Meta Platforms had ****** full-time employees as of December 2024, down from ****** people in 2023. As of December 2023, more than ******* employees at tech companies worldwide were laid off throughout the year across more than 1,000 companies. Facebook: how it all beganIn 2003, a sophomore at named Mark Zuckerberg hacked into protected areas of the university's computer network in order to find photos of other students. He then would pair two of them next to each other on a program called “Facemash” and ask users to choose the more attractive person. At the beginning of 2004, Zuckerberg launched “The Facebook,” a social network dedicated to Harvard students, which later grew to encompass Columbia, Yale and Stanford. The popularity of this new service sky-rocketed and in mid-2004, Zuckerberg interrupted his studies and moved his operation to Palo Alto, California, in the heart of Silicon Valley. By 2006, Facebook was open to the general public. In 2020, the company reported almost ** billion U.S. dollars in revenue and a net income of ***** billion US dollars. It is also the most popular social network in the world, with *** billion monthly active users as of December 2020. Facebook employee diversity criticismLike many other tech companies, Facebook has been criticized for having a diversity problem. As of June 2020, tech positions, as well as management roles in U.S. offices were overwhelmingly occupied by men. Furthermore, almost ** percent of Facebook employees in the U.S. are White and only *** percent are African-American, which has sparked concern regarding representation and equal opportunities. Around **** percent of senior level positions are occupied by White employees and only *** percent by Hispanic-Americans.

This dataset is about companies in Astoria. It has 161 rows. It features 3 columns: employees, and Facebook link.

This dataset is about companies. It has 203,841 rows and is filtered where the sector is Information Technology. It features 3 columns: employees, and Facebook link.

This dataset is about companies in Chipata. It has 1 row. It features 3 columns: employees, and Facebook link.

This dataset is about companies in Catano. It has 1 row. It features 3 columns: employees, and Facebook link.

This dataset is about companies in Ecuador. It has 2,057 rows. It features 3 columns: employees, and Facebook link.

This dataset is about companies in Pearl City. It has 24 rows. It features 3 columns: employees, and Facebook link.

Die Studie über Facebook-Nutzer wurde von infratest dimap im Auftrag der Konrad-Adenauer-Stiftung durchgeführt. Im Erhebungszeitraum 26. November bis 4. Dezember 2018 wurden 2.041 Facebook-Nutzer in Onlineinterviews (CAWI) zu folgenden Themen befragt: Internetnutzung, Facebook-Gruppen, Facebooknutzung, politische Inhalte auf Facebook, Reaktion auf Inhalte, Bildexperiment und Sonntagsfrage. Die Auswahl der Befragten erfolgte durch eine Quotenstichprobe aus einem Online-Access-Panel. Nutzung verschiedener Internetangebote (Tinder, Facebook, Twitter, snapchat, Instagram, YouTube, Online-Zeitungen, nichts davon); Nutzung offener oder geschlossener Facebook-Gruppen; Facebook-Inhalte zu politischen Themen, zu berufsbezogenen Themen, zu Hobbies, zur Unterhaltung bzw. zu anderen Themen; Art der Facebook-Nutzung (lese/ like/ teile Inhalte, schreibe Kommentare, verbreite eigene Inhalte); politische Facebook-Nutzung (lese/ like/ teile politische Inhalte, schreibe Kommentare zu politischen Themen, verbreite eigenen Inhalt zu politischen Themen); Reaktion auf Facebook- Inhalte bzw. Kommentare (fühle mich informiert, unterhalten, verärgert, provoziert); Zustimmung zu verschiedenen Aussagen zu Facebook (auf Facebook regen mich andere auf, zeige ich anderen ihre Grenzen, kann ich anonym meine Meinung sagen, finde ich viele verschiedene Meinungen, finde ich Meinungen, die sonst unterdrückt werden, traue ich mich Dinge zu sagen/ teilen, die ich sonst nicht sagen würde); Parteipräferenz (Sonntagsfrage); Kommentar (offen) zu einem provozierenden Bild (Split A: Flüchtlinge, Split B: Pegida). Demographie: Geschlecht; Alter (Geburtsjahr); Bildung; Erwerbstätigkeit; berufliche Stellung; Haushaltsnettoeinkommen (gruppiert); Bundesland. Zusätzlich verkodet wurde: lfd. Nummer; Gewichtungsfaktor. The study on Facebook users was conducted by infratest dimap on behalf of the Konrad Adenauer Foundation. During the survey period from November 26 to December 4, 2018, 2,041 Facebook users were surveyed in online interviews (CAWI) on the following topics: internet use, Facebook groups, Facebook use, political content on Facebook, reaction to content, image experiment and Sunday question. Respondents were selected by quota sampling from an online access panel. Use of various internet services (Tinder, Facebook, Twitter, snapchat, Instagram, YouTube, online newspapers, none of the above); use of open or closed Facebook groups; Facebook content on political topics, on job-related topics, on hobbies, on entertainment or on other topics; type of Facebook use (read/ like/ share content, write comments, disseminate own content); political Facebook use (read/ like/ share political content, write comments on political topics, disseminate own content on political topics); reaction to Facebook content or comments (do I feel informed, entertained, annoyed, provoked, etc.). comments (feel informed, entertained, annoyed, provoked); agreement with various statements on Facebook (on Facebook others upset me, I show others their limits, I can speak my mind anonymously, I find many different opinions, I find opinions that are otherwise suppressed, I dare to say/ share things I would not otherwise say); party preference (Sunday question); comment (open) on a provocative image (split A: refugees, split B: Pegida). Demography: sex; age (year of birth); education; employment; occupational status; net household income (grouped); federal state. Additionally coded: serial number; weighting factor.

This dataset is about companies in Mauritania. It has 41 rows. It features 3 columns: employees, and Facebook link.

As of April 2024, Facebook had an addressable ad audience reach 131.1 percent in Libya, followed by the United Arab Emirates with 120.5 percent and Mongolia with 116 percent. Additionally, the Philippines and Qatar had addressable ad audiences of 114.5 percent and 111.7 percent.

Dataset Details

This dataset contains paired tactile and force data, intended for use in predicting 3-axis normal and shear forces applied to the sensor's elastomer. We used three different indenter shapes to collect force-labeled data: hemisphere, sharp, and flat. To measure force ground truths, we employed the ATI nano17 force/torque sensor. The protocol consisted of applying a random normal load (up to 3N) followed by a shear load, achieved by sliding the probe 2mm on the… See the full description on the dataset page: https://huggingface.co/datasets/facebook/gelsight-force-estimation.

This dataset is about companies in Paralimni. It has 6 rows. It features 3 columns: employees, and Facebook link.

The study on Internet and Facebook use was conducted by infratest dimap on behalf of the Konrad-Adenauer-Stiftung. During the survey period from November 28 to December 4, 2018, a representative random sample of 1,075 eligible voters in Germany were interviewed by telephone (CATI) on the following topics: Internet use; Facebook use; Sunday question. The study on internet and Facebook usage was conducted by infratest dimap on behalf of the Konrad Adenauer Foundation. During the survey period from November 28 to December 4, 2018, 1,075 eligible voters in Germany were surveyed in telephone interviews (CATI) on the following topics: internet use, Facebook use, Sunday question. Respondents were selected using a multi-stage random sample including landline and mobile phone numbers (dual-frame sample). Private or professional Internet use; type of Internet use (informing, communicating, playing games, listening to music and videos, doing practical things, reading/watching political content, publishing own content on the Internet); Facebook use; type of Facebook use (read/ like, share content, write comments, distribute own content, none of the above); political Facebook use (read/ like/ share political content, write comments on political topics, distribute own content on political topics). Demography: sex; age; education; employment; occupational status; net household income (grouped); party preference (Sunday question); region east/ west; federal state. Die Studie zur Internet- und Facebook-Nutzung wurde von infratest dimap im Auftrag der Konrad-Adenauer-Stiftung durchgeführt. Im Erhebungszeitraum 28. November bis 4. Dezember 2018 wurden 1.075 Wahlberechtigte in Deutschland in telefonischen Interviews (CATI) zu folgenden Themen befragt: Internetnutzung, Facebook-Nutzung, Sonntagsfrage. Die Auswahl der Befragten erfolgte durch eine mehrstufige Zufallsstichprobe unter Einschluss von Festnetz- und Mobilfunknummern (Dual-Frame Stichprobe). Private bzw. berufliche Internetnutzung; Art der Internetnutzung (Informieren, Kommunizieren, Spielen, Musik und Videos, Erledigung praktischer Dinge, Lesen/ Schauen politischer Inhalte, Veröffentlichen eigener Inhalte im Internet); Facebook-Nutzung; Art der Facebook-Nutzung (lese/ like, teile Inhalte, schreibe Kommentare, verbreite eigene Inhalte, nichts davon); politische Facebook-Nutzung (lese/ like/ teile politische Inhalte, schreibe Kommentare zu politischen Themen, verbreite eigene Inhalte zu politischen Themen). Demographie: Geschlecht; Alter; Bildung; Erwerbstätigkeit; berufliche Stellung; Haushaltsnettoeinkommen (gruppiert); Parteipräferenz (Sonntagsfrage); Region Ost/ West; Bundesland. Zusätzlich verkodet wurde: Satz- oder Paginiernummer; Gewichtungsfaktor.

The Multi-aspect Integrated Migration Indicators (MIMI) dataset is the result of the process of gathering, embedding and combining traditional migration datasets, mostly from sources like Eurostat and UNSD Demographic Statistics Database, and alternative types of data, which consists in multidisciplinary features and measures not typically employed in migration studies, such as the Facebook Social Connectedness Index (SCI). Its purpose is to exploit these novel types of data for: nowcasting migration flows and stocks, studying integration of multiple sources and knowledge, and investigating migration drivers.

The MIMI dataset is designed to have a unique pair of countries for each row. Each record contains country-to-country information about: migrations flows and stock their share, their strength of Facebook connectedness and other features, such as corresponding populations, GDP, coordinates, NET migration, and many others.

Methodology.

After having collected bilateral flows records about international human mobility by citizenship, residence and country of birth (available for both sexes and, in some cases, for different age groups), they have been merged together in order to obtain a unique dataset in which each ordered couple (country-of-origin, country-of-destination) appears once. To avoid duplicate couples, flow records have been selected by following this priority: first migration by citizenship, then migration by residence and lastly by country of birth.

The integration process started by choosing, collecting and meaningfully including many other indicators that could be helpful for the dataset final purpose mentioned above.

• International migration stocks (having a five-year range of measurement) for each couple of countries.
• Geographical features for each country: ISO3166 name and official name, ISO3166-1 alpha-2 and alpha-3 codes, continent code and name of belonging, latitude and longitude of the centroid, list of bordering countries, country area in square kilometres. Also, the following features have been included for each pair of countries: geodesic distance (in kilometres) computed between their respective centroids.

• Non-bidirectional migration measures for each country: total number of immigrants and emigrants for each year, NET migration and NET migration rate in a five-year range.

• Other multidisciplinary indicators (cultural, social, anthropological, demographical, historical features) related to each country: religion (single one or list), yearly GDP at PPP, spoken language (or list of languages), yearly population stocks (and population densities if available), number of Facebook users, percentage of Facebook users, cultural indicators (PDI, IDV, MAS, UAI, LTO). Also the following feature have been included for each pair of countries: Facebook Social Connectedness Index.

Once traditional and non-traditional knowledge is gathered and integrated, we move to the pre-processing phase where we manage the data cleaning, preparation and transformation. Here our dataset was subjected to various computational standard processes and additionally reshaped in the final structure established by our design choices.

The data quality assessment phase was one of the longest and most delicate, since many values were missing and this could have had a negative impact on the quality of the desired resulting knowledge. They have been integrated from additional sources such as The World Bank, World Population Review, Statista, DataHub, Wikipedia and in some cases extracted from Python libraries such as PyPopulation, CountryInfo and PyCountry.

The final dataset has the structure of a huge matrix having countries couples as index (uniquely identified by coupling their ISO 3166-1 alpha-2 codes): it comprises 28725 entries and 485 columns.

Nowadays, new branches of research are proposing the use of non-traditional data sources for the study of migration trends in order to find an original methodology to answer open questions about cross-border human mobility. The Multi-aspect Integrated Migration Indicators (MIMI) dataset is a new dataset to be exploited in migration studies as a concrete example of this new approach. It includes both official data about bidirectional human migration (traditional flow and stock data) with multidisciplinary variables and original indicators, including economic, demographic, cultural and geographic indicators, together with the Facebook Social Connectedness Index (SCI). It is built by gathering, embedding and integrating traditional and novel variables, resulting in this new multidisciplinary dataset that could significantly contribute to nowcast/forecast bilateral migration trends and migration drivers.

Thanks to this variety of knowledge, experts from several research fields (demographers, sociologists, economists) could exploit MIMI to investigate the trends in the various indicators, and the relationship among them. Moreover, it could be possible to develop complex models based on these data, able to assess human migration by evaluating related interdisciplinary drivers, as well as models able to nowcast and predict traditional migration indicators in accordance with original variables, such as the strength of social connectivity. Here, the SCI could have an important role. It measures the relative probability that two individuals across two countries are friends with each other on Facebook, therefore it could be employed as a proxy of social connections across borders, to be studied as a possible driver of migration.

All in all, the motivations for building and releasing the MIMI dataset lie in the need of new perspectives, methods and analyses that can no longer prescind from taking into account a variety of new factors. The heterogeneous and multidimensional sets of data present in MIMI offer an all-encompassing overview of the characteristics of human migration, enabling a better understanding and an original potential exploration of the relationship between migration and non-traditional sources of data.

The MIMI dataset is made up of one single CSV file that includes 28,821 rows (records/entries) and 876 columns (variables/features/indicators). Each row is identified uniquely by a pairs of countries, built from the joining of the two ISO-3166 alpha-2 codes for the origin and destination country, respectively. The dataset contains as main features the country-to-country bilateral migration flows and stocks, together with multidisciplinary variables measuring cultural, demographic, geographic and economic variables for the two countries, together with the Facebook strength of connectedness of each pair.

Related paper: Goglia, D., Pollacci, L., Sirbu, A. (2022). Dataset of Multi-aspect Integrated Migration Indicators. https://doi.org/10.5281/zenodo.6500885

Which county has the most Facebook users?

              There are more than 378 million Facebook users in India alone, making it the leading country in terms of Facebook audience size. To put this into context, if India’s Facebook audience were a country then it would be ranked third in terms of largest population worldwide. Apart from India, there are several other markets with more than 100 million Facebook users each: The United States, Indonesia, and Brazil with 193.8 million, 119.05 million, and 112.55 million Facebook users respectively.

              Facebook – the most used social media

              Meta, the company that was previously called Facebook, owns four of the most popular social media platforms worldwide, WhatsApp, Facebook Messenger, Facebook, and Instagram. As of the third quarter of 2021, there were around 3,5 billion cumulative monthly users of the company’s products worldwide. With around 2.9 billion monthly active users, Facebook is the most popular social media worldwide. With an audience of this scale, it is no surprise that the vast majority of Facebook’s revenue is generated through advertising.

              Facebook usage by device
              As of July 2021, it was found that 98.5 percent of active users accessed their Facebook account from mobile devices. In fact, almost 81.8 percent of Facebook audiences worldwide access the platform only via mobile phone. Facebook is not only available through mobile browser as the company has published several mobile apps for users to access their products and services. As of the third quarter 2021, the four core Meta products were leading the ranking of most downloaded mobile apps worldwide, with WhatsApp amassing approximately six billion downloads.

This dataset documents public conversations on South Africa’s energy transition policies and initiatives, with a particular focus on the COP26 Just Energy Transition Partnership (JETP). It supports research aimed at understanding the social and communicative dynamics involved in transforming South Africa’s energy system—historically dependent on coal—toward cleaner energy sources. Given the intersection of energy infrastructure with socio-economic and political systems, communication studies offer a critical lens for examining how publics frame and contest visions of future energy transitions.The dataset extends earlier work exploring how South African publics received and responded to the COP26 coal phase-out deal on Facebook (Okoliko and de Wit, 2024), with the dataset available at: https://doi.org/10.25413/sun.24297940.v1. For this current dataset, additional content from mainstream news media was curated to enable a comparative analysis of platform-specific framings: mainstream news media versus Facebook comments. The analysis intends to examine whether and how justice imaginaries shape discourse on the JETP, drawing on the four pillars of Just Energy Transition (JET): procedural, distributive, recognition, and restorative justice.A two-stage sampling approach was employed. First, news items published by South African media discussing the COP26 JETP deal were purposively targeted, regardless of format. Materials were sourced from the LexisNexis database and a previously archived dataset on SUNScholarData (Okoliko and de Wit, 2024). A LexisNexis search was conducted on February 2, 2025, using the terms COP26, $8.5 billion, energy, transition, and South Africa. The search, limited to the period November 1, 2021–January 31, 2022, and filtered for South Africa-based news articles, yielded 402 records. After screening for relevance and removing duplicates, 90 articles directly addressing the JETP deal were retained. Excluded items included articles mentioning climate transitions, COP26, or financing without a specific focus on South Africa’s JETP.The Facebook dataset comprises 3,980 comments responding to 31 news posts by South African media outlets (see Okoliko and de Wit, 2024, for methodological details). To supplement the mainstream media dataset, 20 additional news publications shared on Facebook were added. Nine of the 31 records were excluded due to duplication or unavailability, resulting in 110 relevant media items. Facebook comments were further screened for analytical relevance, excluding entries with minimal content (e.g., “that’s true” or “of course”), which reduced the total to 3,668 substantive comments.The dataset is structured as follows:News Media Complete Dataset (screened LexisNexis-sourced records)News Media Subsets Analysed:News Media subsetSubset of full Facebook post texts shared by media outletsFacebook Data Subset Analysed (see Okoliko, 2025, for the complete dataset).Details of the analytical framework, methods, and findings are reported in the associated publication: “‘Watershed Moment’ or ‘More Money to Steal’? South Africa’s COP26 Just Energy Transition Deal in News Media vs. Facebook Comments” (currently under peer review with Frontiers in Communication).ReferencesOkoliko, D. A. (2025). Exploring Transition Tensions in Public Opinion on the COP26 Coal Phase-out Deal for South Africa as Expressed on Facebook. SUNScholarData. Dataset. https://doi.org/10.25413/sun.24297940.v1Okoliko, D. A., and de Wit, M. P. (2024). Exploring Transition Tensions in Public Opinion on the COP26 Coal Phase-out Deal for South Africa as Expressed on Facebook. Environmental Communication 18, 1124–1146. https://doi.org/10.1080/17524032.2024.2353081

As of April 2024, it was found that men between the ages of 25 and 34 years made up Facebook largest audience, accounting for 18.4 percent of global users. Additionally, Facebook's second largest audience base could be found with men aged 18 to 24 years.

              Facebook connects the world

              Founded in 2004 and going public in 2012, Facebook is one of the biggest internet companies in the world with influence that goes beyond social media. It is widely considered as one of the Big Four tech companies, along with Google, Apple, and Amazon (all together known under the acronym GAFA). Facebook is the most popular social network worldwide and the company also owns three other billion-user properties: mobile messaging apps WhatsApp and Facebook Messenger,
              as well as photo-sharing app Instagram. Facebook usersThe vast majority of Facebook users connect to the social network via mobile devices. This is unsurprising, as Facebook has many users in mobile-first online markets. Currently, India ranks first in terms of Facebook audience size with 378 million users. The United States, Brazil, and Indonesia also all have more than 100 million Facebook users each.

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

The Multi-aspect Integrated Migration Indicators (MIMI) dataset is the result of the process of gathering, embedding and combining traditional migration datasets, mostly from sources like Eurostat and United Nations, and alternative types of data, which consists in multidisciplinary features and measures not typically employed in migration studies, such as the Facebook Social Connectedness Index (SCI). Its purpose is to exploit these novel types of data for: nowcasting migration flows and stocks, studying integration of multiple sources and knowledge, and investigating migration drivers. The MIMI dataset is designed to have a unique pair of countries for each row. Each record contains country-to-country information about: migrations flows and stock their share, their strength of Facebook connectedness and other features, such as corresponding populations, GDP, coordinates, NET migration, and many others.