Oh the places you’ll share

An affordances-based model of social media posting behaviors

Harmanpreet Kaur, Isaac Johnson, Hannah J. Miller, Loren G. Terveen, Cliff Lampe, Brent Hecht, Walter S. Lasecki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With rising use of multiple social network sites (SNSs), people now have an increasing number of options for audience, media, and other SNS features at their disposal. In this paper, our goal is to build machine learning models that can predict people’s multi-SNS posting decisions, thus enabling technology that can personalize and augment current SNS use. We explore affordances—the perceived utilities of a SNS’s features—for creating these models. We build an affordance-based model using data collected from a survey about people’s multi-SNS posting behavior (n = 674). Our model predicts posting decisions that are ∼35% more accurate compared to a random baseline, and ∼10% more accurate than predictions based on SNS popularity.

Original languageEnglish (US)
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationEngage with CHI
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450356206, 9781450356213
DOIs
StatePublished - Apr 20 2018
Event2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018 - Montreal, Canada
Duration: Apr 21 2018Apr 26 2018

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2018-April

Other

Other2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018
CountryCanada
CityMontreal
Period4/21/184/26/18

Fingerprint

Learning systems

Keywords

  • Affordances
  • Social media ecosystem
  • Usage models

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Kaur, H., Johnson, I., Miller, H. J., Terveen, L. G., Lampe, C., Hecht, B., & Lasecki, W. S. (2018). Oh the places you’ll share: An affordances-based model of social media posting behaviors. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI [LBW534] (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April). Association for Computing Machinery. https://doi.org/10.1145/3170427.3188601
Kaur, Harmanpreet ; Johnson, Isaac ; Miller, Hannah J. ; Terveen, Loren G. ; Lampe, Cliff ; Hecht, Brent ; Lasecki, Walter S. / Oh the places you’ll share : An affordances-based model of social media posting behaviors. CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, 2018. (Conference on Human Factors in Computing Systems - Proceedings).
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abstract = "With rising use of multiple social network sites (SNSs), people now have an increasing number of options for audience, media, and other SNS features at their disposal. In this paper, our goal is to build machine learning models that can predict people’s multi-SNS posting decisions, thus enabling technology that can personalize and augment current SNS use. We explore affordances—the perceived utilities of a SNS’s features—for creating these models. We build an affordance-based model using data collected from a survey about people’s multi-SNS posting behavior (n = 674). Our model predicts posting decisions that are ∼35{\%} more accurate compared to a random baseline, and ∼10{\%} more accurate than predictions based on SNS popularity.",
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Kaur, H, Johnson, I, Miller, HJ, Terveen, LG, Lampe, C, Hecht, B & Lasecki, WS 2018, Oh the places you’ll share: An affordances-based model of social media posting behaviors. in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI., LBW534, Conference on Human Factors in Computing Systems - Proceedings, vol. 2018-April, Association for Computing Machinery, 2018 CHI Conference on Human Factors in Computing Systems, CHI EA 2018, Montreal, Canada, 4/21/18. https://doi.org/10.1145/3170427.3188601

Oh the places you’ll share : An affordances-based model of social media posting behaviors. / Kaur, Harmanpreet; Johnson, Isaac; Miller, Hannah J.; Terveen, Loren G.; Lampe, Cliff; Hecht, Brent; Lasecki, Walter S.

CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, 2018. LBW534 (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Kaur H, Johnson I, Miller HJ, Terveen LG, Lampe C, Hecht B et al. Oh the places you’ll share: An affordances-based model of social media posting behaviors. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery. 2018. LBW534. (Conference on Human Factors in Computing Systems - Proceedings). https://doi.org/10.1145/3170427.3188601