Enhancing Digital Literacy by Multi-modal Data Mining of the Digital Lifespan

John Collomosse, Stuart James, Abigail Durrant, Diego Trujillo-Pisanty , Wendy Moncur, Kathryn M. Orzech, Sarah Martindale, Mike Chantler

    Research output: Contribution to conferencePaper

    Abstract

    Social media pervades modern digital society, yet despite its regular use the general level of digital literacy and awareness of online representations of self remain low. We report progress on the RCUK DE funded ‘Charting the Digital Lifespan’ project, which promotes digital literacy of social media through design of novel technological interventions that raise awareness of the digital personhood. We describe progress towards automatic social media data-mining capable of categorising photographs and associated comments into high-level semantic concept groups elicited from digital anthropological study. We describe how this pilot system has been incorporated into live trials of technologies that visualize and encourage reflection upon digital personhood.
    Original languageEnglish
    Number of pages3
    Publication statusPublished - Dec 2014
    EventFifth Annual Digital Economy All Hands Meeting - London, United Kingdom
    Duration: 3 Dec 20145 Dec 2014
    http://www.de2014.org/

    Conference

    ConferenceFifth Annual Digital Economy All Hands Meeting
    Abbreviated titleDE/2014
    CountryUnited Kingdom
    CityLondon
    Period3/12/145/12/14
    Internet address

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    Data mining
    Semantics

    Cite this

    Collomosse, J., James, S., Durrant, A., Trujillo-Pisanty , D., Moncur, W., Orzech, K. M., ... Chantler, M. (2014). Enhancing Digital Literacy by Multi-modal Data Mining of the Digital Lifespan. Paper presented at Fifth Annual Digital Economy All Hands Meeting, London, United Kingdom.
    Collomosse, John ; James, Stuart ; Durrant, Abigail ; Trujillo-Pisanty , Diego ; Moncur, Wendy ; Orzech, Kathryn M. ; Martindale, Sarah ; Chantler, Mike. / Enhancing Digital Literacy by Multi-modal Data Mining of the Digital Lifespan. Paper presented at Fifth Annual Digital Economy All Hands Meeting, London, United Kingdom.3 p.
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    title = "Enhancing Digital Literacy by Multi-modal Data Mining of the Digital Lifespan",
    abstract = "Social media pervades modern digital society, yet despite its regular use the general level of digital literacy and awareness of online representations of self remain low. We report progress on the RCUK DE funded ‘Charting the Digital Lifespan’ project, which promotes digital literacy of social media through design of novel technological interventions that raise awareness of the digital personhood. We describe progress towards automatic social media data-mining capable of categorising photographs and associated comments into high-level semantic concept groups elicited from digital anthropological study. We describe how this pilot system has been incorporated into live trials of technologies that visualize and encourage reflection upon digital personhood.",
    author = "John Collomosse and Stuart James and Abigail Durrant and Diego Trujillo-Pisanty and Wendy Moncur and Orzech, {Kathryn M.} and Sarah Martindale and Mike Chantler",
    year = "2014",
    month = "12",
    language = "English",
    note = "Fifth Annual Digital Economy All Hands Meeting, DE/2014 ; Conference date: 03-12-2014 Through 05-12-2014",
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    Collomosse, J, James, S, Durrant, A, Trujillo-Pisanty , D, Moncur, W, Orzech, KM, Martindale, S & Chantler, M 2014, 'Enhancing Digital Literacy by Multi-modal Data Mining of the Digital Lifespan' Paper presented at Fifth Annual Digital Economy All Hands Meeting, London, United Kingdom, 3/12/14 - 5/12/14, .

    Enhancing Digital Literacy by Multi-modal Data Mining of the Digital Lifespan. / Collomosse, John; James, Stuart ; Durrant, Abigail ; Trujillo-Pisanty , Diego; Moncur, Wendy; Orzech, Kathryn M.; Martindale, Sarah; Chantler, Mike.

    2014. Paper presented at Fifth Annual Digital Economy All Hands Meeting, London, United Kingdom.

    Research output: Contribution to conferencePaper

    TY - CONF

    T1 - Enhancing Digital Literacy by Multi-modal Data Mining of the Digital Lifespan

    AU - Collomosse, John

    AU - James, Stuart

    AU - Durrant, Abigail

    AU - Trujillo-Pisanty , Diego

    AU - Moncur, Wendy

    AU - Orzech, Kathryn M.

    AU - Martindale, Sarah

    AU - Chantler, Mike

    PY - 2014/12

    Y1 - 2014/12

    N2 - Social media pervades modern digital society, yet despite its regular use the general level of digital literacy and awareness of online representations of self remain low. We report progress on the RCUK DE funded ‘Charting the Digital Lifespan’ project, which promotes digital literacy of social media through design of novel technological interventions that raise awareness of the digital personhood. We describe progress towards automatic social media data-mining capable of categorising photographs and associated comments into high-level semantic concept groups elicited from digital anthropological study. We describe how this pilot system has been incorporated into live trials of technologies that visualize and encourage reflection upon digital personhood.

    AB - Social media pervades modern digital society, yet despite its regular use the general level of digital literacy and awareness of online representations of self remain low. We report progress on the RCUK DE funded ‘Charting the Digital Lifespan’ project, which promotes digital literacy of social media through design of novel technological interventions that raise awareness of the digital personhood. We describe progress towards automatic social media data-mining capable of categorising photographs and associated comments into high-level semantic concept groups elicited from digital anthropological study. We describe how this pilot system has been incorporated into live trials of technologies that visualize and encourage reflection upon digital personhood.

    M3 - Paper

    ER -

    Collomosse J, James S, Durrant A, Trujillo-Pisanty D, Moncur W, Orzech KM et al. Enhancing Digital Literacy by Multi-modal Data Mining of the Digital Lifespan. 2014. Paper presented at Fifth Annual Digital Economy All Hands Meeting, London, United Kingdom.