At the end of the most recently reported year, microblogging and social networking company X (formerly Twitter) employed 7,500 people, up from 5,500 people in the previous year.

X/Twitter's corporate demography

In 2020, the majority of X/Twitter'semployees were male with a share of 57 percent and of a white ethnicity with 41 percent. African American and Latinx ethnicities were severely underrepresented with only 6.5 and 5.4 percent share respectively of all employees at Twitter.

Distribution of X/Twitter employees by gender and department in 2020 is revealing. In tech departments, over 73 percent of employees were male. Men also dominated the leadership departments with 62 percent. X/Twitter was founded by Jack Dorsey, Noah Glass, Biz Stone and Evan Williams in March 2006 and since then, a man has always held top positions of chairman and CEO. The only department at X/Twitter whereby women were represented well was in the Non-tech departments. In 2017, women held 53.7 percent of non-tech roles. Other social media companies The gender landscape at Facebook in 2020 followed a similar vein. The distribution of Facebook employees worldwide by gender and department revealed that men dominated the tech departments with a 76 percent share and senior level positions with a 66 percent share.

Twitter is headquartered in San Francisco, California, USA, but has dozens of worldwide offices. This includes an office in Madrid, Spain. In 2019, this office employed ** workers, a small fraction of the company's global workforce.. This figure means a decrease by *** employee compared to 2018.

In March 2022, 20.8 percent of employees in leadership roles at Twitter were of Asian ethnicity, and 8.2 percent of employees in such roles were Black. As for technical roles, 7.5 percent of employees were of Latinx ethnicity and 3.8 percent identified as multi-racial. Overall, there were a total of 7,500 Twitter employees in 2021.

As of March 2022, 30.8 percent of Twitter employees were of Asian ethnicity. Overall, 8.4 percent of Twitter employees were of Latinx ethnicity. Additionally, the majority of employees were white. There were a total of 7,500 Twitter employees at the end of 2021.

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

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

This is the breakdown of Twitter users by age group.

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.

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

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

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.

Context

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The LockBit ransomware group on Tuesday published 1.5 terabytes of personal and financial information the group said it stole from Bank Syariah Indonesia after ransom negotiations broke down. The group said the records include the personal and financial information of about 15 million customers and employees of the country's largest Islamic bank. The state-owned bank came into existence in 2021 through the merger of three other nationalized banks. BSI operates more than 1,100 branches to serve nearly 18 million customers.

Bank Indonesia, the country's central bank, said on Thursday that under its supervision, BSI restored its real-time gross settlement, national clearing system, and Bank Indonesia Fast Payment services. BSI President and CEO Hery Gunardi on May 11 said ATMs and bank branch services were again available and it was carrying out "capacity building" to restore core banking and critical channels. Gunardi said the disruptions occurred on May 8 due to BSI carrying out "risk mitigation in the company's IT system by carrying out maintenance." The bank found indications of a cyberattack and "switched off several channels to ensure system security" he said.

LockBit responded that the bank had "brazenly lied to their customers and partners, reporting some kind of 'technical work' being carried out at the bank" when, in fact, its cyberattack had led to the disruptions. The ransomware group on Tuesday also published details of its conversations with bank representatives between May 8 and May 13. The screenshots reveal that the bank floated the possibility of paying $10 million to recover the stolen data. LockBit demanded $20 million before going silent. Indonesian Vice President Ma'ruf Amin said Monday that the BSI incident was a bad experience for the public, and he asked the bank to improve its technology to prevent further attacks.

Source: www.bankinfosecurity.com

Description

Twitter is a social media platform provides for people to share their opinions. With a large number of active users on Twitter, we can see variety of perspectives, opinions, and sentiment from different background users. Twitter plays a significant role in Natural Language Processing (NLP) with vast amount of textual data, language diversity, short and concise texts, and real-time data and trends.

Within the timeframe of May 8 to May 18, a total of 24,000 tweets were generated by Twitter users in response to the BSI Ransomware incident involving Bank Syariah Indonesia. This significant volume of tweets indicates the widespread attention and concern among the Twitter community regarding the cyberattack and its repercussions. People took to Twitter to express their opinions, share information, and discuss the incident, reflecting the platform's role as a real-time source of news and public discourse.

Columns

It contains the following 15 columns: 1. URL: This column contains the URL or link to the specific tweet on the Twitter platform. 2. Date: This column indicates the date and time when the tweet was posted. 3. Tweet: This column contains the text of the tweet itself. It includes the message or content posted by the Twitter user. 4. ID: This column represents the unique identifier assigned to each tweet by Twitter. 5. Username: This column displays the username or handle of the Twitter user who posted the tweet. 6. Replies: This column indicates the number of replies or responses that the tweet has received from other Twitter users. 7. Retweets: This column displays the number of times the tweet has been retweeted by other Twitter users. 8. Likes: This column shows the number of likes or favorites that the tweet has received from other Twitter users. 9. Quotes: This column indicates the number of times the tweet has been quoted by other Twitter users. 10. conversationID: This column represents the unique identifier for the conversation thread to which the tweet belongs. 11. Language: This column specifies the language in which the tweet is written. 12. Links: This column contains any URLs or hyperlinks shared within the tweet. 13. Media: This column indicates the presence of media attachments, such as images, videos, or GIFs, within the tweet. 14. Retweeted Tweet: This column displays the ID or reference to the original tweet that has been retweeted. 15. Bookmarks: This column may indicate the number of times the tweet has been bookmarked by other Twitter users.

Acknowledgement

This Dataset was Created with the help of the snscrape and Helmi Satria article.

Comparing number of scientists on Twitter and the size of the science workforce.

Description These files contain the data employed in the experiments described in Bruno Ordozgoiti and Aristides Gionis. 2019. Reconciliation k-median: Clustering with Non-Polarized Representatives. In Proceedings of the 2019 World Wide Web Conference (WWW’19), May 13–17, 2019, San Francisco, CA, USA. Twitter ID's have been anonymized. # Contents domain_mentions.txt: Each line contains a domain name, a user ID and the number of times this user has mentioned this domain name in a tweet. format: domain_name

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.

The cross-lingual natural disaster dataset includes public tweets collected using Twitter’s public API, filtering by location-related keywords and date, without using any additional filtering (e.g., we did not restrict the query to specific languages). We considered five disaster events between January 2020 and February 2021 that received substantial news coverage internationally.

All messages include a “language” field computed by Twitter us ing a language detection model developed specifically for tweets. We counted the number of messages per language in each event. Three of the top languages were common to all the studied events: English (ISO 639-1 code: en), Spanish (es), and French (fr). Additionally, we found several hundred messages for each event in other languages, including Catalan (ca), Tagalog (tl), Croatian (hr), German (de), Japanese (ja), Indonesian (id), and Portuguese (pt).

After collecting the data, we labelled tweets or their translation to English that contained potentially informative factual information. We name this group of tweets “informative messages.” Next, we used crowdsourcing to further categorize the messages into various informational categories. We asked three different workers to label each of the approximately 5,700 informative messages across languages. The target categories were based on an ontology from TREC-IS 2018, where we grouped some low level ontology categories into higher-level ones.

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.

Between July and December 2024, there were over four million account suspensions on X (formerly Twitter) and over 10.1 million posts either removed or labeled. Overall, 927,892 million account suspensions occurred for reasons of abuse or harassment, and 1.49 million posts were labeled or removed for this reason.

Context

The Myers-Briggs Type Indicators (MBTI) is one of the most popular personality model which creates a binary categorization based on four different dimensions and produces 16 possible personality type depending on the combination of these four values.

• Introversion/Extraversion: The first dimension is connected to the person's energy. Extroverts prefer to put their energy into dealing with people, circumstances, or the outer world. Introverts prefer to focus their energies on dealing with ideas, facts, explanations, or beliefs, or the inner world.

• iNtuition /Sensing: The second dimension is about how information is processed. Sensing is the type of person who wants to look at facts, with what is known. A person with iNtuition tends to experiment with ideas, investigate the unknown.

• Feeling /Thinking: The third dimension is related to decision making. Thinking people make decisions based on objective reasoning and an independent perspective. The type of people who prefer to use values is Feeling.

• Perception /Judgement: The final dimension is related to the way of life chosen. Judgment is the type of person that prefers to have their lives planned and structured. Perception is the type of person that prefers to go with the flow, to be adaptable, and to respond to events as they occur.

Content

This dataset contains over 7800 rows of data, on each row is a user’s: Type (This persons 4 letter MBTI code/type) Each entry separated by "|||" (3 pipe characters)

Acknowledgements

The dataset was obtained from Twitter through the use of TwitterAPI. To label users, search phrases such as "I am an...", "My MBTI is...", and "My personality type is..." were employed. Subsequently, for all personality types, data was collected through TwitterAPI queries. Users were then selected based on their self-reported personality types, and their timelines were utilized to collect tweets. To ensure data quality, only users who shared more than 200 words were included in the dataset. Throughout the data collection process, precision was given priority. It is important to recognize that despite the emphasis on precision in the data collection process, there may be biases in the dataset due to the search phrases used and the self-reported personality types of the users included. Ethical concerns surrounding the collection and utilization of data from social media platforms, such as Twitter, should also be taken into consideration.