9 datasets found
  1. e

    cnn.com Traffic Analytics Data

    • analytics.explodingtopics.com
    Updated Oct 1, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). cnn.com Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/cnn.com
    Explore at:
    Dataset updated
    Oct 1, 2025
    Variables measured
    Global Rank, Monthly Visits, Authority Score, US Country Rank, Mass Media Category Rank
    Description

    Traffic analytics, rankings, and competitive metrics for cnn.com as of October 2025

  2. cnn.com Website Traffic, Ranking, Analytics [October 2025]

    • semrush.ebundletools.com
    Updated Nov 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Semrush (2025). cnn.com Website Traffic, Ranking, Analytics [October 2025] [Dataset]. https://semrush.ebundletools.com/website/cnn.com/overview/
    Explore at:
    Dataset updated
    Nov 12, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://semrush.ebundletools.com/company/legal/terms-of-service/https://semrush.ebundletools.com/company/legal/terms-of-service/

    Time period covered
    Nov 12, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    cnn.com is ranked #38 in US with 396.29M Traffic. Categories: Newspapers. Learn more about website traffic, market share, and more!

  3. cnn.co.jp Website Traffic, Ranking, Analytics [October 2025]

    • semrush.ebundletools.com
    Updated Nov 12, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Semrush (2025). cnn.co.jp Website Traffic, Ranking, Analytics [October 2025] [Dataset]. https://semrush.ebundletools.com/website/cnn.co.jp/overview/
    Explore at:
    Dataset updated
    Nov 12, 2025
    Dataset authored and provided by
    Semrushhttps://fr.semrush.com/
    License

    https://semrush.ebundletools.com/company/legal/terms-of-service/https://semrush.ebundletools.com/company/legal/terms-of-service/

    Time period covered
    Nov 12, 2025
    Area covered
    Worldwide
    Variables measured
    visits, backlinks, bounceRate, pagesPerVisit, authorityScore, organicKeywords, avgVisitDuration, referringDomains, trafficByCountry, paidSearchTraffic, and 3 more
    Measurement technique
    Semrush Traffic Analytics; Click-stream data
    Description

    cnn.co.jp is ranked #498 in JP with 6.83M Traffic. Categories: . Learn more about website traffic, market share, and more!

  4. Leading news websites in the U.S. 2025, by monthly visits

    • statista.com
    Updated Jun 25, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Leading news websites in the U.S. 2025, by monthly visits [Dataset]. https://www.statista.com/statistics/381569/leading-news-and-media-sites-usa-by-share-of-visits/
    Explore at:
    Dataset updated
    Jun 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024
    Area covered
    United States
    Description

    In April 2025, the news website with the most monthly visits in the United States was nytimes.com, with a total of ***** million monthly visits in that month. In second place was cnn.com with just over *** million visits, followed by foxnews.com with almost a ****** of a million. Online news consumption in the U.S. Americans get their news in a variety of ways, but social media is an increasingly popular option. A survey on social media news consumption revealed that ** percent of Twitter users regularly used the site for news, and Facebook and Reddit were also popular for news among their users. Interestingly though, social media is the least trusted news sources in the United States. News and trust Trust in news sources has become increasingly important to the American news consumer amidst the spread of fake news, and the public are more vocal about whether or not they have faith in a source to report news correctly. Ongoing discussions about the credibility, accuracy and bias of news networks, anchors, TV show hosts, and news media professionals mean that those looking to keep up to date tend to be more cautious than ever before. In general, news audiences are skeptical. In 2020, just **** percent of respondents to a survey investigating the perceived objectivity of the mass media reported having a great deal of trust in the media to report news fully, accurately, and fairly.

  5. traffic sign classfication model(cnn) h5 file

    • kaggle.com
    zip
    Updated May 9, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    KimSeungK (2022). traffic sign classfication model(cnn) h5 file [Dataset]. https://www.kaggle.com/datasets/kimseungk/traffic-sign-classfication-modelcnn-h5-file
    Explore at:
    zip(4005903 bytes)Available download formats
    Dataset updated
    May 9, 2022
    Authors
    KimSeungK
    Description

    Dataset

    This dataset was created by KimSeungK

    Contents

  6. Mapillary Traffic Sign Dataset annotation files

    • kaggle.com
    Updated Mar 11, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ivan Lonel (2022). Mapillary Traffic Sign Dataset annotation files [Dataset]. https://www.kaggle.com/datasets/ivanlonel/mapillary-traffic-sign-dataset-annotation-files
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 11, 2022
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Ivan Lonel
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Description

    This is intended as a basis for conversion between image annotation formats only. For the complete dataset (including the actual images these files annotate), refer to Mapillary's website.

    This Mapillary Traffic Sign Dataset is provided by Mapillary AB under the Creative Commons Attribution NonCommercial Share Alike (CC BY-NC-SA) license.

    Picture from: Ertler C., Mislej J., Ollmann T., Porzi L., Neuhold G., Kuang Y. (2020) The Mapillary Traffic Sign Dataset for Detection and Classification on a Global Scale. In: Vedaldi A., Bischof H., Brox T., Frahm JM. (eds) Computer Vision – ECCV 2020. ECCV 2020. Lecture Notes in Computer Science, vol 12368. Springer, Cham. https://doi.org/10.1007/978-3-030-58592-1_5

  7. Average percentage of improvement of each model over naive approach.

    • plos.figshare.com
    xls
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alberto Mozo; Bruno Ordozgoiti; Sandra Gómez-Canaval (2023). Average percentage of improvement of each model over naive approach. [Dataset]. http://doi.org/10.1371/journal.pone.0191939.t004
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0191939.t004
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alberto Mozo; Bruno Ordozgoiti; Sandra Gómez-Canaval
    License

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

    Description

    Average percentage of improvement of each model over naive approach.

  8. Variance of the time series after first difference for each month.

    • plos.figshare.com
    xls
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alberto Mozo; Bruno Ordozgoiti; Sandra Gómez-Canaval (2023). Variance of the time series after first difference for each month. [Dataset]. http://doi.org/10.1371/journal.pone.0191939.t002
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0191939.t002
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alberto Mozo; Bruno Ordozgoiti; Sandra Gómez-Canaval
    License

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

    Description

    Variance of the time series after first difference for each month.

  9. Errors obtained by convolutional neural networks with single resolution...

    • plos.figshare.com
    xls
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Alberto Mozo; Bruno Ordozgoiti; Sandra Gómez-Canaval (2023). Errors obtained by convolutional neural networks with single resolution input. [Dataset]. http://doi.org/10.1371/journal.pone.0191939.t005
    Explore at:
    xlsAvailable download formats
    Unique identifier
    https://doi.org/10.1371/journal.pone.0191939.t005
    Dataset updated
    May 30, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Alberto Mozo; Bruno Ordozgoiti; Sandra Gómez-Canaval
    License

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

    Description

    Errors obtained by convolutional neural networks with single resolution input.

  10. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
(2025). cnn.com Traffic Analytics Data [Dataset]. https://analytics.explodingtopics.com/website/cnn.com

cnn.com Traffic Analytics Data

Explore at:
Dataset updated
Oct 1, 2025
Variables measured
Global Rank, Monthly Visits, Authority Score, US Country Rank, Mass Media Category Rank
Description

Traffic analytics, rankings, and competitive metrics for cnn.com as of October 2025

Search
Clear search
Close search
Google apps
Main menu