Mobile accounts for approximately half of web traffic worldwide. In the last quarter of 2024, mobile devices (excluding tablets) generated 62.54 percent of global website traffic. Mobiles and smartphones consistently hoovered around the 50 percent mark since the beginning of 2017, before surpassing it in 2020. Mobile traffic Due to low infrastructure and financial restraints, many emerging digital markets skipped the desktop internet phase entirely and moved straight onto mobile internet via smartphone and tablet devices. India is a prime example of a market with a significant mobile-first online population. Other countries with a significant share of mobile internet traffic include Nigeria, Ghana and Kenya. In most African markets, mobile accounts for more than half of the web traffic. By contrast, mobile only makes up around 45.49 percent of online traffic in the United States. Mobile usage The most popular mobile internet activities worldwide include watching movies or videos online, e-mail usage and accessing social media. Apps are a very popular way to watch video on the go and the most-downloaded entertainment apps in the Apple App Store are Netflix, Tencent Video and Amazon Prime Video.

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.

In June 2025, booking.com was the most visited travel and tourism website worldwide. That month, Booking’s web page recorded around *** million visits. Tripadvisor.com and airbnb.com followed in the ranking, with roughly *** million and ** million visits, respectively. Popular online travel agencies in the U.S. Online travel agencies (OTAs), such as Booking.com and Expedia, offer a wide variety of services, including online hotel bookings, flight reservations, and car rentals. According to the Statista Consumer Insights Global survey, when looking at flight search engine online bookings by brand in the United States, Booking.com and Expedia were the most popular options when it came to making online flight reservations in 2025. When focusing on hotel and private accommodation online bookings in the U.S., Booking.com was again the most popular brand, followed by Airbnb, Expedia, and Hotels.com. Booking Holdings vs. Expedia Group Booking.com is one of the most popular sites of the online travel group Booking Holdings, the leading online travel agency worldwide based on revenue, that also owns brands like Priceline, Kayak, and Agoda. In 2024, Booking Holdings' revenue amounted to almost ** billion U.S. dollars, the highest figure reported by the company to date. Meanwhile, global revenue of Expedia Group, which manages brands like Expedia, Hotels.com, and Vrbo, reached nearly ** billion U.S. dollars that year.

Web Camera People Behavior Dataset for computer vision tasks

Dataset includes 2,300+ individuals, contributing to a total of 53,800+ videos and 9,300+ images captured via webcams. It is designed to study social interactions and behaviors in various remote meetings, including video calls, video conferencing, and online meetings. By leveraging this dataset, developers and researchers can enhance their understanding of human behavior in digital communication settings, contributing to… See the full description on the dataset page: https://huggingface.co/datasets/UniDataPro/web-camera-people-behavior.

Introduction

Dark Web Statistics: The Dark Web refers to the encrypted portion of the internet that is not indexed by traditional search engines.

It exists as a hidden network that can only be accessed through specific software, configurations, and authorization protocols.

The primary technology used to access the Dark Web is the Tor network, which allows users to maintain anonymity and privacy while accessing websites and services.

• Administrator: Helsingin kaupunginkanslia / Digitalisaatioyksikkö
• Administrator's webpage: https://www.hel.fi/fi
• Published: 10.03.2022
• Updated: 02.09.2022
• Update frequency: day
• Categories: Local government
• Tags: visitor counts
• Geographical coverage: Helsinki
• Time series starts: 2022-01-01
• Time series accuracy: month
• License: Creative Commons Attribution 4.0
• How to reference: Source: Visitor analytics in city of Helsinki websites. The maintainer of the dataset is Helsingin kaupunginkanslia / Digitalisaatioyksikkö. The dataset has been downloaded from Helsinki Region Infoshare service on 31.12.2024 under the license Creative Commons Attribution 4.0.

Recipe Websites Market Outlook

In 2023, the global recipe websites market size is valued at approximately $6.5 billion and is projected to expand at a compound annual growth rate (CAGR) of 7.8% from 2024 to 2032, reaching an estimated $12.9 billion by the end of the forecast period. A key growth factor driving this market includes the increasing penetration of internet connectivity and smartphone usage worldwide, which facilitates easy access to a plethora of culinary content. Furthermore, a surge in consumer interest in cooking at home, especially post-pandemic, has fueled the demand for online recipe resources. This trend is compounded by the increasing influence of social media platforms where food content goes viral, further popularizing recipe websites.

One of the primary growth drivers for recipe websites is the growing interest in food culture globally. As travel experiences and cultural exchanges increase, people are exposed to diverse cuisines, leading to a demand for accessible and reliable recipe sources. Recipe websites capitalize on this interest by offering a wide array of international recipes that cater to diverse palates and dietary preferences. Moreover, these platforms often include user-generated content, allowing for a rich exchange of ideas and authenticity in culinary experiences, which enhances user engagement and retention. The proliferation of food bloggers and influencers has also contributed to this growth, as they frequently collaborate with recipe websites to expand their reach and share unique content.

Another significant factor contributing to the growth of the recipe websites market is the rise of health and wellness trends. As consumers become more health-conscious, there is a growing demand for recipes that cater to specific dietary needs, such as gluten-free, vegan, keto, and paleo diets. Recipe websites have adapted to these trends by offering specialized sections and expert advice on healthy eating. Additionally, the integration of nutritional information and meal planning tools has made these platforms indispensable for users looking to maintain a balanced lifestyle. This focus on health and wellness not only attracts a niche audience but also broadens the marketÂ’s appeal to a wider demographic.

The technological advancements in AI and machine learning also play a pivotal role in the growth of the recipe websites market. These technologies facilitate personalized user experiences by recommending recipes based on usersÂ’ past searches, preferences, and dietary restrictions. They also enable interactive features such as voice-guided cooking, real-time feedback, and virtual cooking classes, which enhance user engagement and satisfaction. Furthermore, AI-driven analytics provide insights into user behavior, enabling websites to tailor their offerings and improve marketing strategies. This personalized approach not only drives user retention but also attracts new users who value a customized culinary experience.

The integration of Recipe Software into the recipe websites market is transforming the way users interact with culinary content. This software offers advanced features such as customizable meal planners, ingredient substitution tools, and interactive cooking guides, making it easier for users to manage their cooking activities efficiently. By leveraging Recipe Software, platforms can provide users with a seamless experience that includes automated grocery lists and personalized recipe suggestions based on dietary preferences and past cooking history. This technology not only enhances user engagement but also provides valuable insights into user behavior, allowing platforms to tailor their offerings more effectively. As the demand for digital culinary solutions grows, Recipe Software is becoming an indispensable tool for both novice cooks and seasoned chefs seeking convenience and innovation in their culinary pursuits.

Regionally, North America and Europe lead the recipe websites market due to high internet penetration and a strong culture of home cooking. However, the Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by increasing internet accessibility and a burgeoning middle class with a keen interest in global cuisines. Countries like India and China are particularly notable for their rapid adoption of digital platforms and growing culinary curiosity. Latin America and the Middle East & Africa are also emerging markets with significant potential, as consumers in these regions increasingly seek diverse and convenient culinary co

Dataset

This dataset was created by B.Balc

Released under CC0: Public Domain

Contents

Introduction

Tor Statistics: The most popular browser is Tor. Data is a priceless resource, and people go to great lengths to get it. The term “onion router†refers to a tool used globally to guarantee anonymity on the net by the use of an onion routing protocol. The use of Tor rose substantially in 2024, attracting attention from several sectors, such as businesses, agencies, governments, and ordinary citizens. With internet privacy being a hot topic in the world today, it is no wonder that we have seen the emergence of Tor as a means for safe browsing and secure communication online.

Tor remains one of the best-known programs for clandestine web exploration. Unlike usual web browsers, this type of software does not allow access to data by any third parties who might want to track someone’s online activity. However, there is more to this program than just its reputation for accessing deep web resources associated with pornography or drugs. A detailed, Eye-opening Tor statistics analysis will be presented here regarding current trends based on user demographics, financial impacts, and future projections.

Here are a few use cases for this project:

1. Web Accessibility Improvement: The "Web Page Object Detection" model can be used to identify and label various elements on a web page, making it easier for people with visual impairments to navigate and interact with websites using screen readers and other assistive technologies.

2. Web Design Analysis: The model can be employed to analyze the structure and layout of popular websites, helping web designers understand best practices and trends in web design. This information can inform the creation of new, user-friendly websites or redesigns of existing pages.

3. Automatic Web Page Summary Generation: By identifying and extracting key elements, such as titles, headings, content blocks, and lists, the model can assist in generating concise summaries of web pages, which can aid users in their search for relevant information.

4. Web Page Conversion and Optimization: The model can be used to detect redundant or unnecessary elements on a web page and suggest their removal or modification, leading to cleaner designs and faster-loading pages. This can improve user experience and, potentially, search engine rankings.

5. Assisting Web Developers in Debugging and Testing: By detecting web page elements, the model can help identify inconsistencies or errors in a site's code or design, such as missing or misaligned elements, allowing developers to quickly diagnose and address these issues.

Context

Phishing is a form of identity theft that occurs when a malicious website impersonates a legitimate one in order to acquire sensitive information such as passwords, account details, or credit card numbers. People generally tend to fall pray to this very easily. Kudos to the commendable craftsmanship of the attackers which makes people believe that it is a legitimate website. There is a need to identify the potential phishing websites and differentiate them from the legitimate ones. This dataset identifies the prominent features of the phishing websites, 10 such features have been identified.

Content

Generally, the open source datasets available on the internet do not comes with the code and the logic which arises certain problems i.e.:

1. Limited Data: The ML algorithms can only be tested with the existing phishing URLs and no new phishing URLS can be checked for its validity.
2. Outdated URLs: The datasets available on the internet has been uploaded long time ago, there are new kind of phishing URLs arising in every second.
3. Outdated Features: The datasets available on the internet has been uploaded long time ago, there are new methodologies arising in phishing techniques.
4. No Access to Backend: There is no stepwise guide describing how the feature has been derived.

On the contrary we are trying to overcome all the above-mentioned problems.

1. Real Time Data: Before applying a Machine Learning algorithm, we can run the script and fetch real time URLs from Phishtank (for phishing URLs) and from moz (for legitimate URLs) 2. Scalable Data: We can also specify the number of URLs we want to feed the model and hence the web scrapper will fetch that much amount of data from the websites. Presently we are using 1401 URLs in this project i.e. 901 Phishing URLs and 500 Legitimate URLS. 3. New Features: We have tried to implement the prominent new features that is there in the current phishing URLs and since we own the code, new features can also be added. 4. Source code on Github: The source code is published on GitHub for public use and can be used for further scope of improvements. This way there will be transparency to the logic and more creators can add there meaningful additions to the code.

Link to the source code

https://github.com/akshaya1508/detection_of_phishing_websites.git

Inspiration

The idea to develop the dataset and the code for this dataset has been inspired by various other creators who have worked on the similar lines.

This statistic displays the most popular travel websites visited via mobile device in Mexico in the fourth quarter of 2018, ranked by the number of visitors. In that period, around *** million people visited the travel website Priceline.com via a mobile device, while Expedia counted approximately **** million visitors.

Website Accessibility Evaluation Tool Market Outlook

The global website accessibility evaluation tool market size was valued at approximately USD 450 million in 2023 and is projected to reach around USD 900 million by 2032, growing at a CAGR of 8.2% from 2024 to 2032. The growing emphasis on inclusivity and regulatory compliance is a significant driver for this market.

The rise in digital transformation initiatives across various industries has escalated the demand for website accessibility evaluation tools. Governments and organizations globally are increasingly recognizing the necessity of making websites accessible to individuals with disabilities. This awareness is primarily fueled by stringent regulations such as the Americans with Disabilities Act (ADA) in the U.S. and the Web Content Accessibility Guidelines (WCAG) 2.1 issued by the World Wide Web Consortium (W3C). Ensuring compliance with these regulations not only helps companies avoid legal repercussions but also enhances their brand reputation and user experience.

Additionally, the increasing internet penetration and the proliferation of web-based services have made it imperative for businesses to ensure that their digital platforms are user-friendly and accessible to all. According to the International Telecommunication Union (ITU), by 2023, over 60% of the global population had access to the internet. This extensive internet usage has led to an influx of online content and services, necessitating the need for robust accessibility evaluation tools to cater to diverse user needs. Businesses are recognizing the potential market opportunities that come with accessible websites, driving the demand for these tools.

The COVID-19 pandemic further accelerated the digital shift, necessitating businesses to adopt and optimize digital platforms to remain operational. The surge in online transactions, remote working, and virtual learning highlighted the critical need for accessible websites, as people with disabilities also had to rely heavily on digital services. Consequently, the market for website accessibility evaluation tools experienced a significant boost as companies sought to ensure their websites were accessible to all, further propelling market growth.

The Internet Archive Tool has emerged as a valuable resource in the realm of digital accessibility. As businesses and organizations strive to ensure their websites are accessible to all users, the Internet Archive Tool provides a unique service by preserving web pages over time. This tool allows developers and accessibility experts to track changes and improvements in website accessibility, offering insights into how digital platforms have evolved to meet accessibility standards. By providing a historical record of web content, the Internet Archive Tool aids in identifying past accessibility issues and understanding the impact of updates and regulations on web accessibility. This capability is particularly beneficial for organizations aiming to maintain compliance with evolving accessibility guidelines and demonstrate their commitment to inclusivity.

Regionally, North America is anticipated to dominate the market owing to stringent regulatory frameworks and high awareness levels regarding web accessibility. The presence of major technology players and the rapid adoption of advanced digital solutions further contribute to market growth in this region. Europe is expected to follow closely, driven by regulations like the European Accessibility Act and rising awareness about digital inclusivity. Asia Pacific is also predicted to witness substantial growth due to increasing internet penetration and government initiatives promoting digital accessibility.

Component Analysis

The website accessibility evaluation tool market is segmented by component into software and services. Software solutions form a significant portion of the market due to their widespread adoption for automated accessibility checks. These tools are designed to scan web pages and identify accessibility issues, offering solutions to rectify them. They cater to various types of disabilities, including visual, auditory, and motor impairments, ensuring comprehensive accessibility compliance. The market is witnessing continuous advancements in software capabilities, driven by artificial intelligence and machine learning technologies, which enhance the accuracy and efficiency of these tools.

On the services front, the market includes consulting, integration, and s

Information provided for business number 16 (Florida) for sliders (Trachemys scripta, all subspecies combined) changed among listings and over the course of our surveys; all information that appeared related to T. scripta for business number 16 during our surveys is provided below.

Dataset

This dataset was created by shashank vikram singh

Released under Data files © Original Authors

Contents

ObjectivesThis study aimed to characterize the content of frequently asked questions about the treatment of rheumatoid arthritis (RA) on the internet in Japan and to evaluate the quality of websites related to the questions.MethodsWe searched terms on the treatment of RA on Google and extracted frequently asked questions generated by the Google "people also ask" function. The website that answered each question was also obtained. We categorized the questions based on the content. The quality of the websites was evaluated using the brief DISCERN, Journal of American Medical Association benchmark criteria, and Clear Communication Index.ResultsOur search yielded 83 questions and the corresponding websites. The most frequently asked questions were regarding the timeline of treatment (n = 17, 23%) and those on the timeline of the clinical course (n = 13, 16%). The median score of brief DISCERN was 11 points, with only 7 (8%) websites having sufficient quality. Websites having sufficient quality based on the Journal of American Medical Association benchmark criteria and Clear Communication Index were absent.ConclusionsThe questions were most frequently related to the timeline of treatment and clinical course. Physicians should provide such information to patients with RA in the counseling and education materials.

Web Camera People Behavior dataset helps AI analyze human expressions and movements, enhancing e-commerce, fraud detection

ABSTRACT Technological advancement has been influencing relationships between individuals, with different needs and skills. In this scenario, the Deaf use Libras as their first language and main form of communication and expression. The article presents a research that sought to understand how Deaf users interact with information on the web, specifically in the context of the Lattes - CNPq curriculum page. The approach is quali-quantitative, with descriptive purpose, direct method and applied nature. It is based on collecting data from a script with observation and analysis in the comparative study. It was found that the web is able to democratize information and promote Deaf user interaction. However, it is necessary to implement initiatives that consider their linguistic specificities.

A web app detailing DCS employees across NSW. Formerly shown on the DCS Intranet.

A map showing the amount of DCS staff within each LGA. The associated web app was formerly shown on the DCS Intranet.

Metadata

According to a survey conducted in Japan during fiscal year 2023, 27.1 percent of the respondents use specialized information websites as a source of information about shopping. At the same time, close to 22 percent of the respondents answered that they use such websites to gain information about travel and sightseeing.