Replication Data for: "Centralized or Decentralized?": Concerns and Value Judgments of Stakeholders in the Non-Fungible Tokens (NFTs) Market
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下载链接:
https://doi.org/10.7910/DVN/GLFUPA
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资源简介:
Dataset Filename: NFT_tweets_collected_2021.6.1-2022.6.1.csv This dataset is a comprehensive collection of Twitter tweets sourced using the Python package snscrape, specifically querying tweets containing the keyword 'NFT' along with keywords related to AI ethics, such as [fairness, equity, equality], [bias, discrimination, racism], [ethics, ethical, morality, moral], [trust, transparency, transparent], and [diversity, diverse]. The data spans from June 2022 to July 2023, providing valuable insights into the discourse around Non-Fungible Tokens (NFTs) in relation to AI ethics during this period. It comprises seven key variables: 'Tweets' (tweet text content), 'Url' (tweet URL), 'User' (user information), 'followersCount' (number of followers of the user), 'likeCount' (number of likes received), 'mentionedUsers' (users mentioned in the tweet), and 'retweetCount' (number of retweets). This dataset serves as a valuable resource for analyzing and understanding the discussions and interactions related to NFTs and AI ethics on Twitter. Dataset Filename: data_dictionary_of_NFT_tweets_collected_2021.6.1-2022.6.1.csv The data dictionary provided corresponds to the Twitter dataset NFT_tweets_collected_2021.6.1-2022.6.1.csv, offering a detailed description of all variables within the dataset. These variables include 'Tweets' (tweet text content), 'Url' (tweet URL), 'User' (user information), 'followersCount' (number of followers of the user), 'likeCount' (number of likes received), 'mentionedUsers' (users mentioned in the tweet), and 'retweetCount' (number of retweets). Each entry in the data dictionary offers essential information such as the variable name, a clear description of its purpose, data type, example values, and any constraints or limitations associated with that specific variable. This data dictionary serves as a valuable reference to understand and navigate the dataset, facilitating effective analysis and interpretation of the Twitter data related to NFTs and AI ethics.
创建时间:
2023-11-13



