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The Effect of Iterativity on Adversarial Opinion Forming

arXiv 2111.15445 ↗First posted 30 Nov 2021cs.AI math.PRcited by 0

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Abstract (arXiv)

Consider the following model to study adversarial effects on opinion forming. A set of initially selected experts form their binary opinion while being influenced by an adversary, who may convince some of them of the falsehood. All other participants in the network then take the opinion of the majority of their neighbouring experts. Can the adversary influence the experts in such a way that the majority of the network believes the falsehood? Alon et al. [1] conjectured that in this context an iterative dissemination process will always be beneficial to the adversary. This work provides a counterexample to that conjecture. [1] N. Alon, M. Feldman, O. Lev, and M. Tennenholtz. How Robust Is the Wisdom of the Crowds? In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI 2015), pages 2055-2061, 2015.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 24 references that are in the map. First posted on arXiv 30 Nov 2021.

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References · 3

  1. 2014Reaching Consensus via non-Bayesian Asynchronous Learning in Social Networkscited by 1
  2. 2016A network-based rating system and its resistance to briberycited by 1
  3. 2017Group Recommendations: Axioms, Impossibilities, and Random Walkscited by 1

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