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<h1 class="text-4xl">Country Mention Networks in UN Speeches</h1>
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<h1 class="text-4xl">Country Mention Networks in UN Speeches</h1>
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<div>Computational Social Science 02467 - Group 10</div>
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<div>Computational Social Science 02467 - Group 10</div>
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</div>
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</div>
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<div class="max-w-6xl mx-auto p-6 text-base-content font-sans">
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<!-- Section 1: Overview -->
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<section class="mb-8">
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<p class="text-base leading-relaxed mb-4">
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The analysis is based on the United Nations General Debate Corpus
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(UNGDC), which contains speeches delivered by countries at the United
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Nations over multiple decades. Each observation consists of a speech, a
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country, and a year, making it possible to connect political language
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with both countries and time.
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</p>
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<p
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class="text-sm font-semibold tracking-wide text-base-content/70 mb-2 uppercase"
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>
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This makes the dataset especially useful for studying:
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</p>
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<ul class="list-disc pl-6 space-y-1 text-base text-base-content/80">
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<li>international attention patterns</li>
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<li>political communication</li>
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<li>diplomatic relationships</li>
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<li>sentiment in international discourse</li>
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</ul>
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</section>
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<!-- Section 2: How the Network Works -->
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<section class="mb-8">
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<h2
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class="text-2xl font-bold border-b border-base-200 pb-2 mb-4 text-base-content"
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>
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How the Network Works
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</h2>
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<p class="text-base leading-relaxed mb-4">
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In this project, countries are treated as nodes, while mentions from one
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country to another form directed edges. A directed edge means that one
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country refers to another in a speech. The direction matters, because
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diplomatic attention is not necessarily symmetric: a country may talk
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about another country much more than it is talked about in return.
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</p>
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<p class="text-base leading-relaxed mb-4">
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Edge color reflects whether the mention is framed in a more positive or
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negative way. This allows the network to capture both the volume and the
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tone of diplomatic attention.
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</p>
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<div
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class="mockup-code bg-base-200 text-base-content pre-wrap rounded-xl px-4 py-4 before:content-none"
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>
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<ul class="space-y-2 text-base">
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<li><span class=" font-bold">Node:</span> a country</li>
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<li>
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<span class=" font-bold">Directed edge:</span> one country mentions another
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</li>
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<li>
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<span class=" font-bold">Edge weight:</span> how often the mention occurs
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</li>
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<li>
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<span class="font-bold">Edge color:</span> whether the mention is more
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positive or more negative
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</li>
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</ul>
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</div>
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</section>
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</div>
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<div
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<div
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class="collapse collapse-arrow bg-base-200 border border-base-300 rounded-box w-full"
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class="collapse collapse-arrow bg-base-200 border border-base-300 rounded-box w-full"
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>
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>
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@ -105,6 +169,28 @@
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<!-- Accordion Body Content -->
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<!-- Accordion Body Content -->
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<div class="collapse-content">
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<div class="collapse-content">
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<div class="w-full flex justify-center">
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<!-- Section 3: Full Network Overview -->
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<section class="max-w-6xl">
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<h2
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class="text-2xl font-bold border-b border-base-200 pb-2 mb-4 text-base-content"
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>
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Full Network Overview
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</h2>
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<p class="text-base leading-relaxed">
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The graph below shows the full diplomatic mention network built from
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the UN speeches. Each node represents a country, and each directed
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edge represents one country mentioning another. Edge color reflects
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whether the mention is framed in a more positive or more negative
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way. Users can adjust the positive and negative sliders to filter
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the graph by sentiment strength. Because the full graph contains a
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very large number of connections, it provides a useful overview of
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how dense and interconnected international political discourse is,
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but it is too crowded for detailed country level interpretation.
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</p>
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</section>
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</div>
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<div class="flex flex-col items-center justify-center w-full prose pt-4">
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<div class="flex flex-col items-center justify-center w-full prose pt-4">
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<div class="flex gap-30 justify-between">
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<div class="flex gap-30 justify-between">
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<div>Negative range</div>
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<div>Negative range</div>
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