100+ datasets found
  1. U.S. kids & teens with 4hrs+ screen time before and during COVID-19 pandemic...

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). U.S. kids & teens with 4hrs+ screen time before and during COVID-19 pandemic 2020 [Dataset]. https://www.statista.com/statistics/1189204/us-teens-children-screen-time-daily-coronavirus-before-during/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020
    Area covered
    United States
    Description

    As of June 2020, ** percent of parents to U.S. teens aged 14 to 17 years stated that their kids were spending more than four hours per day on electronic devices since the start of the COVID-19 pandemic. Only ** percent of responding parents stated that their teens had used electronic devices daily for more than four hours before the COVID-19 pandemic. Overall, the pandemic triggered a rise in the use of electronic devices among American children under 13 and teenagers with screentime now double that of what it used to be across all age groups. YouTube, Netflix and Instagram dominateIn an ongoing survey between 2015 and 2020 it was reported that the most popular video platforms among teens in the U.S. were Netflix and YouTube, and the pandemic has done little to shift that. Cable TV viewership continued to decline throughout 2020, while Hulu rose in popularity during this time. Meanwhile, despite a slight drop in viewership Netflix and YouTube retained their positions as the top two video services after the onset of the pandemic. YouTube and Instagram were also named the most popular social media channels among teens and young adults, as of the third quarter of 2020. Due to their booming popularity, it is no wonder that advertisers have been increasingly targeting these networks, with social media add spend having been on the rise each year since 2017. The biggest growth surge has come from mobile advertising, while spend on desktop advertising has remained nearly the same. Texting and phone calls most preferred during lockdownAs most of the world entered lockdown during the peak of the Coronavirus pandemic in April 2020, teens in the U.S. were asked which technologies they had used to virtually connect with friends and family during this time. 'Texting' was the most preferred method, named by over ** percent followed by phone calls. Meanwhile, video chat and social media came in third.

  2. Share of entertainment screen time activities in the U.S 2024, by age

    • statista.com
    • ai-chatbox.pro
    Updated Jun 20, 2025
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    Statista (2025). Share of entertainment screen time activities in the U.S 2024, by age [Dataset]. https://www.statista.com/statistics/1281974/us-users-time-spent-on-selected-media-activities-age/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    United States
    Description

    According to a survey of media users in the United States fielded in December 2024, TV took up ** percent of time spent with entertainment screens by respondents over the age of 35 years. The surveyed Gen Z consumers spent ** percent of their entertainment screen time with TV, while they devoted ** percent of that time to gaming.

  3. Children's screen time, 2 hours per day or less, by sex, household...

    • open.canada.ca
    • data.urbandatacentre.ca
    • +4more
    csv, html, xml
    Updated Jan 17, 2023
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    Statistics Canada (2023). Children's screen time, 2 hours per day or less, by sex, household population aged 6 to 17, 2015 Canadian Community Health Survey - Nutrition, Canada and provinces [Dataset]. https://open.canada.ca/data/en/dataset/55a4e3da-6726-4abb-a573-6d3bd5b02c08
    Explore at:
    xml, html, csvAvailable download formats
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Area covered
    Canada
    Description

    This table contains 2376 series, with data for years 2015 - 2015 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (Not all combinations are available): Geography (11 items: Canada; Newfoundland and Labrador; Prince Edward Island; Nova Scotia; ...);  Age group (3 items: Total, 6 to 17 years; 6 to 11 years; 12 to 17 years);  Sex (3 items: Both sexes; Males; Females);  Children's screen time (3 items: Total population for the variable children's screen time; 2 hours or less of screen time per day; More than 2 hours of screen time per day);  Characteristics (8 items: Number of persons; Low 95% confidence interval, number of persons; High 95% confidence interval, number of persons; Coefficient of variation for number of persons; ...).

  4. f

    Raw Data Screen Time

    • figshare.com
    xlsx
    Updated Mar 5, 2025
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    Mohammad Sidiq; Balamurugan Janakiraman (2025). Raw Data Screen Time [Dataset]. http://doi.org/10.6084/m9.figshare.28540994.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Mar 5, 2025
    Dataset provided by
    figshare
    Authors
    Mohammad Sidiq; Balamurugan Janakiraman
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Raw Data Set for Screen Time cross-sectional study.

  5. Daily entertainment screen time by children and teens in the U.S. 2021, by...

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Daily entertainment screen time by children and teens in the U.S. 2021, by gender [Dataset]. https://www.statista.com/statistics/1312622/average-daily-entertainment-screen-time-children-teens-us-gender/
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    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 29, 2021 - Oct 25, 2021
    Area covered
    United States
    Description

    Female teens aged 13 to 18 years had an average daily entertainment screen time of ***** hours and *** minutes in the United States in 2021. In comparison, male tweens had an average screen time of *** hours and ** minutes.

  6. Group Health Dataset (Sleep and Screen Time)

    • zenodo.org
    csv
    Updated Apr 8, 2025
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    Gogate; Gogate (2025). Group Health Dataset (Sleep and Screen Time) [Dataset]. http://doi.org/10.5281/zenodo.15171250
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    csvAvailable download formats
    Dataset updated
    Apr 8, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Gogate; Gogate
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description
    Group Health (Sleep and Screen Time) Dataset


    Title: Group Health (Sleep and Screen Time) Dataset

    Description: This dataset includes biometric and self-reported sleep-related information from users wearing health monitoring devices. It tracks heart rate data, screen time, and sleep quality ratings, intended for health analytics, sleep research, or machine learning applications.
    Creator: Eindhoven University of Technology
    Version: 1.0
    License: CC-BY 4.0
    Keywords: sleep health, wearable data, heart rate, screen time, sleep rating, health analytics
    Format: CSV (.csv)
    Size: 301,556 records
    PID: 10.5281/zenodo.15171250

    Column Descriptions

    - Uid (int64): Unique identifier for the user. Example: `2`
    - Sid (object): Session ID representing device/session (e.g., wearable device). Example: `huami.32093/11110030`
    - Key (object): The type of health metric (e.g., 'heart_rate'). Example: `heart_rate`
    - Time (int64): Unix timestamp of when the measurement was taken. Example: `1743911820`
    - Value (object): JSON object containing measurement details (e.g., heart rate BPM). Example: `{"time":1743911820,"bpm":64}`
    - UpdateTime (float64): Timestamp when the record was last updated. Example: `1743911982.0`
    - screentime (object): Reported or detected screen time during sleep period. Example: `0 days 08:25:00`
    - expected_sleep (object): Expected sleep time duration (possibly self-reported or algorithmic). Example: `0 days 07:45:00`
    - sleep_rating (float64): Numerical rating of sleep quality. Example: `0.65`

    Notes
    - The `Value` field stores JSON-like strings which should be parsed for specific values such as heart rate (`bpm`).
    - Missing data in `screentime`, `expected_sleep`, and `sleep_rating` should be handled carefully during analysis.
    - Timestamps are in Unix format and may need conversion to readable datetime.
    Provenance
    The Group Health (Sleep and Screen Time) Dataset was collected by the students at the Eindhoven University of Technology as part of a health monitoring study. Participants wore wearable health devices (Mi Band Smartwatches) that tracked biometric data, including heart rate, screen time, and self-reported sleep information. The dataset was compiled from multiple sessions of device usage over time the course of two weeks, with the data anonymized for privacy and research purposes. The original data was already in a standardized csv format and was altered for preprocessing purposes and analysis. This dataset is openly shared under a CC-BY 4.0 license, enabling users to reuse and modify the data while properly attributing the original creators
  7. Data for Screentime among School Children

    • figshare.com
    zip
    Updated Nov 29, 2024
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    Mohammad Sidiq; Balamurugan Janakiraman; faizan kashoo; Aksh Chahal (2024). Data for Screentime among School Children [Dataset]. http://doi.org/10.6084/m9.figshare.27291969.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 29, 2024
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Mohammad Sidiq; Balamurugan Janakiraman; faizan kashoo; Aksh Chahal
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The data set presents the sociodemographic data of school children and correlation with variables

  8. Screen time data

    • kaggle.com
    Updated Sep 29, 2021
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    Sophia MacQueen Pooler (2021). Screen time data [Dataset]. https://www.kaggle.com/sophiamacqueenpooler/screen-time-data/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 29, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sophia MacQueen Pooler
    Description

    Dataset

    This dataset was created by Sophia MacQueen Pooler

    Contents

  9. Total daily entertainment screen time among tweens and teens in the U.S....

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Total daily entertainment screen time among tweens and teens in the U.S. 2015-2021 [Dataset]. https://www.statista.com/statistics/1312086/total-daily-entertainment-screen-time-tweens-teens-us/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The total daily entertainment screen time of teens, 13 to 18 year olds, amounted to ***** hours and ** minutes in the United States in 2021. Nevertheless, this figure for teens show an increase from the figure recorded in 2015, when it amounted to *** hours and ** minutes.

  10. Average screen time per day permitted by parents among children in the U.S....

    • statista.com
    Updated Jul 10, 2025
    + more versions
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    Statista (2025). Average screen time per day permitted by parents among children in the U.S. 2018 [Dataset]. https://www.statista.com/statistics/804167/average-amount-screen-time-children-usa-ethnicity/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 11, 2018 - Jan 16, 2018
    Area covered
    United States
    Description

    The statistic presents data on the average amount of screen time parents allow their child a day in the United States as of January 2018, by ethnicity. During the survey, ** percent of respondents of Hispanic respondents stated that they allowed their child *********** hours of screen time per day.

  11. Hours of screen time allowed for children in the U.S. 2022, by employment...

    • statista.com
    Updated Jul 11, 2025
    + more versions
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    Statista (2025). Hours of screen time allowed for children in the U.S. 2022, by employment situation [Dataset]. https://www.statista.com/statistics/1341282/hours-screen-time-allowed-us-children-by-employment-situation/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 1, 2022 - Sep 27, 2022
    Area covered
    United States
    Description

    According to a survey of parents in the United States conducted in September 2022, besides time granted for homework and educational purposes, ** percent of respondents who work fully in-person allowed over ***** hours of screen time to their children daily. In comparison, approximately *** in ** percent of respondents who worked fully or partially in remote allowed over ***** hours of daily engagement with digital devices.

  12. c

    Data from: Screen use, sleep duration, daytime somnolence, and academic...

    • ri.conicet.gov.ar
    • dacytar.mincyt.gob.ar
    • +2more
    Updated Aug 28, 2023
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    Perez Lloret, Santiago; Pérez Chada, Roberto Daniel (2023). Screen use, sleep duration, daytime somnolence, and academic failure in school-aged adolescents [Dataset]. https://ri.conicet.gov.ar/handle/11336/178295
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    Dataset updated
    Aug 28, 2023
    Authors
    Perez Lloret, Santiago; Pérez Chada, Roberto Daniel
    License

    Attribution-NoDerivs 2.5 (CC BY-ND 2.5)https://creativecommons.org/licenses/by-nd/2.5/
    License information was derived automatically

    Dataset funded by
    Universidad Austral. Facultad de Ciencias Biomédicas
    Description

    We surveyed 1,257 12- to 18-year-old adolescents attending 52 schools in urban or suburban areas of Argentina. We recorded the daily exposure to various screen-based activities, including video- and online-gaming, social media, TV or streaming. Screen time and device type in the hour before bedtime, sleep patterns during weekdays and weekends, somnolence (Pediatric Daytime Sleepiness Scale score), and grades in language and mathematics were also assessed.

  13. m

    Dataset: parent worry about screen time

    • data.mendeley.com
    Updated Sep 20, 2019
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    Andreas Lieberoth (2019). Dataset: parent worry about screen time [Dataset]. http://doi.org/10.17632/gj3tk6h5wt.1
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    Dataset updated
    Sep 20, 2019
    Authors
    Andreas Lieberoth
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    .csv data file

  14. Indian Kids Screentime 2025

    • kaggle.com
    Updated Jul 8, 2025
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    Ankush Panday (2025). Indian Kids Screentime 2025 [Dataset]. http://doi.org/10.34740/kaggle/dsv/12412513
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 8, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ankush Panday
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This dataset simulates screen time patterns of 9712 Indian children aged 8 to 18 years, built using real-world trends and scientific studies conducted in India between 2023–2024. It combines urban and rural demographics, reflecting differences in device access, screen habits, and health outcomes.

    Screen time is broken down by:

    Age and gender

    Primary screen device (e.g., smartphone, TV)

    Time split between educational and recreational use

    Whether screen time exceeds Indian Academy of Pediatrics (IAP) guidelines

    Likely health impacts (e.g., poor sleep, eye strain, anxiety)

    📊 Background & Motivation In recent years, screen exposure among Indian children has surged, particularly post-COVID. Studies show:

    Adolescents average 4–5 hours/day on screens.

    Over 70% exceed the healthy recommended screen time.

    83% of rural teens report excessive usage.

    High screen time correlates with sleep problems, obesity risk, and anxiety.

  15. Average Daily Screen Time for Children

    • kaggle.com
    Updated Mar 24, 2025
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    AKshay (2025). Average Daily Screen Time for Children [Dataset]. https://www.kaggle.com/datasets/ak0212/average-daily-screen-time-for-children/versions/1
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 24, 2025
    Dataset provided by
    Kaggle
    Authors
    AKshay
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    This datas real-world trends in children's screen time usage. It includes data on educational, recreational, and total screen time for children aged 5 to 15 years, with breakdowns by gender (Male, Female, Other/Prefer not to say) and day type (Weekday, Weekend). The dataset follows expected behavioral patterns:

    Screen time increases with age (~1.5 hours/day at age 5 to 6+ hours/day at age 15).

    Recreational screen time dominates, making up 65–80% of total screen time.

    Weekend screen time is 20–30% higher than weekdays, with a larger increase for teenagers.

    Slight gender-based variations in recreational screen time.

    The dataset contains natural variability, ensuring realism, and the sample size decreases slightly with age (e.g., 500 respondents at age 5, 300 at age 15).

    This dataset is ideal for data analysis, visualization, and machine learning experiments related to children's digital habits. 🚀

  16. Daily entertainment screen time among children in the U.S. in 2021, by...

    • statista.com
    Updated Jun 20, 2025
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    Statista (2025). Daily entertainment screen time among children in the U.S. in 2021, by activity [Dataset]. https://www.statista.com/statistics/1312623/average-daily-entertainment-screen-time-children-us-activity/
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Sep 29, 2021 - Oct 25, 2021
    Area covered
    United States
    Description

    Children aged 8 to 12 years spent an average of *** hours and ** minutes watching TV or videos daily in the United States in 2021. However, they spent an average of **** minutes reading books or articles online.

  17. Daily time spent using phones in the U.S. 2023, by generation

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Daily time spent using phones in the U.S. 2023, by generation [Dataset]. https://www.statista.com/statistics/1178640/daily-phone-screen-time-by-gen-us/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2023
    Area covered
    United States
    Description

    According to a 2023 survey conducted in the United States, Gen Z respondents were spending the most time using their phones, over *** hours a day. By contrast, Baby Boomers recorded a daily screen time of roughly ***** hours and ** minutes.  Many users feel addicted to smartphones As technology’s role in our everyday life increases, consumers tend to spend more and more time using electronic devices, whether it is for working and studying on laptops and tablets, watching TV or scrolling social media on smartphones. As a consequence, many users across all generations feel somewhat addicted to smartphones. According to a 2023 survey conducted in the United States, Gen Z users felt addicted to such devices the most, followed by Millennials. Taking a step back and nostalgia for early 2000s How can we combat the overwhelming urge to stay connected and take a step back from our always-on reality? In an effort to reduce screen time, many users, especially those in Gen Z, are expressing a sense of nostalgia for early 2000s technology, particularly dumb phones and wired headphones. For instance, during a 2024 survey in the United States, ** percent of Gen Z respondents stated they would be interested in purchasing dumb phones, followed by ** percent of Millennials - a trend that might involve more users in the future.

  18. e

    Research Data for Mobile Games and Screen Time: Effects on Children’s Health...

    • scholar-lgztf.lolm.eu.org
    • research-l8qya.lolm.eu.org
    csv, json
    Updated Jul 16, 2025
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    Dr. Donna Perez (2025). Research Data for Mobile Games and Screen Time: Effects on Children’s Health [Dataset]. http://doi.org/10.1069/ljt4q81364347350613201631-data
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jul 16, 2025
    Authors
    Dr. Donna Perez
    Variables measured
    Variable A, Variable B, Variable C, Correlation Index, Statistical Significance
    Description

    Complete dataset used in the research study on Mobile Games and Screen Time: Effects on Children’s Health by Dr. Donna Perez

  19. d

    Parents Behaviour of Restricting Children's Screen Time

    • search.dataone.org
    Updated Nov 22, 2023
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    Russell, Douglas (2023). Parents Behaviour of Restricting Children's Screen Time [Dataset]. http://doi.org/10.7910/DVN/E3LUYX
    Explore at:
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Russell, Douglas
    Description

    This data was used for the study 'A Theory of Planned Behaviour investigation into factors related to parents’ restriction of 3-7 year old children’s screen time.' It contains data on 183 parents aged between 21 and 50 of children aged 3- 7 year olds regarding the Theory of Planned Behaviour variables of attitude, social norms, perceived control, intention and behaviour.

  20. Daily screen time of youth in France in 2024, by age

    • statista.com
    • ai-chatbox.pro
    Updated Jun 24, 2025
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    Statista (2025). Daily screen time of youth in France in 2024, by age [Dataset]. https://www.statista.com/statistics/1299876/daily-screen-time-youth-france/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 25, 2024 - Feb 2, 2024
    Area covered
    France
    Description

    As of 2024, 18 percent of French children aged between seven to 12 years old spent ***** hours or more on a screen outside of school. For teenagers aged 16 to 19 years old, that share explodes to reach ** percent that same year.

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Statista (2025). U.S. kids & teens with 4hrs+ screen time before and during COVID-19 pandemic 2020 [Dataset]. https://www.statista.com/statistics/1189204/us-teens-children-screen-time-daily-coronavirus-before-during/
Organization logo

U.S. kids & teens with 4hrs+ screen time before and during COVID-19 pandemic 2020

Explore at:
10 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jun 23, 2025
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Jun 2020
Area covered
United States
Description

As of June 2020, ** percent of parents to U.S. teens aged 14 to 17 years stated that their kids were spending more than four hours per day on electronic devices since the start of the COVID-19 pandemic. Only ** percent of responding parents stated that their teens had used electronic devices daily for more than four hours before the COVID-19 pandemic. Overall, the pandemic triggered a rise in the use of electronic devices among American children under 13 and teenagers with screentime now double that of what it used to be across all age groups. YouTube, Netflix and Instagram dominateIn an ongoing survey between 2015 and 2020 it was reported that the most popular video platforms among teens in the U.S. were Netflix and YouTube, and the pandemic has done little to shift that. Cable TV viewership continued to decline throughout 2020, while Hulu rose in popularity during this time. Meanwhile, despite a slight drop in viewership Netflix and YouTube retained their positions as the top two video services after the onset of the pandemic. YouTube and Instagram were also named the most popular social media channels among teens and young adults, as of the third quarter of 2020. Due to their booming popularity, it is no wonder that advertisers have been increasingly targeting these networks, with social media add spend having been on the rise each year since 2017. The biggest growth surge has come from mobile advertising, while spend on desktop advertising has remained nearly the same. Texting and phone calls most preferred during lockdownAs most of the world entered lockdown during the peak of the Coronavirus pandemic in April 2020, teens in the U.S. were asked which technologies they had used to virtually connect with friends and family during this time. 'Texting' was the most preferred method, named by over ** percent followed by phone calls. Meanwhile, video chat and social media came in third.

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