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Sentiment dynamics and shifts across instances on Mastodon

Year: 2025

Type: conference-paper

Abstract: This study investigates how sentiment shifts unfold on Mastodon, a decentralized social network, during the 2023 Gaza conflict. We examine how the federated structure shapes the spread and transformation of sentiment in crisis-related discourse. We find that posts with broader reach tend to show more volatile sentiment, major conflict events coincide with sharp sentiment changes, and reply interactions often diverge in sentiment from the original post. These findings highlight how decentralized infrastructures mediate sentiment dynamics in online communications.

Source: Research portal (Tilburg University)

DOI: 10.36190/2025.45

Authors: Kim, Seeun, Zeng, Li; id_orcid 0009-0005-3338-0833, Ma, Sijia; id_orcid 0000-0002-9613-6628, Sturlese, Giulia

Language: English

Topic: Sentiment Analysis and Opinion Mining

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7133153792

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