Affective, behavioral, and cognitive aspects of teen perspectives on personal data in social media: A model of youth data literacy

Yu Chi; Wei Jeng; Amelia Acker; Leanne Bowler

doi:10.1007/978-3-319-78105-1_49

Affective, behavioral, and cognitive aspects of teen perspectives on personal data in social media: A model of youth data literacy

Yu Chi, Wei Jeng, Amelia Acker, Leanne Bowler

School of Information Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

Abstract

In this study, we explored the interplay between teens’ Affective states (A), Behavioral states (B), and Cognitive states (C) in relation to the personal data they generate in social media, applying the “ABC model” from the social psychology domain. The data was collected from semi-structured interviews with 22 US teens in three library branches of the Carnegie Library of Pittsburgh, USA. Results from content analysis suggest that: (1) Young people are positive about their data skills, while feeling negative or insecure about data privacy issues; (2) young people with negative affective states related to data privacy are more likely to make an effort to secure their social media accounts and profiles. Given the results, we suggest librarians, educators and software developers apply a range of strategies in reaction to teens’ different ABC states to the design of data literacy programs, services, and software applications.

Original language	English
Title of host publication	Transforming Digital Worlds - 13th International Conference, iConference 2018, Proceedings
Editors	Gobinda Chowdhury, Julie McLeod, Val Gillet, Peter Willett
Pages	442-452
Number of pages	11
DOIs	https://doi.org/10.1007/978-3-319-78105-1_49
State	Published - 2018
Event	13th International Conference on Transforming Digital Worlds, iConference 2018 - Sheffield, United Kingdom Duration: Mar 25 2018 → Mar 28 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10766 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Transforming Digital Worlds, iConference 2018
Country/Territory	United Kingdom
City	Sheffield
Period	3/25/18 → 3/28/18

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.

Keywords

Affect
Behavior
Cognition
Data literacy
Teens

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-319-78105-1_49

Cite this

Chi, Y., Jeng, W., Acker, A., & Bowler, L. (2018). Affective, behavioral, and cognitive aspects of teen perspectives on personal data in social media: A model of youth data literacy. In G. Chowdhury, J. McLeod, V. Gillet, & P. Willett (Eds.), Transforming Digital Worlds - 13th International Conference, iConference 2018, Proceedings (pp. 442-452). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10766 LNCS). https://doi.org/10.1007/978-3-319-78105-1_49

Chi, Yu ; Jeng, Wei ; Acker, Amelia et al. / Affective, behavioral, and cognitive aspects of teen perspectives on personal data in social media : A model of youth data literacy. Transforming Digital Worlds - 13th International Conference, iConference 2018, Proceedings. editor / Gobinda Chowdhury ; Julie McLeod ; Val Gillet ; Peter Willett. 2018. pp. 442-452 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Affective, behavioral, and cognitive aspects of teen perspectives on personal data in social media: A model of youth data literacy",

abstract = "In this study, we explored the interplay between teens{\textquoteright} Affective states (A), Behavioral states (B), and Cognitive states (C) in relation to the personal data they generate in social media, applying the “ABC model” from the social psychology domain. The data was collected from semi-structured interviews with 22 US teens in three library branches of the Carnegie Library of Pittsburgh, USA. Results from content analysis suggest that: (1) Young people are positive about their data skills, while feeling negative or insecure about data privacy issues; (2) young people with negative affective states related to data privacy are more likely to make an effort to secure their social media accounts and profiles. Given the results, we suggest librarians, educators and software developers apply a range of strategies in reaction to teens{\textquoteright} different ABC states to the design of data literacy programs, services, and software applications.",

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author = "Yu Chi and Wei Jeng and Amelia Acker and Leanne Bowler",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 13th International Conference on Transforming Digital Worlds, iConference 2018 ; Conference date: 25-03-2018 Through 28-03-2018",

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Chi, Y, Jeng, W, Acker, A & Bowler, L 2018, Affective, behavioral, and cognitive aspects of teen perspectives on personal data in social media: A model of youth data literacy. in G Chowdhury, J McLeod, V Gillet & P Willett (eds), Transforming Digital Worlds - 13th International Conference, iConference 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10766 LNCS, pp. 442-452, 13th International Conference on Transforming Digital Worlds, iConference 2018, Sheffield, United Kingdom, 3/25/18. https://doi.org/10.1007/978-3-319-78105-1_49

Affective, behavioral, and cognitive aspects of teen perspectives on personal data in social media: A model of youth data literacy. / Chi, Yu; Jeng, Wei; Acker, Amelia et al.
Transforming Digital Worlds - 13th International Conference, iConference 2018, Proceedings. ed. / Gobinda Chowdhury; Julie McLeod; Val Gillet; Peter Willett. 2018. p. 442-452 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10766 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Chi, Yu

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AU - Bowler, Leanne

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

PY - 2018

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AB - In this study, we explored the interplay between teens’ Affective states (A), Behavioral states (B), and Cognitive states (C) in relation to the personal data they generate in social media, applying the “ABC model” from the social psychology domain. The data was collected from semi-structured interviews with 22 US teens in three library branches of the Carnegie Library of Pittsburgh, USA. Results from content analysis suggest that: (1) Young people are positive about their data skills, while feeling negative or insecure about data privacy issues; (2) young people with negative affective states related to data privacy are more likely to make an effort to secure their social media accounts and profiles. Given the results, we suggest librarians, educators and software developers apply a range of strategies in reaction to teens’ different ABC states to the design of data literacy programs, services, and software applications.

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Chi Y, Jeng W, Acker A, Bowler L. Affective, behavioral, and cognitive aspects of teen perspectives on personal data in social media: A model of youth data literacy. In Chowdhury G, McLeod J, Gillet V, Willett P, editors, Transforming Digital Worlds - 13th International Conference, iConference 2018, Proceedings. 2018. p. 442-452. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-78105-1_49

Affective, behavioral, and cognitive aspects of teen perspectives on personal data in social media: A model of youth data literacy

Abstract

Publication series

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Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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