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How do influencers mention brands in social media?: sponsorship prediction of Instagram posts

Published: 15 January 2020 Publication History

Abstract

Brand mentioning is a type of word-of-mouth advertising method where a brand name is disclosed by social media users in posts. Recently, brand mentioning by influencers has raised great attention because of the strong viral effects on the huge fan base of influencers. In this paper, we study the brand mentioning practice of influencers. More specifically, we analyze a brand mentioning social network built on 18,523 Instagram influencers and 804,397 brand mentioning posts. As a result, we found four inspiring findings: (i) most influencers mention only a few brands in their posts; (ii) popular influencers tend to mention only popular brands while micro-influencers do not have a preference on brand popularity; (iii) audience have highly similar reactions to sponsored and non-sponsored posts; and (iv) compared to non-sponsored posts, sponsored brand mentioning posts favor fewer usertags and more hashtags with longer captions to exclusively promote the specific products. Moreover, we propose a neural network-based model to classify the sponsorship of posts utilizing network embedding and social media features. The experimental results show that our model achieves 80% accuracy and significantly outperforms baseline methods.

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cover image ACM Conferences
ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
August 2019
1228 pages
ISBN:9781450368681
DOI:10.1145/3341161
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 15 January 2020

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ASONAM '19 Paper Acceptance Rate 41 of 286 submissions, 14%;
Overall Acceptance Rate 116 of 549 submissions, 21%

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Cited By

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  • (2024)A Comprehensive Overview of Micro-Influencer Marketing: Decoding the Current Landscape, Impacts, and TrendsBehavioral Sciences10.3390/bs1403024314:3(243)Online publication date: 18-Mar-2024
  • (2024)Proselytizing the potential of influencer marketing via artificial intelligence: mapping the research trends through bibliometric analysisCogent Business & Management10.1080/23311975.2024.237288911:1Online publication date: Jul-2024
  • (2023)Systematic Literature Review of Social Media interactions2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)10.1109/ICECCME57830.2023.10252420(1-4)Online publication date: 19-Jul-2023
  • (2023)Instagram travel influencers coping with COVID-19 travel disruptionInformation Technology & Tourism10.1007/s40558-023-00276-726:1(119-146)Online publication date: 18-Oct-2023
  • (2022)Self-Presenting Virtually for Remote Social InfluencePractical Peer-to-Peer Teaching and Learning on the Social Web10.4018/978-1-7998-6496-7.ch013(407-461)Online publication date: 2022
  • (2022)A Social Network Approach to Social Media Influencers on Instagram: The Strength of Being a Nano-Influencer in Cause CommunitiesJournal of Interactive Advertising10.1080/15252019.2022.213965323:1(1-13)Online publication date: 17-Nov-2022
  • (2021)Identificación de publicidad y estrategias para la creación de contenidos de instagramers en español: estudio de caso de 45 perfilesEstudios sobre el Mensaje Periodístico10.5209/esmp.7286927:4(1151-1161)Online publication date: 29-Sep-2021
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  • (2021)Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post LearningProceedings of the 14th ACM International Conference on Web Search and Data Mining10.1145/3437963.3441803(319-327)Online publication date: 8-Mar-2021
  • (2021)Amazon Product Brand Analysis Framework Using Apache Spark on Real-Time Consumer’s PerceptionProceedings of Integrated Intelligence Enable Networks and Computing10.1007/978-981-33-6307-6_40(391-411)Online publication date: 24-Apr-2021
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