2018
DOI: 10.1002/asi.23990
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A twitter case study for assessing digital sound

Abstract: Academic and cultural heritage institutions around the world have made measurable strides in the development of digital sound archives oriented towards research and access, but their impact on scholarship and society has been little studied. Traditionally, impact has been measured by citations; yet these are problematic metrics for nontraditional outputs like sound recordings. Social media data provide a promising avenue of investigation for measuring scholarly as well as societal impact. Twitter in particular… Show more

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Cited by 2 publications
(2 citation statements)
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“…Many researchers have utilized Latent Dirichlet Allocation (LDA) to identify topics from social media data (Alkhodair 5 https://www.bls.gov/ooh/home.htm. Asghari, Sierra-Sosa, & Elmaghraby, 2020;Giannetti, 2018). LDA is a three-level hierarchical Bayesian model (Blei, Ng, & Jordan, 2003), it is an unsupervised machine learning technique used to create a representation of documents by topic, where each topic consisted of a set of words.…”
Section: Methodsmentioning
confidence: 99%
“…Many researchers have utilized Latent Dirichlet Allocation (LDA) to identify topics from social media data (Alkhodair 5 https://www.bls.gov/ooh/home.htm. Asghari, Sierra-Sosa, & Elmaghraby, 2020;Giannetti, 2018). LDA is a three-level hierarchical Bayesian model (Blei, Ng, & Jordan, 2003), it is an unsupervised machine learning technique used to create a representation of documents by topic, where each topic consisted of a set of words.…”
Section: Methodsmentioning
confidence: 99%
“…De acordo comLittman et al (2018), os dados advindos das mídias sociais são utilizados ampla e ativamente pela comunidade científica e acadêmica, comunidade jurídica, jornalistas, agências governamentais, defensores do governo Segunda geração da Web projetada para facilitar as relações sociais, o compartilhamento da informação, a interoperabilidade e a comunicação (TRIPATHI; KUMAR, 2010). aberto SegundoGiannetti (2018), pesquisadores demonstraram que as produções de humanidades têm uma alta densidade de menções à mídia social por trabalho, e que a pesquisa em humanidades geralmente obtém mais referências nas mídias sociais do que nos registros acadêmicos. A pesquisa em mídias sociais, que muda o foco dos objetos para as interações, modela abordagens etnográficas para o estudo das comunidades online.…”
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