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People you may know: Friend recommendation, network formation, and online community participation

Lin Wang, Chong (Alex) Wang*, Sean Xin Xu, Fan Guo, Manzhou Li

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

Friend recommendation has become a standard design in social media platforms over the years, however, its behavioral consequences remain empirically unaddressed. In this paper, we report on a large-scale randomized field experiment carried out on KWAI. Our findings reveal that friend recommendation affects the user's egocentric network formation. It helps users build larger, more reciprocal, denser, and more diversified egocentric networks, and the effects accumulate over time. On the other hand, friend recommendation motivates users to be more active, engaging more in content contribution, content consumption, and social interaction. We leverage the causal forest method and find younger users, male users, users from big cities, users from urban areas, and users who are at the beginning of building social networks respond more favorably to friend recommendations. Our heterogeneous treatment analysis reveals critical insights for social media platforms in customizing friend recommendation functions for different user groups. © ICIS 2020. All rights reserved.
Original languageEnglish
Title of host publicationICIS 2020 Proceedings
PublisherAssociation for Information Systems
ISBN (Print)978-1-7336325-5-3
Publication statusPublished - Dec 2020
Externally publishedYes
Event2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020 - Virtual, Online, India
Duration: 13 Dec 202016 Dec 2020

Publication series

NameInternational Conference on Information Systems, ICIS - Making Digital Inclusive: Blending the Local and the Global

Conference

Conference2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020
PlaceIndia
CityVirtual, Online
Period13/12/2016/12/20

Funding

The authors would like to thank the support from the National Natural Science Foundation of China [Grant 71501168] and the Research Grants Council of the Hong Kong Special Administrative Region, China [Project No. CityU 11504815].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Research Keywords

  • Causal forest
  • Friend recommendation
  • Network formation
  • Online community participation
  • Social media platform

RGC Funding Information

  • RGC-funded

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