Aligning Social Media Indicators with the Documents in an Open Access Repository

Authors

  • Luis Meneses Electronic Textual Cultures Lab, University of Victoria
  • Alyssa Arbuckle Electronic Textual Cultures Lab, University of Victoria
  • Hector Lopez Electronic Textual Cultures Lab, University of Victoria
  • Belaid Moa University of Victoria
  • Richard Furuta Center for the Study of Digital Libraries, Texas A&M University
  • Ray Siemens Electronic Textual Cultures Lab, University of Victoria

DOI:

https://doi.org/10.5334/kula.44

Keywords:

social media, open access repositories, digital collections, user engagement

Abstract

In this paper we describe our current efforts towards building a framework that extends the functionality of an Open Access Repository by implementing processes to incorporate the ongoing trends in social media into the context of a digital collection. We refer to these processes collectively as the Social Media Engine. The purpose of our framework is twofold: first, we propose to challenge some of the preconceived notions of digital libraries by making repositories more dynamic; and second, by challenging this notion we want to promote public engagement and open scholarship. As a work in progress, we believe that a real challenge lies in investigating the implications that these two points introduce within the context of the humanities.

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References

Altmetric LLP. 2017. “Altmetric.” Accessed October 20, 2017. https://www.altmetric.com/.

Apache Software Foundation. 2011. “Welcome to Apache Lucene.” Accessed March 29, 2011. http://lucene.apache.org.

Apache Software Foundation. 2017a. “Apache Spark: Lightning-Fast Cluster Computing.” Accessed April 11, 2017. http://spark.apache.org.

Apache Software Foundation. 2017b. “Apache Solr.” Accessed October 20, 2017. http://lucene.apache.org/solr/.

Apache Software Foundation. 2017c. “The Apache Velocity Project.” Accessed October 20, 2017. http://velocity.apache.org/.

Blei, David M., Andrew Y. Ng, and Michael I. Jordan. 2003. “Latent Dirichlet Allocation.” The Journal of Machine Learning Research, 3: 993–1022. http://www.jmlr.org/papers/v3/.

Bogen, Paul L., Daniel Pogue, Faryaneh Poursardar, Yuangling Li, Richard Furuta, and Frank Shipman. 2011. “WPv4: A Re-Imagined Walden’s Paths to Support Diverse User Communities.” In: Proceedings of the 11th Annual International ACM/IEEE Joint Conference on Digital Libraries, 419–20. DOI: https://doi.org/10.1145/1998076.1998164

Bush, Vannevar. 1945. “As We May Think.” The Atlantic Monthly, July 1945.

Chaput, Matt. 2017. “Whoosh: Fast Pure-Python Full Text Indexing, Search and Spell Checking Library.” Accessed April 11, 2017. https://pypi.python.org/pypi/Whoosh/.

Danilak, Michal. 2017. “Langdetect 1.0.7.” Accessed April 11, 2017. https://pypi.python.org/pypi/langdetect.

Earp, Will. 2017. Pyaltmetric: Python Altmetric API v1 Wrapper (version 0.2.0). OS Independent. Python.

Érudit Consortium. 2017. “Erudit.Org.” Accessed April 11, 2017.

Liu, Alan. 2016. “Drafts for Against the Cultural Singularity (Book in Progress).” Alan Liu, May 2. http://liu.english.ucsb.edu/drafts-for-against-the-cultural-singularity/.

Owen, Brian, and Kevin Stranack. 2012. “The Public Knowledge Project and Open Journal Systems: Open Source Options for Small Publishers.” Learned Publishing, 25(2): 138–44. DOI: https://doi.org/10.1087/20120208

Řehůřek, Radim. 2017. “Gensim: Topic Modelling for Humans.” Accessed April 12, 2017. https://radimrehurek.com/gensim/.

Richardson, Leonard. 2015. “Beautiful Soup: We Called Him Tortoise Because He Taught Us.” Accessed May 3, 2015. https://www.crummy.com/software/BeautifulSoup/.

van Rossum, Guido. 1995. “Python Tutorial, Technical Report CS-R9526.” Amsterdam: Centrum voor Wikunde en Informatica (CWI). https://ir.cwi.nl/pub/5007/05007D.pdf.

Sugimoto, Cassidy R., Sam Work, Vincent Larivière, and Stefanie Haustein. 2016. “Scholarly Use of Social Media and Altmetrics: A Review of the Literature.” ArXiv:1608.08112 [Cs]. http://arxiv.org/abs/1608.08112.

US Census Bureau. 2017. “Frequently Occurring Surnames from Census 1990 – Names Files.” Accessed April 12, 2017. https://www.census.gov/topics/population/genealogy/data/1990_census/1990_census_namefiles.html.

Westgrid. 2017. “WestGrid: Compute Canada Regional Partner.” Accessed April 11, 2017. https://www.westgrid.ca.

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Published

2019-02-27

How to Cite

Meneses, Luis, Alyssa Arbuckle, Hector Lopez, Belaid Moa, Richard Furuta, and Ray Siemens. 2019. “Aligning Social Media Indicators With the Documents in an Open Access Repository”. KULA: Knowledge Creation, Dissemination, and Preservation Studies 3 (1):19. https://doi.org/10.5334/kula.44.

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