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Evidence record 1979 · automatically gathered

Balancing fairness and influence spread in social networks: a multi-objective evolutionary approach

Influence maximization in social networks has received increasing attention, particularly in applications where fairness among demographic groups is an important concern. However, many existing approaches either overlook group-level disparities or primarily optimize influence spread without explicitly modeling fairness-related trade-offs. In this paper, we propose a group-aware multi-objective evolutionary framework that decomposes seed sets into group-specific sub-solutions. Each demographic gr

Record details

Published: 11 July 2026
Source: Artificial Intelligence Review
Category: Research
Topics: Bias & fairness
Retrieved: 14 July 2026

source-onlyevidence status

These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.

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How to cite this record

ethics.ai (11 July 2026), “Balancing fairness and influence spread in social networks: a multi-objective evolutionary approach,” evidence record 1979, https://ethics.ai/record/1979 (originally published by Artificial Intelligence Review).

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