Update README.md

README.md

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-license: cc-by-sa-4.0
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+---
+license: cc-by-sa-4.0
+---
+# CREHate
+
+Repository for the CREHate dataset, presented in the paper "[Exploring Cross-cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis](https://arxiv.org/abs/2308.16705)". (NAACL 2024)
+
+## About CREHate (Paper Abstract)
+
+<img src="https://github.com/nlee0212/CREHate/blob/main/CREHate_Dataset_Construction.png" width="400">
+
+Most hate speech datasets neglect the cultural diversity within a single language, resulting in a critical shortcoming in hate speech detection. 
+To address this, we introduce **CREHate**, a **CR**oss-cultural **E**nglish **Hate** speech dataset.
+To construct CREHate, we follow a two-step procedure: 1) cultural post collection and 2) cross-cultural annotation.
+We sample posts from the SBIC dataset, which predominantly represents North America, and collect posts from four geographically diverse English-speaking countries (Australia, United Kingdom, Singapore, and South Africa) using culturally hateful keywords we retrieve from our survey.
+Annotations are collected from the four countries plus the United States to establish representative labels for each country.
+Our analysis highlights statistically significant disparities across countries in hate speech annotations.
+Only 56.2% of the posts in CREHate achieve consensus among all countries, with the highest pairwise label difference rate of 26%.
+Qualitative analysis shows that label disagreement occurs mostly due to different interpretations of sarcasm and the personal bias of annotators on divisive topics.
+Lastly, we evaluate large language models (LLMs) under a zero-shot setting and show that current LLMs tend to show higher accuracies on Anglosphere country labels in CREHate.
+
+## Dataset Statistics
+<div id="tab:3_1_stats">
+
+| **Data** | **Division** | **Source** | **\# Posts** |
+|:---------|:--------|:-----------|:------------:|
+| **CREHate**  | **CC-SBIC** | Reddit     |     568      |
+|          |         | Twitter    |     273      |
+|          |         | Gab        |      80      |
+|          |         | Stormfront |      59      |
+|          | **CP**      | Reddit     |     311      |
+|          |         | YouTube    |     289      |
+|          |         | **total**  |  **1,580**   |
+
+Data statistics and sources of CREHate. CC-SBIC refers to cross-culturally
+re-annotated SBIC posts. CP refers to additionally collected cultural
+posts from four countries (AU, GB, SG, and ZA), which are also
+cross-culturally annotated.
+
+</div>
+
+All 1,580 posts have been annotated by annotators from the United States, Australia, United Kingdom, Singapore, and South Africa, resulting in a total of 7,900 labels.