Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313532708> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W4313532708 endingPage "61" @default.
- W4313532708 startingPage "50" @default.
- W4313532708 abstract "Existing methods for detecting partisanship and polarization on social media focus on either linguistic or network aspects of online communication, and tend to study a single platform. We explore the possibility of using knowledge graph embeddings to detect and analyze partisanship in online discourse. Knowledge graphs can potentially combine linguistic and network information across multiple platforms to enable more accurate discovery of a political dimension in online space. We train embeddings on heterogeneous graphs with different combinations of information text, network, single- and multi-platform information. Building on previous work, we develop a semi-supervised approach for uncovering a political dimension in the embedding space from a handful of labelled observations, and show that this method enables more accurate differentiation between liberal and conservative Twitter accounts. These results indicate that knowledge graphs can potentially be useful tools for analyzing online discourse." @default.
- W4313532708 created "2023-01-06" @default.
- W4313532708 creator A5005435130 @default.
- W4313532708 creator A5017761801 @default.
- W4313532708 date "2023-01-01" @default.
- W4313532708 modified "2023-10-18" @default.
- W4313532708 title "Using Knowledge Graphs to Detect Partisanship in Online Political Discourse" @default.
- W4313532708 cites W1529533208 @default.
- W4313532708 cites W2148606255 @default.
- W4313532708 cites W2161834943 @default.
- W4313532708 cites W2163179583 @default.
- W4313532708 cites W2774243642 @default.
- W4313532708 cites W2888616554 @default.
- W4313532708 cites W2963834345 @default.
- W4313532708 cites W2981368940 @default.
- W4313532708 cites W3002330681 @default.
- W4313532708 cites W3022516804 @default.
- W4313532708 cites W3036082643 @default.
- W4313532708 cites W3101739755 @default.
- W4313532708 cites W3202403710 @default.
- W4313532708 cites W3216042640 @default.
- W4313532708 cites W4223454151 @default.
- W4313532708 cites W4283452826 @default.
- W4313532708 doi "https://doi.org/10.1007/978-3-031-21127-0_5" @default.
- W4313532708 hasPublicationYear "2023" @default.
- W4313532708 type Work @default.
- W4313532708 citedByCount "0" @default.
- W4313532708 crossrefType "book-chapter" @default.
- W4313532708 hasAuthorship W4313532708A5005435130 @default.
- W4313532708 hasAuthorship W4313532708A5017761801 @default.
- W4313532708 hasConcept C111919701 @default.
- W4313532708 hasConcept C120665830 @default.
- W4313532708 hasConcept C121332964 @default.
- W4313532708 hasConcept C132525143 @default.
- W4313532708 hasConcept C154945302 @default.
- W4313532708 hasConcept C17744445 @default.
- W4313532708 hasConcept C192209626 @default.
- W4313532708 hasConcept C199539241 @default.
- W4313532708 hasConcept C202444582 @default.
- W4313532708 hasConcept C2522767166 @default.
- W4313532708 hasConcept C2778572836 @default.
- W4313532708 hasConcept C2987255567 @default.
- W4313532708 hasConcept C33676613 @default.
- W4313532708 hasConcept C33923547 @default.
- W4313532708 hasConcept C41008148 @default.
- W4313532708 hasConcept C41608201 @default.
- W4313532708 hasConcept C80444323 @default.
- W4313532708 hasConcept C94625758 @default.
- W4313532708 hasConceptScore W4313532708C111919701 @default.
- W4313532708 hasConceptScore W4313532708C120665830 @default.
- W4313532708 hasConceptScore W4313532708C121332964 @default.
- W4313532708 hasConceptScore W4313532708C132525143 @default.
- W4313532708 hasConceptScore W4313532708C154945302 @default.
- W4313532708 hasConceptScore W4313532708C17744445 @default.
- W4313532708 hasConceptScore W4313532708C192209626 @default.
- W4313532708 hasConceptScore W4313532708C199539241 @default.
- W4313532708 hasConceptScore W4313532708C202444582 @default.
- W4313532708 hasConceptScore W4313532708C2522767166 @default.
- W4313532708 hasConceptScore W4313532708C2778572836 @default.
- W4313532708 hasConceptScore W4313532708C2987255567 @default.
- W4313532708 hasConceptScore W4313532708C33676613 @default.
- W4313532708 hasConceptScore W4313532708C33923547 @default.
- W4313532708 hasConceptScore W4313532708C41008148 @default.
- W4313532708 hasConceptScore W4313532708C41608201 @default.
- W4313532708 hasConceptScore W4313532708C80444323 @default.
- W4313532708 hasConceptScore W4313532708C94625758 @default.
- W4313532708 hasLocation W43135327081 @default.
- W4313532708 hasOpenAccess W4313532708 @default.
- W4313532708 hasPrimaryLocation W43135327081 @default.
- W4313532708 hasRelatedWork W2243512948 @default.
- W4313532708 hasRelatedWork W2883748392 @default.
- W4313532708 hasRelatedWork W2923818335 @default.
- W4313532708 hasRelatedWork W4205349486 @default.
- W4313532708 hasRelatedWork W4206547516 @default.
- W4313532708 hasRelatedWork W4226361842 @default.
- W4313532708 hasRelatedWork W4310879833 @default.
- W4313532708 hasRelatedWork W4312533474 @default.
- W4313532708 hasRelatedWork W4385279070 @default.
- W4313532708 hasRelatedWork W3129794543 @default.
- W4313532708 isParatext "false" @default.
- W4313532708 isRetracted "false" @default.
- W4313532708 workType "book-chapter" @default.