted marketing campaigns - Enhanced personalization knowing you customer better

Core features: - Demographic segmentation - Demographic analytics - API integration - Data export

Key advantages: - 100% coverage of lists - Accuracy estimate before purchase - GDPR-compliance as no sensitive data is required. Demografy can work with only first names or masked last names

Unlike traditional solutions, you don’t need to know and disclose your customer or prospect addresses, emails or other sensitive information. You need only names of social media users. This makes Demografy privacy by design and enables you to get 100% coverage of your audience since all you need to know is names.

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.

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.

This statistic provides information on the most popular luxury brands on Twitter, ranked by number of followers. In 2020, the French luxury brand Chanel was ranked first with 13 million Twitter followers, followed by Burberry, Dior, and Louis Vuitton with 8 million followers each.

Approximately *** million users worldwide followed the X (formerly Twitter) account of the Ukrainian President Volodymyr Zelenskyy (@ZelenskyyUa) as of January 28, 2025. The follower count increased tenfold between January and February 2022 after Russia invaded Ukraine on February 24, 2022. Zelenskyy, who won the presidential election in April 2019, opened an X account in the same month. Zelenskyy publishes posts in Ukrainian and English.

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

The number of X (Twitter) followers of the Major League Baseball team Philadelphia Phillies increased substantially from September 2011 to November 2024. In the last recorded month, the team's social media account had around 2.14 million followers.

This is the breakdown of Twitter users by age group.

On December 28th, 2022, American-British media personality Andrew Tate directed a tweet at Swedish activist Greta Thunberg, boasting a list of his car collection and respective emissions. Thunberg replied with a tweet that rocketed her post into being one of the most popular tweets of all time. In retaliation, Tate posted a video on YouTube on 29th December, shortly before his arrest by Romanian authorities. The social media battle resulted in an uptake in followers for both parties. As of January 1st, 2023, Thunberg amassed over 5.8 million followers on the microblogging platforms, whilst Tate had 4.5 million followers.

Statistics on the number of tweets, number of followers, number of likes, number of retweets and number of people reached per month since October 2020 for the official Twitter account of the Ministry of Foreign Affairs

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

When Lisa Johnson opened her bakery in Chicago in early 2024, she didn’t expect that one viral tweet about her pistachio cruffins would transform her side hustle into a full-fledged business. But that’s exactly what happened, just a single post on X (formerly Twitter) brought in thousands of new followers,...

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.

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.

This dataset contains statistics related to the Unleashed Twitter account (@SAUnleashed). Unleashed is an open data competition, an initiative of the Office for Digital Government, Department of the Premier and Cabinet. The data is used to monitor the level of engagement activity with the audience, and make the communication effective in regards to the event.

With around 4.65 million followers, the New England Patriots was the most followed National Football League team account on X (Twitter) as of November 2024. In second place was the Dallas Cowboys, with around 4.42 million followers on their social media account.

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

Rihanna's Tweets

Tracking Her Social Media Presence and Influence

By Twitter [source]

About this dataset

This dataset offers an exhaustive and in-depth look into the online activities, engagement habits, and social media presence of singer, artist and businesswoman Rihanna. It includes a comprehensive collection all of tweets released by Rihanna between given start and end dates, including their timestamps, any attached media, their like count, retweet count, quotes or URLs included. These insights provide invaluable understanding into what topics she talks about most often on Twitter , which content is most likely to generate greater user engagement from her followers, as well as other trends in her communication with the public. Researchers can use this data to make informed decisions about Rihanna's online performance in real time – making it essential for any marketer or fan who wishes to better understand the impact and success of the star's social efforts

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How to use the dataset

This dataset provides an in-depth look at the engagement patterns, conversation dynamics, and social media presence of singer, artist and businesswoman Rihanna on Twitter. It consists of a collection of all the tweets sent out by Rihanna between the specified start and end dates. The data provides insight into what Rihanna is tweeting about, how she engages with her audience, and how her conversations evolve over time. This dataset is great for understanding Rihanna's impact and success on social media in real-time.

Research Ideas

• Analyzing Rihanna’s Tweet Engagement: Using this dataset, researchers can analyze the like and retweet counts of Rihanna's tweets to assess which subject/topics receive more positive engagement from her followers. This information can be used by marketers or businesses looking to build an effective social media campaign with Rihanna at its center.
• Identifying Certain Types of Content That Generate Higher Engagement Rates: By exploring this dataset, researchers can identify certain trends and patterns when it comes to certain types of content that generate the highest levels of engagement on Twitter (e.g., photos vs videos, quotes vs plain text tweets). This insight would be useful for any business trying to optimize their Twitter presence in order to gain more followers and higher levels of engagement overall.
• Analyzing Conversation Dynamics: This dataset also provides researchers with insights into how conversations evolve over time when it comes to social interactions between Rihanna and her followers as well as between different users who tag her in their own tweets or retweet her content directly. Researchers could use this data to identify conversation dynamics such as which topics are being discussed most often or what type of language is being used by participants in the conversation surrounding a particular hashtag or theme related to Rihanna's work at any given moment in time

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit Twitter.

This paper specifies, designs and critically evaluates two tools for the automated identification of demographic data (age, occupation and social class) from the profile descriptions of Twitter users in the United Kingdom (UK). Meta-data data routinely collected through the Collaborative Social Media Observatory (COSMOS: http://www.cosmosproject.net/) relating to UK Twitter users is matched with the occupational lookup tables between job and social class provided by the Office for National Statistics (ONS) using SOC2010. Using expert human validation, the validity and reliability of the automated matching process is critically assessed and a prospective class distribution of UK Twitter users is offered with 2011 Census baseline comparisons. The pattern matching rules for identifying age are explained and enacted following a discussion on how to minimise false positives. The age distribution of Twitter users, as identified using the tool, is presented alongside the age distribution of the UK population from the 2011 Census. The automated occupation detection tool reliably identifies certain occupational groups, such as professionals, for which job titles cannot be confused with hobbies or are used in common parlance within alternative contexts. An alternative explanation on the prevalence of hobbies is that the creative sector is overrepresented on Twitter compared to 2011 Census data. The age detection tool illustrates the youthfulness of Twitter users compared to the general UK population as of the 2011 Census according to proportions, but projections demonstrate that there is still potentially a large number of older platform users. It is possible to detect “signatures” of both occupation and age from Twitter meta-data with varying degrees of accuracy (particularly dependent on occupational groups) but further confirmatory work is needed.

Who is Charlie Kirk?

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2F9ff49a3bb052e339eb85a66dca611f6c%2Fcharlie-kirk-turning-point2-91025-91025-a19b6183557949938f0dc01df2c33a28.jpg?generation=1757731111497297&alt=media" alt="">

Charles James Kirk (October 14, 1993 – September 10, 2025) was an American conservative political activist, author, and media personality. He co-founded the organization Turning Point USA (TPUSA) in 2012 and was its executive director. He was the chief executive officer of Turning Point Action (TPAction) and a member of the Council for National Policy (CNP). In his later years, he was one of the most prominent voices of the populist MAGA movement and exemplified the growth of Christian nationalism in the Republican Party.

From: https://en.wikipedia.org/wiki/Charlie_Kirk

CBS News' "Who was Charlie Kirk?"

https://www.youtube.com/watch?v=0xngCgJnO5E" alt="">

Death

On September 10, 2025, while on stage at Utah Valley University in Orem, Utah, for a TPUSA event, "The American Comeback Tour", Kirk was fatally shot in the neck. The shooting took place at 12:23 p.m. MDT (18:23 UTC), around 20 minutes after the event began, in front of an audience of about 3,000 people.

From: https://en.wikipedia.org/wiki/Charlie_Kirk

Coverage of this Dataset

• I queried tweets with either #CharlieKirk or "Charlie Kirk" in them within the last 36 hours.

Important Note

• All tagged usernames (ex: @username) and forms of Ids are obfuscated and replaced with a unique hashid value based on original value retaining data integrity
• Tagged usernames that have been banned, suspended, or deleted from the platform are still obfuscated

"Well-known" authors

I added a file to denote users who have posted tweets about the topic that have either characteristic(s) - Blue-certified accounts with at least 10K followers - Non-Blue-certified accounts with at least 50K followers

This is to help map back and include additional context on who these users that are being tagged or are creating the tweets

Source

I signed up for a trial with https://twitterapi.io/ , check it out!

Image

Credit : OLIVIER TOURON/ AFP via Getty