Computational Understanding of Narratives: A Survey

dc.contributor.authorRanade, Priyanka
dc.contributor.authorDey, Sanorita
dc.contributor.authorJoshi, Anupam
dc.contributor.authorFinin, Tim
dc.date.accessioned2022-10-10T21:19:26Z
dc.date.available2022-10-10T21:19:26Z
dc.date.issued2022-09-08
dc.description.abstractStorytelling, and the delivery of societal narratives, enable human beings to communicate, connect, and understand one another and the world around them. Narratives can be defined as spoken, visual, or written accounts of interconnected events and actors, generally evolving through some notion of time. Today, information is typically conveyed over online communication mediums, such as social media and blogging websites. Consequently, the act of narrative delivery itself has shifted from simply imparting information through self-contained structures such as books, to more fragmented structures, such as social media websites, where evolving story events are constructed over multiple online sources. Ubiquitous online conversation can manifest into sophisticated narratives that have the potential to influence wide-spread user interpretations of cultural sentiments, attitudes, values, as well as geopolitical events and facts. As a result, narratives are actively being used as strategic tools for shaping local events, promoting collective opinions, and asserting ideologies and propaganda, making them sources of interest for identifying themes, intentions, and goals across multiple communities and potential adversaries. Identifying fragmented narratives, extracting thematic and temporal components that constitute evolving narratives, and locating signs of active rhetoric framing tactics, are difficult to detect and analyze without large-scale automation. This problem can be addressed through the use of natural language understanding technologies. Our goal is to document and discuss methods to efficiently construct, extract, and detect evolving online narratives. The novel contribution of this paper is the formal collation and documentation of such technologies and research areas, as well as extensive discussion on open research challenges and goals in the definition, identification, construction, generation, and representation of online narratives. To our knowledge, there is currently no existing formal documentation that organizes and provides extended discussion on narrative understanding research areas and open challenges.en_US
dc.description.sponsorshipThis work was supported in part by NSA and in part by the National Science Foundation under Grant 2114892.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/9882117en_US
dc.format.extent20 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2bwzv-dl81
dc.identifier.citationP. Ranade, S. Dey, A. Joshi and T. Finin, "Computational Understanding of Narratives: A Survey," in IEEE Access, vol. 10, pp. 101575-101594, 2022, doi: 10.1109/ACCESS.2022.3205314.en_US
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2022.3205314
dc.identifier.urihttp://hdl.handle.net/11603/26140
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofUMBC Chemistry & Biochemistry Department
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.en_US
dc.rightsAttribution 4.0 International (CC BY 4.0)*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectUMBC Ebiquity Research Group
dc.titleComputational Understanding of Narratives: A Surveyen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0003-3859-5356en_US
dcterms.creatorhttps://orcid.org/0000-0003-3346-5886en_US
dcterms.creatorhttps://orcid.org/0000-0002-8641-3193en_US
dcterms.creatorhttps://orcid.org/0000-0002-6593-1792en_US

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