This statistical dataset contains estimates on the number of active online Facebook users living outside of their country of origin within the European Union. The dataset includes information on Facebook users' age, gender, country of residence, and country of previous residence. The data is divided in the number of Monthly Active Users and Daily Active Users. The data was collected through standard CSV format via an advertising API platform by using an R Studio code, and the data collection was conducted twice a month from January to November 2021.

The dataset was originally published in DiVA and moved to SND in 2024.

During the fourth quarter of 2023, the number of daily active users on Facebook reached 2.1 billion, a minor increase on the previous quarter. When compared with the number of daily active users in the final quarter of 2022, the platform has gained around 100 million users. Facebook’s penetration rate for the United States in 2023 was 72.13 percent, up from 71.43 percent in 2022. The social network’s audience reach is projected to stand at 75.79 percent by 2027.

Most popular social media websites

As of May 2021, Facebook was the most used social media site in the United States, accounting for 71.8 percent of all social media visits. Ranking in second place was Pinterest with 12.4 percent, followed by Twitter and Instagram, with 9.15 percent and 3.82 percent, respectively. Although other sites remain popular, Facebook’s number of visits made it undoubtably the leading social media platform in terms of social media site visits.

For Generation Z and Millennials in the United States, Facebook was one of the least popular platforms used to connect with others. Gen Z and Millennials preferred video sharing platforms, specifically Snapchat, TikTok and YouTube.

Meta’s revenue

Facebook Inc was renamed as Meta in 2021, in a strategic step toward the metaverse. Meta Platforms is now the parent company of Facebook, Instagram, Facebook Messenger and WhatsApp amongst others, together being known as Meta’s Family of Apps.

Meta’s annual revenue for 2021 was 117.92 billion U.S. dollars, up from 85.97 billion in 2020. Within a decade, the company has increased its annual revenue by approximately 114 billion U.S. dollars. In the most recent fiscal year, Meta’s Family of Apps were responsible for over 115 billion U.S. dollars’ worth of Meta’s revenue.

This table includes platform data for Facebook participants in the Deactivation experiment. Each row of the dataset corresponds to data from a participant’s Facebook user account. Each column contains a value, or set of values, that aggregates log data for this specific participant over a certain period of time.

This Monthly Active Population (MAP) dataset contains aggregated Facebook interactions for adult US monthly active users.

Context

Worldwide Social Media User in 2021 (Quarterly)

Acknowledgements

Facebook: https://www.statista.com/statistics/264810/number-of-monthly-active-facebook-users-worldwide/ Twitter: https://investor.twitterinc.com/home/default.aspx Instagram: https://investor.fb.com/home/default.aspx

Context

There's a story behind every dataset and here's your opportunity to share yours.

Content

What's inside is more than just rows and columns. Make it easy for others to get started by describing how you acquired the data and what time period it represents, too.

Acknowledgements

We wouldn't be here without the help of others. If you owe any attributions or thanks, include them here along with any citations of past research.

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

The metrics in this dataset measure users who viewed posts with links to civic news URLs. The dataset contains URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes content views, audience size, content attributes, user attributes.

The metrics in this dataset measure users who engaged with posts with links to civic news URLs and the volume of their engagement. The dataset contains URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes content views, audience size, content attributes, user attributes.

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.

Context Collection of Facebook spam-legit profile and content-based data. It can be used for classification tasks.

Content The dataset can be used for building machine learning models. To collect the dataset, Facebook API and Facebook Graph API are used and the data is collected from public profiles. There are 500 legit profiles and 100 spam profiles. The list of features is as follows with Label (0-legit, 1-spam). 1. Number of friends 2. Number of followings 3. Number of Community 4. The age of the user account (in days) 5. Total number of posts shared 6. Total number of URLs shared 7. Total number of photos/videos shared 8. Fraction of the posts containing URLs 9. Fraction of the posts containing photos/videos 10. Average number of comments per post 11. Average number of likes per post 12. Average number of tags in a post (Rate of tagging) 13. Average number of hashtags present in a post

Inspiration Dataset helps the community to understand how features can help to differ Facebook legit users from spam users.

Analysis of ‘Facebook Ad Campaign’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/madislemsalu/facebook-ad-campaign on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Simple Dataset from different marketing campaigns.

The total conversion number shows the total number of signups or installs for instance while approved conversions tells how many became actual active users.

Courtesy of Bunq.

--- Original source retains full ownership of the source dataset ---

Context: This dataset offers insights into the usage patterns of social media apps for 1,000 users across seven popular platforms: Facebook, Instagram, Twitter, Snapchat, TikTok, LinkedIn, and Pinterest. It tracks various metrics such as daily time spent on the app, number of posts made, likes received, and new followers gained.

Dataset Features:

User_ID: Unique identifier for each user. App: The social media platform being used. Daily_Minutes_Spent: Total time a user spends on the app each day, ranging from 5 to 500 minutes. Posts_Per_Day: Number of posts a user creates per day, ranging from 0 to 20. Likes_Per_Day: Total number of likes a user receives on their posts each day, ranging from 0 to 200. Follows_Per_Day: The number of new followers a user gains daily, ranging from 0 to 50. Context & Use Cases: This dataset could be particularly useful for social media analysts, digital marketers, or researchers interested in understanding user engagement trends across different platforms. It provides insights into how much time users spend, how actively they post, and the level of engagement they receive (in terms of likes and followers).

Conclusion & Outcome: Analyzing this dataset could yield several outcomes:

Engagement Patterns: Identifying which platforms have higher engagement in terms of time spent or likes received. Active Users: Determining which users are the most active across various platforms based on the number of posts and followers gained. User Retention: Studying the correlation between time spent and follower growth, providing insight into user retention strategies for different platforms. Overall, the dataset allows for exploration of social media usage trends and helps drive decision-making for marketing strategies, content creation, and platform engagement.

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 metrics in this dataset measure users who potentially viewed posts with links to civic news URLs that were shared by one of their connections. The dataset contains URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes potential audience size, content attributes, user attributes, political interest.

https://logos-world.net/wp-content/uploads/2020/04/Facebook-Logo.png" alt="Facebook">

Facebook is an American online social media and social networking service owned by Facebook, Inc.

Founded in 2004 by Mark Zuckerberg with fellow Harvard College students and roommates Eduardo Saverin, Andrew McCollum, Dustin Moskovitz, and Chris Hughes, its name comes from the face book directories often given to American university students. Membership was initially limited to Harvard students, gradually expanding to other North American universities and, since 2006, anyone over 13 years old. As of 2020, Facebook claimed 2.8 billion monthly active users, and ranked seventh in global internet usage. It was the most downloaded mobile app of the 2010s.

No-reference (NR) perceptual video quality assessment (VQA) is a complex, unsolved, and important problem to social and streaming media applications. Efficient and accurate video quality predictors are needed to monitor and guide the processing of billions of shared, often imperfect, user-generated content (UGC). Unfortunately, current NR models are limited in their prediction capabilities on real-world, "in-the-wild" UGC video data. To advance progress on this problem, we created the largest (by far) subjective video quality dataset, containing 39, 000 real-world distorted videos and 117, 000 space-time localized video patches ("v-patches"), and 5.5M human perceptual quality annotations. Using this, we created two unique NR-VQA models: (a) a local-to-global region-based NR VQA architecture (called PVQ) that learns to predict global video quality and achieves state-of-the-art performance on 3 UGC datasets, and (b) a first-of-a-kind space-time video quality mapping engine (called PVQ Mapper) that helps localize and visualize perceptual distortions in space and time. We will make the new database and prediction models available immediately following the review process.

Context

Security specialist Ron Bowes has once again proven how easy it is to glean valuable user information from Facebook, by spidering Facebook’s online directory and compiling it all into one neat little torrent that could be downloaded off his site, SkullSecurity.com.

The last names of every searchable Facebook user, both unique and by count (perfect for post-processing, datamining, etc). Processed lists, including last names with count, first names with count, potential usernames with count, etc.

Content

List of UNIQUE Last Names with the number of times they appear.

Acknowledgements

Security specialist Ron Bowes

Inspiration

Your data will be in front of the world's largest data science community. What questions do you want to see answered?

This dataset measures the ideological segregation index and favorability score of the potential, exposed and engaged audience of posts with links to domains and URLs classified as civic news. The dataset contains domain- and URL-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated weekly over the study period. Includes ideological segregation index, favorability score, content attributes, user attributes.

This dataset is a product generated to track the change of migrant numbers from Ukraine since the war began in 2023-02-05.This data provides the percent change of population detected from Facebook users compared to a pre-war baseline for the same administrative unit. For more information about the Facebook data, please refer to the Population Maps page from Data for Good at Meta.How was the pre-event baseline calculated?The pre-war baseline was calculated as an average over a 90-day time window prior to the earthquake event (2023-02-05).Key metricsPercent change between current and baseline. Change in percentage between the trackable population by Facebook of the current date and the baseline period.Baseline FB users. Anonymized and aggregated Facebook users that are trackable (consent to be included in the dataset) of 90 days before the event.

The metrics in this dataset measure the audience size and views of posts with links to a specific pair of domains classified as civic news. The dataset contains domain-level metrics from Facebook activity data for adult U.S. monthly active users, aggregated over the study period. Includes content views, audience size, content attributes, user attributes, political interest.