A survey conducted in the United States in August 2022 found that white adults were the least frequent users of social media as a news source, with a third stating that they never used social networks for news. Conversely, Black Americans were the most likely to use social media for news on a daily basis.

As reported by a survey conducted in 2024 on digital news consumption, over 70 percent of respondents from India stated that they sourced their news online, which included social media, making it a popular form of accessing news. In comparison, 40 percent of respondents stated that they used print media as a news source during that period.

Social media was the most popular news platform amongst Americans as of February 2022 and was used most regularly by women, with 39 percent of female respondents to a survey saying that they used social networks for news on a daily basis. Meanwhile, twice the share of men than women reported reading newspapers each day.

Introduction

Fake News Statistics: Fake news has become a major problem in today's digital age in recent years. It spreads quickly through social media and other online platforms, often misleading people. Fake news spreads faster than real news, thus creating confusion and mistrust among global people. In 2024, current statistics and trends reveal that many people have encountered fake news online, and many have shared it unknowingly.

Fake news affects public opinion, political decisions, and even relationships. This article helps us understand how widespread it is and helps us address several issues more effectively. Raising awareness and encouraging critical thinking can reduce its impact, in which reliable statistics and research are essential for uncovering the truth and stopping the spread of false information. Everyone plays a role in combating fake news.

About this dataset

Context

The dataset tabulates the Media population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Media. The dataset can be utilized to understand the population distribution of Media by age. For example, using this dataset, we can identify the largest age group in Media.

Key observations

The largest age group in Media, PA was for the group of age 25 to 29 years years with a population of 655 (11.18%), according to the ACS 2018-2022 5-Year Estimates. At the same time, the smallest age group in Media, PA was the 75 to 79 years years with a population of 127 (2.17%). Source: U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Media is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Media total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Media Population by Age. You can refer the same here

State-owned news media remained strong in China. As of February 2025, CCTV, China's national television broadcaster was the leading news media brand in the country, scoring 93.3 points in a brand index. The second place went to People's Daily, followed by Xinhua News Agency.

Introduction

Social Media Marketing Statistics: Social media marketing is a key part of any digital marketing plan today. With over 50% of the world’s population using social media, brands need to be active on these platforms. But it’s not just about making profiles and posting content. Effective social media marketing involves keeping up with changing algorithms and trends and understanding the behaviors of your target audience. Social media’s interactive and engaging nature helps businesses connect with their audience in ways they couldn’t before.

This opens up new opportunities for engaging with people, building the brand, and doing direct marketing. We shall shed more light on Social Media Marketing Statistics through this article.

Drawing on Bourdieu’s field theory, this study investigated how the quality and reputation of news outlets were related to their social media capital. Social media capital is conceptualized as the resources that news organizations can generate via social media efforts, and measured by examining each outlet’s audience size and engagement metrics on Twitter. To triangulate findings, we used social media metrics extracted from (1) the entire population of Twitter users, as well as (2) a representative sample of U.S. Twitter users whose demographics were identified through a survey. Our results suggest that journalistic reputation is a reliable predictor of a news outlet’s social media capital. News site quality, however, was not significantly associated with social media metrics. In fact, the quality of news sites was at times related negatively to social media capital, such that, controlling for other factors, news from low-quality sites received more retweets than news from high-quality sites. This pattern was especially pronounced among politically conservative users.

About this dataset

Context

The dataset tabulates the data for the Media, IL population pyramid, which represents the Media population distribution across age and gender, using estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates. It lists the male and female population for each age group, along with the total population for those age groups. Higher numbers at the bottom of the table suggest population growth, whereas higher numbers at the top indicate declining birth rates. Furthermore, the dataset can be utilized to understand the youth dependency ratio, old-age dependency ratio, total dependency ratio, and potential support ratio.

Key observations

• Youth dependency ratio, which is the number of children aged 0-14 per 100 persons aged 15-64, for Media, IL, is 17.3.
• Old-age dependency ratio, which is the number of persons aged 65 or over per 100 persons aged 15-64, for Media, IL, is 22.2.
• Total dependency ratio for Media, IL is 39.5.
• Potential support ratio, which is the number of youth (working age population) per elderly, for Media, IL is 4.5.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2018-2022 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group for the Media population analysis. Total expected values are 18 and are define above in the age groups section.
• Population (Male): The male population in the Media for the selected age group is shown in the following column.
• Population (Female): The female population in the Media for the selected age group is shown in the following column.
• Total Population: The total population of the Media for the selected age group is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Media Population by Age. You can refer the same here

About this dataset

Context

The dataset tabulates the Media population by age cohorts (Children: Under 18 years; Working population: 18-64 years; Senior population: 65 years or more). It lists the population in each age cohort group along with its percentage relative to the total population of Media. The dataset can be utilized to understand the population distribution across children, working population and senior population for dependency ratio, housing requirements, ageing, migration patterns etc.

Key observations

The largest age group was 18 to 64 years with a poulation of 68 (68.69% of the total population). Source: U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Age cohorts:

• Under 18 years
• 18 to 64 years
• 65 years and over

Variables / Data Columns

• Age Group: This column displays the age cohort for the Media population analysis. Total expected values are 3 groups ( Children, Working Population and Senior Population).
• Population: The population for the age cohort in Media is shown in the following column.
• Percent of Total Population: The population as a percent of total population of the Media is shown in the following column.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Media Population by Age. You can refer the same here

Twitter user statistics show a varying degree of how often users login to the platform. Here’s what it looks like.

Taichung City Flat Media Advertising and News Management Statistics

In 2024, the leading news source which respondents to a survey in the United Kingdom reported using the most was BBC One, with ** percent of participants aged 16 or older saying that this was the source they used for news nowadays. This was ** percentage points lower than in 2018, though still higher than that of ITV and Facebook. One to watch in the years to come will be TikTok, with only *** percent reporting to use it for news in 2020, a figure which had jumped to ** percent in 2023.

The data presented in this data project were collected in the context of two H2020 research projects: ‘Enhanced migration measures from a multidimensional perspective’(HumMingBird) and ‘Crises as opportunities: Towards a level telling field on migration and a new narrative of successful integration’(OPPORTUNITIES). The current survey was fielded to investigate the dynamic interplay between media representations of different migrant groups and the governmental and societal (re)actions to immigration. With these data, we provide more insight into these societal reactions by investigating attitudes rooted in values and worldviews. Through an online survey, we collected quantitative data on attitudes towards: Immigrants, Refugees, Muslims, Hispanics, Venezuelans News Media Consumption Trust in News Media and Societal Institutions Frequency and Valence of Intergroup Contact Realistic and Symbolic Intergroup Threat Right-wing Authoritarianism Social Dominance Orientation Political Efficacy Personality Characteristics Perceived COVID-threat, and Socio-demographic Characteristics For the adult population aged 25 to 65 in seven European countries: Austria Belgium Germany Hungary Italy Spain Sweden And for ages ranged from 18 to 65 for: United States of America Colombia The survey in the United States and Colombia was identical to the one in the European countries, although a few extra questions regarding COVID-19 and some region-specific migrant groups (e.g. Venezuelans) were added. We collected the data in cooperation with Bilendi, a Belgian polling agency, and selected the methodology for its cost-effectiveness in cross-country research. Respondents received an e-mail asking them to participate in a survey without specifying the subject matter, which was essential to avoid priming. Three weeks of fieldwork in May and June of 2021 resulted in a dataset of 13,645 respondents (a little over 1500 per country). Sample weights are included in the dataset and can be applied to ensure that the sample is representative for gender and age in each country. The cooperation rate ranged between 12% and 31%, in line with similar online data collections.

About this dataset

Context

The dataset tabulates the Non-Hispanic population of Media by race. It includes the distribution of the Non-Hispanic population of Media across various race categories as identified by the Census Bureau. The dataset can be utilized to understand the Non-Hispanic population distribution of Media across relevant racial categories.

Key observations

With a zero Hispanic population, Media is 100% Non-Hispanic. Among the Non-Hispanic population, the largest racial group is White alone with a population of 89 (89.90% of the total Non-Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (for Non-Hispanic) for the Media
• Population: The population of the racial category (for Non-Hispanic) in the Media is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Media total Non-Hispanic population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Media Population by Race & Ethnicity. You can refer the same here

Users can download data and reports regarding the experience of Latinos in the United States. Users can also interact with maps to view population trends over time. Background The Pew Hispanic Center website contains reports and datasets regarding the experience of Latinos in the United States. Topics include, but are not limited to: homeownership, elections, criminal justice system, and education. User Functionality Users can view and download reports. Users can also interact with maps to obtain demographic information and view population trends from 1980 to 2010. Datasets are also available to download directly into SPSS stat istical software. Surveys administered by the Pew Hispanic Center include: Hispanic Health Care Survey, National Survey of Latinos, Hispanic Religion Survey, Survey of Mexicans Living in the U.S. on Absentee Voting in Mexican Elections, Survey o f Mexican Migrants, and the Survey of Latinos on the News Media. Demographic information is available by race/ethnicity. Data Notes Report information is available on a national and county level and is indicated with the report or dataset. Demographic trends in population growth and dispersion are available for 1980 through 2010. Each report and dataset indicate years in which the data were collected and the geographic unit.

According to a survey held in the United States in the summer of 2023, almost ** percent of Gen Z adults used social media as their primary source of information about the 2024 presidential election. Gen Z were noticeably the heaviest users of social media news about the election, whereas boomers preferred TV news. Engagement with election news via newspapers was lowest among Gen Z but similar across older adults, and network radio news was overall the least popular information source among all respondents.

According to a survey held among adults in the United States in February 2022, ABC and CBS were considered to be the most credible news sources in the country, with 61 percent of respondents believing the organizations to be very or somewhat credible. Sources which fared less well were MSNBC, Fox News, National Public Radio, and HuffPost, with less than 50 percent of adults agreeing that they found these to be reliable news outlets. The credibility of all the news sources in the ranking was higher in 2022 than in the previous year, though the figures in 2021 were particularly low.

Trust and bias in news Finding trustworthy, impartial news sources can be difficult for audiences in a world where fake news is in constant circulation and bias in news is a growing concern. More than 50 percent of total respondents to a survey held in early 2020 believed that there was a fair amount or great deal of bias in the news sources they used most often. The same study found that close to 70 percent of respondents were more concerned with bias in news that other people may consume than with their own news source.

A report exploring trust in news found that radio, network news, and newspapers were the most trusted news sources in the United States, whereas social media was not considered reliable in this regard. The lack of trust in news on social media has yet to affect consumption – social networks are the most used source of news among many consumers, particularly younger generations. In fact, some news consumers are moving away from official news platforms altogether and getting their updates from influencers rather than journalists.

U.S. Census Bureau QuickFacts statistics for Ocean Acres CDP, New Jersey. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Plainedge CDP, New York. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.