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Measuring Sponsorship Transparency in the Age of Native Advertising

Author

Listed:
  • Bartosz W. Wojdynski
  • Nathaniel J. Evans
  • Mariea Grubbs Hoy

Abstract

As advertisers continue to develop new formats of online content that blurs the line between advertising and news or entertainment, the need to understand how consumers process covert advertising grows. While regulators and industry practitioners agree that transparency is paramount to preventing consumer deception, there exists no established way of determining the extent to which a given message transparently conveys to consumers that is a paid advertisement. The current study makes the case for, develops, and validates a scale to measure sponsorship transparency. Following traditional scale development methods, the study generates a pool of items based on consumer and expert input, reduces the number of items based on empirical research, and evaluates scale validity and reliability using a diverse national sample.

Suggested Citation

  • Bartosz W. Wojdynski & Nathaniel J. Evans & Mariea Grubbs Hoy, 2018. "Measuring Sponsorship Transparency in the Age of Native Advertising," Journal of Consumer Affairs, Wiley Blackwell, vol. 52(1), pages 115-137, March.
    • Handle: RePEc:bla:jconsa:v:52:y:2018:i:1:p:115-137
    DOI: 10.1111/joca.12144
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    Cited by:

    1. Delia Cristina Balaban & Meda Mucundorfeanu & Larisa Ioana Mureșan, 2022. "Adolescents’ Understanding of the Model of Sponsored Content of Social Media Influencer Instagram Stories," Media and Communication, Cogitatio Press, vol. 10(1), pages 305-316.
    2. Jacobson, Jenna & Hodson, Jaigris & Mittelman, Robert, 2022. "Pup-ularity contest: The advertising practices of popular animal influencers on Instagram," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    3. Dongmei Li & Ung T’chiang Chow & Cecilia Yin Mei Cheong, 2022. "A Critical Genre Analysis of Covert Advertising Through Short-Videos in Douyin: The Chinese Version of Tik-Tok," SAGE Open, , vol. 12(4), pages 21582440221, November.
    4. Kim, Do Yuon & Kim, Hye-Young, 2021. "Influencer advertising on social media: The multiple inference model on influencer-product congruence and sponsorship disclosure," Journal of Business Research, Elsevier, vol. 130(C), pages 405-415.
    5. Nora Moran, 2020. "Illusion of safety: How consumers underestimate manipulation and deception in online (vs. offline) shopping contexts," Journal of Consumer Affairs, Wiley Blackwell, vol. 54(3), pages 890-911, September.
    6. Li Chen & Yajie Yan & Andrew N. Smith, 2023. "What drives digital engagement with sponsored videos? An investigation of video influencers’ authenticity management strategies," Journal of the Academy of Marketing Science, Springer, vol. 51(1), pages 198-221, January.

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