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Your search keyword '"social media analysis and methods"' showing total 3 results
Start Over Descriptor "social media analysis and methods" Topic computer science
3 results on '"social media analysis and methods"'

1. Misrepresentations of online engagement: re-examining online audiences in the UK museum sector

Author

Charlesworth, Ellen, Beresford, Andrew M., Warwick, Claire, Impett, Leonardo, Scholger, Walter, Vogeler, Georg, Tasovac, Toma, Baillot, Anne, Raunig, Elisabeth, Scholger, Martina, Steiner, Elisabeth, Centre for Information Modelling, and Helling, Patrick

Subjects
Paper, and ethics analysis, social media, Statistics, digital access, Galleries and museum studies, privacy, Computer science, cultural analytics, Short Presentation, FOS: Mathematics, social media analysis and methods, digital humanities, museums, audience studies, artificial intelligence and machine learning, engagement, Communication studies
Abstract

During the pandemic, the idea that digital adoption would revolutionise audience engagement became widespread in the museum sector. This paper explores whether this is true, utilising tools and debates from the digital humanities to analyse the online content and audiences of a representative sample of 315 museums in the UK.

Published
2023
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2. Large Language Models and NER: better results with less work

Author

Thalken, Rosamond Elizabeth, Wilkens, Matthew, Mimno, David, Scholger, Walter, Vogeler, Georg, Tasovac, Toma, Baillot, Anne, Raunig, Elisabeth, Scholger, Martina, Steiner, Elisabeth, Centre for Information Modelling, and Helling, Patrick

Subjects
Paper, Library & information science, named entity recognition, Media studies, book reviews, Computer science, language models, text mining and analysis, text generation, social media analysis and methods, Poster, natural language processing, artificial intelligence and machine learning
Abstract

Our work considers how new advances in pretrained text-to-text generation models might make named entity recognition more accurate, flexible, and streamlined for the digital humanist. We provide an example of how text-to-text generative models can identify mentions of characters, authors, and book names within Goodreads book reviews.

Published
2023
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3. Enriching Exhibition Scholarship

Author

Llewellyn, Clare, Sanderson, Robert, Page, Kevin, Bhaugeerutty, Aruna, Shapland, Andrew, Shipp, Kayla, David, Kelly, Delmas-Glass, Emmanuelle, Bonnet, Tyler, Scholger, Walter, Vogeler, Georg, Tasovac, Toma, Baillot, Anne, Raunig, Elisabeth, Scholger, Martina, Steiner, Elisabeth, Centre for Information Modelling, and Helling, Patrick

Subjects
Paper, bibliographic analysis, Library & information science, Art Exhibitions, Cultural studies, Linked Open Usable Data, digital libraries creation, Art history, Computer science, cultural analytics, social media analysis and methods, Poster, and analysis, Social Media Analysis, management
Abstract

The Enriching Exhibition Scholarship project is developing and applying computational techniques to align socially-based textual and structured data, such as exhibition catalogues, newspapers and social media, making reconciliation easier and more effective. We use Linked Open Usable Data to describe and publish art-related knowledge.

Published
2023
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