Beyond Single-Tokenomics: How Farcaster's Pluralistic Incentives Reshape Social Networking
Wen Yang, Qiming Ye, Onur Ascigil, Saidu Sokoto, Leonhard Balduf, Micha{\l} Kr\'ol, Gareth Tyson

TL;DR
This study empirically examines how diverse token-based incentives influence user behavior and platform dynamics on Farcaster, revealing complex trade-offs and effects of different reward mechanisms in a decentralized social network.
Contribution
First empirical analysis of multi-token reward mechanisms in a decentralized social platform, providing insights into their effects on participation, wealth distribution, and social interactions.
Findings
Tokenomics design influences participation rates and wealth concentration.
Inter-community tipping reduces echo chambers and increases cross-community interactions.
Rewards can boost content creation but may negatively impact content quality.
Abstract
This paper presents the first empirical analysis of how diverse token-based reward mechanisms impact platform dynamics and user behaviors. For this, we gather a unique, large-scale dataset from Farcaster. This blockchain-based, decentralized social network incorporates multiple incentive mechanisms spanning platform-native rewards, third-party token programs, and peer-to-peer tipping. Our dataset captures token transactions and social interactions from 574,829 wallet-linked users, representing 64.25% of the platform's user base. Our socioeconomic analyses reveal how different tokenomics design shape varying participation rates (7.6%--70%) and wealth concentration patterns (Gini 0.72--0.94), whereas inter-community tipping is 1.3--2x more frequent among non-following pairs, thereby mitigating echo chambers. Our causal analyses further uncover several critical trade-offs: (1) while most…
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Taxonomy
TopicsFinTech, Crowdfunding, Digital Finance · Mobile Crowdsensing and Crowdsourcing · Impact of Technology on Adolescents
