Duplicate from Exorde/exorde-social-media-one-month-2024

Co-authored-by: Mathias Dail <[email protected]>

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README.md

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+
+---
+language:
+- multilingual
+license: mit
+annotations_creators:
+- machine-generated
+language_creators:
+- found
+size_categories:
+- 100M<n<1B
+source_datasets:
+- original
+task_categories:
+- text-classification
+- summarization
+- text-retrieval
+pretty_name: Exorde Social Media Dataset December 2024 Week 1
+tags:
+- social-media
+- multi-lingual
+- sentiment-analysis
+- emotion-detection
+- text
+---
+---
+
+  
+
+# Multi-Source, Multi-Language Social Media Dataset (1 Week Sample)
+
+  
+
+This dataset represents a rich, diverse snapshot of global online discourse, collected over nearly one month from November 14, 2024, to December 12, 2024. It comprises 269 million unique social media posts & articles from various social media platforms, blogs, and news articles, all precisely timestamped at the moment of posting. This dataset is procuded by Exorde Labs. www.exordelabs.com/.
+This dataset includes many conversations around Black Friday, Post US Elections, European financial & political changes, the collapse of the Syrian regime, the killing of the UnitedHealth CEO, and many other topics. The potential is wide.
+All items in this dataset are captured publicly, in near real-time, allowing post-deletion & retrospective analyses. This dataset is an extract of the full stream produced by Exorde.
+
+## Methodology: Total sampling of the web, statistical capture of all topics
+
+
+  
+
+## Dataset Highlights
+
+  
+
+- **Multi-Source**:  Captures content from a wide range of online platforms
+
+- **Multi-Language**:  Covers 122 different languages
+
+- **High-Resolution  Temporal Data**: Each entry is timestamped to the exact moment of posting
+
+- **Rich  Metadata**: Includes sentiment analysis, emotion detection, and thematic categorization
+
+- **Large  Scale**: 270 million unique entries collected in near real-time
+
+- **Diverse  Content**: Social media posts, blog entries, news articles, and more
+
+
+## Dataset Schema
+
+- **date**:  string (exact timestamp of post)
+- **original_text**:  string
+- **url**:  string
+- **author_hash**:  string (SHA-1 hash for privacy)
+- **language**:  string
+- **primary_theme**:  string
+- **english_keywords**:  string
+- **sentiment**:  double
+- **main_emotion**:  string
+- **secondary_themes**:  list<element: int64>
+
+  
+
+## Attributes description
+
+ - **original_text** is the exact original text of the item/post, as it was collected. It should match the original content before any
+   deletion/edition.
+-   **author_hash** is a SHA-1 Hash of the author username on a given platform, when provided. Many items have None Author_hash.
+-   **language** is detected by a fasttext-langdetect model. Isocode ISO 639.
+ -  **primary_theme** is the output of MoritzLaurer/deberta-v3-xsmall-zeroshot-v1.1-all-33, on on the
+   classes below.
+  - **secondary_themes** are the same theme classes with a mapping:
+   
+
+>        1. Economy
+>        2. Technology
+>        3. Investing
+>        4. Business
+>        5. Cryptocurrency
+>        6. Social
+>        7. Politics
+>        8. Finance
+>        9. Entertainment
+>        10. Health
+>        11. Law
+>        12. Sports
+>        13. Science
+>        14. Environment
+>        15. People
+
+      
+   
+-    **main_emotion** is computed from an emotion scoring Language model, fine-tuned on social media data.
+   
+ -  **english_keywords** is a powerful attribute, computed from an English translation of the original text. These keywords represent the core content (relevant keywords) of the text. They are produced from KeyBert & statistical algorithms.   They should be mostly in English except when translation was faulty, in that case they will be in the original language.
+   
+-   **Sentiment** is computed & aggregated from several models, including deep learning models. It is a value between -1 and 1. -1 being negative, 0 neutral and 1 positive.
+
+  
+  
+
+## Key Statistics
+
+- **Total  entries**: 269,403,210 (543 files, 496138 average rows per file)
+
+- **Date  range**: 2024-11-14 to 2024-12-11 (included)
+
+- **Unique  authors**: 21 104 502
+
+- **Languages**:  122
+
+- **Primary  themes**: 16
+
+- **Main  emotions**: 26
+
+- **Average  sentiment**: 0.043
+
+- **Most  common emotion**: Neutral
+
+  
+
+### Top 20 Sources
+
+
+- x.com	179,375,295
+- reddit.com	52,639,009
+- bsky.app	24,893,642
+- youtube.com	7,851,888
+- 4channel.org	1,077,691
+- jeuxvideo.com	280,376
+- forocoches.com	226,300
+- mastodon.social	225,319
+- news.ycombinator.com	132,079
+- lemmy.world	120,941
+- investing.com	113,480
+- tribunnews.com	89,057
+- threads.net	55,838
+- yahoo.co.jp	54,662
+- yahoo.com	38,665
+- indiatimes.com	38,006
+- news18.com	33,241
+- bhaskar.com	30,653
+- chosun.com	28,692
+- tradingview.com	28,261
+- +5000 others
+  
+  
+
+[Full source distribution](https://gist.githubusercontent.com/MathiasExorde/53eea5617640487bdd1e8d124b2df5e4/raw/5bb9a4cd9b477216d64af65e3a0918879f806e8b/gistfile1.txt)
+
+  
+
+### Top 10 Languages
+
+1. English (en): 190,190,353
+2. Spanish (es): 184,04,746
+3. Japanese (ja): 14,034,642
+4. Portuguese (pt): 12,395,668
+5. French (fr): 5,910,246
+6. German (de): 4,618,554
+7. Arabic (ar): 3,777537
+8. Turkish (tr): 2,922,411
+9. Italian (it): 2,425,941
+
+  
+
+[Full language distribution](https://gist.github.com/MathiasExorde/bded85ba620de095705bb20507fcf6f1#file-gistfile1-txt)
+
+  
+
+## About Exorde Labs
+
+  
+
+Exorde Labs is pioneering a novel collective distributed data DePIN (Decentralized Physical Infrastructure Network). Our mission is to produce a representative view of the web, minute by minute. Since our inception in July 2023, we have achieved:
+
+
+- Current capacity: Processing up to 4 billion elements annually
+- Growth rate: 20% monthly increase in data volume
+- Coverage: A comprehensive, real-time snapshot of global online discourse
+- More than 10 Million data points are processed daily, half a million per hour in near real-time
+
+
+This dataset is a small sample of our capabilities, offering researchers and developers a glimpse into the rich, multi-faceted data we collect and analyze.
+
+  
+
+For more information about our work and services, visit:
+
+  
+
+- [Exorde Labs Website](https://www.exordelabs.com/)
+
+- [Social Media Data](https://www.exordelabs.com/social-media-data)
+
+- [Exorde Labs API](https://www.exordelabs.com/api)
+
+  
+
+## Use Cases
+
+  
+
+This dataset is invaluable for a wide range of applications, including but not limited to:
+
+  
+
+- Real-time trend analysis
+
+- Cross-platform social media research
+
+- Multi-lingual sentiment analysis
+
+- Emotion detection across cultures
+
+- Thematic analysis of global discourse
+
+- Event detection and tracking
+
+- Influence mapping and network analysis
+
+  
+
+## Acknowledgments
+
+  
+
+We would like to thank the open-source community for their continued support and feedback. Special thanks to all the platforms and users whose public data has contributed to this dataset.
+
+Massive thanks to the Exorde Network and its data enthusiast community, unique of its kind.
+
+  
+
+## Licensing Information
+
+  
+
+This dataset is released under the MIT license.
+
+## Citation Information
+
+  
+
+If you use this dataset in your research or applications, please cite it as follows:
+
+  
+
+`Exorde Labs. (2024). Multi-Source, Multi-Language Social Media Dataset [Data set]. Exorde Labs. https://www.exordelabs.com/`
+
+  
+  
+
+## Contact Information
+
+  
+
+For questions, feedback, or more information about this dataset or Exorde Labs' services, please contact us at:
+
+  
+
+- Email: [[email protected]](mailto:[email protected])
+
+- Twitter: [@ExordeLabs](https://twitter.com/ExordeLabs)
+
+- GitHub: [Exorde Labs](https://github.com/exorde-labs)
+
+  
+
+We are committed to supporting the open-source community by providing high-quality, diverse datasets for cutting-edge research and development. If you find this dataset useful, consider exploring our API for real-time access to our full range of social media data.
+
+  
+  
+
+![Exorde  Labs Logo](https://cdn.prod.website-files.com/620398f412d5829aa28fbb86/62278ca0202d025e97b76555_portrait-logo-color.png)
+
+  
+  
+
+---

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