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What is Your Data Silhouette?: Raising Teen Awareness of their Data Traces in Social Media

Authors:

Amelia Acker,

Leanne BowlerAuthors Info & Claims

#SMSociety17: Proceedings of the 8th International Conference on Social Media & Society

Article No.: 26, Pages 1 - 5

https://doi.org/10.1145/3097286.3097312

Published: 28 July 2017 Publication History

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Abstract

The paper reports on a series of data literacy workshops for young people ages 11 to 17, held in three Pittsburgh-area public libraries during Fall 2016. The workshops, called Data Silhouettes, served two purposes. First, as a mechanism for examining young peoples' understandings of their data worlds and secondly, to pilot test a library-based learning experience designed to reveal the relationship between social media behaviour and the data traces left behind.

References

[1]

Agosto, D. E., Abbas, J., & Naughton, R. 2012. Relationships and social rules: Teens' social network and other ICT selection practices. Journal of the American Society for Information Science and Technology. 63, 6 1108--1124.

Digital Library

Google Scholar

[2]

Ahn, J. 2011. The effect of social network sites on adolescents' social and academic development: Current theories and controversies. Journal of the American Society for information Science and Technology. 62, 8. 1435--1445.

Digital Library

Google Scholar

[3]

boyd, d. 2014. It's Complicated: The Social Lives of Networked Teens. New Haven, CT: Yale University Press.

Digital Library

Google Scholar

[4]

Deahl, E. 2014. Better the data you know: Developing youth data literacy in schools and informal learning environments. (Unpublished Masters Thesis). Massachusetts Institute of Technology.

Google Scholar

[5]

Finzer, W. 2013. The data science education dilemma. Technology Innovations in Statistics Education. 7, 2.

Crossref

Google Scholar

[6]

Friere, P. 1994. Pedagogy of Hope. London: Continuum.

Google Scholar

[7]

Lenhart, A. 2015. Teens, Social Media and Technology Overview 2015. PEW Research Center. Internet, Science & Tech. http://www.pewinternet.org/2015/04/09/teens-social-media-technology-2015/

Google Scholar

[8]

Livingstone, Sonia 2014. Developing social media literacy: How children learn to interpret risky opportunities on social network sites. Communications: The European Journal of Communication Research. 39, 3. 283--303.

Google Scholar

[9]

Marchionini, G. 2008. Human information interaction research and development. Library and Information Science Research. 30. 165--174.

Google Scholar

[10]

Moore, C. L. 2016. A study of social media and its influence on teen information seeking behaviors. The Serial Librarian. 71, 2.

Crossref

Google Scholar

Cited By

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Wang GZhao JKollnig KZier ADuron BZhang ZVan Kleek MShadbolt N(2024)KOALA Hero Toolkit: A New Approach to Inform Families of Mobile Datafication RisksProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642283(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642283
Wang GZhao JVan Kleek MShadbolt N(2023)‘Treat me as your friend, not a number in your database’: Co-designing with Children to Cope with Datafication OnlineProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580933(1-21)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580933
Wang GZhao JVan Kleek MShadbolt N(2022)'Don't make assumptions about me!': Understanding Children's Perception of Datafication OnlineProceedings of the ACM on Human-Computer Interaction10.1145/35551446:CSCW2(1-24)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555144
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Index Terms

What is Your Data Silhouette?: Raising Teen Awareness of their Data Traces in Social Media
1. Networks
  1. Network types
    1. Overlay and other logical network structures
      1. Social media networks
2. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Informal education
  2. User characteristics
    1. Age
      1. Adolescents

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#SMSociety17: Proceedings of the 8th International Conference on Social Media & Society

July 2017

414 pages

ISBN:9781450348478

DOI:10.1145/3097286

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 28 July 2017

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#SMSociety17: 2017 International Conference on Social Media & Society

July 28 - 30, 2017

ON, Toronto, Canada

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#SMSociety17 Paper Acceptance Rate 58 of 142 submissions, 41%;

Overall Acceptance Rate 78 of 189 submissions, 41%

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Wang GZhao JKollnig KZier ADuron BZhang ZVan Kleek MShadbolt N(2024)KOALA Hero Toolkit: A New Approach to Inform Families of Mobile Datafication RisksProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642283(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642283
Wang GZhao JVan Kleek MShadbolt N(2023)‘Treat me as your friend, not a number in your database’: Co-designing with Children to Cope with Datafication OnlineProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580933(1-21)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580933
Wang GZhao JVan Kleek MShadbolt N(2022)'Don't make assumptions about me!': Understanding Children's Perception of Datafication OnlineProceedings of the ACM on Human-Computer Interaction10.1145/35551446:CSCW2(1-24)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555144
Sun KSugatan CAfnan TSimon HGelman SRadesky JSchaub FKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)“They See You’re a Girl if You Pick a Pink Robot with a Skirt”: A Qualitative Study of How Children Conceptualize Data Processing and Digital Privacy RisksProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445333(1-34)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445333

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Income, race, and class: exploring socioeconomic differences in family technology use

From Ignoring Strangers’ Solicitations to Mutual Sexting with Friends: Understanding Youth’s Online Sexual Risks in Instagram Private Conversations

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Youth Perspectives on Critical Data Literacies

Income, race, and class: exploring socioeconomic differences in family technology use

From Ignoring Strangers’ Solicitations to Mutual Sexting with Friends: Understanding Youth’s Online Sexual Risks in Instagram Private Conversations

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