The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Gender effects in influencer marketing: an experimental study on the efficacy of endorsements by same- vs. other-gender social media influencers on Instagram
Abstract
Women largely dominate the influencer business, and previous studies often either have focused on female social media influencers, or else matched the influencer’s gender with the participant’s gender in experimental research, as it is assumed that same-gender endorsements may increase persuasion. However, no empirical research is available yet that examines how the influencer’s gender affects the persuasiveness of sponsored content posted by this influencer. Therefore, this paper reports on the results from an experimental study (N = 241) testing whether a sponsored post leads to more engagement and greater brand attitude when endorsed by a male vs. a female influencer, and whether the participants’ gender moderates this effect. The results revealed no main effects of an influencer’s gender, however, an interaction effect was found with participants’ gender. More specific, and in line with social identity theory, results suggest that women perceive themselves to be more similar to the female compared to the male influencer, leading to stronger feelings of parasocial interaction, which in turn positively affect brand attitude and post engagement. For men, no differences were found between a male and female influencer on brand attitude nor post engagement through perceived similarity and parasocial interaction. These findings’ implications will be discussed further.
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“Female users might be more likely to build parasocial interaction with female SMIs, while male users might be more likely to build parasocial interaction with male SMIs (Hudders and Jans 2022).”
From Influencer Marketing on Instagram: Empirical Research on Social Media Engagement with Sponsored Posts (2022) · cites this paper as Hudders and Jans 2022
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Metadata
- Authors
- Hudders, L., & De Jans, S.
- Affiliations
- Ghent University (BE)
- Department of Communication Sciences, Ghent University
- Corresponding author
- Hudders, Liselot
- ORCID
- Hudders, Liselot
- Venue
- International Journal of Advertising
- Publisher
- Informa UK Limited
- Published
- 2021-11-15
- Volume
- 41
- Issue
- 1
- Pages
- 128-149
- ISSN
- 0265-0487 (ISSN-L)
- 1759-3948
- OpenAlex
- W3212041623
- Cited by
- 200
- References
- 59
- Citations by year
- 2026: 45 · 2025: 64 · 2024: 47 · 2023: 31 · 2022: 13
- FWCI
- 31.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Advertising (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Marketing › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
- Social Sciences › Business, Management and Accounting › Marketing › Marketing and Advertising Strategies
- Keywords
- influencer marketing, sponsored content, Instagram, parasocial interaction, social identity theory, perceived similarity, brand attitude, post engagement, moderating effect of gender, persuasion
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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