The Passing of Print

Mussell, James

doi:10.1080/13688804.2011.637666

Cited by 26 publications

(4 citation statements)

References 11 publications

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“…There is also the assumption that by digitizing artifacts and ephemera, they won't be forgotten nearly as much. However, there is danger of the opposite happening, that by digitizing this material it would be forgotten once more (Mussell, 2012). That digitizing might only increase the information overload that already exists.…”

Section: Digitizationmentioning

confidence: 99%

Section: Digitizationmentioning

confidence: 99%

“…Essentially, the overload and persistence of digital objects within unused or neglected storage media are no different than forgotten pieces of ephemera, lying in boxes in the basement of a library (Mussell, 2012). In order for this to not happen, there needs to be a system or mechanism that prompts users to "choose to remember them" (Mussell, 2012). This means that objects must be well-coded with the appropriate documentation as well as an institution for which they can be appropriately and actively curated (Mussell, 2012).…”

Section: Digitizationmentioning

confidence: 99%

“…In order for this to not happen, there needs to be a system or mechanism that prompts users to "choose to remember them" (Mussell, 2012). This means that objects must be well-coded with the appropriate documentation as well as an institution for which they can be appropriately and actively curated (Mussell, 2012).…”

Section: Digitizationmentioning

confidence: 99%

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Tangible Cultural Analytics: The Adoption of Recommender Systems Within Cultural Research

Ashley¹

2021

Preprint

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The prospect of implementing recommender systems within the context of cultural research has not been explored nearly as much compared to implementation in e-commerce websites and applications. Recommender systems allow for users to be shown new objects either based upon object similarity or based upon what the algorithm thinks the user will like – which can be derived from user feedback and comparing the user to other similar users. This paper discusses how a recommender system could benefit an augmented reality application that enables 3D viewing of artifacts – as part of the Tangible Cultural Analytics (TCA) project at Ryerson University’s Synaesthetic Lab. This paper outlines four recommender systems: 1) content-based filtering, 2) collaborative filtering, 3) cluster models 4) search based models, and 5) hybrid models; discussing the pros and cons to each. Ultimately, a content-based model without the user profile aspect was chosen for this stage in the prototype. This model showed us just how much potential these recommender systems have when helping cultural researchers uncover new relationships and pieces of history through the study and comparison of artifacts.

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Section: Digitizationmentioning

confidence: 99%

Section: Digitizationmentioning

confidence: 99%

Section: Digitizationmentioning

confidence: 99%

Section: Digitizationmentioning

confidence: 99%

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Tangible Cultural Analytics: The Adoption of Recommender Systems Within Cultural Research

Ashley¹

2021

Preprint

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Historical Approaches to Media Studies

Hampton¹

2013

The International Encyclopedia of Media Studies

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In recent decades, media history has become increasingly prominent, with scholarship emerging from a wide variety of disciplines. This chapter examines the methodological issues involved in conducting historical research in media studies. Using Adrian Bingham's Family Newspapers? and Laura Beers's Your Britain as case studies, it explains such topics as historical context, locating primary sources, and the production and reception of media texts. In addition, it outlines the wide variety of historical approaches that can be employed, including textual analysis, policy history, institutional history, and biography.

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The Ephemeral Eighteenth Century

Russell

2020

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The Passing of Print

Cited by 26 publications

References 11 publications

Tangible Cultural Analytics: The Adoption of Recommender Systems Within Cultural Research

Tangible Cultural Analytics: The Adoption of Recommender Systems Within Cultural Research

Historical Approaches to Media Studies

The Ephemeral Eighteenth Century

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