AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security

Miner Extractable Value (MEV) raises significant fairness concerns: The research identifies that miners can reorder blockchain transactions for profit, which the paper characterizes as a "severe security issue" that goes beyond technical problems to create equity concerns in how blockchain systems operate.

Public discourse reveals broad ethical awareness: Analysis of over 20,000 tweets shows that the blockchain community is actively discussing MEV through an ethical lens, with conversations spanning security, equity, emotional concerns, and calls for solutions—indicating that responsible AI and blockchain governance are topics of genuine public concern.

Social media sentiment reflects real blockchain activity: The study found "co-movements" between MEV activities on blockchain networks and discussions on social media platforms, suggesting that public conversation about these issues is responsive to actual technical problems occurring in the system.

Current solutions like Flashbots are recognized but debated: While the paper notes that existing research proposes solutions including the prominent platform Flashbots, the Twitter analysis suggests these solutions remain topics of discussion and concern rather than being universally accepted as adequate fixes.

Blockchain ethics requires interdisciplinary analysis: By combining blockchain data analysis with social media sentiment analysis using NLP, the research demonstrates that understanding the real-world impact of blockchain systems requires looking beyond technical metrics to capture how these issues affect broader society and public perception.