Publication: Individual Fairness for Social Media Influencers
Individual Fairness for Social Media Influencers
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Ionescu, S., Pagan, N., & Hannak, A. (2023). Individual Fairness for Social Media Influencers. In C. Hocine, M. Rosario Nunzio, R. Luis M, C. Chantal, & M. Salvatore (Eds.), Complex Networks and Their Applications XI (No. 1077; Issue 1077, pp. 162–175). Springer. https://doi.org/10.1007/978-3-031-21127-0_14
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Nowadays, many social media platforms are centered around content creators (CC). On these platforms, the tie formation process depends on two factors: (a) the exposure of users to CCs (decided by, e.g., a recommender system), and (b) the following decision-making process of users. Recent research studies underlined the importance of content quality by showing that under exploratory recommendation strategies, the network eventually converges to a state where the higher the quality of the CC, the higher their expected number of follower
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Citations
Ionescu, S., Pagan, N., & Hannak, A. (2023). Individual Fairness for Social Media Influencers. In C. Hocine, M. Rosario Nunzio, R. Luis M, C. Chantal, & M. Salvatore (Eds.), Complex Networks and Their Applications XI (No. 1077; Issue 1077, pp. 162–175). Springer. https://doi.org/10.1007/978-3-031-21127-0_14