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 language | English |
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| Title of host publication | ICIS 2020 Proceedings |
| Publisher | Association for Information Systems |
| ISBN (Print) | 978-1-7336325-5-3 |
| Publication status | Published - Dec 2020 |
| Externally published | Yes |
| Event | 2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020 - Virtual, Online, India Duration: 13 Dec 2020 → 16 Dec 2020 |
Publication series
| Name | International Conference on Information Systems, ICIS - Making Digital Inclusive: Blending the Local and the Global |
|---|
Conference
| Conference | 2020 International Conference on Information Systems - Making Digital Inclusive: Blending the Local and the Global, ICIS 2020 |
|---|---|
| Place | India |
| City | Virtual, Online |
| Period | 13/12/20 → 16/12/20 |
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)
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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
Fingerprint
Dive into the research topics of 'People you may know: Friend recommendation, network formation, and online community participation'. Together they form a unique fingerprint.Projects
- 1 Finished
-
GRF: Dynamic Tie Strength Structure in Online Social Networks
WANG, C. A. (Principal Investigator / Project Coordinator) & ZHANG, M. X. (Co-Investigator)
1/01/16 → 4/10/17
Project: Research
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