In April 2025, hindustantimes.com was the fastest growing news site worldwide, with a YOY traffic increase of 89 percent. Indiatimes.com and india.com also saw substantial visitor growth, with a year-over-year increase of 86 percent and 58 perecnt respectively.

A global study found that the number of referrals to news and media sites from Facebook fell from 2.3 billion in December 2022 to as low as 1.2 billion in November 2023, marking a 48 percent decline year on year. X (formerly Twitter) and Instagram also saw decreases in aggregate traffic to news and media properties.

In June 2020, referrals accounted for over 61 percent of news website traffic in the United States, down from an almost 64 percent share in the entirety of 2019. Organic search traffic increased to 23.27 percent.

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.

Franceinfo.fr was the most visited news site in France in July 2024, with more than *** million unique visitors. Online publications LeFigaro.fr and Bfmtv.com rounded out the top three with around *** million and *** million visits, respectively. Newspaper consumption trends in France A survey on newspaper and magazine readership in France revealed that roughly ** percent of adults engaged with printed or digital newspapers regularly as of 2021, whereas another ** percent of respondents stated they never read newspapers of any sort. While interest in the news has remained strong over the years, data also showed that spending on print media in France has continuously declined for over a decade. There is no denying that the proliferation of social media and other digital platforms that deliver news in real-time and around the clock has caused many print publications to experience declines in readership and relevance. Online news is the latest craze The latest data on online news audiences in France indicated that approximately ** percent of internet users visited news websites in 2021. This share grew from just over ** percent in 2015, highlighting the ever-increasing appeal of online publications among French readers. Many of the country’s most popular newspapers have consequently moved online to combat dwindling audiences, and looking at a readership breakdown of Le Figaro, for example, this shift has proven to be immensely successful. Meanwhile, readers are also consuming more news content via smartphones than ever, with Le Monde and Le Figaro leading news applications in France boasting over ** million visits in 2022.

The economics news website Boursorama.com topped the ranking as the most visited online economics and legal newspaper as of July 2024 in France, with a total number of visits exceeding 41.62 million visits. The websites LesEchos.fr and Capital.fr came in second and third positions, with around 26 and 25 million visits respectively in France in July 2024.

Author: Víctor Yeste. Universitat Politècnica de Valencia.The object of this study is the design of a cybermetric methodology whose objectives are to measure the success of the content published in online media and the possible prediction of the selected success variables.In this case, due to the need to integrate data from two separate areas, such as web publishing and the analysis of their shares and related topics on Twitter, has opted for programming as you access both the Google Analytics v4 reporting API and Twitter Standard API, always respecting the limits of these.The website analyzed is hellofriki.com. It is an online media whose primary intention is to solve the need for information on some topics that provide daily a vast number of news in the form of news, as well as the possibility of analysis, reports, interviews, and many other information formats. All these contents are under the scope of the sections of cinema, series, video games, literature, and comics.This dataset has contributed to the elaboration of the PhD Thesis:Yeste Moreno, VM. (2021). Diseño de una metodología cibermétrica de cálculo del éxito para la optimización de contenidos web [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/176009Data have been obtained from each last-minute news article published online according to the indicators described in the doctoral thesis. All related data are stored in a database, divided into the following tables:tesis_followers: User ID list of media account followers.tesis_hometimeline: data from tweets posted by the media account sharing breaking news from the web.status_id: Tweet IDcreated_at: date of publicationtext: content of the tweetpath: URL extracted after processing the shortened URL in textpost_shared: Article ID in WordPress that is being sharedretweet_count: number of retweetsfavorite_count: number of favoritestesis_hometimeline_other: data from tweets posted by the media account that do not share breaking news from the web. Other typologies, automatic Facebook shares, custom tweets without link to an article, etc. With the same fields as tesis_hometimeline.tesis_posts: data of articles published by the web and processed for some analysis.stats_id: Analysis IDpost_id: Article ID in WordPresspost_date: article publication date in WordPresspost_title: title of the articlepath: URL of the article in the middle webtags: Tags ID or WordPress tags related to the articleuniquepageviews: unique page viewsentrancerate: input ratioavgtimeonpage: average visit timeexitrate: output ratiopageviewspersession: page views per sessionadsense_adunitsviewed: number of ads viewed by usersadsense_viewableimpressionpercent: ad display ratioadsense_ctr: ad click ratioadsense_ecpm: estimated ad revenue per 1000 page viewstesis_stats: data from a particular analysis, performed at each published breaking news item. Fields with statistical values can be computed from the data in the other tables, but total and average calculations are saved for faster and easier further processing.id: ID of the analysisphase: phase of the thesis in which analysis has been carried out (right now all are 1)time: "0" if at the time of publication, "1" if 14 days laterstart_date: date and time of measurement on the day of publicationend_date: date and time when the measurement is made 14 days latermain_post_id: ID of the published article to be analysedmain_post_theme: Main section of the published article to analyzesuperheroes_theme: "1" if about superheroes, "0" if nottrailer_theme: "1" if trailer, "0" if notname: empty field, possibility to add a custom name manuallynotes: empty field, possibility to add personalized notes manually, as if some tag has been removed manually for being considered too generic, despite the fact that the editor put itnum_articles: number of articles analysednum_articles_with_traffic: number of articles analysed with traffic (which will be taken into account for traffic analysis)num_articles_with_tw_data: number of articles with data from when they were shared on the media’s Twitter accountnum_terms: number of terms analyzeduniquepageviews_total: total page viewsuniquepageviews_mean: average page viewsentrancerate_mean: average input ratioavgtimeonpage_mean: average duration of visitsexitrate_mean: average output ratiopageviewspersession_mean: average page views per sessiontotal: total of ads viewedadsense_adunitsviewed_mean: average of ads viewedadsense_viewableimpressionpercent_mean: average ad display ratioadsense_ctr_mean: average ad click ratioadsense_ecpm_mean: estimated ad revenue per 1000 page viewsTotal: total incomeretweet_count_mean: average incomefavorite_count_total: total of favoritesfavorite_count_mean: average of favoritesterms_ini_num_tweets: total tweets on the terms on the day of publicationterms_ini_retweet_count_total: total retweets on the terms on the day of publicationterms_ini_retweet_count_mean: average retweets on the terms on the day of publicationterms_ini_favorite_count_total: total of favorites on the terms on the day of publicationterms_ini_favorite_count_mean: average of favorites on the terms on the day of publicationterms_ini_followers_talking_rate: ratio of followers of the media Twitter account who have recently published a tweet talking about the terms on the day of publicationterms_ini_user_num_followers_mean: average followers of users who have spoken of the terms on the day of publicationterms_ini_user_num_tweets_mean: average number of tweets published by users who spoke about the terms on the day of publicationterms_ini_user_age_mean: average age in days of users who have spoken of the terms on the day of publicationterms_ini_ur_inclusion_rate: URL inclusion ratio of tweets talking about terms on the day of publicationterms_end_num_tweets: total tweets on terms 14 days after publicationterms_ini_retweet_count_total: total retweets on terms 14 days after publicationterms_ini_retweet_count_mean: average retweets on terms 14 days after publicationterms_ini_favorite_count_total: total bookmarks on terms 14 days after publicationterms_ini_favorite_count_mean: average of favorites on terms 14 days after publicationterms_ini_followers_talking_rate: ratio of media Twitter account followers who have recently posted a tweet talking about the terms 14 days after publicationterms_ini_user_num_followers_mean: average followers of users who have spoken of the terms 14 days after publicationterms_ini_user_num_tweets_mean: average number of tweets published by users who have spoken about the terms 14 days after publicationterms_ini_user_age_mean: the average age in days of users who have spoken of the terms 14 days after publicationterms_ini_ur_inclusion_rate: URL inclusion ratio of tweets talking about terms 14 days after publication.tesis_terms: data of the terms (tags) related to the processed articles.stats_id: Analysis IDtime: "0" if at the time of publication, "1" if 14 days laterterm_id: Term ID (tag) in WordPressname: Name of the termslug: URL of the termnum_tweets: number of tweetsretweet_count_total: total retweetsretweet_count_mean: average retweetsfavorite_count_total: total of favoritesfavorite_count_mean: average of favoritesfollowers_talking_rate: ratio of followers of the media Twitter account who have recently published a tweet talking about the termuser_num_followers_mean: average followers of users who were talking about the termuser_num_tweets_mean: average number of tweets published by users who were talking about the termuser_age_mean: average age in days of users who were talking about the termurl_inclusion_rate: URL inclusion ratio

In late 2022, the website of the BíoBíoChile radio station was the online news platform with the highest number of unique visitors in Chile at almost seven million. The websites of the newspaper La Tercera followed with around 6.7 million unique visitors in the same period. The two titles were also among the leading online news brands in Chile in 2023.

As of March 2020, the global coronavirus pandemic cause visits to news and information websites in Canada to increase by 19 percent compared to the reference period in January 2020. In comparison, Canadian political news engagements increased by 61 percent. Increased digital engagement was a direct result of the coronavirus pandemic, in which people were recommended to stay home and practice social-distancing while trying to keep up with news regarding developments of current events.

The Views of ABC News Digital Content dataset provides both the number of page/screen views per hour for individual pieces of ABC News content and metadata related to each piece of content. The data is taken from across different ABC digital platforms during the month of May 2016. These platforms include the ABC News desktop and mobile websites and the ABC app (both iOS and Android versions). Each piece of content is represented by its ID and is consistent for the same piece of content across platforms. The URL of the content can be recreated using the platform and this ID. For example, for the “News” platform and id “7373616”, the URL is retrieved using “http://www.abc.net.au/news/7373616”. The content ID is the key which joins the Traffic data with the Content Metadata. The data set covers the period from 2016-05-01 00:00:00 to 2016-05-31 23:59:59.

Rights information

This data includes metadata about existing publicly available stories. In general terms, developers are free to use this data to explore ABC's content. But original stories and images should always be linked to. Stories and photos should not be reproduced in whole on another service. _ The stories themselves and their associated media items still remain the property of ABC and other rights holders where noted._ Full details of copyright and more are listed on abc.net.au: http://www.abc.net.au/conditions.htm

The dataset contains traffic and network characteristics of fake and real news sites.

The current construction sites in the city of Karlsruhe can be called up in this data set. This includes location data of the construction sites as well as other additional information such as the period and originator. ### Data source: Transparency Portal of the City of Karlsruhe under CC-BY 4.0

Does the internet facilitate selective exposure to politically congenial content? To answer this question, I introduce and validate large-N behavioral data on Americans' online media consumption in both 2015 and 2016. I then construct a simple measure of media diet slant and use machine classification to identify individual articles related to news about politics. I find that most people across the political spectrum have relatively moderate media diets, about a quarter of which consist of mainstream news websites and portals. Quantifying the similarity of Democrats' and Republicans' media diets, I find nearly 65% overlap in the two groups' distributions in 2015 and roughly 50% in 2016. An exception to this picture is a small group of partisans who drive a disproportionate amount of traffic to ideologically slanted websites. Overall, the findings support a view that if online "echo chambers" exist, they are a reality for relatively few people who may nonetheless wield disproportionate influence and visibility in society.

Perhaps unsurprisingly, the main traffic source for false information online is social media, which generates 42 percent of fake news traffic. The nature of social networks, most notably the ease of sharing content, allows fake news to spread at a rapid rate – an issue further exacerbated by the fact that many U.S. adults sometimes believe fake news to be real.

Fake news: an ongoing problem

The presence of fake news would be less of an issue if users were more aware of how to identify it and were aware of the risks of sharing such content. Many U.S. news consumers have shared fake news online, and worryingly, ten percent did so deliberately. Adults who are part of that ten percent are just a small portion of people in the United States, and elsewhere in the world, who are responsible for spreading false information. More than 30 percent of U.S. children and teenagers have shared a fake news story online, and over 50 percent of adults in selected countries worldwide have wrongly believed a fake news story.

The result of adults and young consumers alike not only believing fake news, but actively sharing it, is that small, illegitimate websites producing such content are able to grow more successful. Such websites have the potential to tarnish or seriously damage the reputation of any persons mentioned within a fake news article, promote events or policies which do not exist, and mislead readers about important topics they are trying to keep up with. A 2019 survey revealed that most adults believe that fake news and misinformation will get worse in the next five years, and the sad truth is that this will likely be the case unless news consumers grow more discerning about what they post and share online.

For more information on CDC.gov metrics please see http://www.cdc.gov/metrics/

In February 2024, the number of website visits of VnExpress reached ***** million, indicating a sharp decrease from the previous month. VnExpress was among the leading news and media websites in Vietnam in the same period.

This statistic gives information on the most popular news and politics websites in MENA in 2015, by share of traffic. During the survey period, the Egyptian website Youm7.com ranked second with a traffic share of eight percent.

Among the top 100 referring websites to Amazon in the United States, the majority of the traffic directed to Amazon came from news and media websites during Amazon Prime Days in 2019 and 2020. While directed traffic from both news and media websites and other sites stayed the same across the last two Amazon Prime Day events, share of traffic coming to Amazon from coupon and rebate websites saw an increase in October 2020 and reached to 16 percent, marking an increase of four percent from July 2019.

In February 2024, YouTube was the leading website for media in Vietnam based on traffic, with total visits amounting to over *** billion. VnExpress, a Vietnamese news website belonging to FPT corporation, was the second-most popular website in the same period based on the number of website visits.

In November 2024, Google.com was the most popular website worldwide with 136 billion average monthly visits. The online platform has held the top spot as the most popular website since June 2010, when it pulled ahead of Yahoo into first place. Second-ranked YouTube generated more than 72.8 billion monthly visits in the measured period. The internet leaders: search, social, and e-commerce Social networks, search engines, and e-commerce websites shape the online experience as we know it. While Google leads the global online search market by far, YouTube and Facebook have become the world’s most popular websites for user generated content, solidifying Alphabet’s and Meta’s leadership over the online landscape. Meanwhile, websites such as Amazon and eBay generate millions in profits from the sale and distribution of goods, making the e-market sector an integral part of the global retail scene. What is next for online content? Powering social media and websites like Reddit and Wikipedia, user-generated content keeps moving the internet’s engines. However, the rise of generative artificial intelligence will bring significant changes to how online content is produced and handled. ChatGPT is already transforming how online search is performed, and news of Google's 2024 deal for licensing Reddit content to train large language models (LLMs) signal that the internet is likely to go through a new revolution. While AI's impact on the online market might bring both opportunities and challenges, effective content management will remain crucial for profitability on the web.