Algorithmic Exposure as a Funding Equalizer: A field experiment on social media visibility and VC outcomes

Wang, Wu, and Hitt (2023) show that Twitter use can mitigate VC funding disparities for women and less-connected founders, especially for first-time entrepreneurs and in competitive markets. But that evidence is observational. This project proposes two causal designs: (a) exploit exogenous platform shocks (e.g., algorithm changes, API access restrictions, mass outages) as instruments for visibility; and (b) run a field experiment with accelerators that randomizes paid promotion bundles (ads, influencer retweets, content amplification) across founder cohorts. Outcomes would include investor outreach, meeting conversion, new vs. repeat investor mix, and term sheet quality. We would also test interaction with investor sentiment—drawing on ICO evidence that investor awareness and sentiment materially affect funding volumes (Cai & Gomaa, 2019)—to see whether sentiment amplifies or substitutes for visibility. Extensions to emerging markets would incorporate alternative digital footprints where Twitter penetration is lower (per Nwangele et al., 2024), using mobile and geospatial data to proxy traction. The novelty is the causal identification of a widely asserted mechanism (social media as an equalizer), its boundary conditions (e.g., market competitiveness), and its heterogeneous effects by founder experience. If successful, this can inform platform design, accelerator programming, and public initiatives aimed at reducing financing inequality.

References:

1. Social Media Alleviates Venture Capital Funding Inequality for Women and Less Connected Entrepreneurs. Xiaoning Wang, Lynn Wu, L. Hitt (2023). Management Sciences.
2. Initial Coin Offering to Finance Venture Capital: A Behavioral Perspective. Jinghan Cai, Ahmed Gomaa (2019). Journal of Private Equity.
3. A conceptual framework for venture capital decision-making in Africa: Leveraging AI and Big Data for investment. Chigozie Regina Nwangele, Tolulope Joyce Oladuji, Ayodeji Ajuwon, Omoniyi Onifade, Chigozie Regina, Nwangele (2024). Finance & Accounting Research Journal.