Recommendation or advertisement? the influence of advertising-disclosure language with pictorial types on influencer credibility and consumers’ brand attitudes

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

The impacts of advertising-disclosure language on influencer marketing have increasingly attracted researchers’ attention. However, little research has focused on the role of pictorial types on social media influencers and brands. Thus, this study explores how different combinations of advertising-disclosure conditions and pictorial types can affect social media influencer credibility and consumers’ brand attitudes. By using an experimental 3 × 2 between-subject design, we collected data from 264 followers of beauty influencers on Weibo. Results revealed that a post that disclosed sponsorship significantly decreased influencer credibility and consumers’ brand attitudes compared to a post without any disclosure. Results also showed that a post with no-sponsorship disclosure significantly increased influencer credibility and consumers’ brand attitudes than a post without any disclosure or a post disclosing sponsorship. With regard to pictorial types, the influencer-with-product type led to higher influencer credibility and more positive brand attitudes in consumers than the product-only type in all three disclosure conditions. This study highlights the role of pictorial types in strengthening the power of advertising-disclosure language, which can further affect influencer credibility and consumers’ brand attitudes. This study contributes to the visual complexity literature for influencer marketing.

Original languageEnglish
Title of host publicationHCI International 2020 – Late Breaking Papers
Subtitle of host publicationInteraction, Knowledge and Social Media - 22nd HCI International Conference, HCII 2020, Proceedings
EditorsConstantine Stephanidis, Gavriel Salvendy, June Wei, Sakae Yamamoto, Hirohiko Mori, Gabriele Meiselwitz, Fiona Fui-Hoon Nah, Keng Siau
PublisherSpringer Science and Business Media Deutschland GmbH
Pages234-248
Number of pages15
ISBN (Print)9783030601515
DOIs
StatePublished - 2020
Externally publishedYes
Event22nd International Conference on Human Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12427 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Human Computer Interaction, HCII 2020
Country/TerritoryDenmark
CityCopenhagen
Period19/07/2024/07/20

Keywords

  • Advertising-disclosure language
  • Consumers’ brand attitudes
  • Influencer credibility
  • Influencer marketing
  • Pictorial types

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