Update README.md

README.md

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-license: cc-by-4.0
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+---
+license: cc-by-4.0
+---
+# 📰 multiCred: A Dataset of News Organization Credibility on Twitter
+
+**multiCred** is a research dataset collected and used in the paper  
+> **“Multilevel User Credibility Assessment in Social Networks.”**  
+
+It contains Twitter (X) accounts belonging to **news organizations** and their associated **tweet and comment IDs**.  
+The dataset is designed to support studies in **media credibility**, **information reliability**, and **news dissemination patterns** on social media.
+
+This dataset follows the [Twitter Developer Agreement and Policy](https://developer.twitter.com/en/developer-terms/policy).  
+It includes only **Tweet IDs** and **User IDs** — no tweet text, usernames, or personal data are shared.
+
+---
+## 🧩 Dataset Summary
+
+| Aspect | Description |
+|---------|--------------|
+| **Paper** | *Multilevel User Credibility Assessment in Social Networks* |
+| **Entities** | 1,233 Twitter accounts belonging to news organizations |
+| **Fields per entry** | `user`, `tweets`, `comments`, `label_available` |
+| **Data Type** | Tweet and User IDs only |
+| **Labels** | Some accounts have credibility labels from NewsGuard (not publicly shared) |
+| **Language** | Various (depending on the organization) |
+| **License** | CC BY-NC 4.0 |
+| **Use Case** | Research on news credibility, media bias, and misinformation |
+
+---
+## 💾 Data Structure
+
+Each entry in `multiCred.json` follows this structure:
+
+```json
+{
+  "user": "1234567890",
+  "tweets": ["111111111111111111", "222222222222222222"],
+  "comments": ["333333333333333333", "444444444444444444"],
+  "label_available": true
+}
+```
+
+---
+# 📰 Dataset Composition
+
+- **Accounts:** 1,233 verified or recognized news organizations  
+- **Tweets:** IDs of posts authored by these organizations  
+- **Comments:** IDs of replies directed at those accounts  
+- **Labels:** Some organizations are labeled according to NewsGuard’s credibility ratings (labels not publicly released)  
+
+---
+# ⚖️ Ethical and Legal Considerations
+
+- All accounts represent institutional, public news outlets, **not private individuals**.  
+- Only **Tweet IDs** and **User IDs** are shared — no tweet text, usernames, bios, or images.  
+- The dataset fully complies with:  
+  - Twitter Developer Policy  
+  - NewsGuard Terms of Use  
+
+---
+# 🔒 Access to Credibility Labels
+
+- A portion of this dataset includes credibility labels derived from NewsGuard.  
+- Due to copyright restrictions, these labels **cannot be publicly shared**.  
+- Researchers interested in accessing the labeled subset may contact for **non-commercial, academic research purposes**.  
+
+**Contact:** [mohammad.moradi9775@gmail.com]  
+Please include your affiliation and intended use.
+
+---
+# 🧰 How to Rehydrate Tweets
+
+You can rehydrate Profile IDs, Tweet IDs and IDs of replies to obtain profile, tweet text and their metadata using tools like twarc2 and snscrape.
+
+# 🧠 Intended Uses
+
+- Studying news credibility and trustworthiness on social media  
+- Modeling information diffusion from credible vs. non-credible sources  
+- Developing and evaluating automatic credibility assessment systems  
+
+---
+# 🚫 Limitations
+
+- The dataset does **not include tweet text or NewsGuard ratings**  
+- Some accounts may be inactive or removed since data collection  
+- NewsGuard data remains proprietary and **cannot be redistributed**  
+- Tweet IDs may no longer resolve if the tweet or account has been deleted  
+- Labels are only available for a subset of accounts and must be requested separately  
+
+---
+# 🪪 License
+
+- **License:** CC BY-NC 4.0  
+- You may share and adapt the dataset for **non-commercial research** with proper attribution, and in full compliance with Twitter and NewsGuard policies  
+
+---
+# 🧾 Citation
+
+Please cite both the dataset and the original paper:
+
+```bibtex
+@dataset{multicred_2025,
+  author    = {Mohammad Moradi},
+  title     = {multiCred: A Dataset of News Organization Credibility on Twitter},
+  year      = {2025},
+  publisher = {Hugging Face Datasets},
+  url       = {https://huggingface.co/datasets/mamad97/MultiCred-Dataset}
+}
+
+@article{DBLP:journals/corr/abs-2309-13305,
+  author       = {Mohammad Moradi and
+                  Mostafa Haghir Chehreghani},
+  title        = {Multilevel User Credibility Assessment in Social Networks},
+  journal      = {CoRR},
+  volume       = {abs/2309.13305},
+  year         = {2025},
+  url          = {https://doi.org/10.48550/arXiv.2309.13305},
+  doi          = {10.48550/ARXIV.2309.13305},
+}
+```
+