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| Autori principali: | , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2507.17626 |
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| _version_ | 1866916867828875264 |
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| author | Čuljak, Marko West, Robert Spitz, Andreas Arora, Akhil |
| author_facet | Čuljak, Marko West, Robert Spitz, Andreas Arora, Akhil |
| contents | We introduce Quotegraph, a novel large-scale social network derived from speaker-attributed quotations in English news articles published between 2008 and 2020. Quotegraph consists of 528 thousand unique nodes and 8.63 million directed edges, pointing from speakers to persons they mention. The nodes are linked to their corresponding items in Wikidata, thereby endowing the dataset with detailed biographic entity information, including nationality, gender, and political affiliation. Being derived from Quotebank, a massive corpus of quotations, relations in Quotegraph are additionally enriched with the information about the context in which they are featured. Each part of the network construction pipeline is language agnostic, enabling the construction of similar datasets based on non-English news corpora. We believe Quotegraph is a compelling resource for computational social scientists, complementary to online social networks, with the potential to yield novel insights into the behavior of public figures and how it is captured in the news. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_17626 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Quotegraph: A Social Network Extracted from Millions of News Quotations Čuljak, Marko West, Robert Spitz, Andreas Arora, Akhil Social and Information Networks We introduce Quotegraph, a novel large-scale social network derived from speaker-attributed quotations in English news articles published between 2008 and 2020. Quotegraph consists of 528 thousand unique nodes and 8.63 million directed edges, pointing from speakers to persons they mention. The nodes are linked to their corresponding items in Wikidata, thereby endowing the dataset with detailed biographic entity information, including nationality, gender, and political affiliation. Being derived from Quotebank, a massive corpus of quotations, relations in Quotegraph are additionally enriched with the information about the context in which they are featured. Each part of the network construction pipeline is language agnostic, enabling the construction of similar datasets based on non-English news corpora. We believe Quotegraph is a compelling resource for computational social scientists, complementary to online social networks, with the potential to yield novel insights into the behavior of public figures and how it is captured in the news. |
| title | Quotegraph: A Social Network Extracted from Millions of News Quotations |
| topic | Social and Information Networks |
| url | https://arxiv.org/abs/2507.17626 |