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.

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.

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.

With roughly three billion monthly active users as of the second quarter of 2023, Facebook is the most used online social network worldwide. The platform surpassed two billion active users in the second quarter of 2017, taking just over 13 years to reach this milestone. In comparison, Meta-owned Instagram took 11.2 years, and Google’s YouTube took just over 14 years to achieve this landmark. As of January 2022, Facebook’s leading audience base was in India, with almost 330 million users whilst the United States ranked second with an approximate total of 179 million users. The platform also finds remarkable popularity in Indonesia and Brazil. Social Media usage in the United States In January 2021, Facebook was the platform on which users in the United States spent the most time per day. The average time spent on Facebook was 33 minutes, followed by TikTok with 32 minutes and Twitter with 31 daily minutes. Due to the COVID-19 outbreak in 2020, all major social media platforms saw an increase in daily usage, which then either plateaued or decreased in 2021. At the end of 2021, over a quarter of all Facebook users in the United States belonged to the 25 to 34 year age group and 18.2 percent of users were in the 35 to 44 year age group. In general, Facebook users were more likely to be female. Meta Platforms Meta is Facebook’s recently renamed parent company and had a grand total of 3.59 billion core product users by the final quarter of 2021. Other Meta products include Instagram, Facebook Messenger, WhatsApp and Oculus – Meta’s virtual reality subsidiary which produces VR headsets. In 2021, Meta's revenue amounted to 117 billion US dollars, up from around 86 billion U.S. dollars in the previous financial year.

Ebitda Time Series for Meta Platforms Inc.. Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality and mixed reality headsets, augmented reality, and wearables worldwide. It operates through two segments, Family of Apps (FoA) and Reality Labs (RL). The FoA segment offers Facebook, which enables people to build community through feed, reels, stories, groups, marketplace, and other; Instagram that brings people closer through instagram feed, stories, reels, live, and messaging; Messenger, a messaging application for people to connect with friends, family, communities, and businesses across platforms and devices through text, audio, and video calls; Threads, an application for text-based updates and public conversations; and WhatsApp, a messaging application that is used by people and businesses to communicate and transact in a private way. The RL segment provides virtual, augmented, and mixed reality related products comprising consumer hardware, software, and content that help people feel connected, anytime, and anywhere. The company was formerly known as Facebook, Inc. and changed its name to Meta Platforms, Inc. in October 2021. The company was incorporated in 2004 and is headquartered in Menlo Park, California.

Context

COVIDcast displays signals related to COVID-19 activity levels across the United States, derived from a variety of anonymized, aggregated data sources made available by multiple partners.

One of COVIDcast streams displays results for a CMU-run symptom survey, advertised through Facebook.

Content

This dataset is gathered using the delphi-epidata API and contains covidcast_meta and covidcast datasources.

Presently the dataset contains fb-survey data signal which is based on CMU-run symptom surveys, advertised through Facebook. Using this survey data, CMU estimate the percentage of people in a given location, on a given day that have CLI (covid-like illness = fever, along with cough, or shortness of breath, or difficulty breathing), and separately, that have ILI (influenza-like illness = fever, along with cough or sore throat).

Dataset Description

Files are organized in folders based on the spatial resolution of fb-survey data (state, county, hrr, msa).

Each file contains the percentage of people in a given location, on a given day that have CLI or ILI. Data consists of raw and smoothed estimates and is gathered for all time values available at delphi-epidata.

Each file contains the following columns: - geo_value - location code - time_value - time unit (e.g. date) over which underlying events happened - direction - trend classifier (+1 -> increasing, 0 steady or not determined, -1 -> decreasing) - value - value (statistic) derived from the underlying data source - stderr - standard error of the statistic with respect to its sampling distribution, null when not applicable - sample_size - number of "data points" used in computing the statistic, null when not applicable

Additionally, the dataset contains the most recent covidcast_meta where you can find the summary statistics for fb-survey data.

Net-Borrowings Time Series for Meta Platforms Inc.. Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality and mixed reality headsets, augmented reality, and wearables worldwide. It operates through two segments, Family of Apps (FoA) and Reality Labs (RL). The FoA segment offers Facebook, which enables people to build community through feed, reels, stories, groups, marketplace, and other; Instagram that brings people closer through instagram feed, stories, reels, live, and messaging; Messenger, a messaging application for people to connect with friends, family, communities, and businesses across platforms and devices through text, audio, and video calls; Threads, an application for text-based updates and public conversations; and WhatsApp, a messaging application that is used by people and businesses to communicate and transact in a private way. The RL segment provides virtual, augmented, and mixed reality related products comprising consumer hardware, software, and content that help people feel connected, anytime, and anywhere. The company was formerly known as Facebook, Inc. and changed its name to Meta Platforms, Inc. in October 2021. The company was incorporated in 2004 and is headquartered in Menlo Park, California.

Interest-Expense Time Series for Meta Platforms Inc.. Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality and mixed reality headsets, augmented reality, and wearables worldwide. It operates through two segments, Family of Apps (FoA) and Reality Labs (RL). The FoA segment offers Facebook, which enables people to build community through feed, reels, stories, groups, marketplace, and other; Instagram that brings people closer through instagram feed, stories, reels, live, and messaging; Messenger, a messaging application for people to connect with friends, family, communities, and businesses across platforms and devices through text, audio, and video calls; Threads, an application for text-based updates and public conversations; and WhatsApp, a messaging application that is used by people and businesses to communicate and transact in a private way. The RL segment provides virtual, augmented, and mixed reality related products comprising consumer hardware, software, and content that help people feel connected, anytime, and anywhere. The company was formerly known as Facebook, Inc. and changed its name to Meta Platforms, Inc. in October 2021. The company was incorporated in 2004 and is headquartered in Menlo Park, California.

Depreciation-and-Amortization-Expense Time Series for Meta Platforms Inc.. Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality and mixed reality headsets, augmented reality, and wearables worldwide. It operates through two segments, Family of Apps (FoA) and Reality Labs (RL). The FoA segment offers Facebook, which enables people to build community through feed, reels, stories, groups, marketplace, and other; Instagram that brings people closer through instagram feed, stories, reels, live, and messaging; Messenger, a messaging application for people to connect with friends, family, communities, and businesses across platforms and devices through text, audio, and video calls; Threads, an application for text-based updates and public conversations; and WhatsApp, a messaging application that is used by people and businesses to communicate and transact in a private way. The RL segment provides virtual, augmented, and mixed reality related products comprising consumer hardware, software, and content that help people feel connected, anytime, and anywhere. The company was formerly known as Facebook, Inc. and changed its name to Meta Platforms, Inc. in October 2021. The company was incorporated in 2004 and is headquartered in Menlo Park, California.

These high-resolution maps estimate not only the number of people living within 30-meter grid tiles, but also provide insights on demographics at unprecedentedly high resolutions. These maps aren’t built using Facebook data and instead rely on combining the power of machine vision AI with satellite imagery and census information.

Unlock the full potential of your social media outreach with our comprehensive Global Social Media Database, meticulously designed to meet your strategic needs. Covering major regions across the globe—APAC, Europe, Africa, North America, South America, and LATAM—this dynamic resource spans 16 diverse industries, making it a powerful catalyst for your marketing and social engagement strategies.

Global Geographical Coverage: Our database is designed to offer extensive coverage, enabling you to engage audiences across:

1. APAC (Asia-Pacific): China, India, Japan, South Korea, Australia, and more.
2. Europe: United Kingdom, Germany, France, Italy, Spain, and others.
3. Africa: South Africa, Nigeria, Kenya, Egypt, and more.
4. North America: United States, Canada, Mexico.
5. South America: Brazil, Argentina, Chile, Colombia, and more.
6. LATAM (Latin America): Brazil, Argentina, Peru, Venezuela, and other nations.

This widespread reach ensures that your campaigns resonate across both developed and emerging markets.

Industries Covered: Our data spans the following key industries:

1. Technology
2. Healthcare
3. Finance
4. Manufacturing
5. Education
6. Hospitality
7. Real Estate
8. Energy
9. Agriculture
10. Transportation
11. Media
12. Telecommunications
13. Automotive
14. Pharmaceutical
15. Aerospace

16. Retail

    Employee Size & Revenue: We recognize the importance of targeted outreach, which is why our database also includes employee size and revenue data for each company, ensuring that you can filter and approach organizations based on their scale and financial capacity. Whether you're targeting small businesses or multinational corporations, we’ve got you covered with customized insights to optimize your campaigns.

    Key Database Attributes: Our comprehensive social media data offers the following key attributes:

17. Total Contacts: 120M+

18. Social Platforms: LinkedIn, Facebook, YouTube, TwitterX

19. Direct Dials: Verified

20. Email Addresses: Verified

21. Live Profile Links: Provided on request

    What Sets Us Apart:

    1. Verified Direct Dials & Emails:
       Accuracy is our priority. Each contact in our database comes with verified direct dials and email addresses, ensuring you reach the right people, reducing wasted outreach efforts, and maximizing engagement.

    2. Free Lead Replacement:
       Understanding that social media data is ever-changing, we offer cost-free lead replacements, maintaining the quality and relevance of your contacts over time, with no added costs.

    3. Sourcing Excellence:
       Our data isn't merely aggregated. We use precise sourcing strategies, leveraging both publication sites and a dedicated contact discovery team, guaranteeing the authenticity and relevance of our database.

    4. Live Profile Links:
       Want to explore a profile in real-time? We provide live links to social media profiles across LinkedIn, Facebook, YouTube, and TwitterX, allowing seamless interaction and profile verification.

    5. Global Reach:
       Our reach extends across continents, from the vibrant tech hubs of APAC to thriving business sectors in North America, making our database indispensable for engaging diverse and global audiences.

    6. Industry-Specific Targeting:
       Our data is structured for industry-specific targeting. Whether you are engaging with healthcare, finance, or manufacturing professionals, we provide nuanced insights tailored to your needs, ensuring strategic precision.

    7. Strategic Asset:
       Our database isn't just a collection of contacts—it's a strategic asset. With 250M+ verified contacts, direct dials, and email addresses, it empowers you to align your social media strategy with your overall sales and marketing goals, enabling meaningful interactions that can translate into successful business engagements.

    Amplify Your Social Media Presence: Use our Global Social Media Data to drive meaningful connections and enhance your social media presence. With our data, you’ll have the ability to reach the right people, at the right time, on the right platforms. Whether you're exploring new territories, scaling your operations, or targeting niche industries, our data will empower you to make an impactful difference in your social media outreach.

Let us be your trusted partner as you navigate the intricate world of global social engagement strategies!

BackgroundUnderstanding the social environmental around obesity has been limited by available data. One promising approach used to bridge similar gaps elsewhere is to use passively generated digital data.PurposeThis article explores the relationship between online social environment via web-based social networks and population obesity prevalence.MethodsWe performed a cross-sectional study using linear regression and cross validation to measure the relationship and predictive performance of user interests on the online social network Facebook to obesity prevalence in metros across the United States of America (USA) and neighborhoods within New York City (NYC). The outcomes, proportion of obese and/or overweight population in USA metros and NYC neighborhoods, were obtained via the Centers for Disease Control and Prevention Behavioral Risk Factor Surveillance and NYC EpiQuery systems. Predictors were geographically specific proportion of users with activity-related and sedentary-related interests on Facebook.ResultsHigher proportion of the population with activity-related interests on Facebook was associated with a significant 12.0% (95% Confidence Interval (CI) 11.9 to 12.1) lower predicted prevalence of obese and/or overweight people across USA metros and 7.2% (95% CI: 6.8 to 7.7) across NYC neighborhoods. Conversely, greater proportion of the population with interest in television was associated with higher prevalence of obese and/or overweight people of 3.9% (95% CI: 3.7 to 4.0) (USA) and 27.5% (95% CI: 27.1 to 27.9, significant) (NYC). For activity-interests and national obesity outcomes, the average root mean square prediction error from 10-fold cross validation was comparable to the average root mean square error of a model developed using the entire data set.ConclusionsActivity-related interests across the USA and sedentary-related interests across NYC were significantly associated with obesity prevalence. Further research is needed to understand how the online social environment relates to health outcomes and how it can be used to identify or target interventions.

Dataset Summary

We introduce Multi-IF, a new benchmark designed to assess LLMs' proficiency in following multi-turn and multilingual instructions. Multi-IF, which utilizes a hybrid framework combining LLM and human annotators, expands upon the IFEval by incorporating multi-turn sequences and translating the English prompts into another 7 languages, resulting in a dataset of 4501 multilingual conversations, where each has three turns. Our evaluation of 14 state-of-the-art LLMs on… See the full description on the dataset page: https://huggingface.co/datasets/facebook/Multi-IF.

The peer-reviewed publication for this dataset has been presented in the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), and can be accessed here: https://arxiv.org/abs/2205.02596. Please cite this when using the dataset.

This dataset contains a heterogeneous set of True and False COVID claims and online sources of information for each claim.

The claims have been obtained from online fact-checking sources, existing datasets and research challenges. It combines different data sources with different foci, thus enabling a comprehensive approach that combines different media (Twitter, Facebook, general websites, academia), information domains (health, scholar, media), information types (news, claims) and applications (information retrieval, veracity evaluation).

The processing of the claims included an extensive de-duplication process eliminating repeated or very similar claims. The dataset is presented in a LARGE and a SMALL version, accounting for different degrees of similarity between the remaining claims (excluding respectively claims with a 90% and 99% probability of being similar, as obtained through the MonoT5 model). The similarity of claims was analysed using BM25 (Robertson et al., 1995; Crestani et al., 1998; Robertson and Zaragoza, 2009) with MonoT5 re-ranking (Nogueira et al., 2020), and BERTScore (Zhang et al., 2019).

The processing of the content also involved removing claims making only a direct reference to existing content in other media (audio, video, photos); automatically obtained content not representing claims; and entries with claims or fact-checking sources in languages other than English.

The claims were analysed to identify types of claims that may be of particular interest, either for inclusion or exclusion depending on the type of analysis. The following types were identified: (1) Multimodal; (2) Social media references; (3) Claims including questions; (4) Claims including numerical content; (5) Named entities, including: PERSON − People, including fictional; ORGANIZATION − Companies, agencies, institutions, etc.; GPE − Countries, cities, states; FACILITY − Buildings, highways, etc. These entities have been detected using a RoBERTa base English model (Liu et al., 2019) trained on the OntoNotes Release 5.0 dataset (Weischedel et al., 2013) using Spacy.

The original labels for the claims have been reviewed and homogenised from the different criteria used by each original fact-checker into the final True and False labels.

The data sources used are:

• The CoronaVirusFacts/DatosCoronaVirus Alliance Database. https://www.poynter.org/ifcn-covid-19-misinformation/

• CoAID dataset (Cui and Lee, 2020) https://github.com/cuilimeng/CoAID

• MM-COVID (Li et al., 2020) https://github.com/bigheiniu/MM-COVID

• CovidLies (Hossain et al., 2020) https://github.com/ucinlp/covid19-data

• TREC Health Misinformation track https://trec-health-misinfo.github.io/

• TREC COVID challenge (Voorhees et al., 2021; Roberts et al., 2020) https://ir.nist.gov/covidSubmit/data.html

The LARGE dataset contains 5,143 claims (1,810 False and 3,333 True), and the SMALL version 1,709 claims (477 False and 1,232 True).

The entries in the dataset contain the following information:

• Claim. Text of the claim.

• Claim label. The labels are: False, and True.

• Claim source. The sources include mostly fact-checking websites, health information websites, health clinics, public institutions sites, and peer-reviewed scientific journals.

• Original information source. Information about which general information source was used to obtain the claim.

• Claim type. The different types, previously explained, are: Multimodal, Social Media, Questions, Numerical, and Named Entities.

Funding. This work was supported by the UK Engineering and Physical Sciences Research Council (grant no. EP/V048597/1, EP/T017112/1). ML and YH are supported by Turing AI Fellowships funded by the UK Research and Innovation (grant no. EP/V030302/1, EP/V020579/1).

References

• Arana-Catania M., Kochkina E., Zubiaga A., Liakata M., Procter R., He Y.. Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims. NAACL 2022 https://arxiv.org/abs/2205.02596

• Stephen E Robertson, Steve Walker, Susan Jones, Micheline M Hancock-Beaulieu, Mike Gatford, et al. 1995. Okapi at trec-3. Nist Special Publication Sp,109:109.

• Fabio Crestani, Mounia Lalmas, Cornelis J Van Rijsbergen, and Iain Campbell. 1998. “is this document relevant?. . . probably” a survey of probabilistic models in information retrieval. ACM Computing Surveys (CSUR), 30(4):528–552.

• Stephen Robertson and Hugo Zaragoza. 2009. The probabilistic relevance framework: BM25 and beyond. Now Publishers Inc.

• Rodrigo Nogueira, Zhiying Jiang, Ronak Pradeep, and Jimmy Lin. 2020. Document ranking with a pre-trained sequence-to-sequence model. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Findings, pages 708–718.

• Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019. Bertscore: Evaluating text generation with bert. In International Conference on Learning Representations.

• Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692.

• Ralph Weischedel, Martha Palmer, Mitchell Marcus, Eduard Hovy, Sameer Pradhan, Lance Ramshaw, Nianwen Xue, Ann Taylor, Jeff Kaufman, Michelle Franchini, et al. 2013. Ontonotes release 5.0 ldc2013t19. Linguistic Data Consortium, Philadelphia, PA, 23.

• Limeng Cui and Dongwon Lee. 2020. Coaid: Covid-19 healthcare misinformation dataset. arXiv preprint arXiv:2006.00885.

• Yichuan Li, Bohan Jiang, Kai Shu, and Huan Liu. 2020. Mm-covid: A multilingual and multimodal data repository for combating covid-19 disinformation.

• Tamanna Hossain, Robert L. Logan IV, Arjuna Ugarte, Yoshitomo Matsubara, Sean Young, and Sameer Singh. 2020. COVIDLies: Detecting COVID-19 misinformation on social media. In Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020, Online. Association for Computational Linguistics.

• Ellen Voorhees, Tasmeer Alam, Steven Bedrick, Dina Demner-Fushman, William R Hersh, Kyle Lo, Kirk Roberts, Ian Soboroff, and Lucy Lu Wang. 2021. Trec-covid: constructing a pandemic information retrieval test collection. In ACM SIGIR Forum, volume 54, pages 1–12. ACM New York, NY, USA.

Fixed-Asset-Turnover Time Series for Meta Platforms Inc.. Meta Platforms, Inc. engages in the development of products that enable people to connect and share with friends and family through mobile devices, personal computers, virtual reality and mixed reality headsets, augmented reality, and wearables worldwide. It operates through two segments, Family of Apps (FoA) and Reality Labs (RL). The FoA segment offers Facebook, which enables people to build community through feed, reels, stories, groups, marketplace, and other; Instagram that brings people closer through instagram feed, stories, reels, live, and messaging; Messenger, a messaging application for people to connect with friends, family, communities, and businesses across platforms and devices through text, audio, and video calls; Threads, an application for text-based updates and public conversations; and WhatsApp, a messaging application that is used by people and businesses to communicate and transact in a private way. The RL segment provides virtual, augmented, and mixed reality related products comprising consumer hardware, software, and content that help people feel connected, anytime, and anywhere. The company was formerly known as Facebook, Inc. and changed its name to Meta Platforms, Inc. in October 2021. The company was incorporated in 2004 and is headquartered in Menlo Park, California.

Annual air trends report in the form of an interactive web application. The report features a suite of visualization tools that allow the user to: -Learn about air pollution and how it can affect our health and environment. -Compare key air emissions to gross domestic product, vehicle miles traveled, population, and energy consumption back to 1970. -Take a closer look at how the number of days with unhealthy air has dropped since 2000 in 35 major US cities. -Explore how air quality and emissions have changed through time and space for each of the common air pollutants. -Check out air trends where you live. Users will also be able to share this content across social media, with one-click access to Facebook, Twitter, Pinterest, and other major social media sites.

The United States COVID-19 Trends and Impact Survey (CTIS) was a voluntary survey of Facebook users in the United States conducted from April 2020 to June 2022. CTIS was intended to aid in pandemic forecasting and response at fine spatiotemporal detail. Through collaboration with Meta, it randomly sampled Facebook active users at a rate sufficient to provide roughly 35,000 responses per day, on average. Survey questions covered topics including COVID-like symptoms, behavior (such as social distancing), COVID testing, mental health, health-related beliefs, trust in officials and information sources, schooling, vaccination acceptance and hesitancy, and related subjects. Respondents provided their ZIP code. Demographic variables include age, gender, education, race/ethnicity, and occupation. Meta generated survey weights to correct for non-response and to match the US adult population age and gender distribution. The 27 datasets make up the microdata. Users should see the Microdata User Guide for documentation on the use and interpretation of the microdata files. Two zip files are available for public download: a monthly data zip file and a weekly data zip file. These include the aggregate data. To access these files, go to the "Download" tab and select "Other." Ensure you have enough storage space before proceeding, as the files are large.

As of April 2024, almost 32 percent of global Instagram audiences were aged between 18 and 24 years, and 30.6 percent of users were aged between 25 and 34 years. Overall, 16 percent of users belonged to the 35 to 44 year age group.

              Instagram users

              With roughly one billion monthly active users, Instagram belongs to the most popular social networks worldwide. The social photo sharing app is especially popular in India and in the United States, which have respectively 362.9 million and 169.7 million Instagram users each.

              Instagram features

              One of the most popular features of Instagram is Stories. Users can post photos and videos to their Stories stream and the content is live for others to view for 24 hours before it disappears. In January 2019, the company reported that there were 500 million daily active Instagram Stories users. Instagram Stories directly competes with Snapchat, another photo sharing app that initially became famous due to it’s “vanishing photos” feature.
              As of the second quarter of 2021, Snapchat had 293 million daily active users.

Marta Kowal1*, Piotr Sorokowski1, Agnieszka Sorokowska1, Małgorzata Dobrowolska2, Katarzyna Pisanski1, Anna Oleszkiewicz1, 51, Toivo Aavik3, Grace Akello5, Charlotte Alm6, Naumana Amjad7, Afifa Anjum7, Kelly Asao8, Chiemezie S. Atama9, Derya Atamtürk Duyar10, Richard Ayebare11, Mons Bendixen12, Aicha Bensafia15, Boris Bizumic14, Mahmoud Boussena15, David M. Buss8, Marina Butovskaya16, Seda Can17, Katarzyna Cantarero18, Antonin Carrier19, Hakan Cetinkaya17, Daniel Conroy-Beam20, Marco A. Correa Varella21, Rosa M. Cueto22, Marcin Czub1, Daria Dronova16, Seda Dural17, Izzet Duyar10, Berna Ertugrul10, Agustín Espinosa22, Ignacio Estevan23, Carla S. Esteves24, Tomasz Frąckowiak1, Jorge C. Graduño25, Farida Guemaz13, Mária Haľamová26, Marina Horvat27, Ivana Hromatko28, Chin-Ming Hui29, Herak Iskra19, Jas L. Jaafar30, Feng Jiang31, Konstantinos Kafetsios32, Tina Kavcic33, Leif Edward Ottesen Kennair12, Nicolas Kervyn19, Nils C. Köbis34, András Láng36, Georgina R. Lennard14, Ernesto León22, Torun Lindholm6, Giulia Lopez37, Mohammad Madallh Alhabahba38, Alvaro Mailhos23, Zoi Manesi34, Rocio Martinez39, Sarah L. McKerchar14, Norbert Meskó36, Girishwar Misra40, Hoang Moc Lan41, Conal Monaghan14, Emanuel C. Mora42, Alba Moya-Garofano39, Bojan Musil27, Jean C. Natividade43, George Nizharadze44, Elisabeth Oberzaucher45, Mohd S. Omar Fauzee46, Ernest Onyishi9, Baris Özener10, Ariela F. Pagani37, Vilmante Pakalniskiene47, Miriam Parise37, Farid Pazhoohi48, Mariia Perun49, Annette Pisanski42, 50, Camelia Popa21, Pavol Prokop52, 53, Muhammad Rizwan54, Mario Sainz4, Svjetlana Salkičević28, Ruta Sargautyte47, Ivan Sarmany-Schuller26, Susanne Schmehl45, Oksana Senyk49, Rizwana Shaikh55, Shivantika Sharad56, Franco Simonetti57, Meri Tadinac28, Truong Thi Khanh Ha41, Trinh Thi Linh41, Karina Ugalde González58, Olga Uhryn59, Nguyen Van Luot41, Christin- Melanie Vauclair24, Luis D. Vega Araya58, Gyesook Yoo60, Stanislava Yordanova Stoyanova61, Zainab F. Zadeh62, Marta Zaťková26, Maja Zupančič35.1University of Wrocław, Wrocław, Poland.2Silesian University of Technology, Gliwice, Poland.3University of Tartu, Tartu, Estonia.4School of Psychology, University of Monterrey, Nuevo León, Mexico.5Gulu University, Gulu, Uganda.6Stockholm University, Stockholm, Sweden.7University of the Punjab, Lahore, Pakistan.8University of Texas at Austin, Austin, U.S.A.9University of Nigeria, Nsukka, Nigeria.10Istanbul University, Istanbul, Turkey.11THETA Uganda, Kampala, Uganda.12Norwegian University of Science and Technology (NTNU), Trondheim, Norway.13University Setif2, Algeria.14Australian National University, Canberra, Australia.15University Algiers2, Algeria.16Institute of ethnology and anthropology, Moscow, Russia.17Izmir University of Economics, Izmir, Turkey.18SWPS University of Social Sciences and Humanities, Wrocław, Poland.19Catholic University of Louvain, Louvain-la-Neuve, Belgium.20University of California Santa Barbara, Santa Barbara, U.S.A.21University of São Paulo, São Paulo, Brazil.22Pontifical Catholic University of Peru, Lima, Perú.23University of the Republic Uruguay, Montevideo, Uruguay. 24Instituto Universitário de Lisboa (ISCTE-IUL), CIS-IUL, Lisbon, Portugal.25National Autonomous University of Mexico, ENES, Morelia, Mexico.26Institute of Experimental Psychology, Centre of Social and Psychological Sciences SAS, Bratislava, Slovakia.27University of Maribor, Maribor, Slovenia.28University of Zagreb, Zagreb, Croatia.29Chinese University of Hong Kong, Hong Kong, China.30University of Malaya, Kuala Lumpur, Malaysia.31Huaqiao University, Quanzhou, China.32University of Crete, Crete, Greece.33University of Primorska, Koper, Slovenia.34University of Amsterdam, Amsterdam, Netherlands35University of Ljubljana, Ljubljana, Slovenia.36University of Pécs, Pécs, Hungary.37Università Cattolica del Sacro Cuore, Milan, Italy.38Middle East University, Amman, Jordan.39University of Granada, Grenada, Spain.40University of Delhi, Delhi, India.41University of Social Sciences and Humanities, Hanoi, Vietnam.42University of Havana, Havana, Cuba.43Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, Brazil.44Free University of Tbilisi, Tbilisi, Georgia45University of Vienna, Vienna, Austria.46University Utara Malaysia, Sintok, Malaysia.47Vilnius University, Vilnius, Lithuania.48University of Minho, Braga, Portugal. 49Ivan Franko National University of Lviv, Lviv, Ukraine.50University of Alberta, Edmonton, Canada51Smell and Taste Clinic, Department of Otorinolaryngology, Dresden, Germany.52Comenius University, Bratislava, Slovakia.53Slovak Academy of Sciences, Bratislava, Slovakia.54COMSATS University Islamabad, Islamabad, Pakistan.55Aga Khan University Hospital, Karachi, Pakistan.56Vivekananda College, University of Delhi, Delhi, India.57Pontifical Catholic University of Chile, Santiago, Chile.58Latin University of Costa Rica, San José, Costa Rica.59Lviv State University of Internal Affairs, Lviv, Ukraine.60Kyung Hee University, Seoul, Republic of Korea.61South-West University "Neofit Rilski", Blagoevgrad, Bulgaria.62Bahria University, Karachi, Pakistan.* Correspondence: Marta Kowal marta.kowal2@uwr.edu.pl

Cristiano Ronaldo has one of the most popular Instagram accounts as of April 2024.

              The Portuguese footballer is the most-followed person on the photo sharing app platform with 628 million followers. Instagram's own account was ranked first with roughly 672 million followers.

              How popular is Instagram?

              Instagram is a photo-sharing social networking service that enables users to take pictures and edit them with filters. The platform allows users to post and share their images online and directly with their friends and followers on the social network. The cross-platform app reached one billion monthly active users in mid-2018. In 2020, there were over 114 million Instagram users in the United States and experts project this figure to surpass 127 million users in 2023.

              Who uses Instagram?

              Instagram audiences are predominantly young – recent data states that almost 60 percent of U.S. Instagram users are aged 34 years or younger. Fall 2020 data reveals that Instagram is also one of the most popular social media for teens and one of the social networks with the biggest reach among teens in the United States.

              Celebrity influencers on Instagram
              Many celebrities and athletes are brand spokespeople and generate additional income with social media advertising and sponsored content. Unsurprisingly, Ronaldo ranked first again, as the average media value of one of his Instagram posts was 985,441 U.S. dollars.