A multi-label dataset of large language model and crowd annotated U.S. 2024 election X (Twitter) posts for harmful content research

This record provides a multi-label dataset of 100,000 U.S. 2024 election-related X (Twitter) posts, featuring crowdsourced and LLM annotations for harmful-content research (focusing on speculation, sensationalism, conspiracy, hate speech, and satire). Data Access Details: Dehydrated Data: Publicly available at https://github.com/Sensify-Lab/USE24-XD/ Complete Dataset: Includes full post text and all engagement metrics. Due to the sensitive nature of election-period content and X's Terms of Service, you must apply for access. See the instructions below. For details of the dataset, please refer to our paper: [TBD]