Add built link to readme. Final changes to graph viz
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# AI models for identifying trigger events in disinformation analysis
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Final Dissertation Submission Repository - Future work with created dataset
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## Project Description
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-- todo --
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## Solution Diagram
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-- todo --
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## Generated Database Link
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-- todo --
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## Graph Viz
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A way to visualise the connections between claims and trigger events
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Visible here: [https://jillweynes.github.io/LLMsForDisinformationPrediction-GraphVizBuilt/](https://jillweynes.github.io/LLMsForDisinformationPrediction-GraphVizBuilt/)
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## Repository Structure
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```
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├── run.sh # Bash script to run project elements from one place
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├── graphviz
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| ├── frontend # React + Parcel + react-force-graph frontend to visualise results
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| └── processing # Python scripts to generate clusters and titles
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└── data/ # Holder from project data
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├── dataset.jsonl # Collated dataset - in full format
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└── dataset.csv # Collated dataset - in CSV format
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@@ -160,7 +160,7 @@ export function App() {
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nodeAutoColorBy="type"
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linkColor={() => "black"}
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linkWidth={2.5}
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onNodeRightClick={(node) => setSelectedNode(node)}
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onNodeClick={(node) => setSelectedNode(node)}
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nodeCanvasObject={(node, ctx, globalScale) => {
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const label = node.label;
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@@ -231,7 +231,7 @@ export function App() {
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<input
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type="range"
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min="9"
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max="49"
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max="20"
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value={minGraphSize}
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onChange={(e) => setMinGraphSize(Number(e.target.value))}
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/>
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@@ -261,7 +261,7 @@ export function App() {
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)}
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</div>
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) : (
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<p>Right-click a cluster node to see its members</p>
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<p>Click a node to see details</p>
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)}
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</div>
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</div>
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