How much time do people spend on social media?

              As of 2024, the average daily social media usage of internet users worldwide amounted to 143 minutes per day, down from 151 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of three hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in
              the U.S. was just two hours and 16 minutes. Global social media usageCurrently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively.
              People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events friends. Global impact of social mediaSocial media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general.
              During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased a polarization in politics and heightened everyday distractions.

Dataset Title: Impact of Social Media Algorithms on Consumer Behavior in Rondon do Pará, Brazil (2025)

General Description:

This dataset provides quantitative information for analyzing the influence of social media algorithms on consumer behavior in the municipality of Rondon do Pará, Brazil. The data were compiled from public sources and complemented by empirical online responses, encompassing variables related to social media usage, exposure to personalized advertisements, and online purchasing decisions. The dataset aims to support research in the fields of digital marketing, consumer behavior, and regional economic development.

Methodology:

The research adopts a quantitative, descriptive, and applied approach, based on the analysis of secondary dataobtained from public databases such as IBGE, SEBRAE, Statista, Ebit/Nielsen, and Meta Business Suite, as well as locally collected online data. Variables are grouped into thematic blocks as follows: 1. Sociodemographic Profile – age, average income, occupation, and internet usage frequency. 2. Use of Social Media – average daily usage time, most accessed platforms, and advertisement exposure frequency. 3. Algorithmic Influence and Personalization – engagement rates, retention time, and targeted content. 4. Role of Digital Influencers – audience reach, credibility, and purchase decision impact. 5. Online Consumer Behavior – purchase frequency, motivations, and comparison between online and physical shopping. 6. Impact on Local Commerce – perception of e-commerce substitution effects and influence on local economic activity.

Data analysis was conducted using Microsoft Excel and IBM SPSS Statistics, applying descriptive statistics, Pearson’s correlation, and regional comparative analysis.

Data Format and Structure:

• File type: .csv • Number of observations: 102 valid records • Number of variables: 21 columns corresponding to the thematic categories above • Encoding: UTF-8 • Delimiter: Comma (,)

Main Variables:

• age (numeric) • gender (categorical) • monthly_income (numeric, in BRL) • daily_social_media_use (numeric, hours/day) • most_used_social_media (categorical) • ad_exposure_frequency (Likert scale 1–6) • ad_influence_level (Likert scale 1–6) • trust_in_influencers (Likert scale 1–6) • online_purchase_preference (binary: 0 = physical store, 1 = online) • impact_on_local_commerce (Likert scale 1–6)

Temporal Coverage: January – October 2025

Geographical Coverage: Rondon do Pará, State of Pará, Brazil.

Categories

Business to Business Marketing

Acknowledgement

Carlos Cesar Santos

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 was initially used in the paper "The use and impact of TikTok in the 2022 Brazilian presidential election". It contains data from official TikTok accounts of the two main candidates running for the 2022 Brazilian presidential election, Lula (@lulaoficial) and Bolsonaro (@bolsonaromessiasjair). It was collected 576 posts of the candidates and more than 540 million interactions on these posts. Data encompass three periods of 2022: (i) Pre-campaign (Jun 30 to Aug 15); (ii) 1st round campaign (Aug 16 to Oct 1); and (iii) 2nd round campaign (Oct 2 - Oct 29). It contains two files. (i) Accounts: How many followers the candidate has, on a day-to-day basis, starting on Sept 5; and (ii) Posts and interactions: Individual data and metrics of each post, including date of the post, text, link for the post, number of plays, likes, comments and shares.

As of February 2025, the average daily social media usage of internet users worldwide amounted to 141 minutes per day, down from 143 minutes in the previous year. Currently, the country with the most time spent on social media per day is Brazil, with online users spending an average of 3 hours and 49 minutes on social media each day. In comparison, the daily time spent with social media in the U.S. was just 2 hours and 16 minutes. Global social media usage Currently, the global social network penetration rate is 62.3 percent. Northern Europe had an 81.7 percent social media penetration rate, topping the ranking of global social media usage by region. Eastern and Middle Africa closed the ranking with 10.1 and 9.6 percent usage reach, respectively. People access social media for a variety of reasons. Users like to find funny or entertaining content and enjoy sharing photos and videos with friends, but mainly use social media to stay in touch with current events and friends. Global impact of social media Social media has a wide-reaching and significant impact on not only online activities but also offline behavior and life in general. During a global online user survey in February 2019, a significant share of respondents stated that social media had increased their access to information, ease of communication, and freedom of expression. On the flip side, respondents also felt that social media had worsened their personal privacy, increased polarization in politics, and heightened everyday distractions.

Instagram’s most popular post

              As of April 2024, the most popular post on Instagram was Lionel Messi and his teammates after winning the 2022 FIFA World Cup with Argentina, posted by the account @leomessi. Messi's post, which racked up over 61 million likes within a day, knocked off the reigning post, which was 'Photo of an Egg'. Originally posted in January 2021, 'Photo of an Egg' surpassed the world’s most popular Instagram post at that time, which was a photo by Kylie Jenner’s daughter totaling 18 million likes.
              After several cryptic posts published by the account, World Record Egg revealed itself to be a part of a mental health campaign aimed at the pressures of social media use.

              Instagram’s most popular accounts

              As of April 2024, the official Instagram account @instagram had the most followers of any account on the platform, with 672 million followers. Portuguese footballer Cristiano Ronaldo (@cristiano) was the most followed individual with 628 million followers, while Selena Gomez (@selenagomez) was the most followed woman on the platform with 429 million. Additionally, Inter Miami CF striker Lionel Messi (@leomessi) had a total of 502 million. Celebrities such as The Rock, Kylie Jenner, and Ariana Grande all had over 380 million followers each.

              Instagram influencers

              In the United States, the leading content category of Instagram influencers was lifestyle, with 15.25 percent of influencers creating lifestyle content in 2021. Music ranked in second place with 10.96 percent, followed by family with 8.24 percent. Having a large audience can be very lucrative: Instagram influencers in the United States, Canada and the United Kingdom with over 90,000 followers made around 1,221 US dollars per post.

              Instagram around the globe

              Instagram’s worldwide popularity continues to grow, and India is the leading country in terms of number of users, with over 362.9 million users as of January 2024. The United States had 169.65 million Instagram users and Brazil had 134.6 million users. The social media platform was also very popular in Indonesia and Turkey, with 100.9 and 57.1, respectively. As of January 2024, Instagram was the fourth most popular social network in the world, behind Facebook, YouTube and WhatsApp.

Context

I've tried looking for an r/Brasil/ dataset here in Kaggle havent found one, so I made one for the Brasilian Kaggle members

About

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F1842206%2Fba05c955cb821a7eda803978522e5651%2F_97c573bb-5daf-447b-bea3-3ac2228fe765_small.jpeg?generation=1736338975262911&alt=media" alt="">

Created last Feb 15, 2008, r/Brasil/ is labeled

A casa dos brasileiros no Reddit. Leia as regras e participe de nossa comunidade! The Brazilian community on Reddit. Feel free to post in English or Portuguese! Também se sinta convidado para conhecer nosso Lemmy! https://lemmy.eco.br/

This dataset can be used to extract insights from the trending topics and discussions in the subreddit.

Banner Image

Created with Bing Image Creator

This dataset presents the anonymized interaction retweet network collected during the 2022 Brazilian elections. For constructing our dataset, we used a query composed of a list of election-related words in Portuguese: "eleição OR eleições OR eleitoral OR eleitorais". Data collection resulted in more than 15 million tweets (88.4% of retweets). In this dataset, we included only retweet relations between users. The file is in GML graph format. The links have attributes that reflect the dates of the interactions.

Internet Usage: Social Media Market Share: Desktop: Odnoklassniki data was reported at 0.000 % in 29 Mar 2024. This stayed constant from the previous number of 0.000 % for 28 Mar 2024. Internet Usage: Social Media Market Share: Desktop: Odnoklassniki data is updated daily, averaging 0.000 % from Mar 2024 (Median) to 29 Mar 2024, with 9 observations. The data reached an all-time high of 0.050 % in 25 Mar 2024 and a record low of 0.000 % in 29 Mar 2024. Internet Usage: Social Media Market Share: Desktop: Odnoklassniki data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Brazil – Table BR.SC.IU: Internet Usage: Social Media Market Share.

The study of the role of collaboration networks in the production of knowledge is important and has attracted the attention of a substantial number of researchers and policy makers around the world. This paper aims to analyze the structural properties of relationship networks among Finance researchers in Brazil. By applying Social Network Analysis to data from 532 articles produced by 806 researchers between 2003 and 2012, this article's results suggest that: (a) the Brazilian environment has structural features that indicate the existence of Small Worlds; (b) a small fraction (~3%) of researchers has regular production; (c) the higher the centrality of researchers in the network, the greater the number of articles published by them.

In these polarized and challenging times, not even perceptions of personal risk are immune to partisanship. This article introduces results from a new survey with an embedded social media experiment conducted during the first months of the COVID-19 pandemic in Brazil. Descriptive results show that pro-government and opposition partisans report very different expectations of health and job risks. Job and health policy have become wedge issues that elicit partisan responses. The analysis exploits random variation in the survey recruitment to show the effects of the president’s first speech on national television on the perceived risk and the moderating effect of partisanship. The article presents a framing experiment that models key cognitive mechanisms driving partisan differences in perceptions of health risks and job security during the COVID-19 crisis.

Full profile of 10,000 people in Brazil - download here, data schema here, with more than 40 data points including - Full Name - Education - Location - Work Experience History and many more!

There are additionally millions more Brazilian people profiles available, visit the LinkDB product page here.

Our LinkDB database is an exhaustive database of publicly accessible LinkedIn people and companies profiles. It contains close to 500 Million people and companies profiles globally.

This dataset contains files for the replication of "Racial Social Norms among Brazilian Students: Academic Performance, Social Status and Racial Identification". Data comes from the project Attitudes and Relationships among Primary and High School Students. The project interviewed more than 4 thousand students in five Brazilian public schools. It contains information about the students, their beliefs, and friendship ties between them. Paper Abstract: Studies in the United States show that minority students might face a trade-off between better academic performance and peer acceptance, the so-called ``acting white''. This paper investigates the relationship between grades and social status in five Brazilian schools and how it differs between racial groups. Social status is measured using friendship ties among students, assigning higher status to students more central in the network. The racial composition of friendship ties is diverse, although friendships tends to favor racial peers, especially for black students. We find a positive correlation between grades and social status of nonwhite students that is driven by their status among their white classmates. This differs from the pattern observed in the US, where a negative correlation between minorities' grades and their status among racial peers is not compensated by their status among white students. We also investigate how academic performance is associated with racial identity choice conditional on skin color, finding a weak negative relationship between higher grades and the odds of classification as mixed-race.

Collection of 3,925,366 tweets and 18,413 online news around the online discussion about COVID-19 in Brazil. The data from Twitter were collected through Twitterscraper Python library and we considered a set of keywords in Portuguese regarding to COVID-19. In order to facilitate the identification of tweets that have hashtags, media and retweets for researchers or data enthusiasts, we created three specific datasets for each of these categories. The news on COVID-19 was collected from the UOL portal, the most popular Brazilian website. All the data were gathered from January to May, 2020. These dataset can attract the attention from communities such as data science, social science, natural language processing, tourism, infodemiology, and public health.

Installed in April 2021, the COVID-19 Parliamentary Commission of Inquiry (PCI) aimed to investigate omissions and irregularities committed by the federal government during the COVID pandemic in Brazil, which resulted in the death of more than 660,000 Brazilians and placed it among the countries with the most deaths caused by COVID-19.

This dataset has 3,397,933 tweets, splitted in days and weeks, extracted over a period of 26 weeks. It contains textual data from tweets, data about users (@ and description), and data about interactions between users. It can be used to improve textual cleaning techniques, toxic speech detection, clustering, and even Social Network Analysis and social graph studies. Data format is parquet.

This dataset is part of a paper[1], published by its author, which aimed to do a social network analysis related to the CPI topic, to investigate evidence of political polarization. The source codes and jupyter notebooks are available on GitHub.

[1] Uniting Politics and Pandemic: a Social Network Analysis on the COVID Parliamentary Commission of Inquiry in Brazil. WebMedia 2022. Lucas Raniére J. Santos, Leandro B. Marinho, Caludio E. C. Campelo.

linkedin profile scrapper

Pyhton script for scrapping top 10 LinkedIn profiles from Google search

clone this repository

pip install -r requirements.txt

edit parameters.py file and add your login and password choose parameters search keys as you wish remember to change the path to your chomedriver.exe in linkedin_scrap.py file

For educational purposes only

###### Title: Top 20 Countries with the Largest TikTok User Base (2024)

### Subtitle: An Insight into TikTok's Global Reach and Popularity

Description: This dataset provides the top 20 countries with the highest number of TikTok users as of 2024. TikTok, as one of the most widely used social media platforms globally, continues to grow in popularity, attracting users from diverse demographics and regions. Understanding where the majority of TikTok users reside can offer valuable insights for marketers, businesses, and researchers interested in global digital trends. Dataset Information:

Source: Compiled from various statistical reports including (RouteNote: Digital Music Distribution
)ps://​(Business of Apps
)ntries-by-tiktok-users/) and Business of Apps.
Time Period: 2024
Number of Records: 20 countries
Global User Base: Over 1.5 billion monthly active users worldwide

Columns Description:

Country: The name of the country.
Users: The estimated number of TikTok users in that country (in millions).
Percentage of Global Users: The percentage share of global TikTok users that each country represents.
Year: The year the data was collected (2024).

Key Insights:

The United States leads with over 150 million users, followed by Indonesia with 126 million, and Brazil with 99 million.
Countries from diverse regions such as Asia (Indonesia, Vietnam, the Philippines), Latin America (Brazil, Mexico), and Europe (France, Germany) feature prominently in this list.
TikTok has shown exceptional growth in emerging markets like Southeast Asia, reflecting the app's global appeal beyond just the Western world.

Potential Uses:

Market Analysis: This dataset can be used to analyze TikTok's global distribution, helping brands and content creators to target specific regions.
Social Media Research: Researchers can study trends in TikTok adoption and usage across different regions.
Business Strategy: This dataset is ideal for companies looking to expand their digital marketing strategies or launch influencer campaigns in regions with the most active users.

Tags:

TikTok, Social Media, Global Users, Digital Trends, Social Media Marketing

This repository contains data sets and materials for a gold standard elaboration on toxicity and incivility in the digital sphere based on human coding to benchmark algorithmic classification tasks with transformers and LLMs. The labelling progress is 62%.

We are labelling two samples of novel datasets of political digital interactions on Twitter (rebranded as X). The first set comprises almost 5 million data points from three Latin American protest events: (a) protests against the coronavirus and judicial reform measures in Argentina during August 2020; (b) protests against education budget cuts in Brazil in May 2019; and (c) the social outburst in Chile stemming from protests against the underground fare hike in October 2019. We are focusing on interactions in Spanish to elaborate a gold standard for digital interactions in this language, therefore, we prioritise Argentinian and Chilean data. The second set contains more than 31 million messages and more than 9 million interactions between 2010 and 2022, covering the election of members of the first Constitutional Convention in Chile, the drafting process and the referendum in which the proposal was rejected.

This project is generously funded by the OpenAI Academic Programme, 2024 FAE-UDP Research Grant, and partially by the St Hilda's College Muriel Wise Fund at the University of Oxford. The Training Data Lab research group also logistically supports this project.

Dataset

This dataset was created by Raphael Fontes

Released under CC0: Public Domain

Contents

Abstract The Brazilian administrative reform was included in the 1988 Constitution, and it has promoted decentralized policies, including the municipalization of health and popular participation. The objective of this article is to understand how the implementation of these democratic changes were studied in the international literature. The scientific production on Brazilian public health administration was analyzed by studying social networks. The search was conducted in the Web of Science database, using administration terms, delimited by “Brazil” and “health,” and using BibExcel and Ucinet software. The network of publications in administration was cohesive, containing practices of deliberative democracy and social participation. By including the term “health,” more variations were found, particularly on the Brazilian Health Reform and on the decentralization of the National Health System, with a more critical and reflexive focus, albeit with a clear gap on social accountability.