General data recollected for the studio " Analysis of the Quantitative Impact of Social Networks on Web Traffic of Cybermedia in the 27 Countries of the European Union". Four research questions are posed: what percentage of the total web traffic generated by cybermedia in the European Union comes from social networks? Is said percentage higher or lower than that provided through direct traffic and through the use of search engines via SEO positioning? Which social networks have a greater impact? And is there any degree of relationship between the specific weight of social networks in the web traffic of a cybermedia and circumstances such as the average duration of the user's visit, the number of page views or the bounce rate understood in its formal aspect of not performing any kind of interaction on the visited page beyond reading its content? To answer these questions, we have first proceeded to a selection of the cybermedia with the highest web traffic of the 27 countries that are currently part of the European Union after the United Kingdom left on December 31, 2020. In each nation we have selected five media using a combination of the global web traffic metrics provided by the tools Alexa (https://www.alexa.com/), which ceased to be operational on May 1, 2022, and SimilarWeb (https:// www.similarweb.com/). We have not used local metrics by country since the results obtained with these first two tools were sufficiently significant and our objective is not to establish a ranking of cybermedia by nation but to examine the relevance of social networks in their web traffic. In all cases, cybermedia whose property corresponds to a journalistic company have been selected, ruling out those belonging to telecommunications portals or service providers; in some cases they correspond to classic information companies (both newspapers and televisions) while in others they refer to digital natives, without this circumstance affecting the nature of the research proposed.
Below we have proceeded to examine the web traffic data of said cybermedia. The period corresponding to the months of October, November and December 2021 and January, February and March 2022 has been selected. We believe that this six-month stretch allows possible one-time variations to be overcome for a month, reinforcing the precision of the data obtained. To secure this data, we have used the SimilarWeb tool, currently the most precise tool that exists when examining the web traffic of a portal, although it is limited to that coming from desktops and laptops, without taking into account those that come from mobile devices, currently impossible to determine with existing measurement tools on the market. It includes:

Web traffic general data: average visit duration, pages per visit and bounce rate Web traffic origin by country Percentage of traffic generated from social media over total web traffic Distribution of web traffic generated from social networks Comparison of web traffic generated from social netwoks with direct and search procedures

The Alternative Data Market size was valued at USD 7.20 billion in 2023 and is projected to reach USD 126.50 billion by 2032, exhibiting a CAGR of 50.6 % during the forecasts period. Recent developments include: In April 2023, Thinknum Alternative Data launched new data fields to its employee sentiment datasets for people analytics teams and investors to use this as an 'employee NPS' proxy, and support highly-rated employers set up interviews through employee referrals. , In September 2022, Thinknum Alternative Data announced its plan to combine data Similarweb, SensorTower, Thinknum, Caplight, and Pathmatics with Lagoon, a sophisticated infrastructure platform to deliver an alternative data source for investment research, due diligence, deal sourcing and origination, and post-acquisition strategies in private markets. , In May 2022, M Science LLC launched a consumer spending trends platform, providing daily, weekly, monthly, and semi-annual visibility into consumer behaviors and competitive benchmarking. The consumer spending platform provided real-time insights into consumer spending patterns for Australian brands and an unparalleled business performance analysis. .

The global market for website analytics and competitor analysis tools is experiencing robust growth, projected to reach $[Estimate based on available data, e.g., $5 billion] in 2025, with a Compound Annual Growth Rate (CAGR) of [Estimate, e.g., 12%] from 2025 to 2033. This expansion is driven by the increasing reliance of businesses, both large enterprises and SMEs, on data-driven decision-making for improved marketing strategies, website optimization, and competitive intelligence. Key trends shaping this market include the rising adoption of AI-powered analytics for deeper insights, the integration of website analytics with other marketing platforms, and the growing demand for comprehensive solutions that cover SEO, PPC, and social media analytics. While the market faces some restraints, such as the complexity of some analytics tools and the increasing cost of premium features, the overall growth trajectory remains positive. The competitive landscape is highly dynamic, with established players like Google, SEMrush, and SimilarWeb dominating the market through their comprehensive offerings and extensive user bases. However, smaller, specialized companies like BuiltWith, SpyFu, and WooRank are carving out niches for themselves by focusing on specific areas of website analytics or offering unique functionalities. The competitive intensity is driving innovation, leading to the development of more user-friendly interfaces, enhanced reporting capabilities, and improved data visualization tools. The market is also witnessing the emergence of new players offering innovative solutions leveraging cutting-edge technologies, promising further disruption and shaping the future of competitor analysis. Regional variations exist, with North America and Europe currently leading the market, but strong growth is expected from Asia-Pacific, particularly from countries like India and China, as digital adoption continues to accelerate.

The competitive marketing software market is experiencing robust growth, driven by the increasing need for businesses of all sizes to understand and respond effectively to their competitive landscape. The market, estimated at $5 billion in 2025, is projected to expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion by 2033. This growth is fueled by several key factors. Firstly, the rising adoption of cloud-based solutions offers scalability and cost-effectiveness, appealing to both SMEs and large enterprises. Secondly, the intensifying competitive pressure in various industries necessitates sophisticated tools for market intelligence and competitive analysis. Thirdly, the emergence of advanced analytics and AI-powered features within these platforms enhances strategic decision-making and campaign optimization. The market is segmented by application (SMEs and large enterprises) and deployment type (cloud-based and on-premises), with the cloud-based segment holding a significant majority due to its flexibility and accessibility. North America currently dominates the market share, followed by Europe and Asia Pacific, reflecting the higher adoption rates in these regions. However, emerging markets in Asia Pacific and the Middle East & Africa are expected to witness significant growth in the coming years. The competitive landscape is characterized by a mix of established players like SEMrush, Ahrefs, and Moz Pro, alongside emerging competitors offering niche functionalities. The market's future growth will likely be influenced by factors such as increasing data privacy concerns, the need for seamless integration with existing marketing tools, and the continued development of AI-driven competitive intelligence features. The competitive landscape is dynamic, with established players constantly innovating and expanding their offerings to maintain market leadership. This includes strategic partnerships, acquisitions, and the development of new features catering to specific market needs. The on-premises segment, although smaller, will continue to exist, catering to businesses with stringent data security requirements or legacy system integrations. The market’s growth trajectory is anticipated to be affected by economic fluctuations and technological advancements. Increased investment in R&D will likely drive innovation within the sector, leading to the development of more sophisticated and comprehensive competitive intelligence solutions. Ultimately, businesses that can effectively leverage these tools will gain a crucial competitive advantage in the ever-evolving digital landscape.

The Digital Ad Intelligence Software market is experiencing robust growth, driven by the increasing need for brands to optimize their advertising campaigns across diverse digital channels. This market, valued at approximately $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This expansion is fueled by several key factors, including the rising complexity of digital advertising landscapes, the demand for data-driven decision-making, and the proliferation of programmatic advertising. Businesses are increasingly relying on sophisticated software solutions to gain comprehensive insights into ad performance, competitor strategies, and audience behavior, leading to higher efficiency and return on investment. The market's segmentation encompasses various functionalities, including campaign tracking, competitor analysis, audience targeting optimization, and fraud detection. Key players like Pathmatics, SimilarWeb, and Sensor Tower are driving innovation through advanced analytics and AI-powered features, further consolidating the market's growth trajectory. The competitive landscape is characterized by a mix of established players and emerging startups, leading to continuous innovation and a diverse range of solutions. While the market enjoys significant growth potential, certain restraints exist, including the high cost of advanced software, data privacy concerns, and the need for specialized expertise to effectively utilize these tools. Despite these challenges, the overall outlook for the Digital Ad Intelligence Software market remains positive, with significant opportunities for growth in emerging markets and the continued adoption of advanced analytics capabilities. The forecast period of 2025-2033 presents substantial opportunities for both established vendors and new entrants to capitalize on the market's expanding potential and address the evolving needs of advertisers in an increasingly complex digital ecosystem. Further regional growth is expected, especially in Asia-Pacific and Latin America as digital advertising matures in these regions.

Women in Headlines: Bias

Investigating Gendered Language, Temporal Trends, and Themes

By Amber Thomas [source]

About this dataset

This dataset contains all of the data used in the Pudding essay When Women Make Headlines published in January 2022. This dataset was created to analyze gendered language, bias and language themes in news headlines from across the world. It contains headlines from top50 news publications and news agencies from four major countries - USA, UK, India and South Africa - as published by SimilarWeb (as of 2021-06-06).

To collect this data we used RapidAPI's google news API to query headlines containing one or more of keywords selected based on existing research done by Huimin Xu & team and The Swaddle team. We analyzed words used in headlines manually curating two dictionaries — gendered words about women (words that are explicitly gendered) and words that denote societal/behavioral stereotypes about women. To calculate bias scores, we utilized technology developed through Yasmeen Hitti & team’s research on gender bias text analysis. To categorize words used into themes (violence/crime, empowerment, race/ethnicity/identity etc), we manually curated four dictionaries utilizing Natural Language Processing packages for Python like spacy & nltk for our analysis. Plus, inverting polarity scores with vaderSentiment algorithm helped us shed light on differences between women-centered/non-women centered polarity levels as well as differences between global polarity baselines of each country's most visited publications & news agencies according to SimilarWeb 2020 statistics..

This dataset enables journalists, researchers and educators researching issues related to gender equity within media outlets around the world further insights into potential disparities with just a few lines of code! Any discoveries made by using this data should provide valuable support for evidence-based argumentation . Let us advocate for greater awareness towards female representation better quality coverage!

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset provides a comprehensive look at the portrayal of women in headlines from 2010-2020. Using this dataset, researchers and data scientists can explore a range of topics including language used to describe women, bias associated with different topics or publications, and temporal patterns in headlines about women over time.

To use this dataset effectively, it is helpful to understand the structure of the data. The columns include headline_no_site (the text of the headline without any information about which publication it is from), time (the date and time that the article was published), country (the country where it was published), bias score (calculated using Gender Bias Taxonomy V1.0) and year (the year that the article was published).

By exploring these columns individually or combining them into groups such as by publication or by topic, there are many ways to make meaningful discoveries using this data set. For example, one could explore if certain news outlets employ more gender-biased language when writing about female subjects than other outlets or investigate whether female-centric stories have higher/lower bias scores than average for a particular topic across multiple countries over time. This type of analysis helps researchers to gain insight into how our culture's dialogue has evolved over recent years as relates to women in media coverage worldwide

Research Ideas

• A comparative, cross-country study of the usage of gendered language and the prevalence of gender bias in headlines to better understand regional differences.
• Creating an interactive visualization showing the evolution of headline bias scores over time with respect to a certain topic or population group (such as women).
• Analyzing how different themes are covered in headlines featuring women compared to those without, such as crime or violence versus empowerment or race and ethnicity, to see if there’s any difference in how they are portrayed by the media

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: headlines_reduced_temporal.csv | Column name | Description | |:---------------------|:-------------------------------------------------------------------------------------...

The global Advertisement Intelligence Software market is poised for substantial growth, projected to reach approximately $5,800 million by 2025, with an estimated Compound Annual Growth Rate (CAGR) of 12.5% during the forecast period of 2025-2033. This robust expansion is primarily driven by the increasing need for advertisers and brands to gain deeper insights into competitor strategies, audience behavior, and campaign performance across various digital channels. The escalating complexity of the digital advertising landscape, coupled with the proliferation of ad fraud, necessitates sophisticated intelligence solutions to optimize ad spend, enhance ROI, and maintain a competitive edge. Large enterprises, leveraging extensive marketing budgets and complex campaigns, represent a significant segment, while Small and Medium-sized Enterprises (SMEs) are increasingly adopting these tools to democratize access to competitive intelligence and level the playing field. The shift towards cloud-based solutions further fuels market adoption due to their scalability, accessibility, and cost-effectiveness, although on-premises solutions continue to cater to organizations with stringent data security and compliance requirements. The market's dynamism is further shaped by emerging trends such as the integration of AI and machine learning for predictive analytics, the demand for cross-platform advertising intelligence, and the growing focus on privacy-compliant data analysis. These advancements enable businesses to anticipate market shifts, personalize ad messaging with greater precision, and identify new growth opportunities. However, the market faces certain restraints, including the high cost of advanced features, data privacy regulations like GDPR and CCPA, and the potential for data inaccuracies if not properly managed. Geographically, North America and Europe are expected to dominate the market due to their mature digital advertising ecosystems and high adoption rates of advanced analytics tools. Asia Pacific is anticipated to witness the fastest growth, driven by its rapidly expanding digital economy and increasing investment in ad tech. Key players like Sensor Tower, IronSource, SimilarWeb, and App Annie are at the forefront, offering a comprehensive suite of solutions that empower businesses to navigate the intricate world of digital advertising with confidence and strategic advantage. This in-depth report provides a strategic overview of the global Advertisement Intelligence Software market, forecasting its trajectory from 2019 to 2033, with a base year of 2025. Our analysis delves into the intricate dynamics shaping this sector, offering actionable insights for stakeholders.

Определение: Общий трафик на 15 сайтов с искусственным интеллектом со стационарных и мобильных компьютеров в каждой стране. [Переведено с en: английского языка] Тематическая область: Информационно-коммуникационные технологии [Переведено с en: английского языка] Область применения: Искусственный интеллект [Переведено с en: английского языка] Единица измерения: Количество посещений [Переведено с en: английского языка] Примечание: Similarweb не предоставляет точных данных о количестве посещений веб-сайтов, которые посещают менее 5000 человек. В этих случаях используется приблизительная оценка в 4999 посещений. [Переведено с es: испанского языка] Источник данных: Цифровая обсерватория Десарролло (ODD) на основе Similarweb [Переведено с es: испанского языка] Последнее обновление: Feb 9 2024 1:04PM Организация-источник: Экономическая комиссия по Латинской Америке и Карибскому бассейну [Переведено с en: английского языка] Definition: Total traffic to 15 artificial intelligence sites from fixed and mobile computers per country. Thematic Area: Information and Communication Technologies Application Area: Artificial intelligence Unit of Measurement: Number of visits Note: Similarweb does not provide an exact number of visits for websites that receive fewer than 5,000 visits. In these cases, an approximate estimate of 4,999 is used. Data Source: Observatorio de Desarrollo Digital (ODD) based on Similarweb Last Update: Feb 9 2024 1:04PM Source Organization: Economic Comission for Latin America and the Caribbean

The competitive analysis of industry rivals reveals a dynamic landscape with established players holding significant market share. BuiltWith, WooRank, SEMrush, and Google dominate the market, offering comprehensive solutions for website analytics, SEO, and digital marketing. These companies have robust technological capabilities, established customer bases, and strong brand recognition. Emerging rivals, such as SpyFu, Owletter, SimilarWeb, Moz, SunTec Data, and TrendSource, are gaining traction by specializing in specific niches or offering innovative features. They are actively developing cutting-edge technologies, targeted analytics, and tailored solutions to meet evolving customer needs. The competitive landscape is expected to remain fluid, with ongoing innovations and strategic partnerships shaping market dynamics. As companies strive to differentiate themselves and gain market share, the battle for supremacy will continue to intensify.