Abstract
Automatically collecting citations on social media about a literary work can provide interesting feedback about its current impact and relevance. The Book of Disquiet by Fernando Pessoa is made of a set of fragments put together by its editors. The LdoD Archive is a collaborative digital archive for Fernando Pessoa’s Book of Disquiet (LdoD) that supports the creation of virtual editions by the archive users, simulating the process followed by four editors of the book, who made different decisions on the number and order of fragments to include in their edition.
In this paper we describe the design and implementation of a solution to collect citations from the Book of Disquiet by Fernando Pessoa on Twitter. We explore the affordances of the LdoD Archive, such that it becomes sensitive to its citations on Twitter. Therefore, we propose a new model that uses an algorithm for the automatic collection of citations, allowing the automatic generation of virtual editions of the book, which reflect its impact according to Twitter posts.
This Social Media Aware LdoD Archive supports a new set of features, such as: the collection of citations from Twitter, their transformation into annotations of the fragments belonging to a virtual edition, the visualization of the meta information associated with a citation in the context of the cited fragment, and the customization of the Social Aware virtual editions.
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References
Barata, C.: Impacto de obras literárias nas redes sociais - the impact of literary works in social networks. Master’s thesis, Faculty of Sciences, University of Lisbon, Portugal (2014)
Boyer, R.S., Moore, J.S.: A fast string searching algorithm. Commun. ACM 20(10), 762–772 (1977)
Eysenbach, G.: Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. J. Med. Internet Res. 13(4), e123 (2011)
Liu, B.: Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-19460-3
Portela, M., Silva, A.R.: A model for a virtual LdoD. Digit. Sch. Hum. 30(3), 354–370 (2014)
Silva, A.R., Portela, M.: TEI4LdoD: textual encoding and social editing in web 2.0 environment. J. Text Encoding Initiat. 8 (2014)
Thelwall, M., Tsou, A., Weingart, S., Holmberg, K., Haustein, S.: Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact. J. Med. Internet Res. 13(4), e123 (2011)
Weller, K., Puschmann, C.: Twitter for scientific communication: how can citations/references be identified and measured? In: 2011 ACM WebSci Conference, WebSci 2011, pp. 1–4, June 2011
Winkler, W.E.: The state of record linkage and current research problems. Technical report, Statistical Research Division, U.S. Bureau of the Census (1999)
Acknowledgement
This work was supported by national funds through Fundação para a Ciência e a Tecnologia (FCT) with reference UID/CEC/50021/2019.
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Oliveira, D., Silva, A.R., Portela, M. (2019). Social Media Aware Virtual Editions for the Book of Disquiet. In: Jatowt, A., Maeda, A., Syn, S. (eds) Digital Libraries at the Crossroads of Digital Information for the Future. ICADL 2019. Lecture Notes in Computer Science(), vol 11853. Springer, Cham. https://doi.org/10.1007/978-3-030-34058-2_25
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DOI: https://doi.org/10.1007/978-3-030-34058-2_25
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