COVID-19 Infodemic Twitter dataset
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This repository contains a dataset consisting of tweets annotated with fine-grained labels related to disinformation about COVID-19. The labels answer seven different questions that are of interests to journalists, fact-checkers, social media platforms, policymakers, and society as a whole. There are annotations for Arabic and English.To label the dataset, we prepared comprehensive annotation guidelines (https://arxiv.org/abs/2005.00033), which can help similar tasks in different domains. Moreover, we launched an annotation platform to label tweets, where anyone can contribute and help increase the size of the dataset, which we will be updating here periodically.Please also check Dataset in git repository</a' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["COVID-19, Infodemic, Disinformation, Misinformation, Fake News"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This repository contains a dataset consisting of tweets annotated with fine-grained labels related to disinformation about COVID-19. The labels answer seven different questions that are of interests to journalists, fact-checkers, social media platforms, policymakers, and society as a whole. There are annotations for Arabic and English.To label the dataset, we prepared comprehensive annotation guidelines (https://arxiv.org/abs/2005.00033), which can help similar tasks in different domains. Moreover, we launched an annotation platform to label tweets, where anyone can contribute and help increase the size of the dataset, which we will be updating here periodically.Please also check Dataset in git repository</a' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This repository contains a dataset consisting of tweets annotated with fine-grained labels related to disinformation about COVID-19. The labels answer seven different questions that are of interests to journalists, fact-checkers, social media platforms, policymakers, and society as a whole. There are annotations for Arabic and English.To label the dataset, we prepared comprehensive annotation guidelines (https://arxiv.org/abs/2005.00033), which can help similar tasks in different domains. Moreover, we launched an annotation platform to label tweets, where anyone can contribute and help increase the size of the dataset, which we will be updating here periodically.Please also check Dataset in git repository</a
COVID-19, Infodemic, Disinformation, Misinformation, Fake News