The global number of internet users in was forecast to continuously increase between 2024 and 2029 by in total 1.3 billion users (+23.66 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 7 billion users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of internet users in countries like the Americas and Asia.

When asked about "Attitudes towards the internet", most Mexican respondents pick "It is important to me to have mobile internet access in any place at any time" as an answer. 55 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

Netlas.io is a set of internet intelligence apps that provide accurate technical information on IP addresses, domain names, websites, web applications, IoT devices, and other online assets.

Netlas.io maintains five general data collections: Responses (internet scan data), DNS Registry data, IP Whois data, Domain Whois data, SSL Certificates.

This dataset contains Domain WHOIS data. It covers active domains only, including just registered, published and parked domains, domains on redeption grace period (waiting for renewal), and domains pending delete. This dataset doesn't include any historical records.

When asked about "Attitudes towards the internet", most Chinese respondents pick "It is important to me to have mobile internet access in any place at any time" as an answer. 49 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

Percentage of Internet users who have experienced selected personal effects in their life because of the Internet and the use of social networking websites or apps, during the past 12 months.

Firms are increasingly transitioning advertising budgets to Internet display campaigns, but this transition poses new challenges. These campaigns use numerous potential metrics for success (e.g., reach or click rate), and because each website represents a separate advertising opportunity, this is also an inherently high-dimensional problem. Further, advertisers often have constraints they wish to place on their campaign, such as targeting specific sub-populations or websites. These challenges require a method flexible enough to accommodate thousands of websites, as well as numerous metrics and campaign constraints. Motivated by this application, we consider the general constrained high-dimensional problem, where the parameters satisfy linear constraints. We develop the Penalized and Constrained optimization method (PaC) to compute the solution path for high-dimensional, linearly constrained criteria. PaC is extremely general; in addition to internet advertising, we show it encompasses many other potential applications, such as portfolio estimation, monotone curve estimation, and the generalized lasso. Computing the PaC coefficient path poses technical challenges, but we develop an efficient algorithm over a grid of tuning parameters. Through extensive simulations, we show PaC performs well. Finally, we apply PaC to a proprietary dataset in an exemplar Internet advertising case study and demonstrate its superiority over existing methods in this practical setting. Supplementary materials for this article, including a standardized description of the materials available for reproducing the work, are available as an online supplement.

When asked about "Attitudes towards the internet", most Japanese respondents pick "I could no longer imagine my everyday life without the internet" as an answer. 56 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

Please cite the following paper when using this dataset:

N. Thakur, V. Su, M. Shao, K. Patel, H. Jeong, V. Knieling, and A. Bian “A labelled dataset for sentiment analysis of videos on YouTube, TikTok, and other sources about the 2024 outbreak of measles,” Proceedings of the 26th International Conference on Human-Computer Interaction (HCII 2024), Washington, USA, 29 June - 4 July 2024. (Accepted as a Late Breaking Paper, Preprint Available at: https://doi.org/10.48550/arXiv.2406.07693)

Abstract

This dataset contains the data of 4011 videos about the ongoing outbreak of measles published on 264 websites on the internet between January 1, 2024, and May 31, 2024. These websites primarily include YouTube and TikTok, which account for 48.6% and 15.2% of the videos, respectively. The remainder of the websites include Instagram and Facebook as well as the websites of various global and local news organizations. For each of these videos, the URL of the video, title of the post, description of the post, and the date of publication of the video are presented as separate attributes in the dataset. After developing this dataset, sentiment analysis (using VADER), subjectivity analysis (using TextBlob), and fine-grain sentiment analysis (using DistilRoBERTa-base) of the video titles and video descriptions were performed. This included classifying each video title and video description into (i) one of the sentiment classes i.e. positive, negative, or neutral, (ii) one of the subjectivity classes i.e. highly opinionated, neutral opinionated, or least opinionated, and (iii) one of the fine-grain sentiment classes i.e. fear, surprise, joy, sadness, anger, disgust, or neutral. These results are presented as separate attributes in the dataset for the training and testing of machine learning algorithms for performing sentiment analysis or subjectivity analysis in this field as well as for other applications. The paper associated with this dataset (please see the above-mentioned citation) also presents a list of open research questions that may be investigated using this dataset.

This dataset contains an extensive list of free Wi-Fi locations in the City of Casey. These individual sites provide members of the community the opportunity to engage online and represents the City of Casey Council’s commitment to digital inclusivity.Disclaimer: the City of Casey makes no guarantees about the quality of the services provided and is not responsible for any claims, losses, damages, costs, or other obligations arising from the use of the free wi-fi. Council denies any responsibility for the accuracy of the information obtained through user access. Users may not engage in any of the activities prohibited by its user policies when accessing the free wi-fi.

Abstract copyright UK Data Service and data collection copyright owner.

The Oxford Internet Surveys (OxIS) is the longest-running academic survey of internet use in Britain, describing how internet use has evolved from 2003 to the present day. Run by the Oxford Internet Institute, a Social Sciences department at the University of Oxford, this survey provides unrivalled data, rigorous analysis and policy-relevant insights into key aspects of life online.

OxIS is a multi-stage national probability sample of 2,000 people in Britain, enabling researchers to project estimates to the nation as a whole. Undertaken every two years since 2003, it surveys users, non-users, and ex-users, covering internet and ICT access and use, attitudes to technology, and supporting demographic and geographic information.

The Oxford Internet Survey, 2019 (OxIS 2019) is a representative survey of British internet use in 2019. Data were collected via in-home interviews with respondents. It includes both internet users and non-users. The dataset contains almost 700 variables measuring internet activities, attitudes and effects.

Further information about the OxIS, including publications, is available from the Oxford Internet Surveys webpages.

Users should note the data are only available in Stata format.

This study is Open Access. It is freely available to download and does not require UK Data Service registration.

Main Topics:

The data include a wide variety of items measuring issues related to internet use, including:

• information and trust
• internet access and technology in the household
• internet use and access at the individual level
  
• internet use and communication
• use of the internet for information seeking, entertainment purposes, shopping and commerce, public services, learning and education
• attitudes toward the internet
• attitudes towards life, technologies and privacy
• social relations
• time spent on offline activities
• political outlooks and involvement
• demographic measures

Cookie notices (or cookie banners) are a popular mechanism for websites to provide (European) Internet users a tool to choose which cookies the site may set. Banner implementations range from merely providing information that a site uses cookies over offering the choice to accepting or denying all cookies to allowing fine-grained control of cookie usage. Users frequently get annoyed by the banner's pervasiveness as they interrupt ``natural'' browsing on the Web. As a remedy, different browser extensions have been developed to automate the interaction with cookie banners. In this work, we perform a large-scale measurement study comparing the effectiveness of extensions for cookie banner interaction.'' We configured the extensions to express different privacy choices (e.g., accepting all cookies, accepting functional cookies, or rejecting all cookies) to understand their capabilities to execute a user's preferences. The results show statistically significant differences in which cookies are set, how many of them are set, and which types are set---even for extensions that aim to implement the same cookie choice. Extensions forcookie banner interaction'' can effectively reduce the number of set cookies compared to no interaction with the banners. However, all extensions increase the tracking requests significantly except when rejecting all cookies. This repository hosts the dataset corresponding to the paper "A Large-Scale Study of Cookie Banner Interaction Tools and their Impact on Users’ Privacy", which was published at the Privacy Enhancing Technologies Symposium (PETS) in 2024.

Digital Inclusion Centers include computer labs, access to high-speed broadband Internet service, a comprehensive training curriculum, and dedicated staff. This initiative is being funded by the American Recovery and Reinvestment Act (ARRA) as a part of the DC Broadband Education, Training and Adoption (DC-BETA) project. Individuals who successfully complete the introductory digital literacy training course will receive a refurbished desktop computer and one year of free broadband service.Public Computer Centers provide computer and internet access to the public. Expansion and upgrades to the public computer centers are funded by a American Recovery and Reinvestment Act (ARRA) grant awarded to DC Public Library known as the District of Columbia's Community Computing Resources (DC_CCR) program. For more information visit the Connect.DC website: http://connect.dc.gov/The District of Columbia Government received over $25 million in federal grant funding from the American Recovery and Reinvestment Act (ARRA), matched with District equivalent contribution of $10 million to: - Upgrade and expand the District's existing telecommunications infrastructure - Increase broadband adoption rates - Provide technical assistance to local institutions and coordinate stakeholder activities, and - Expand the number of computers and improve the quality of Internet service at libraries and recreation centers throughout the District

Percentage of Canadians who have experienced selected personal effects in their life because of the Internet and the use of social networking websites or apps, during the past 12 months.

MuniciWebMex-2021 contains the URL (uniform resource locators), also known as Internet addresses, of websites of the municipal governments in Mexico as they were available in May, 2021. It contains 11 attributes. A series of these attributes are, for instance, municipality ID, ID of state where the municipality is located in, municipality name, state name, URL of the website, etc. The total number of municipalities in the dataset is 2,469, although not all municipal governments own a website at that time.

The list of study sites, meteorological stations and locations of interest that are shown on the Bonanza Creek Long Term Ecological Research site (BNZ LTER) internet map server (IMS, available at http://www.lter.uaf.edu/ims_intro.cfm) is generated from the LTER study sites database. The information is converted into a shapefile and posted to the IMS. Some study sites shown on the main LTER website will not appear on the IMS because they do not have location coordinates. In all cases the most up-to-date information will be found on the (study sites website ).

The spatial information represented on the IMS is available to the public according to the restrictions outlined in the LTER data policy. The dataset represented here consists of the map layers shown on the IMS. The information consists of shapefiles in Environmental Systems Research Institute (ESRI) format. Users of this dataset should be aware that the contents are dynamic. Portions of the information shown on the IMS are derived from the Bonanza Creek LTER databank and are constantly being updated.

The public use microdata file (PUMF) from the Canadian Internet Use Survey (CIUS) provides data on the adoption and use of digital technologies and the online behaviors of individuals 15 years of age and older living in the ten provinces of Canada. The survey is built off the previous iteration of the CIUS, last conducted in 2012. While there is some comparability with the 2012 CIUS, the 2018 survey was redesigned in 2018 to reflect the rapid pace at which Internet technology has evolved since the previous survey iteration. The files include information on how individuals use the Internet, smartphones, and social networking websites and apps, including their intensity of use, demand for certain online activities, and interactions through these technologies. It also provides information on the use of online government services, digital skills, online work, and security, privacy and trust as it relates to the Internet.

BackgroundThis study aimed to investigate the quality and readability of online English health information about dental sensitivity and how patients evaluate and utilize these web-based information.MethodsThe credibility and readability of health information was obtained from three search engines. We conducted searches in "incognito" mode to reduce the possibility of biases. Quality assessment utilized JAMA benchmarks, the DISCERN tool, and HONcode. Readability was analyzed using the SMOG, FRE, and FKGL indices.ResultsOut of 600 websites, 90 were included, with 62.2% affiliated with dental or medical centers, among these websites, 80% exclusively related to dental implant treatments. Regarding JAMA benchmarks, currency was the most commonly achieved and 87.8% of websites fell into the "moderate quality" category. Word and sentence counts ranged widely with a mean of 815.7 (±435.4) and 60.2 (±33.3), respectively. FKGL averaging 8.6 (±1.6), SMOG scores averaging 7.6 (±1.1), and FRE scale showed a mean of 58.28 (±9.1), with "fair difficult" being the most common category.ConclusionThe overall evaluation using DISCERN indicated a moderate quality level, with a notable absence of referencing. JAMA benchmarks revealed a general non-adherence among websites, as none of the websites met all of the four criteria. Only one website was HON code certified, suggesting a lack of reliable sources for web-based health information accuracy. Readability assessments showed varying results, with the majority being "fair difficult". Although readability did not significantly differ across affiliations, a wide range of the number of words and sentences count was observed between them.

When asked about "Attitudes towards the internet", most Australian respondents pick "It is important to me to have mobile internet access in any place at any time" as an answer. 53 percent did so in our online survey in 2024. Looking to gain valuable insights about users of internet providers worldwide? Check out our

This dataset was created to compile all the federal, state, county (in Baltimore Metropolitan Statistical Area), and municipal (Baltimore City) laws and policies governing the management of critical resources as identified in the Human Ecosystem Framework. The database is searchable and, as an Excel file, easily sorted by field. Data were collected primarily through internet searches of government websites, and supplemented by some documents. Sources are included within the dataset.