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Investigating the Efficacy of Persuasive Strategies on Promoting Fair Recommendations

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Persuasive Technology (PERSUASIVE 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13213))

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Abstract

Recommender systems have become an inseparable part of our daily life, like listening to music based on recommender playlists or browsing through the recommended shopping list online. Fairness in such recommender systems has gained lots of attention considering provider and system objectives along with end-user satisfaction. However, often there are trade-offs between the objectives of different stakeholders. For instance, fairness for providers can be defined as ensuring the same exposure for all providers [7]. However, less popular providers might not satisfy users as much as widely-known providers; therefore, user satisfaction might decrease significantly. Consequently, there is a need to explore methods to promote recommendations from less-known providers more effectively. Previous studies have shown that explanations and persuasive explanations are beneficial for increasing user acceptance of recommended items. However, there has been little work investigating explanations for a fairness objective. Here, we study the effect of persuasive strategies for promoting items included for the recommender’s fairness objective in a music platform. Results show empirical evidence of higher user satisfaction for the items accompanied by explanations. Our findings could guide the user interface design of two-sided marketplaces leading to a better user satisfaction rate.

This work was partially supported by NSERC, under Discovery Grant RGPIN-2021-03521 of the second author.

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Notes

  1. 1.

    https://www.spotify.com/.

  2. 2.

    https://music.youtube.com/.

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Authors and Affiliations

  1. University of Saskatchewan, Saskatoon, SK, S7N5C9, Canada

    Seyedeh Mina Mousavifar & Julita Vassileva

Authors
  1. Seyedeh Mina Mousavifar
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  2. Julita Vassileva
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Correspondence to Seyedeh Mina Mousavifar .

Editor information

Editors and Affiliations

  1. Massey University, Auckland, New Zealand

    Nilufar Baghaei

  2. University of Saskatchewan, Saskatoon, SK, Canada

    Julita Vassileva

  3. Hamad Bin Khalifa University, Doha, Qatar

    Raian Ali

  4. University of Waterloo, Waterloo, ON, Canada

    Kiemute Oyibo

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Mousavifar, S.M., Vassileva, J. (2022). Investigating the Efficacy of Persuasive Strategies on Promoting Fair Recommendations. In: Baghaei, N., Vassileva, J., Ali, R., Oyibo, K. (eds) Persuasive Technology. PERSUASIVE 2022. Lecture Notes in Computer Science, vol 13213. Springer, Cham. https://doi.org/10.1007/978-3-030-98438-0_10

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  • DOI: https://doi.org/10.1007/978-3-030-98438-0_10

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