This dataset supports a research project in the field of digital medicine, which aims to quantify the impact of disseminating scientific information on social media—as a form of "meta-intervention"—on public adherence to Non-Pharmaceutical Interventions (NPIs) during health crises such as the COVID-19 pandemic. The research encompasses multiple sub-studies and pilot experiments, drawing data from various global and China-specific social media platforms.The data included in this submission has been collected from several sources:From Sina Weibo and Tencent WeChat, 189 online poll datasets were collected, involving a total of 1,391,706 participants. These participants are users of Sina Weibo or Tencent WeChat.From Twitter, 187 tweets published by scientists (verified with a blue checkmark) related to COVID-19 were collected.From Xiaohongshu and Bilibili, textual content from 143 user posts/videos concerning COVID-19, along with associated user comments and specific user responses to a question, were gathered.It is important to note that while the broader research project also utilized a 3TB Reddit corpus hosted on Academic Torrents (academictorrents.com), this specific Reddit dataset is publicly available directly from Academic Torrents and is not included in this particular DataHub submission. The submitted dataset comprises publicly available data, formatted as Excel files (.xlsx), and includes the following:Filename: scientists' discourse (source from screenshot of tweets)Description: This file contains screenshots of tweets published by scientists on Twitter concerning COVID-19 research, its current status, and related topics. It also includes a coded analysis of the textual content from these tweets. Specific details regarding the coding scheme can be found in the readme.txt file.Filename: The links of online polls (Weibo & WeChat)Description: This data file includes information from online polls conducted on Weibo and WeChat after December 7, 2022. These polls, often initiated by verified users (who may or may not be science popularizers), aimed to track the self-reported proportion of participants testing positive for COVID-19 (via PCR or rapid antigen test) or remaining negative, particularly during periods of rapid Omicron infection spread. The file contains links to the original polls, links to the social media accounts that published these polls, and relevant metadata about both the poll-creating accounts and the online polls themselves.Filename: Online posts & comments (From Xiaohongshu & Bilibili)Description: This file contains textual content from COVID-19 related posts and videos published by users on the Xiaohongshu and Bilibili platforms. It also includes user-generated comments reacting to these posts/videos, as well as user responses to a specific question posed within the context of the original content.Key Features of this Dataset:Data Type: Mixed, including textual data, screenshots of social media posts, web links to original sources, and coded metadata.Source Platforms: Twitter (global), Weibo/WeChat (primarily China), Xiaohongshu (China), and Bilibili (video-sharing platform, primarily China).Use Case: This dataset is intended for the analysis of public discourse, the dissemination of scientific information, and user engagement patterns across different cultural contexts and social media platforms, particularly in relation to public health information.

Internet Usage: Social Media Market Share: All Platforms: Mixi data was reported at 0.000 % in 25 May 2024. This stayed constant from the previous number of 0.000 % for 24 May 2024. Internet Usage: Social Media Market Share: All Platforms: Mixi data is updated daily, averaging 0.000 % from May 2024 (Median) to 25 May 2024, with 8 observations. The data reached an all-time high of 0.060 % in 22 May 2024 and a record low of 0.000 % in 25 May 2024. Internet Usage: Social Media Market Share: All Platforms: Mixi data remains active status in CEIC and is reported by Statcounter Global Stats. The data is categorized under Global Database’s Hong Kong SAR (China) – Table HK.SC.IU: Internet Usage: Social Media Market Share.

Chinese Domestic Databases Market Outlook

The Chinese Domestic Databases market size is set for robust growth, projected to grow from USD 2 billion in 2023 to USD 6.5 billion by 2032, reflecting an impressive CAGR of 13.5%. This growth is driven by the increasing demand for data sovereignty, technological advancements, and regulatory support from the Chinese government. The market is primed for expansion, propelled by factors such as the burgeoning digital economy, increased cloud adoption, and the strategic focus on indigenous technological advancements.

One of the primary growth factors for the Chinese Domestic Databases market is the increasing emphasis on data sovereignty and security. With the Chinese government imposing stringent regulations on data storage and management, domestic companies are compelled to utilize local databases to ensure compliance. This has created a favorable environment for the growth of domestic database providers who are tailored to meet these unique requirements. Additionally, the rise in cyber threats has further driven the need for secure and reliable database solutions, contributing significantly to market growth.

Technological advancements and innovation within the database industry are also pivotal growth drivers. The rapid development of Artificial Intelligence (AI) and Machine Learning (ML) technologies has allowed for more efficient and intelligent database management systems. Innovations in data handling, processing speed, and storage capabilities provide a significant competitive edge to domestic databases over international counterparts. Furthermore, the integration of AI and ML with databases enables advanced analytics and insights, helping businesses make more informed decisions, thus driving the market forward.

The digital transformation across various sectors in China has also fueled the demand for robust database solutions. Sectors such as finance, healthcare, and retail are increasingly relying on digital platforms for their operations, necessitating sophisticated and reliable databases to manage vast amounts of data. The push towards a digital economy by the Chinese government, coupled with initiatives like the "New Infrastructure" program, which focuses on the development of digital infrastructure including big data centers, has significantly boosted the demand for domestic databases.

Regionally, East China dominates the market due to the presence of major economic hubs like Shanghai and Hangzhou, which are home to numerous technology companies and data centers. North China, with Beijing as its central hub, also plays a significant role in the market due to the concentration of governmental bodies and financial institutions that demand secure and compliant database solutions. South China, particularly Shenzhen, is another critical region, given its prominence as a technology and innovation hub. Central China and other regions are gradually catching up as investments in digital infrastructure spread across the country. Overall, the regional dynamics of the Chinese Domestic Databases market present a diverse and rapidly evolving landscape.

Type Analysis

The Chinese Domestic Databases market comprises various types, including Relational Databases, NoSQL Databases, NewSQL Databases, and others. Relational Databases have been the cornerstone of the database industry for decades, offering structured data storage and easy retrieval through SQL queries. Despite their age, they remain highly relevant due to their robustness, reliability, and the vast ecosystems that have developed around them. In China, relational databases continue to be widely adopted across various industries, particularly in sectors like finance and government, where data accuracy and consistency are paramount.

NoSQL Databases have gained significant traction in recent years due to their flexibility, scalability, and ability to handle unstructured data. Unlike traditional relational databases, NoSQL databases can seamlessly manage large volumes of diverse data types, making them ideal for applications in big data and real-time web applications. In China, the adoption of NoSQL databases is particularly prominent in the e-commerce and social media sectors, where the ability to scale out horizontally and handle high-velocity data is crucial.

NewSQL Databases represent a hybrid approach that combines the best features of traditional relational databases and NoSQL databases. They offer the scalability and flexibility of NoSQL while maintaining the ACID (Atomicity, Consistency, Isolation, Durability) prope

Success.ai’s Fashion & Apparel Data for Apparel, Fashion & Luxury Goods Professionals in Asia provides a robust dataset tailored for businesses seeking to connect with key players in Asia’s thriving fashion and luxury goods industries. Covering roles such as brand managers, designers, retail executives, and supply chain leaders, this dataset includes verified contact details, professional insights, and actionable business data.

With access to over 700 million verified global profiles and 130 million profiles focused on Asia, Success.ai ensures your outreach, marketing, and business development strategies are supported by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution positions you to succeed in Asia’s competitive and ever-growing fashion markets.

Why Choose Success.ai’s Fashion & Apparel Data?

1. Verified Contact Data for Precision Outreach

   • Access verified work emails, phone numbers, and LinkedIn profiles of professionals in apparel, fashion, and luxury goods industries across Asia.
   • AI-driven validation ensures 99% accuracy, reducing bounce rates and enhancing communication efficiency.

2. Comprehensive Coverage of Asian Fashion Professionals

   • Includes profiles from major fashion hubs such as China, India, Japan, South Korea, and Southeast Asia.
   • Gain insights into regional consumer trends, emerging fashion markets, and luxury goods opportunities.

3. Continuously Updated Datasets

   • Real-time updates capture changes in leadership, market expansions, and product launches.
   • Stay aligned with evolving industry trends and capitalize on new opportunities effectively.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

Data Highlights:

• 700M+ Verified Global Profiles: Connect with professionals across the global fashion and apparel industries, with a focus on Asia.
• 130M+ Profiles in Asia: Gain detailed insights into professionals shaping the region’s fashion and luxury goods markets.
• Verified Contact Details: Access work emails, phone numbers, and business locations for precise targeting.
• Leadership Insights: Engage with designers, brand managers, and retail leaders driving Asia’s fashion trends.

Key Features of the Dataset:

1. Comprehensive Professional Profiles

   • Identify and connect with decision-makers in apparel design, luxury goods branding, retail operations, and supply chain management.
   • Target individuals leading innovation in sustainable fashion, fast fashion, and digital transformation.

2. Advanced Filters for Precision Campaigns

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When international events happen, related discourse is abundant on local social media, less academic attention has been paid to comparisons between topical issues and user interactions in different platforms. Taking the US-China trade war as a case, this paper provides a discourse analysis framework to discuss the topical issues and temporal evolution trends of social media reflecting local users' opinions. This study uses text mining, topical analysis, and temporal trend analysis to examine how social media interactions between Twitter and Weibo users’ response to the discourse of the US-China trade war. We saved the complete datasets for both Twitter and Weibo platforms to the Microsoft Excel formatted file.

Total-Long-Term-Assets Time Series for Beijing Quanshi World Online Net. Beijing Quanshi World Online Network Information Co., Ltd. provides internet marketing and SaaS promotion services to enterprise customers in China. It offers Tencent Advertising, a social advertising marketing platform; 360 Smart Business that covers scenarios of users to provide enterprises with full life cycle services; iQIYI effect promotion that provides solution for entertainment, information, and social interaction; Xiaohongshu, a lifestyle content platform; Toutiao, a general information platform; and Sohu, an internet media, search, and online game group, as well as value added services. The company was founded in 2005 and is based in Beijing, China.

Social media can be both a source of information and misinformation during health emergencies. During the COVID-19 pandemic, social media became a ubiquitous tool for people to communicate and represents a rich source of data researchers can use to analyse users’ experiences, knowledge and sentiments. Research on social media posts during COVID-19 has identified, to date, the perpetuity of traditional gendered norms and experiences. Yet these studies are mostly based on Western social media platforms. Little is known about gendered experiences of lockdown communicated on non-Western social media platforms. Using data from Weibo, China’s leading social media platform, we examine gendered user patterns and sentiment during the first wave of the pandemic between 1 January 2020 and 1 July 2020. We find that Weibo posts by self-identified women and men conformed with some gendered norms identified on other social media platforms during the COVID-19 pandemic (posting patterns and keyword usage) but not all (sentiment). This insight may be important for targeted public health messaging on social media during future health emergencies.To cite: Gan CCR, Feng SA, Feng H, et al. #WuhanDiary and #WuhanLockdown: gendered posting patterns and behaviours on Weibo during the COVID-19 pandemic. BMJ Global Health 2022;0:e008149. doi:10.1136/bmjgh-2021-008149

This data collection includes 'life story' interviews with Russian-speaking women from Russia, Ukraine, and Belarus who have married Chinese citizens and moved for their married lives to the People's Republic of China. Most of the recorded interviews were transcribed verbatim in Russian. Some of the non-recorded conversations are summarised in English. The topics covered in the interviews include the women's journeys to China, their experiences of family, social, and working lives, the challenges of legal, socio-cultural and emotional adaptation, and the questions of citizenship and immigration status for women and their children.The growth of mega-cities and more generally rapid urbanization in China not only include hundreds of millions internal migrants, but an increasing number of foreign (including Taiwanese and returning ethnic Chinese) migrants as well. At present, foreign migrants fill relatively small and specific skills and knowledge gaps, but also include marriage migrants, traders, investors, retirees and unskilled workers. However as China's population growth levels off, population ageing sets in. China's working age population is set to decline, slowly at first but increasingly rapidly, especially roughly after 2025. Moreover, the population's sex imbalance will become ever more pronounced and China will face an increasing shortage of marriageable and working age people. Although international migration is set to make an important contribution to these increasing demographic and labour market shortages in China, little research has as yet been done. Our project will provide estimates and projections of the role of international and internal migration on population dynamics in China. The central focus of our project is on the impact of the second demographic transition in China, including family changes, ageing, migration and regional population changes. We will collect vital data on the interaction between labour markets and population dynamics, the consequences of migration, integration policies in China, EU-China mobility, and shifting patterns of inequality and the cultural division of labour. The project therefore speaks directly to the issues under the theme Understanding Population Change of the Europe - China call for collaborative research. This research data collection includes the transcripts of life story interviews with Russian-speaking women from the Soviet Union who have married a Chinese national and moved for a family life to the People's Republic of China. The research participants for this project were recruited through a snowballing method. A written call for participation and project information were distributed through established contacts and social media, inviting interested parties to contact the researcher. A consent form with the project information was shared with prospective participants prior to the interview. The interviews took place face-to-face or through a video or audio function in Skype or in Wechat, China's most popular social media platform.

ObjectiveThe current investigation sought to elucidate the prevalence and contributing factors of sedentary behavior among pregnant women in Macao, a densely populated region characterized by a distinctive fusion of Eastern and Western cultures and a thriving global economy.MethodsThrough a cross-sectional study design, a total of 306 expectant mothers were recruited via various social media platforms and completed a sociodemographic questionnaire alongside the Chinese version of the Pregnancy Physical Activity Questionnaire.ResultsThe findings revealed that sedentary activities accounted for a relatively small proportion (7.8%) of the participants’ total activity energy expenditure. Interestingly, employment status emerged as a significant determinant, with employed pregnant women exhibiting a 57.9% lower risk of being sedentary compared to their unemployed counterparts. Moreover, multiparous women (those with two or more children) were approximately 9 times more likely to meet moderate-intensity activity standards than nulliparous women.ConclusionThese insights highlight the importance of tailoring physical activity interventions to address the specific needs and challenges faced by primiparous women and those who are unemployed during pregnancy, with a view to enhancing education on the potential hazards associated with sedentary habits and promoting active lifestyles within this unique sociocultural context.

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Stock Images Market Size 2025-2029

The stock images market size is forecast to increase by USD 1.28 billion, at a CAGR of 5.3% between 2024 and 2029. The market is experiencing significant growth, driven by the increasing popularity of visual content in digital and social media marketing.

Major Market Trends & Insights

North America dominated the market and accounted for a 43% share in 2023.
The market is expected to grow significantly in Europe region as well over the forecast period.
Based on the Application, the editorial segment led the market and was valued at USD 2.14 billion of the global revenue in 2023.
Based on the Product, the still images segment accounted for the largest market revenue share in 2023.

Market Size & Forecast

Market Opportunities: USD 4.34 Billion
Future Opportunities: USD 1.28 Billion
CAGR (2024-2029): 5.3%
North America: Largest market in 2023

Businesses are investing heavily in related portfolios to enhance their online presence and engage customers effectively. However, this trend comes with challenges. Profit margins are declining due to the increasing competition and availability of free or low-cost stock images. Companies must navigate this competitive landscape by offering high-quality, unique, and exclusive images to differentiate themselves and maintain profitability. To capitalize on this market, businesses should focus on creating a strong brand identity through visually appealing content and leveraging advanced image search technologies to cater to specific customer needs.

Additionally, exploring niche markets and offering customized solutions can provide opportunities for growth and differentiation. Overall, the market presents both opportunities and challenges, requiring strategic planning and innovative approaches to succeed.

What will be the Size of the Stock Images Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, driven by advancements in technology and shifting consumer preferences. Image format conversion, a key trend, enables businesses to adapt their visual content for various platforms and devices. Image database solutions, equipped with semantic image search, facilitate efficient content discovery. Digital asset management systems, enhanced by AI-powered image tagging and metadata extraction, streamline content organization and access. Image manipulation detection ensures authenticity and trust in visual content. Metadata tagging systems and photographic licensing models enable effective rights management. High-resolution imaging and image editing software cater to the demand for visually appealing content. Large-scale image storage solutions address the increasing volume of visual data. The commercial segment is the second largest segment of the application and was valued at USD 1.99 billion in 2023.

Image resolution scaling, panoramic image stitching, and image compression algorithms optimize content for efficient transmission and display. Visual search technology and 360-degree image creation offer innovative ways to engage consumers. Image enhancement filters, image recognition software, vector graphics optimization, and image archival systems ensure content remains relevant and accessible. Industry growth is expected to reach 12% annually, reflecting the continuous demand for visual content in various sectors. For instance, a leading e-commerce company reported a 25% increase in sales after implementing AI-driven image tagging and metadata management. This underscores the importance of optimizing visual content for discoverability and accessibility.

How is this Stock Images Industry segmented?

The stock images industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Application

  Editorial
  Commercial


Product

  Still images
  Footage


Type

  Free
  Paid


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By Application Insights

The editorial segment is estimated to witness significant growth during the forecast period. The segment was valued at USD 2.14 billion in 2023. It continued to the largest segment at a CAGR of 4.01%.

The market is witnessing significant growth, driven by the editorial segment's increasing demand. In this sector, stock images serve primarily to enhance storytelling in publishing and media. These images, designated for editorial use, are restricted to non-commercial applications. Publishing houses, which produce books, newspapers,

Comparison of major works in the field of text classification.