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New objective function for echo chamber detection proposed

Researchers have introduced a new objective function for identifying echo chambers within social networks, distinguishing it from related problems like community detection. This novel approach, grounded in Fourier transforms of set functions, offers a scalable semidefinite relaxation method. Experimental results indicate that the proposed algorithm outperforms existing methods in accurately identifying echo chambers on both synthetic and real-world datasets, demonstrating improved network properties and greater agreement with suspended users. AI

IMPACT Introduces a novel objective function and algorithm for echo chamber detection, potentially improving social network analysis and understanding of online discourse.

RANK_REASON The item is an academic paper detailing a new method for echo chamber detection. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

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New objective function for echo chamber detection proposed

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The item is an academic paper detailing a new method for echo chamber detection. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Abylaikhan Bexeit, Kushani Perera, Shanika Karunasekera, Jean Honorio ·

    Revisiting the Objective of Echo Chamber Detection

    arXiv:2609.18545v1 Announce Type: new Abstract: In this paper, we study the detection of an echo chamber in a social network, i.e., the identification of a set of nodes that agree on a topic, while disagreeing with the rest of nodes. We argue that this problem is different from o…