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https://github.com/bellingcat/gesara-entity-viz.git
synced 2026-06-13 05:58:33 +03:00
added Python scripts, did a lot of data cleaning, changed node size to be proportional to number of channels
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@@ -17,10 +17,13 @@ const DescriptionPanel: FC = () => {
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This visualisation represents a <i>network</i> of{" "}
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<a target="_blank" rel="noreferrer" href="https://spacy.io/usage/linguistic-features#named-entities">
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named entities
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</a> in English-language posts archived in a database of Telegram channels that have posted about GESARA. Each{" "}
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</a> in English-language posts archived in a database of Telegram channels that have posted about the GESARA conspiracy theory. Each{" "}
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<i>node</i> represents an entity, <i>edges</i> between nodes indicate that one or more posts contain both entities
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.
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</p>
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<p>
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This kind of visualization shows the ecosystem of the people, organizations, and ideas these conspiracy Telegram channels talk about, as well as the connections between them.
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</p>
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<p>
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Some social media channels were identified by researchers from{" "}
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<a target="_blank" rel="noreferrer" href="https://www.bellingcat.com/">
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@@ -50,21 +53,20 @@ const DescriptionPanel: FC = () => {
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sigma.js
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</a>
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. You can read the source code{" "}
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<a target="_blank" rel="noreferrer" href="https://github.com/jacomyal/sigma.js/tree/main/demo">
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<a target="_blank" rel="noreferrer" href="https://github.com/bellingcat/gesara-entity-viz">
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on GitHub
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</a>
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.
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</p>
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<p>
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Node sizes are related to the number of times the entity was mentioned in the database.
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</p>
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<p>
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The network was visualized using{" "}
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<a target="_blank" rel="noreferrer" href="https://gephi.org/">
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Gephi
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</a>. Node sizes are related to the number of channels the entity was posted about in the database.
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Nodes are colored based a{" "}
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<a target="_blank" rel="noreferrer" href="https://arxiv.org/abs/0803.0476">
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community detection algorithm
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</a>.
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</p>
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<p>
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For visualisation purposes, edges were pruned using the{" "}
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<a target="_blank" rel="noreferrer" href="https://github.com/naviddianati/GraphPruning">
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Marginal Likelihood Filter
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