  As CryptoPunks pioneers the innovation of non-fungible tokens (NFTs) in AI
and art, the valuation mechanics of NFTs has become a trending topic. Earlier
research identifies the impact of ethics and society on the price prediction of
CryptoPunks. Since the booming year of the NFT market in 2021, the discussion
of CryptoPunks has propagated on social media. Still, existing literature
hasn't considered the social sentiment factors after the historical turning
point on NFT valuation. In this paper, we study how sentiments in social media,
together with gender and skin tone, contribute to NFT valuations by an
empirical analysis of social media, blockchain, and crypto exchange data. We
evidence social sentiments as a significant contributor to the price prediction
of CryptoPunks. Furthermore, we document structure changes in the valuation
mechanics before and after 2021. Although people's attitudes towards
Cryptopunks are primarily positive, our findings reflect imbalances in
transaction activities and pricing based on gender and skin tone. Our result is
consistent and robust, controlling for the rarity of an NFT based on the set of
human-readable attributes, including gender and skin tone. Our research
contributes to the interdisciplinary study at the intersection of AI, Ethics,
and Society, focusing on the ecosystem of decentralized AI or blockchain. We
provide our data and code for replicability as open access on GitHub.
