This dataset provides detailed rankings and key metrics for 100+ social media platforms and sites in 2025. It includes information such as user base, popularity trends, and global reach. Ideal for analyzing social media growth, user engagement, and market trends. Whether you're a data scientist, marketer, or researcher, this dataset offers valuable insights into the evolving digital landscape.

Over the five years through 2025-26, industry revenue is forecast to expand at a compound annual rate of 20.3% to reach £12.5 billion. Social media platforms are integral to people's lives, offering ways to communicate, create and view content and share information. According to Ofcom, approximately 89% of UK internet users in 2023 used social media apps or sites. Teenagers and young adults are the biggest users. Advertising is the primary revenue source for social media platforms, although subscription-based services are gaining momentum as platforms seek to diversify their incomes. TikTok is the success story of the past five years, becoming the most downloaded app between 2020 and 2022, according to Apptopia. The short-form video platform has over 30 million monthly users in the UK in 2025. After Musk's takeover, X, formerly known as Twitter, adjusted its content moderation and allowed previously banned accounts to return. As a result, over 600 advertisers pulled their ads from the site because of fears their brand may be associated with malcontent. In response to falling ad revenue, X has introduced a subscription-based service which enables users to verify themselves and boosts the number of people who view their tweets. Meta-owned Facebook and Instagram have responded by introducing a similar service. In 2025, more social media platforms are using AI to boost user engagement. This improves click-through rates and drives higher advertising revenue. Industry revenue is expected to grow by 6.3% in 2025-26. Over the five years through 2030-31, social media platforms' revenue is projected to climb at an estimated 9.2% to reach £19.4 billion. Regulations relating to how data is collected, stored, and shared will force advertisers and platforms to rethink how they can target their desired demographics. The tightening of regulations will raise industry compliance costs, weighing on profit margin. Older age groups present a new revenue opportunity for social media platforms if they can bridge the gap between passive TV consumption and interactive digital engagement. Augmented Reality (AR) technology will move beyond filters to become standard for immersive product trials, interactive ads, and virtual meetups

During a 2024 survey among marketers worldwide, around 86 percent reported using Facebook for marketing purposes. Instagram and LinkedIn followed, respectively mentioned by 79 and 65 percent of the respondents.

              The global social media marketing segment

              According to the same study, 59 percent of responding marketers intended to increase their organic use of YouTube for marketing purposes throughout that year. LinkedIn and Instagram followed with similar shares, rounding up the top three social media platforms attracting a planned growth in organic use among global marketers in 2024. Their main driver is increasing brand exposure and traffic, which led the ranking of benefits of social media marketing worldwide.

              Social media for B2B marketing

              Social media platform adoption rates among business-to-consumer (B2C) and business-to-business (B2B) marketers vary according to each subsegment's focus. While B2C professionals prioritize Facebook and Instagram – both run by Meta, Inc. – due to their popularity among online audiences, B2B marketers concentrate their endeavors on Microsoft-owned LinkedIn due to its goal to connect people and companies in a corporate context.

Description:

The "Daily Social Media Active Users" dataset provides a comprehensive and dynamic look into the digital presence and activity of global users across major social media platforms. The data was generated to simulate real-world usage patterns for 13 popular platforms, including Facebook, YouTube, WhatsApp, Instagram, WeChat, TikTok, Telegram, Snapchat, X (formerly Twitter), Pinterest, Reddit, Threads, LinkedIn, and Quora. This dataset contains 10,000 rows and includes several key fields that offer insights into user demographics, engagement, and usage habits.

Dataset Breakdown:

• Platform: The name of the social media platform where the user activity is tracked. It includes globally recognized platforms, such as Facebook, YouTube, and TikTok, that are known for their large, active user bases.

• Owner: The company or entity that owns and operates the platform. Examples include Meta for Facebook, Instagram, and WhatsApp, Google for YouTube, and ByteDance for TikTok.

• Primary Usage: This category identifies the primary function of each platform. Social media platforms differ in their primary usage, whether it's for social networking, messaging, multimedia sharing, professional networking, or more.

• Country: The geographical region where the user is located. The dataset simulates global coverage, showcasing users from diverse locations and regions. It helps in understanding how user behavior varies across different countries.

• Daily Time Spent (min): This field tracks how much time a user spends on a given platform on a daily basis, expressed in minutes. Time spent data is critical for understanding user engagement levels and the popularity of specific platforms.

• Verified Account: Indicates whether the user has a verified account. This feature mimics real-world patterns where verified users (often public figures, businesses, or influencers) have enhanced status on social media platforms.

• Date Joined: The date when the user registered or started using the platform. This data simulates user account history and can provide insights into user retention trends or platform growth over time.

Context and Use Cases:

• This synthetic dataset is designed to offer a privacy-friendly alternative for analytics, research, and machine learning purposes. Given the complexities and privacy concerns around using real user data, especially in the context of social media, this dataset offers a clean and secure way to develop, test, and fine-tune applications, models, and algorithms without the risks of handling sensitive or personal information.

Researchers, data scientists, and developers can use this dataset to:

• Model User Behavior: By analyzing patterns in daily time spent, verified status, and country of origin, users can model and predict social media engagement behavior.

• Test Analytics Tools: Social media monitoring and analytics platforms can use this dataset to simulate user activity and optimize their tools for engagement tracking, reporting, and visualization.

• Train Machine Learning Algorithms: The dataset can be used to train models for various tasks like user segmentation, recommendation systems, or churn prediction based on engagement metrics.

• Create Dashboards: This dataset can serve as the foundation for creating user-friendly dashboards that visualize user trends, platform comparisons, and engagement patterns across the globe.

• Conduct Market Research: Business intelligence teams can use the data to understand how various demographics use social media, offering valuable insights into the most engaged regions, platform preferences, and usage behaviors.

• Sources of Inspiration: This dataset is inspired by public data from industry reports, such as those from Statista, DataReportal, and other market research platforms. These sources provide insights into the global user base and usage statistics of popular social media platforms. The synthetic nature of this dataset allows for the use of realistic engagement metrics without violating any privacy concerns, making it an ideal tool for educational, analytical, and research purposes.

The structure and design of the dataset are based on real-world usage patterns and aim to represent a variety of users from different backgrounds, countries, and activity levels. This diversity makes it an ideal candidate for testing data-driven solutions and exploring social media trends.

Future Considerations:

As the social media landscape continues to evolve, this dataset can be updated or extended to include new platforms, engagement metrics, or user behaviors. Future iterations may incorporate features like post frequency, follower counts, engagement rates (likes, comments, shares), or even sentiment analysis from user-generated content.

By leveraging this dataset, analysts and data scientists can create better, more effective strategies ...

In 2004, a Harvard student launched a platform that would go on to redefine how humans connect. Fast forward to 2025, social media isn't just a way to stay in touch, it’s where people shop, learn, protest, play, and even find love. From early-morning scrolls to late-night reels, platforms have...

This dataset contains 600 synthetic entries simulating social media activity across three major platforms: Twitter, Reddit, and Instagram. The data was generated to analyze trends, sentiments, and user engagement patterns based on hashtags and posts. It can be useful for researchers, data analysts, and machine learning enthusiasts interested in studying social media behavior.

Dataset Structure The dataset includes the following columns:

Date: The date of the post, ranging across a simulated timeline. Platform: The social media platform where the post was made (Twitter, Reddit, or Instagram). Hashtag: The main hashtag associated with the post, such as #AI, #MachineLearning, or #Python. Post Content: The text of the post, crafted to simulate common social media interactions. Sentiment: The sentiment of the post, classified as Positive, Neutral, or Negative. Likes: The number of likes the post received. Shares: The number of shares or retweets the post received. Potential Use Cases Sentiment analysis: Train machine learning models to detect sentiment in text. Hashtag popularity analysis: Determine which hashtags are most commonly used or generate the most engagement. Engagement trends: Explore correlations between post sentiment and engagement metrics (likes/shares). Platform comparison: Compare user behavior across different social media platforms. Acknowledgments This dataset is fully synthetic and was generated using Python. It does not contain any real user data and is intended for educational and research purposes.

This dataset provides a comprehensive and diverse snapshot of social media users and their engagements across various popular platforms such as Instagram, Twitter, Facebook, YouTube, Pinterest, TikTok, and Spotify. With 100 rows of anonymized data, it offers valuable insights into the dynamic world of social media usage. 😀

Each row in the dataset represents a unique user with a designated User ID and Username to ensure anonymity. Alongside user-specific details, the dataset captures essential information, including the platform being used, the post's content, timestamp, and media type (text, image, or video). Additionally, it tracks engagement metrics such as likes, comments, shares/retweets, and user interactions, providing an overview of the user's popularity and social impact. 💬

https://media.giphy.com/media/3GSoFVODOkiPBFArlu/giphy.gif" alt="social">

The dataset also includes pertinent user attributes, such as account creation date, privacy settings, number of followers, and following. The users' profiles are further enriched with demographic characteristics, including anonymized representations of their age group and gender. 🗨️

https://media.giphy.com/media/2tSodgDfwCjIMCBY8h/giphy.gif" alt="socialcat">

Hashtags, mentions, media URLs, post URLs, and self-reported location contribute to understanding user interests, content themes, and geographic distribution. Moreover, users' bios and language preferences offer insights into their passions, activities, and linguistic communication on the platforms.

Dataset

This dataset was created by Jigyashu Singh Lodhi

Released under Other (specified in description)

Contents

The size of the Social Media Platforms market was valued at USD XXX million in 2024 and is projected to reach USD XXX million by 2033, with an expected CAGR of XX % during the forecast period.

How many people use social media? Social media usage is one of the most popular online activities. In 2025, over *** billion people were estimated to be using social media worldwide, a number projected to increase to over *** billion in 2030. Who uses social media? Social networking is one of the most popular digital activities worldwide, and it is no surprise that social networking penetration across all regions is constantly increasing. As of January 2023, the global social media usage rate stood at ** percent. This figure is anticipated to grow as less developed digital markets catch up with other regions when it comes to infrastructure development and the availability of cheap mobile devices. In fact, most of social media’s global growth is driven by the increasing usage of mobile devices. The mobile-first market of Eastern Asia topped the global ranking of mobile social networking penetration, followed by established digital powerhouses such as the Americas and Northern Europe. How much time do people spend on social media? Social media is an integral part of daily internet usage. On average, internet users spend *** minutes per day on social media and messaging apps, an increase of ** minutes since 2015. On average, internet users in Latin America had the highest average time spent per day on social media. What are the most popular social media platforms? Market leader Facebook was the first social network to surpass *** billion registered accounts and currently boasts approximately *** billion monthly active users, making it the most popular social network worldwide. In June 2023, the top social media apps in the Apple App Store included mobile messaging apps WhatsApp and Telegram Messenger, as well as the ever-popular app version of Facebook.

This dataset consists of 734 entries representing social media activity and performance from a local SME (Micro, Small, and Medium Enterprise) across TikTok, Instagram, and Twitter platforms. It captures key metrics related to audience interaction and content strategy effectiveness, and is valuable for evaluating and optimizing digital marketing efforts for small businesses.

Area : Target location or customer region where the UMKM's content is directed. Category : The business content category (e.g., product promotion, education, seasonal campaign). Day : The day of the week the content was published. Month : The month the post went live. Platform : The social media platform used by the UMKM (TikTok, Instagram, or Twitter). Post Type : The format of the content posted: image, video, carousel, or text. Timestamp : The exact date and time when the content was posted. User : The username or business account that posted the content. Week : Week number within the year for time-based analysis. Year : The year the content was posted. Comments : Total number of comments received on the post. Engagement Rate : A calculated metric showing how engaging the content is (based on likes, comments, shares vs. reach/impressions). Hour : Hour of the day the post was published. Impressions : Number of times the content appeared on users' feeds. Likes : Number of likes the post received. Reach : Number of unique users who saw the content. Shares : Number of times users shared the content.

Snapshot img

Social Media Analytics Market Size 2025-2029

The social media analytics market size is forecast to increase by USD 21.2 billion, at a CAGR of 35.2% between 2024 and 2029.

The market is experiencing significant growth, driven by the expanding availability and complexity of social media data. Businesses increasingly recognize the value of social media insights to inform marketing strategies, enhance customer engagement, and gauge brand reputation. In response, social media platforms continue to roll out advanced targeting options, enabling more precise audience segmentation and personalized messaging. However, the surging use of social media data also presents challenges. Interpreting unstructured data from various sources remains a formidable task, requiring sophisticated analytics tools and expertise.
Companies must navigate these complexities to effectively harness the power of social media analytics and stay competitive in today's digital landscape. To succeed, organizations need to invest in advanced analytics solutions, cultivate data literacy skills, and establish clear data governance policies. By addressing these challenges, businesses can unlock valuable insights from social media data and capitalize on emerging opportunities in this dynamic market.

What will be the Size of the Social Media Analytics 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.
Request Free Sample

The market continues to evolve, offering valuable insights for businesses across various sectors. Hashtag tracking and sentiment classification help organizations understand public perception and engagement with their brand. Engagement metrics, share of voice, and trend analysis algorithms provide valuable data for brand reputation management and customer journey mapping. Social media ROI, influencer marketing metrics, and sentiment scoring offer insights into the effectiveness of advertising campaigns. User behavior patterns, predictive modeling, and anomaly detection enable businesses to anticipate trends and respond to crises in real-time. Social media listening, lead generation attribution, influencer identification, and customer satisfaction scores provide actionable insights for community management and crisis communication management.

Data visualization dashboards and social listening tools facilitate effective audience segmentation and conversational AI. Reach forecasting, content performance, keyword analysis, and campaign effectiveness metrics offer valuable insights for optimizing social media strategies. Platform-specific insights enable businesses to tailor their approach to each social media channel. According to recent market research, the market is expected to grow by over 15% annually, reflecting the increasing importance of social media data for businesses. For instance, a retail company used social media listening tools to monitor customer conversations and identified a trend in customer complaints about product packaging. The company responded by redesigning the packaging, resulting in a 12% increase in sales.

This example highlights the potential impact of social media analytics on business performance.

How is this Social Media Analytics Industry segmented?

The social media analytics 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.

End-user

  Retail
  Government
  Media and entertainment
  Travel
  Others


Application

  Sales and marketing management
  Customer experience management
  Competitive intelligence
  Risk management
  Public safety and law enforcement


Deployment

  On-premises
  Cloud


Type

  Predictive analytics
  Prescriptive analytics
  Descriptive analytics
  Diagnostics analytics


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan
    South Korea


  Rest of World (ROW)

By End-user Insights

The retail segment is estimated to witness significant growth during the forecast period.

Social media analytics plays a pivotal role in retail marketing, enabling businesses to track and analyze customer engagement, sentiment, and trends in real-time. Tools such as hashtag tracking, sentiment classification, and engagement metrics help retailers understand their audience's preferences and behavior patterns. Share of voice and trend analysis algorithms provide insights into market dynamics and brand reputation management. Customer journey mapping and social media ROI measurement allow businesses to optimize their marketing strategies and improve sales. Influencer marketing metrics, sentiment scoring, and advertising campai

Web3 Social Media Platforms Market is estimated to reach USD 471 Bn By 2034, Riding on a Strong 51.9% CAGR throughout the forecast period.

Dataset Overview

This comprehensive dataset offers an in-depth analysis of social media engagements across various platforms. It captures the dynamics of user interactions by tracking the number of reactions, comments, shares, and types of posts. Ideal for social media analysts, marketers, and researchers, this dataset serves as a critical tool for understanding digital communication trends and enhancing social media strategies. Each entry provides detailed metrics on how posts are received by audiences, enabling data-driven insights into content performance.

Key Features:

📌 num_reactions: Total number of reactions a post receives, encapsulating the overall engagement. 📍 num_comments: Reflects the level of audience interaction through comments. 📸 num_shares: Indicates the virality of the post by counting how many times it has been shared. ❤️ num_likes: Tracks the number of likes, showing general approval of the content. 🥰 num_loves: Captures more intense affection reactions to posts. 😮 num_wows: Measures the surprise or awe factor of the post. 😂 num_hahas: Counts instances of amusement or laughter triggered by the post. 😢 num_sads: Reflects the number of sad reactions, indicating emotional impact. 😡 num_angrys: Tracks angry reactions, highlighting content that might be controversial or upsetting. 🔗 status_type_link: Binary indicator of whether the post includes a link, enhancing its informational value. 🖼️ status_type_photo: Identifies posts with photos, crucial for visual content analysis. 📝 status_type_status: Marks textual posts, focusing on written content engagement. 🎥 status_type_video: Distinguishes posts with videos, important for engagement in dynamic content.

This dataset not only aids in measuring the effectiveness of social media campaigns but also supports the development of targeted marketing strategies and content optimization efforts to maximize audience engagement.

Global Social Media Platforms market size 2021 was recorded $207.48 Billion whereas by the end of 2025 it will reach $307.4 Billion. According to the author, by 2033 Social Media Platforms market size will become $674.774. Social Media Platforms market will be growing at a CAGR of 10.327% during 2025 to 2033.

1) Data Introduction • The Social Media Usage Dataset(Applications) features patterns and activity indicators that 1,000 users use seven major social media platforms, including Facebook, Instagram, and Twitter.

2) Data Utilization (1) Social Media Usage Dataset(Applications) has characteristics that: • This dataset provides different social media activity data for each user, including daily usage time, number of posts, number of likes received, and number of new followers. (2) Social Media Usage Dataset(Applications) can be used to: • Analysis of User Participation by Platform: You can analyze participation and popular trends by platform by comparing usage time and activity for each social media. • Establish marketing strategy: Based on user activity data, it can be used for targeted marketing, content production, and user retention strategies.

Snapshot img

Social Media Management Software Market Size 2025-2029

The social media management software market size is forecast to increase by USD 54.98 billion, at a CAGR of 24.9% between 2024 and 2029.

The market is experiencing significant growth, driven by the increasing number of users on social media platforms. With billions of active social media users worldwide, businesses are recognizing the need for efficient and effective social media management solutions. A key trend in this market is the integration of advanced analytics capabilities into social media management software. This enables businesses to gain valuable insights into consumer behavior, preferences, and trends, informing data-driven marketing strategies. However, the high price point of application software poses a challenge for smaller businesses and startups, limiting their access to these tools.
To capitalize on market opportunities, companies must focus on offering competitive pricing and flexible pricing models. Additionally, continuous innovation in analytics capabilities and user-friendly interfaces will be essential to meet the evolving needs of businesses in the digital age.

What will be the Size of the Social Media Management Software 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.
Request Free Sample

The social media management market continues to evolve, with dynamic trends shaping its landscape. Integration of social media APIs facilitates seamless data flow between platforms and other business systems. Social media crowdsourcing harnesses user-generated content for marketing initiatives, while gamification adds an engaging element to brand interactions. Social media optimization ensures content is tailored for each platform, enhancing reach and engagement. Auditing tools assess performance, identifying areas for improvement. Monitoring solutions track brand mentions and sentiment analysis provides valuable customer insights.

Social media strategy is crucial, balancing automation and human intervention for effective community management. Reporting and analytics offer ROI measurements, while advertising targets specific demographics. Contests and sweepstakes foster engagement, with compliance a key consideration. Partnerships and storytelling expand reach, aligning with emerging trends. Continuous innovation characterizes this market, as businesses adapt to evolving consumer behaviors and platform features.

How is this Social Media Management Software Industry segmented?

The social media management software 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.

End-user

  Retail and consumer goods
  Healthcare and life sciences
  IT and telecom
  Government and public sector
  Others


Deployment

  Cloud-based
  On-premises


Sector

  Large enterprises
  Small and medium sized enterprises


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  APAC

    China
    India
    Japan


  Rest of World (ROW)

By End-user Insights

The retail and consumer goods segment is estimated to witness significant growth during the forecast period.

Social media integration is a crucial aspect of modern business strategies, enabling seamless communication between various platforms and retail systems. Measuring social media performance through analytics and reporting tools is essential for understanding engagement levels, sentiment analysis, and reach. Social media management solutions facilitate scheduling, automation, and monitoring of multiple accounts, ensuring consistent brand messaging and community management. Social media platforms themselves offer various features for contests, giveaways, and sweepstakes to boost engagement and reach. Social media advertising provides targeted campaigns to reach specific audiences, while optimization and auditing tools help improve performance. Listening and responding to customer feedback through social media is vital for maintaining positive brand reputation and customer loyalty.

Social media marketing strategies focus on storytelling, partnerships, and trends to create immersive and harmonious brand experiences. Sentiment analysis and engagement metrics help brands understand their audience's preferences and tailor their messaging accordingly. Social media contests, gamification, and crowdsourcing foster a sense of community and encourage user-generated content. Social media optimization and compliance are essential for maintaining brand integrity and adhering to industry regulations. Social media trends continuously evolve, making it necessary for businesses to stay infor

Snapshot img

Social Networking Market Size 2025-2029

The social networking market size is forecast to increase by USD 312.3 billion, at a CAGR of 21.6% between 2024 and 2029.

Major Market Trends & Insights

North America dominated the market and accounted for a 41% growth during the forecast period.
By the Type - Advertising segment was valued at USD 80.70 billion in 2023
By the Distribution Channel - Google segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 318.56 billion
Market Future Opportunities: USD 312.30 billion 
CAGR : 21.6%
North America: Largest market in 2023

Market Summary

The market continues to expand its reach and influence across various industries, with businesses recognizing its potential for customer engagement and brand awareness. According to recent studies, there are approximately 4.66 billion active social media users worldwide, representing a 13% increase from 2020. This growth is driven by the increased internet penetration and the popularity of social media platforms for personal and professional use. Social media advertisements have become a significant revenue source, with businesses investing heavily in targeted campaigns to reach their audiences.
However, privacy concerns remain a challenge, with users increasingly cautious about sharing personal information online. Despite this, the market's continuous evolution and the emergence of new trends, such as live streaming and virtual events, ensure its ongoing relevance and importance for businesses.

What will be the Size of the Social Networking Market during the forecast period?

Explore market size, adoption trends, and growth potential for social networking market Request Free Sample

The market exhibits consistent growth, with current usage accounting for approximately 3.6 billion users worldwide, representing a significant 4.5% increase year-over-year. Looking ahead, industry experts anticipate a continued expansion, with projections indicating a 5.2% annual growth rate. Notably, mobile devices account for over 90% of social media usage, underscoring the importance of optimizing platforms for this medium. Furthermore, businesses increasingly leverage social networking for marketing purposes, with advertising revenue reaching an estimated USD 84.3 billion in 2021. In comparison, the time spent on social media platforms per day has risen by 45 minutes since 2019, highlighting the growing influence of these channels on consumer behavior.
This trend is further accentuated by the integration of advanced features, such as live streaming, video content, and AI-driven recommendations, which enhance user engagement and monetization opportunities.

How is this Social Networking Industry segmented?

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

Type

  Advertising
  In-app purchase
  Paid apps


Distribution Channel

  Google
  Apple
  App Store Distribution


Service

  Communication
  Entertainment
  Socialization
  Marketing
  Customer service


Platform

  Website-based
  Mobile apps
  Hybrid platforms


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    Spain
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The advertising segment is estimated to witness significant growth during the forecast period.

In the dynamic and evolving landscape of digital communication, the market continues to expand, driven by innovative technologies and user engagement. According to recent data, social networking platforms accounted for approximately 30% of the total time spent online in 2021, reflecting a significant 15% increase from the previous year. Furthermore, industry experts anticipate that social media usage will continue to grow, with an estimated 25% of the global population expected to use social media by 2025. Content moderation systems play a crucial role in ensuring a safe and inclusive online environment. These systems employ advanced techniques, such as natural language processing, conversational AI, and machine learning models, to filter out inappropriate content and maintain platform governance.

User engagement metrics, including time spent on platforms, user-generated content, and social interaction dynamics, are closely monitored to optimize user experience and foster community building strategies. Platform scalability and network security protocols are essential for accommodating the increasing user base and data privacy regulations. Spam filtering techniques and link pred

This dataset captures user feedback from various social media platforms, providing textual feedback, sentiment labels, and engagement metrics. Each record includes the following attributes:

User_ID: A unique identifier for the user. Feedback_Text: The user's feedback text, reflecting their opinion or experience. Sentiment: The sentiment of the feedback, categorized as Positive, Negative, or Neutral. Likes, Replies, Shares: Metrics representing the engagement levels for each feedback post. Platform: The social media platform where the feedback was shared (e.g., Facebook, Twitter). User_Activity_Score: A calculated score indicating the overall activity level of the user on the platform.

Discover the explosive growth of the social media platforms market! This in-depth analysis reveals key trends, leading companies (Facebook, Instagram, TikTok, Twitter, LinkedIn), market size projections, and regional insights for 2025-2033. Learn about driving forces, challenges, and future opportunities in this lucrative sector.