SearcharxivSearch

arXiv subjects

Nicole Tabasso

Publications and source records attributed to Nicole Tabasso.

3 recordsLinked to original sources

Endogenous Identity in a Social Network

Interaction with individuals from other socioeconomic classes has been shown to be a main driver for social mobility. We employ tools of social identity theory and network analysis to show how exposure to individuals of different social identities can lead to interactions with them, and an adoption of their identity, creating social mobility. We find that even if all individuals have the same ability, they may endogenously choose different identities, leading to different classes and actions. In particular, we derive a sufficient condition for such an equilibrium to exist, which equates to a novel measure of cohesion. Furthermore, we show that the most socially mobile individuals (changing their identity) are those who either have few connections or a more heterogeneous mix of identities in their connections. Finally, we show that upward social mobility increases action levels in society, but not necessarily welfare.

econ.TH

Optimal Verification of (Mis)Information in Networks

We study the diffusion of a true and a false message (misinformation) when agents are biased and able to verify messages. As a recipient of a false message who verifies it becomes informed of the truth, a higher prevalence of misinformation can increase the prevalence of the truth. We uncover conditions such that this happens and discuss policy implications. Specifically, a planner aiming to maximize the prevalence of the truth should allow misinformation to circulate if: non-verified messages may be ignored, transmission of information is relatively low, and the planner's budget to induce verification is neither too low nor too high. Homophily increases the spread of misinformation, but also facilitates diffusion of truth, and leads to similar results on the effect of verification.

econ.TH

Debunking Rumors in Networks

We study the diffusion of a true and a false message (the rumor) in a social network. Upon hearing a message, individuals may believe it, disbelieve it, or debunk it through costly verification. Whenever the truth survives in steady state, so does the rumor. Communication intensity in itself is irrelevant for relative rumor prevalence, and the effect of homophily depends on the exact verification process and equilibrium verification rates. Our model highlights that successful policies in the fight against rumors increase individuals' incentives to verify.

econ.TH