In March 2204, X's web page Twitter.com had 6.2 billion website visits worldwide, up from 5.9 billion site visits in the previous month. Formerly known as Twitter, X is a microblogging and social networking service that allows most of its users to write short posts with a maximum of 280 characters.
In the six months ending March 2024, the United States accounted for 23.21 percent of web traffic to the Twitter.com URL. Japan ranked second, accounting for 16.06 percent of traffic to the web page, and was followed by the United Kingdom, representing 5.51 percent of the web address online volume.
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With the increasing number of accidents in Indonesia, analysis of accident data is still need to considered and analyzed. Moreover, traffic accident information from social media such as Twitter is easy to obtain when compared to other data source from police or government institutions. In this work, we tried to create a traffic accident dataset. We do scraping on Twitter and get 157.613 tweets, then do a text processing which involves case folding, filtering, tokenizing, and stopword removal. To find out wheter the tweet is true about accident information, we take some data as testing data then do word embedding using FastText method and classification with SVM, KNN, and Naïve Bayes algorithms then test the model with K-fold validation and confusion matrix accuracy. The results show that the validation score and accuracy score is good with 86% and 88% when SVM algorithm with linear kernel was done. This result model then applied to all dataset containing 157,613 tweets taken through the scraping process since April 2019 until April 2020 and produce predictions that can be used for further research and uploaded to www.dodyagung.com/dataset/accident.
This dataset is part of my graduate thesis and international journal paper, please cite if you use this dataset. This is the example in American Psychological Association (APA), 6th Edition format.
Saputro, D. A., & Girsang, A. S. (2020). Classification of Traffic Accident Information Using Machine Learning from Social Media. International Journal of Emerging Trends in Engineering Research, 8(3), 630–637. https://doi.org/10.30534/ijeter/2020/04832020
Header Image Source : www.kornberglawfirm.com
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“10 days of traffic” (T = 0.35, entire, D = 30′′, S = 100 slots of equal size): MSE for different levels of smoothing.
The number of Twitter users in France was forecast to continuously increase between 2024 and 2028 by in total 0.8 million users (+8.18 percent). After the ninth consecutive increasing year, the Twitter user base is estimated to reach 10.59 million users and therefore a new peak in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.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 Twitter users in countries like Luxembourg and Netherlands.
Social network X/Twitter is particularly popular in the United States, and as of April 2024, the microblogging service had an audience reach of 106.23 million users in the country. Japan and the India were ranked second and third with more than 69 million and 25 million users respectively. Global Twitter usage As of the second quarter of 2021, X/Twitter had 206 million monetizable daily active users worldwide. The most-followed Twitter accounts include figures such as Elon Musk, Justin Bieber and former U.S. president Barack Obama. X/Twitter and politics X/Twitter has become an increasingly relevant tool in domestic and international politics. The platform has become a way to promote policies and interact with citizens and other officials, and most world leaders and foreign ministries have an official Twitter account. Former U.S. president Donald Trump used to be a prolific Twitter user before the platform permanently suspended his account in January 2021. During an August 2018 survey, 61 percent of respondents stated that Trump's use of Twitter as President of the United States was inappropriate.
The purpose of the dataset is identify tweets from the @Ma3Route twitter handles that report road traffic crash reports and to identify the location of the crashes. Using the Twitter API, tweets were scraped from Ma3Route, which is a mobile/web/SMS platform that crowdsources transport data and provides users with information on on road traffic crash reports as well as traffic, matatu directions, and driving reports. This dataset provides the tweet IDs of tweets from Ma3Route from May 2012 until July 2020.
Kenya (primarily Nairobi)
Road traffic crash reports
Tweets from Ma3Route
Observation data/ratings [obs]
Other [oth]
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This dataset lists the ~ 58k tweets that mentioned a scientific article (broadly speaking anything with a DOI, PMID or arxiv ID) between the 1st and 31st of July 2011.
Recall isn’t 100%: my best estimate is that it’s missing another ~ 6k tweets where the article couldn’t be identified, the link was malformed or the journal involved is new or gets very low traffic.
Twitter’s TOS prohibit re-distribution of the tweets themselves but the dataset contains the extracted links, the tweet ID and some information about the tweeter (screen name, country & lat/lng derived from their location using Yahoo! Placemaker).
The links, pmids, dois and arxiv_ids columns can contain more than one value are are pipe (|) delimited.
If you use this dataset please credit http://www.altmetric.com somewhere – doesn’t need to be a prominent link or a graphic or anything, some text tucked away on an about page will do!
The number of Twitter users in the United Kingdom was forecast to continuously increase between 2024 and 2028 by in total 0.9 million users (+5.1 percent). After the ninth consecutive increasing year, the Twitter user base is estimated to reach 18.55 million users and therefore a new peak in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.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).
In December 2023, Facebook was by far the social media platform that directed the most traffic to third-party website links in Colombia, with more than 65 percent of the referrals. Instagram and Pinterest followed, each providing around 7.67 percent and 5.22 percent of the traffic. Other networks generated smaller shares, such as YouTube with 3.51 percent of social media referral traffic, and Twitter, with 2.29 percent of clicks.
Provides information on router utilization for capacity planning.
As of March 2024, Twitter.com accounted for over 25.6 percent of social media referral traffic to Tumblr.com. Tumblr's second-largest social media traffic driver was youtube.com, which generated more than 19.9 percent of social media traffic to Tumblr. Overall, social media referrals made up 7.63 percent of the web traffic to the platform.
This file is used to log transactions coming into the NDDSS application and to log actions taken by the application based on the incoming transactions.
As of December 2022, X/Twitter's audience accounted for over 368 million monthly active users worldwide. This figure was projected to decrease to approximately 335 million by 2024, a decline of around five percent compared to 2022.
https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy
BASE YEAR | 2024 |
HISTORICAL DATA | 2019 - 2024 |
REPORT COVERAGE | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
MARKET SIZE 2023 | 15.65(USD Billion) |
MARKET SIZE 2024 | 17.97(USD Billion) |
MARKET SIZE 2032 | 54.3(USD Billion) |
SEGMENTS COVERED | Optimization Type ,Channel ,Application ,Optimization Goal ,Regional |
COUNTRIES COVERED | North America, Europe, APAC, South America, MEA |
KEY MARKET DYNAMICS | Rising Social Media Usage Increasing adoption and active user base on various social media platforms SEO Evolution Changing search engine algorithms prioritize social signals making optimization essential Content Creation Trend Emergence of usergenerated content and influencer marketing driving demand for optimized content Enhanced Competition Growing saturation in the market leading to increased competition for online visibility and engagement Data Analytics Advanced analytics tools and technologies enable more targeted and effective optimization strategies |
MARKET FORECAST UNITS | USD Billion |
KEY COMPANIES PROFILED | Buffer ,Tailwind ,AgoraPulse ,SproutSocial ,Zoho Social ,Hootsuite ,r Hootsuite ,HubSpot ,BuzzSumo ,Missinglettr ,Sendible ,SocialPilot ,Sprout Social |
MARKET FORECAST PERIOD | 2025 - 2032 |
KEY MARKET OPPORTUNITIES | Enhanced Targeting Capabilities DataDriven Insights Content Personalization Automation of Social Media Tasks Integration with Other Marketing Channels |
COMPOUND ANNUAL GROWTH RATE (CAGR) | 14.83% (2025 - 2032) |
The purpose of the Tweet IDs and Manually Labelled Crash Reports from Ma3Route 2017-2018 project is identify tweets from the @Ma3Route twitter handles that report road traffic crash reports. Using the Twitter API, tweets were scraped from Ma3Route, which is a mobile/web/SMS platform that crowdsources transport data and provides users with information on on road traffic crash reports as well as traffic, matatu directions, and driving reports.
Kenya (primarily Nairobi)
Road traffic crash reports
Tweets reporting road traffic crash reports, scraped from twitter handle @Ma3Route
Observation data/ratings [obs]
Other [oth]
In March 2024, the video platform YouTube reported around 32.5 billion visits from global users. Meta-owned Facebook.com reported around 16.1 billion visits from global users, as Instagram.com and Twitter.com followed, each with 7 billion and 6.1 billion visits from users worldwide during the examined month. Wikipedia.org, which hosts users-generated encyclopedic entries, recorded around 4.4 billion visits, while news aggregator and community platform Reddit.com saw approximately 2.2 billion visits during the examined period.
The global number of Twitter users in was forecast to continuously increase between 2024 and 2028 by in total 74.3 million users (+17.32 percent). After the ninth consecutive increasing year, the Twitter user base is estimated to reach 503.42 million users and therefore a new peak in 2028. Notably, the number of Twitter users of was continuously increasing over the past years.User figures, shown here regarding the platform twitter, have been estimated by taking into account company filings or press material, secondary research, app downloads and traffic data. They refer to the average monthly active users over the period.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 Twitter users in countries like South America and the Americas.
YouTube has emerged as the dominant social media platform for driving traffic to Amazon.com, accounting for nearly 60 percent of referrals to the e-commerce platform in December 2023. Facebook.com and Twitter.com followed, contributing about ten and nine percent of social media referrals respectively, while Reddit and WhatsApp rounded out the top five sources. Amazon's dominance Amazon's position as the leading online retailer in the United States is evident in its traffic and sales figures. In December 2023, Amazon still recorded an impressive 2.7 billion combined visits. The company's financial performance remains strong, with a net income of approximately 13.5 billion U.S. dollars in the second quarter of 2024, up from the previous quarters. Mobile presence Amazon's mobile presence continues to grow, with its shopping app downloads reaching a nine-year peak in August 2022 at approximately 25 million. As of July 2024, the Amazon Shopping app reached over 18 million downloads across iOS and Android platforms. That month, Amazon’s shopping app was the most popular app published by the e-commerce and tech giant.
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Puff Bar, a disposable electronic nicotine delivery system (ENDS), was the ENDS brand most commonly used by U.S. youth in 2021. We explored whether Puff Bar’s rise in marketplace prominence was detectable through advertising, retail sales, social media, and web traffic data sources. We retrospectively documented potential signals of interest in and uptake of Puff Bar in the United States using metrics based on advertising (Numerator and Comperemedia), retail sales (NielsenIQ), social media (Twitter, via Sprinklr), and web traffic (Similarweb) data from January 2019 to June 2022. We selected metrics based on (1) data availability, (2) potential to graph metric longitudinally, and (3) variability in metric. We graphed metrics and assessed data patterns compared to data for Vuse, a comparator product, and in the context of regulatory events significant to Puff Bar. The number of Twitter posts that contained a Puff Bar term (social media), Puff Bar product sales measured in dollars (sales), and the number of visits to the Puff Bar website (web traffic) exhibited potential for surveilling Puff Bar due to ease of calculation, comprehensibility, and responsiveness to events. Advertising tracked through Numerator and Comperemedia did not appear to capture marketing from Puff Bar’s manufacturer or drive change in marketplace prominence. This study demonstrates how quantitative changes in metrics developed using advertising, retail sales, social media, and web traffic data sources detected changes in Puff Bar’s marketplace prominence. We conclude that low-effort, scalable, rapid signal detection capabilities can be an important part of a multi-component tobacco surveillance program.
In March 2204, X's web page Twitter.com had 6.2 billion website visits worldwide, up from 5.9 billion site visits in the previous month. Formerly known as Twitter, X is a microblogging and social networking service that allows most of its users to write short posts with a maximum of 280 characters.