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Echo chambers in online social networks: A systematic literature review
Echo chambers, a recent phenomenon in the realm of social networks, have garnered
significant attention from researchers due to their profound implications. Their role in …
significant attention from researchers due to their profound implications. Their role in …
Rebalancing social feed to minimize polarization and disagreement
Social media have great potential for enabling public discourse on important societal issues.
However, adverse effects, such as polarization and echo chambers, greatly impact the …
However, adverse effects, such as polarization and echo chambers, greatly impact the …
Retrieval-augmented generation with graphs (graphrag)
Retrieval-augmented generation (RAG) is a powerful technique that enhances downstream
task execution by retrieving additional information, such as knowledge, skills, and tools from …
task execution by retrieving additional information, such as knowledge, skills, and tools from …
Discovering polarization niches via dense subgraphs with attractors and repulsers
Detecting niches of polarization in social media is a first step towards deploying mitigation
strategies and avoiding radicalization. In this paper, we model polarization niches as close …
strategies and avoiding radicalization. In this paper, we model polarization niches as close …
Reducing exposure to harmful content via graph rewiring
Most media content consumed today is provided by digital platforms that aggregate input
from diverse sources, where access to information is mediated by recommendation …
from diverse sources, where access to information is mediated by recommendation …
Causal Modeling of Climate Activism on Reddit
Climate activism is crucial in stimulating collective societal and behavioral change towards
sustainable practices through political pressure. Although multiple factors contribute to the …
sustainable practices through political pressure. Although multiple factors contribute to the …
Minimizing hitting time between disparate groups with shortcut edges
Structural bias or segregation of networks refers to situations where two or more disparate
groups are present in the network, so that the groups are highly connected internally, but …
groups are present in the network, so that the groups are highly connected internally, but …
Polarization of autonomous generative AI agents under echo chambers
Online social networks often create echo chambers where people only hear opinions
reinforcing their beliefs. An echo chamber often generates polarization, leading to conflicts …
reinforcing their beliefs. An echo chamber often generates polarization, leading to conflicts …
Engagement-Driven Content Generation with Large Language Models
Large Language Models (LLMs) exhibit significant persuasion capabilities in one-on-one
interactions, but their influence within social networks remains underexplored. This study …
interactions, but their influence within social networks remains underexplored. This study …
Minimizing Polarization and Disagreement in the Friedkin-Johnsen Model with Unknown Innate Opinions
The bulk of the literature on opinion optimization in social networks adopts the Friedkin-
Johnsen (FJ) opinion dynamics model, in which the innate opinions of all nodes are known …
Johnsen (FJ) opinion dynamics model, in which the innate opinions of all nodes are known …