/NFT-cscw-2023

Centralized or Decentralized?: Concerns and Value Judgments of Stakeholders in the Non-Fungible Tokens (NFTs) Market

Primary LanguageJupyter Notebook

Centralized or Decentralized?: Concerns and Value Judgments of Stakeholders in the Non-Fungible Tokens (NFTs) Market

Supplementary Resources, Data, and Code

Description

This repository contains supplementary resources, data, and code related to the research project "Centralized or Decentralized?: Concerns and Value Judgments of Stakeholders in the Non-Fungible Tokens (NFTs) Market." The project explores various aspects of the NFT market, including social media data, data analysis, and data visualization. It is authored by Yunpeng Xiao, Bufan Deng, Siqi Chen, Kyrie Zhixuan Zhou, RAY LC, Luyao Zhang*, and Xin Tong*, with corresponding authors marked with an asterisk.

Our datasets, metadata information, and data dictionary are open access on Harvard Dataverse.

Xiao, Yunpeng; Deng, Bufan; Chen, Siqi; Zhou, Kyrie Zhixuan; LC, RAY; Zhang, Luyao; Tong, Xin, 2023, "Replication Data for: "Centralized or Decentralized?": Concerns and Value Judgments of Stakeholders in the Non-Fungible Tokens (NFTs) Market." https://doi.org/10.7910/DVN/GLFUPA. Harvard Dataverse, V1.

Table of Contents

Data

Collected Data (tweets)

File Name Data Category Description
NFT trust.csv, NFT transparent.csv, NFT transparency.csv, NFT racism.csv, NFT morality.csv, NFT moral.csv, NFT inclusivity.csv, NFT inclusive.csv, NFT fairness.csv, NFT ethics.csv, NFT ethical.csv, NFT equity.csv, NFT equality.csv, NFT diversity.csv, NFT diverse.csv, NFT discrimination.csv, NFT bias.csv Social Media Data All NFT-related tweets searched by keyword
df_kol.csv Social Media Data Dataset of NFT-related tweets collected from detected Key Opinion Leaders (KOLs)

Analyzed Data

File Name Description Section of Paper
df_all_tweets.txt Preprocessed Dataset of all tweets collected by keyword 3.1 Data collection
words.txt Preprocessed tokens of tweets collected 4.1.1 Top Words and bigrams
df_kol_clean.csv Dataset of preprocessed NFT-related tweets from detected KOLs 3.1.2 Data Analysis
nftnx.gephi Network of collected NFT-related Twitter accounts 4.1.2 NFT Opinion Leaders on Twitter
df_top20_kol.csv The tweets and Twitter-related statistics of top 20 KOLs by centrality score measured in Gephi 4.1.2 NFT Opinion Leaders on Twitter
thematic analysis of NFT KOL and public tweets.xlsx Codebook of thematic analysis 4.2 Qualitative Findings from Twitter Analysis

Code

File Name Section of Paper URL
scrape.ipynb 3.1.1 Data Collection Code Link
analyze.ipynb 3.1.2 Data Analysis Code Link

Data Visualization

  • Fig. 1. A: The most frequent 50 words in NFT ethics-related tweets; B: Top keyword network of NFT Trust group. The most frequent 50 words in NFT ethics related tweets; B: Top keyword network of NFT Trust-group.

  • Fig. 2. Network Visualization: Opinion Leaders in NFT Marketplace. Label size reflects eigenvector centrality. Node size reflects follower count. Node colors represent detected communities. Network Visualization: Opinion Leaders in NFT Marketplace.

  • Fig. S1. Top 20 topics of thematic analysis from KOLs (visualized based on thematic codebook). Top 20 topics of thematic analysis from KOLs.

  • Fig. S2. Top 20 topics of thematic analysis from ordinary users (visualized based on thematic codebook). Top 20 topics of thematic analysis from ordinary users.