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Evidence record 4318 · automatically gathered

Static and Dynamic Strategies for Influencing Opinions in Social Networks

The ability of a small set of coordinated actors to manipulate opinions in online social networks poses a serious challenge to the fairness and integrity of public debate. We investigate this problem by studying how targeted stubborn agents can shift the average opinion of a network governed by the Hegselmann-Krause bounded-confidence dynamics. Experiments are conducted on weighted LFR benchmark networks with community structure, using multiple node-selection strategies based on degree, strength

Record details

Published: 14 May 2026
Source: arXiv
Category: Research
Topics: Bias & fairness · Agents & autonomy · Finance, VC & PE
Retrieved: 14 July 2026

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How to cite this record

ethics.ai (14 May 2026), “Static and Dynamic Strategies for Influencing Opinions in Social Networks,” evidence record 4318, https://ethics.ai/record/4318 (originally published by arXiv).

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