The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Hustle and Brand: The Sociotechnical Shaping of Influence
Open accessAbstract
While social media platforms are often assumed to be sites of speaking, they are also important sites of knowing, where businesses use content produced by individuals in order to understand markets and make predictions and where individuals understand their own position and importance. This article considers social knowledge production in the context of influencer marketing, a growing industry in which social media users are ranked according to measures of influence and compensated for promoting products online. Working from industry press, technical documentation and interviews with tool developers, marketing professionals, and social media users, it traces the sociotechnical shaping of influence, moving from computer scientists’ optimal solutions through technical constraints and business needs to the practices of marketing professionals and individual users. In doing so, it identifies two conceptions of influence. The first is connected to celebrities and practices of branding, while the second, more novel conception is associated with less prominent social media users who make themselves and their willingness to work visible to marketers through practices I describe as hustling. While social influence is conventionally conceptualized in relation to extensive, naturally occurring networks of individuals, in this context it is evaluated in relation to much simpler networks that bring together users who may never interact directly. In this context, users understand and manipulate their influence by positioning their followers (branding) and by explicitly affiliating themselves with non-human entities such as brands and topical hashtags (hustling).
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Cites
Measuring user influence in twitter: The million follower fallacy
Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14033 · Cited by 3,022
Everyone's an influencer: quantifying influence on twitter
Bakshy, E., Hofman, J. M., Mason, W. A., & Watts, D. J. (2011) · Proceedings of the fourth ACM international conference on Web search and data mining · doi:10.1145/1935826.1935845 · Cited by 1,689
Haveliwala, T. H. (2002) · Proceedings of the 11th international conference on World Wide Web · doi:10.1145/511446.511513 · Cited by 1,567
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Instagram travel influencers in #quarantine: Communicative practices and roles during COVID-19
Femenia-Serra, F., Gretzel, U., & Alzua-Sorzabal, A. (2022) · Tourism Management · doi:10.1016/j.tourman.2021.104454 · Cited by 140
Influencer Marketing for Tourism Destinations: Lessons from a Mature Destination
Femenia-Serra, F., & Gretzel, U. (2020) · Information and Communication Technologies in Tourism 2020 · doi:10.1007/978-3-030-36737-4_6 · Cited by 118
Who to Trust on Social Media: How Opinion Leaders and Seekers Avoid Disinformation and Echo Chambers
Dubois, E., Minaeian, S., Paquet-Labelle, A., & Beaudry, S. (2020) · Social Media + Society · doi:10.1177/2056305120913993 · Cited by 105
Saini, H., Kumar, P., & Oberoi, S. (2023) · Cogent Social Sciences · doi:10.1080/23311886.2023.2240055 · Cited by 51
How does travel social media influencer humour influence viewers’ visit intention?
Li, F. (., & Zhou, Z. (2024) · Current Issues in Tourism · doi:10.1080/13683500.2023.2291114 · Cited by 39
Metadata
- Authors
- Carter, D.
- Venue
- Social Media + Society
- Publisher
- SAGE Publications
- Published
- 2016-07
- Volume
- 2
- Issue
- 3
- ISSN
- 2056-3051 (ISSN-L)
- OpenAlex
- W2516989005
- Cited by
- 174
- References
- 3
- FWCI
- 22.87
- Type
- journal article
- Language
- en
- Open access
- gold
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