The average daily time spent with digital media in the United States is expected to increase from 439 minutes (seven hours and 19 minutes) in 2022 to close to eight hours in 2025. Higher online media consumption in 2020 was partially attributed to the coronavirus outbreak. Impact of COVID-19 on media consumption In-home media consumption grew sharply in March 2020 in the first stages of the COVID-19 pandemic. More than 40 percent of U.S. respondents reported spending more time watching shows and films on streaming services, and 25 percent were reading books or listening to audiobooks more than usual. Despite predictions that this spike in media usage would fall after the initial implementation of shelter-in-place orders, consumers also continued spending more time with media in the summer of 2020. The same survey, held in July that year, also asked participants about their plans to continue with their increased media consumption after the pandemic has run its course. This garnered different responses, with only a handful of U.S. adults planning to carry on investing more time in most media activities. Again though, watching movies and shows on streaming platforms and reading or listening to books were the most popular options.

A global survey conducted in March 2020 revealed that the coronavirus has had a direct impact on in-home media consumption around the world, with ** percent of total respondents professing to have read more books or listened to more audiobooks at home and ** percent having listened to more radio due to the COVID-19 pandemic, whilst more than ** percent of consumers spent longer on messaging services and social media. Interestingly, although at least ** percent of respondents in most countries said that they were watching more news coverage, figures for Australia and the United States were lower, amounting to just ** and ** percent respectively. Australians were also the least likely to be reading more newspapers; just **** percent of consumers said that they were doing so compared to the global total of ** percent. Whilst ** percent of Italians were spending longer on messaging services, in Japan the same was true for only ***** percent of respondents, and survey participants from China and the Philippines were by far the most likely to be spending more time on music streaming services.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

Find detailed analysis in Market Research Intellect's Mem Media Consumption Market Report, estimated at USD 45 billion in 2024 and forecasted to climb to USD 70 billion by 2033, reflecting a CAGR of 6.5%.Stay informed about adoption trends, evolving technologies, and key market participants.

Introduction

Video Marketing Statistics: Video marketing has emerged as a cornerstone of digital strategies, leveraging the power of visual content to engage audiences and drive business growth. As video consumption continues to rise, companies across various industries increasingly adopt video as a critical component of their marketing efforts. The statistics surrounding video marketing reflect its growing influence, with metrics highlighting the effectiveness of different video formats, audience preferences, and the impact on consumer behavior.

From how-to guides to thought leadership pieces, video marketing is an essential tool for brands looking to connect more dynamically and impactfully with their target audiences.

Pre-test analysis Y variable (excessive digital media consumption) results using IBM SPSS Statistics 26 for research title "Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level".

The study series "Media Analyse" is an annual, systematic survey of media usage among the German population which is conducted by "Arbeitsgemeinschaft für Media-Analyse (AGMA)“. AGMA includes popular consumer media, advertising agencies and various advertising companies. A random sample is surveyed annually in a personal interview about their media use. The present study from 1997 focuses on the use of electronic media and particularly on television and radio consumption.

The digital media market is experiencing robust growth, driven by increasing internet and smartphone penetration, evolving consumer preferences towards digital content consumption, and the rise of innovative advertising models. The market, estimated at $500 billion in 2025, is projected to maintain a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $1.8 trillion by 2033. This expansion is fueled by the proliferation of streaming services, the increasing popularity of short-form video content, and the continued development of personalized content experiences. Key players such as ViacomCBS, WebMD, and The New York Times Company are strategically investing in content creation, technology, and data analytics to capitalize on these trends. However, challenges remain, including increasing competition, concerns about data privacy, and the need for sustainable monetization strategies in the face of evolving advertising landscapes. The market is segmented by content type (news, entertainment, education), platform (website, mobile app, social media), and geographic region, offering opportunities for targeted growth and investment. The significant growth in the digital media landscape is further propelled by the adoption of advanced technologies like AI and machine learning for content creation, personalization, and targeted advertising. This fosters enhanced user engagement and allows companies to refine their strategies based on real-time data analysis. Regional variations in market penetration and consumer behavior necessitate tailored strategies for different geographic segments. North America and Europe currently dominate the market, but rapid growth in Asia-Pacific and other emerging economies presents substantial opportunities for expansion. The competitive landscape is characterized by both established media giants and agile digital-native companies, leading to constant innovation and consolidation. Successful players will need to focus on delivering high-quality, engaging content, effectively managing user data, and adapting to the evolving technological and regulatory environments.

Pre-test analysis X1 variable (doomscrolling) results using IBM SPSS Statistics 26 for research title "Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level".

Market Research Intellect presents the High Temperature Filter Media Consumption Market Report-estimated at USD 2.5 billion in 2024 and predicted to grow to USD 4.0 billion by 2033, with a CAGR of 6.5% over the forecast period. Gain clarity on regional performance, future innovations, and major players worldwide.

Metaverse-Driven Media Consumption Market size is expected to reach USD 1,654.6 million by 2034, from USD 330.6 million in 2024, growing at a CAGR of 17.4% by 2024-2034

The prevalence of bias in the news media has become a critical issue, affecting public perception on a range of important topics such as political views, health, insurance, resource distributions, religion, race, age, gender, occupation, and climate change. The media has a moral responsibility to ensure accurate information dissemination and to increase awareness about important issues and the potential risks associated with them. This highlights the need for a solution that can help mitigate against the spread of false or misleading information and restore public trust in the media.Data description: This is a dataset for news media bias covering different dimensions of the biases: political, hate speech, political, toxicity, sexism, ageism, gender identity, gender discrimination, race/ethnicity, climate change, occupation, spirituality, which makes it a unique contribution. The dataset used for this project does not contain any personally identifiable information (PII).The data structure is tabulated as follows:Text: The main content.Dimension: Descriptive category of the text.Biased_Words: A compilation of words regarded as biased.Aspect: Specific sub-topic within the main content.Label: Indicates the presence (True) or absence (False) of bias. The label is ternary - highly biased, slightly biased and neutralToxicity: Indicates the presence (True) or absence (False) of bias.Identity_mention: Mention of any identity based on words match.Annotation SchemeThe labels and annotations in the dataset are generated through a system of Active Learning, cycling through:Manual LabelingSemi-Supervised LearningHuman VerificationThe scheme comprises:Bias Label: Specifies the degree of bias (e.g., no bias, mild, or strong).Words/Phrases Level Biases: Pinpoints specific biased terms or phrases.Subjective Bias (Aspect): Highlights biases pertinent to content dimensions.Due to the nuances of semantic match algorithms, certain labels such as 'identity' and 'aspect' may appear distinctively different.List of datasets used : We curated different news categories like Climate crisis news summaries , occupational, spiritual/faith/ general using RSS to capture different dimensions of the news media biases. The annotation is performed using active learning to label the sentence (either neural/ slightly biased/ highly biased) and to pick biased words from the news.We also utilize publicly available data from the following links. Our Attribution to others.MBIC (media bias): Spinde, Timo, Lada Rudnitckaia, Kanishka Sinha, Felix Hamborg, Bela Gipp, and Karsten Donnay. "MBIC--A Media Bias Annotation Dataset Including Annotator Characteristics." arXiv preprint arXiv:2105.11910 (2021). https://zenodo.org/records/4474336Hyperpartisan news: Kiesel, Johannes, Maria Mestre, Rishabh Shukla, Emmanuel Vincent, Payam Adineh, David Corney, Benno Stein, and Martin Potthast. "Semeval-2019 task 4: Hyperpartisan news detection." In Proceedings of the 13th International Workshop on Semantic Evaluation, pp. 829-839. 2019. https://huggingface.co/datasets/hyperpartisan_news_detectionToxic comment classification: Adams, C.J., Jeffrey Sorensen, Julia Elliott, Lucas Dixon, Mark McDonald, Nithum, and Will Cukierski. 2017. "Toxic Comment Classification Challenge." Kaggle. https://kaggle.com/competitions/jigsaw-toxic-comment-classification-challenge.Jigsaw Unintended Bias: Adams, C.J., Daniel Borkan, Inversion, Jeffrey Sorensen, Lucas Dixon, Lucy Vasserman, and Nithum. 2019. "Jigsaw Unintended Bias in Toxicity Classification." Kaggle. https://kaggle.com/competitions/jigsaw-unintended-bias-in-toxicity-classification.Age Bias : Díaz, Mark, Isaac Johnson, Amanda Lazar, Anne Marie Piper, and Darren Gergle. "Addressing age-related bias in sentiment analysis." In Proceedings of the 2018 chi conference on human factors in computing systems, pp. 1-14. 2018. Age Bias Training and Testing Data - Age Bias and Sentiment Analysis Dataverse (harvard.edu)Multi-dimensional news Ukraine: Färber, Michael, Victoria Burkard, Adam Jatowt, and Sora Lim. "A multidimensional dataset based on crowdsourcing for analyzing and detecting news bias." In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, pp. 3007-3014. 2020. https://zenodo.org/records/3885351#.ZF0KoxHMLtVSocial biases: Sap, Maarten, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, and Yejin Choi. "Social bias frames: Reasoning about social and power implications of language." arXiv preprint arXiv:1911.03891 (2019). https://maartensap.com/social-bias-frames/Goal of this dataset :We want to offer open and free access to dataset, ensuring a wide reach to researchers and AI practitioners across the world. The dataset should be user-friendly to use and uploading and accessing data should be straightforward, to facilitate usage.If you use this dataset, please cite us.Navigating News Narratives: A Media Bias Analysis Dataset © 2023 by Shaina Raza, Vector Institute is licensed under CC BY-NC 4.0

Pre-test analysis Z variable (stress level) results using IBM SPSS Statistics 26 for research title "Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level".

Pre-test analysis X1 variable (doomscrolling) results using IBM SPSS Statistics 26 for research title "Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level".

Since the coronavirus outbreak began, consumers around the world have changed their habits accordingly in line with measures imposed in a bid to control the spread of the disease, and this has had a direct impact on media consumption on a global level. Data varies country by country, but figures on increased media consumption among four different generations also reveals certain patterns. For example, Gen Z are ** percent more likely than Boomers to have spent more time listening to music streaming services, whilst Gen X are the most likely to have been listening to the radio more as a result of the COVID-19 pandemic. Tradtional formats were less prefereable to social networks or messaging apps, with newspaper and magazine readership increasing by just * to * percent across all generations.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Fact and Figures page.

IntroductionPrevious studies have explored the impact of social media use on people’s subjective well-being, but there is a lack of discussion on the relationship between social media use, Internet addiction, and subjective well-being, and the research on the influence of digital skills on this relationship is not sufficient. This paper aims to fill these gaps. Based on the flow theory, this paper takes Chinese residents as the research object and uses CGSS 2017 data to analyze the impact of social media use on people’s subjective well-being.MethodsOur study used multiple linear regression models for analysis. To test the hypotheses and the moderated mediation model, we adopted PROCESS models with 5000 bias-corrected bootstrap samples and 95% confidence intervals. All analyses were conducted using SPSS 25.0.ResultsThe empirical analysis shows that social media use has a positive direct effect on subjective well-being, and Internet addiction plays a suppressing role in the relationship between social media use and subjective well-being. In addition, we found that digital skills moderated the positive effect of social media use on Internet addiction and the indirect effect of social media use on subjective well-being through Internet addiction.DiscussionThe conclusion of this paper supports our previous hypothesis. Besides, the theoretical contribution, practical significance, and limitations of this study are discussed based on the results of previous studies.

Media exposure per profile: average number of days per week.

Regression linear (patch coefficient independent variable and dependent variable) as part of path analysis using IBM SPSS Statistics 26 for research title "Doomscrolling and Information Overload on Generation Z: Examining the Link Between Excessive Digital Media Consumption and Stress Level".

Introduction: Social media has become an integrated part of daily life, with an estimated 3 billion social media users worldwide. Adolescents and young adults are the most active users of social media. Research on social media has grown rapidly, with the potential association of social media use and mental health and well-being becoming a polarized and much-studied subject. The current body of knowledge on this theme is complex and difficult-to-follow. The current paper presents a scoping review of the published literature in the research field of social media use and its association with mental health and well-being among adolescents.Methods and Analysis: First, relevant databases were searched for eligible studies with a vast range of relevant search terms for social media use and mental health and well-being over the past five years. Identified studies were screened thoroughly and included or excluded based on prior established criteria. Data from the included studies were extracted and summarized according to the previously published study protocol.Results: Among the 79 studies that met our inclusion criteria, the vast majority (94%) were quantitative, with a cross-sectional design (57%) being the most common study design. Several studies focused on different aspects of mental health, with depression (29%) being the most studied aspect. Almost half of the included studies focused on use of non-specified social network sites (43%). Of specified social media, Facebook (39%) was the most studied social network site. The most used approach to measuring social media use was frequency and duration (56%). Participants of both genders were included in most studies (92%) but seldom examined as an explanatory variable. 77% of the included studies had social media use as the independent variable.Conclusion: The findings from the current scoping review revealed that about 3/4 of the included studies focused on social media and some aspect of pathology. Focus on the potential association between social media use and positive outcomes seems to be rarer in the current literature. Amongst the included studies, few separated between different forms of (inter)actions on social media, which are likely to be differentially associated with mental health and well-being outcomes.

It facilitates monitoring of the EU’s digital targets for 2030 set by the Digital Compass for the EU's Digital Decade, evolving around four cardinal points: skills, digital transformation of businesses, secure and sustainable digital infrastructures, and digitalization of public services.

The aim of the European ICT usage survey is to collect and disseminate harmonised and comparable information on the use of Information and Communication Technologies and e-commerce in enterprises at European level.

Coverage:

The characteristics to be provided are drawn from the following list of subjects:

• ICT systems and their usage in enterprises,
• use of the internet and other electronic networks by enterprises,
• e-commerce,
• e-business processes and organisational aspects,
• ICT competence in the enterprise and the need for ICT skills,
• barriers to the use of ICT, the internet and other electronic networks, e-commerce and e-business processes,
• ICT security and incidents,
• access to and use of the internet and other network technologies for connecting objects and devices (Internet of Things),
• access to and use of technologies providing the ability to connect to the internet or other networks from anywhere at any time (ubiquitous connectivity),
• use of Artificial Intelligence,
• use of Cloud computing,
• data analytics,
• use of 3D printing,
• use of robotics,
• use of social media,
• internet advertising
• ICT and the environment.

Breakdowns:

• by size class,
• by NACE Rev. 2 categories,
• by NUTS 2 regions (until 2010 and on optional basis since 2023)

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.