Literature review on source and message characteristics affecting consumer responses to influencer marketing
| Paper | Method/social platform | Source and message characteristics | Key findings |
|---|---|---|---|
| Jin and Phua, 2014 | Experiments/Twitter |
| Higher number of followers increases source credibility and intention to build an online friendship. The joint impact of high number of followers and positive valence increases buying intention and product involvement |
| Uribe et al., 2016 | Experiment/online blog |
| The relevance of using two-sided messages, expert sources and unbiased (nonsponsored) messages in terms of increase blog credibility and behavioral intention toward the reviewed product |
| De Veirman et al., 2017 | Online experiment/Instagram |
| Influencers with a higher number of followers is perceived as more popular and is ascribed more opinion leadership, and therefore, people have more positive attitudes toward this influencer. If influencers with high numbers of followers promote divergent products, this decreases the brand’s perceived uniqueness and, consequently, brand attitudes |
| Xiao et al., 2018 | Online survey/YouTube |
| Trustworthiness, social influence, argument quality and information involvement are influential factors affecting consumer perceived information credibility on YouTube |
| Balabanis and Chatzopoulou, 2019 | Online survey/online blog |
| Information seekers’ objectives and issue involvements are important drivers of blog selection and determinants of the blog’s influence |
| Lou and Yuan, 2019 | Online survey/social platforms |
| The informative value of influencer-generated content, influencer’s trustworthiness, attractiveness and similarity to the followers positively affect followers’ trust in influencers’ branded posts, which subsequently influence brand awareness and purchase intentions |
| De Vries, 2019 | Online experiment/Instagram |
| High as well as low likes-to-followers ratios negatively influence the perceived credibility of the account. The addition of hashtags is identified as a way to guard against the negative impact of high likes-to-followers ratios |
| Boerman, 2020 | Online experiment/Instagram |
| Disclosure positively affects brand recall and intentions to engage with the post via ad recognition Influencer type does not moderate the effect of the disclosure and does not affect people's responses |
| De Veirman and Hudders, 2020 | Online experiment/Instagram |
| Including a sponsorship disclosure negatively affects brand attitude through enhanced ad recognition, which activates ad skepticism, which, in turn, negatively affects the influencer’s credibility. The effect is present when the influencer used a one-sided message and not when the message was two-sided |
| Kay et al., 2020 | Online experiment/Instagram |
| Consumers exposed to the micro-influencer condition report higher levels of product knowledge and consumers exposed to the disclosure condition reported the products endorsed by SMIs to be more attractive |
| Schouten et al., 2020 | Online experiment/online platform |
| Users identify more with influencers than celebrities, feel more similar to influencers than celebrities and trust influencers more than celebrities. Similarity, wishful identification and trust mediate the relationship between type of endorser and advertising effectiveness |
| Balaji et al., 2021 | Online experiment/Instagram |
| Low-construal messages posted by the nanoinfluencer are viewed as more credible than high-construal messages. Positively framed low-construal messages are perceived as more credible than negatively framed low-construal messages |
| Kim and Kim, 2021a | Online survey/Instagram |
| Influencer-product congruence enhances product attitude and reduces advertising recognition Sponsorship disclosure can also affect product attitude in a serial mediation of calculative motive inference and advertising recognition |
| Kim and Kim, 2021b | Online survey/Instagram |
| Trust mediated the impacts of expertise, authenticity and homophily on loyalty and marketing outcomes. The moderating role of relationship strength was confirmed in authenticity-trust and trust-loyalty linkages |
| Lee and Theokary, 2021 | Speech-to-text data, survey data, archival data/social platforms |
| Viewers of superstar SMIs identify the traditionally peripheral elements of linguistic style and emotional contagion as central to increasing the number of views and subscribers |
| Marques et al., 2021 | Exploratory study/Instagram |
| Celebrity’s posts attracted more followers to the brand’s Instagram page when compared to the micro-influencer’s publications. However, the latter has garnered more clicks, comments and likes, thereby increasing the consumer-brand engagement through social media |
| The current study | Online experiment and lab (EEG) experiment/Instagram |
| Meso-influencers are perceived as a credible source of information only when their product-related post provides strong argument quality. Moreover, this process involves an increase in users’ cognitive work (measured with EEG) |
| Paper | Method/social platform | Source and message characteristics | Key findings |
|---|---|---|---|
| Experiments/Twitter | Number of followers Source credibility | Higher number of followers increases source credibility and intention to build an online friendship. The joint impact of high number of followers and positive valence increases buying intention and product involvement | |
| Experiment/online blog | Communicator expertise Message sidedness Advertising intent | The relevance of using two-sided messages, expert sources and unbiased (nonsponsored) messages in terms of increase blog credibility and behavioral intention toward the reviewed product | |
| Online experiment/Instagram | Number of followers Divergent products | Influencers with a higher number of followers is perceived as more popular and is ascribed more opinion leadership, and therefore, people have more positive attitudes toward this influencer. If influencers with high numbers of followers promote divergent products, this decreases the brand’s perceived uniqueness and, consequently, brand attitudes | |
| Online survey/YouTube | Source trustworthiness Argument quality | Trustworthiness, social influence, argument quality and information involvement are influential factors affecting consumer perceived information credibility on YouTube | |
| Online survey/online blog | Blogger credibility Blogger authority and homophily Message usefulness | Information seekers’ objectives and issue involvements are important drivers of blog selection and determinants of the blog’s influence | |
| Online survey/social platforms | Influencers credibility Informative and entertainment value of message content | The informative value of influencer-generated content, influencer’s trustworthiness, attractiveness and similarity to the followers positively affect followers’ trust in influencers’ branded posts, which subsequently influence brand awareness and purchase intentions | |
| Online experiment/Instagram | Likes-to-followers ratio Number of hashtags Perceived account credibility | High as well as low likes-to-followers ratios negatively influence the perceived credibility of the account. The addition of hashtags is identified as a way to guard against the negative impact of high likes-to-followers ratios | |
| Online experiment/Instagram | Number of followers Instagram disclosure | Disclosure positively affects brand recall and intentions to engage with the post via ad recognition Influencer type does not moderate the effect of the disclosure and does not affect people's responses | |
| Online experiment/Instagram | Influencer credibility Instagram disclosure Message sidedness | Including a sponsorship disclosure negatively affects brand attitude through enhanced ad recognition, which activates ad skepticism, which, in turn, negatively affects the influencer’s credibility. The effect is present when the influencer used a one-sided message and not when the message was two-sided | |
| Online experiment/Instagram | Number of likes Instagram disclosure | Consumers exposed to the micro-influencer condition report higher levels of product knowledge and consumers exposed to the disclosure condition reported the products endorsed by SMIs to be more attractive | |
| Online experiment/online platform | Influencer vs celebrity Perceived credibility | Users identify more with influencers than celebrities, feel more similar to influencers than celebrities and trust influencers more than celebrities. Similarity, wishful identification and trust mediate the relationship between type of endorser and advertising effectiveness | |
| Online experiment/Instagram | Message construal Message valence Credibility | Low-construal messages posted by the nanoinfluencer are viewed as more credible than high-construal messages. Positively framed low-construal messages are perceived as more credible than negatively framed low-construal messages | |
| Online survey/Instagram | Sponsorship disclosure Influencer-product congruence | Influencer-product congruence enhances product attitude and reduces advertising recognition Sponsorship disclosure can also affect product attitude in a serial mediation of calculative motive inference and advertising recognition | |
| Online survey/Instagram | Influencer’s credibility and homophily Trust | Trust mediated the impacts of expertise, authenticity and homophily on loyalty and marketing outcomes. The moderating role of relationship strength was confirmed in authenticity-trust and trust-loyalty linkages | |
| Speech-to-text data, survey data, archival data/social platforms | Linguistic style Context expertise Production expertise Emotional contagion | Viewers of superstar SMIs identify the traditionally peripheral elements of linguistic style and emotional contagion as central to increasing the number of views and subscribers | |
| Exploratory study/Instagram | Number of followers Clicks Likes Comments | Celebrity’s posts attracted more followers to the brand’s Instagram page when compared to the micro-influencer’s publications. However, the latter has garnered more clicks, comments and likes, thereby increasing the consumer-brand engagement through social media | |
| The current study | Online experiment and lab (EEG) experiment/Instagram | Number of followers Source credibility Argument quality | Meso-influencers are perceived as a credible source of information only when their product-related post provides strong argument quality. Moreover, this process involves an increase in users’ cognitive work (measured with EEG) |
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