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Massimo Franceschetti

5 papers hereh-index 13 citations2 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.GT4
  • cs.SI1
same name
  • Massimo Franceschetti — 2 papers, h 1
  • Massimo Franceschetti — 1 paper, h 1
  • Massimo Franceschetti — 1 paper, h 2
  • Massimo Franceschetti — 1 paper, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

5 papers

cs.GT2026

Strategic Classification Has a Missing Lever: Audit Risk

Raman Ebrahimi, Massimo Franceschetti

Strategic classification studies how a decision maker should choose a classifier when the agents being classified can adjust their features in response to it. In existing models, t…

cs.GT2026

Visibility Design and Strategic Reasoning

Raman Ebrahimi, Sepehr Ilami, Babak Heydari +2

Dashboards, feeds, and leaderboards determine whom agents believe they are playing against. We study how such information architectures shape strategic behavior, and how a designer…

cs.GT2026

Strategic Opinion Manipulation in Multiplex Networks

Raman Ebrahimi, Massimo Franceschetti

Models of opinion dynamics on networks, provide a framework to study how a network of agents aggregates dispersed opinions into a consensus. However, existing models assume that ag…

cs.GT2026

The Architecture of Illusion: Network Opacity and Strategic Escalation

Raman Ebrahimi, Sepehr Ilami, Babak Heydari +2

Standard models of bounded rationality typically assume agents either possess accurate knowledge of the population's reasoning abilities (Cognitive Hierarchy) or hold dogmatic, deg…

cs.SI2025

Textual understanding boost in the WikiRace

Raman Ebrahimi, Sean Fuhrman, Kendrick Nguyen +2

The WikiRace game, where players navigate between Wikipedia articles using only hyperlinks, serves as a compelling benchmark for goal-directed search in complex information network…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.