Proceedings of the 35th Annual ACM Symposium on Applied Computing 2020
DOI: 10.1145/3341105.3373954
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Mining micro-influencers from social media posts

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Cited by 8 publications
(7 citation statements)
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“…This visualization methodology provides a more comprehensive and logical examination compared to traditional qualitative methods. To accurately investigate the structural and theoretical underpinnings of micro-influence, we employed co-occurrence analysis, specifically conceptual networks [ 20 ]. Figure 3 illustrates the interconnectedness of keywords within the micro-influencer research domain.…”
Section: Primary Researchmentioning
confidence: 99%
See 2 more Smart Citations
“…This visualization methodology provides a more comprehensive and logical examination compared to traditional qualitative methods. To accurately investigate the structural and theoretical underpinnings of micro-influence, we employed co-occurrence analysis, specifically conceptual networks [ 20 ]. Figure 3 illustrates the interconnectedness of keywords within the micro-influencer research domain.…”
Section: Primary Researchmentioning
confidence: 99%
“…The analysis reveals a need for more in-depth and refined research on micro-influencers. Several articles emphasize the crucial role of “credibility” in the current micro-influencer mechanism [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 ], with this paper addressing the antecedents of “credibility” and bridging gaps in micro-influencer identification compared to other influencers.…”
Section: Primary Researchmentioning
confidence: 99%
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“…Some are good at engaging with others, regardless of the specific context. Following Leonardi et al (2020), we operationalize each autonomous publics' general engagement pattern as a function of her long-term approach to engagement (as indicated by her total number of followers and the total number of tweets sent over the entire account's history) and how well she could invite engagement (as indicated by the total number of likes and retweets she has ever received). It is likely that in an autonomous public community, the type of publics that are generally keen to engage with others may also be quite popular.…”
Section: Autonomous Public Communities' Norms Of Interactionmentioning
confidence: 99%
“…Publics' General Engagement Pattern. Following Leonardi et al (2020), we calculated each user's engagement score with the following equation to assess their general approach to engagement, not specific to the focal organizations' community. Leonardi et al (2020) found that the higher the engagement score, the faster a user's message tends to spread inside and outside of her community:…”
Section: Datamentioning
confidence: 99%