Update README.md

README.md

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-MASH: A Multiplatform Annotated Dataset for Societal Impact of Hurricane
+MASH: A Multiplatform and Multimodal Annotated Dataset for Societal Impact of Hurricane
 license: cc-by-4.0
 tags:
 - climate
@@ -22,7 +22,7 @@ description: >
   In addition, all relevant posts are annotated on three dimensions: Humanitarian Classes, Bias Classes, and Information Integrity Classes in a multi-modal approach that considers both textual and visual content, providing a rich labeled dataset for in-depth analysis.
   The dataset is also complemented by an Online Analytics Platform that not only allows users to view hurricane-related posts and articles, but also explores high-frequency keywords, user sentiment, and the locations where posts were made.
   To our best knowledge, MASH is the first large-scale, multi-platform, multimodal, and multi-dimensionally annotated hurricane dataset. 
-  We envision that MASH can contribute to the study of hurricanes' impact on society, such as disaster severity classification, event detections, public sentiment analysis, and bias identification.
+  We envision that MASH can contribute to the study of hurricanes’ impact on society, such as disaster severity classification, public sentiment analysis, disaster policy making, and bias identification.  
 dataset_type:
   - multimodal
   - text
@@ -43,7 +43,7 @@ modalities:
   - image
   - video
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-# MASH: A Multiplatform Annotated Dataset for Societal Impact of Hurricane
+# MASH: A Multiplatform and Multimodal Annotated Dataset for Societal Impact of Hurricane
 
 We present a Multiplatform Annotated Dataset for Societal Impact of Hurricane (MASH) that includes **98,662** relevant social media data posts from **Reddit**, **X**, **TikTok**, and **YouTube**. 
 In addition, all relevant posts are annotated on three dimensions: **Humanitarian Classes**, **Bias Classes**, and **Information Integrity Classes** in a multi-modal approach that considers both textual and visual content (text, images, and videos), providing a rich labeled dataset for in-depth analysis.