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The effects of advertisement disclosure on heavy and light Instagram users

Author

Listed:
  • Zofia Saternus

    (Goethe University Frankfurt)

  • Patrick Weber

    (Goethe University Frankfurt)

  • Oliver Hinz

    (Goethe University Frankfurt)

Abstract

The present study investigates the moderating effect of usage intensity of the social networking site (SNS) Instagram (IG) on the influence of advertisement disclosure types on advertising performance. A national sample (N = 566) participated in a randomized online experiment including a real influencer and followers in order to investigate how different advertisement disclosure types affect advertising performance and how usage intensity moderates this effect. We find that disclosing an influencer’s postings with “#ad” increases the trustworthiness of the influencer and the general credibility of the posting for heavy users, but not for light users. Followership of a user has been found to strongly improve all researched variables (attitude toward product placement, trustworthiness of the spokesperson and general credibility of the posting). This study adds to literature the first distinction on heavy and light usage intensity, and on followership of an IG user when regarding the effects of advertisement disclosure types on advertising performance. To conclude, we present a number of recommendations regarding how advertisers, influencers, and SNS providers should develop strategies for monitoring, understanding, and responding to different social media users, e.g., to closely monitor an influencer’s audience to identify heavy users and optimally target them.

Suggested Citation

  • Zofia Saternus & Patrick Weber & Oliver Hinz, 2022. "The effects of advertisement disclosure on heavy and light Instagram users," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1351-1372, September.
  • Handle: RePEc:spr:elmark:v:32:y:2022:i:3:d:10.1007_s12525-022-00546-y
    DOI: 10.1007/s12525-022-00546-y
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    1. Patti Williams & Aimee Drolet, 2005. "Age-Related Differences in Responses to Emotional Advertisements," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(3), pages 343-354, December.
    2. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.
    3. Uzunoğlu, Ebru & Misci Kip, Sema, 2014. "Brand communication through digital influencers: Leveraging blogger engagement," International Journal of Information Management, Elsevier, vol. 34(5), pages 592-602.
    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. Friestad, Marian & Wright, Peter, 1994. "The Persuasion Knowledge Model: How People Cope with Persuasion Attempts," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(1), pages 1-31, June.
    6. Ricardo Buettner, 2017. "Predicting user behavior in electronic markets based on personality-mining in large online social networks," Electronic Markets, Springer;IIM University of St. Gallen, vol. 27(3), pages 247-265, August.
    7. Othman Boujena & Isabelle Ulrich & Aikaterini Manthiou & Bruno Godey, 2021. "Customer engagement and performance in social media: a managerial perspective," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 965-987, December.
    8. Jani Merikivi & Antti Salovaara & Matti Mäntymäki & Lilong Zhang, 2018. "On the way to understanding binge watching behavior: the over-estimated role of involvement," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(1), pages 111-122, February.
    9. Campbell, Colin & Farrell, Justine Rapp, 2020. "More than meets the eye: The functional components underlying influencer marketing," Business Horizons, Elsevier, vol. 63(4), pages 469-479.
    10. Russell, Cristel Antonia, 2002. "Investigating the Effectiveness of Product Placements in Television Shows: The Role of Modality and Plot Connection Congruence on Brand Memory and Attitude," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 29(3), pages 306-318, December.
    11. Alice Audrezet & Gwarlann de Kerviler & Julie Guidry Moulard, 2018. "Authenticity under threat: When social media influencers need to go beyond self-presentation," Post-Print hal-01914732, HAL.
    12. Manfred Bruhn & Verena Schoenmueller & Daniela B. Schäfer, 2012. "Are social media replacing traditional media in terms of brand equity creation?," Management Research Review, Emerald Group Publishing Limited, vol. 35(9), pages 770-790, August.
    13. Calder, Bobby J. & Malthouse, Edward C. & Schaedel, Ute, 2009. "An Experimental Study of the Relationship between Online Engagement and Advertising Effectiveness," Journal of Interactive Marketing, Elsevier, vol. 23(4), pages 321-331.
    14. Kietzmann, Jan H. & Hermkens, Kristopher & McCarthy, Ian P. & Silvestre, Bruno S., 2011. "Social media? Get serious! Understanding the functional building blocks of social media," Business Horizons, Elsevier, vol. 54(3), pages 241-251, May.
    15. Yi-Ting Huang & Sheng-Fang Su, 2018. "Motives for Instagram Use and Topics of Interest among Young Adults," Future Internet, MDPI, vol. 10(8), pages 1-12, August.
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    Cited by:

    1. Rainer Alt, 2022. "Electronic Markets on platform culture," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1019-1031, September.

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    More about this item

    Keywords

    Advertisement disclosure; Heavy and light users; Usage intensity; Social networking site; Influencer marketing; Advertising performance;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D18 - Microeconomics - - Household Behavior - - - Consumer Protection
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • K21 - Law and Economics - - Regulation and Business Law - - - Antitrust Law
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising
    • Z18 - Other Special Topics - - Cultural Economics - - - Public Policy

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