A Weibo Dataset for the 2022 Russo-Ukrainian Crisis

03/09/2022
by   Yi R. Fung, et al.
0

Online social networks such as Twitter and Weibo play an important role in how people stay informed and exchange reactions. Each crisis encompasses a new opportunity to study the portability of models for various tasks (e.g., information extraction, complex event understanding, misinformation detection, etc.), due to differences in domain, entities, and event types. We present the Russia-Ukraine Crisis Weibo (RUW) dataset, with over 3.5M user posts and comments in the first release. Our data is available at https://github.com/yrf1/RussiaUkraine_weibo_dataset.

READ FULL TEXT

page 1

page 2

page 3

research
10/02/2022

ReAct: A Review Comment Dataset for Actionability (and more)

Review comments play an important role in the evolution of documents. Fo...
research
04/25/2019

TwitterMancer: Predicting Interactions on Twitter Accurately

This paper investigates the interplay between different types of user in...
research
03/06/2022

Twitter Dataset for 2022 Russo-Ukrainian Crisis

Online Social Networks (OSNs) play a significant role in information sha...
research
07/11/2021

Social Catalysts: Characterizing People Who Spark Conversations Among Others

People assume different and important roles within social networks. Some...
research
11/16/2022

Few-shot Learning for Multi-modal Social Media Event Filtering

Social media has become an important data source for event analysis. Whe...
research
04/03/2023

Hate Speech Targets Detection in Parler using BERT

Online social networks have become a fundamental component of our everyd...
research
08/07/2017

STARDATA: A StarCraft AI Research Dataset

We release a dataset of 65646 StarCraft replays that contains 1535 milli...

Please sign up or login with your details

Forgot password? Click here to reset