2026-04-13T02:13:31Zhttps://recercat.cat/oai/requestoai:recercat.cat:10230/372422025-12-13T21:25:42Zcom_2072_6col_2072_452952
RECERCAT
author
Germano, Fabrizio
author
Gómez, Vicenç
author
Le Mens, Gaël
2019-05-17T13:53:30Z2019-05-17T13:53:30Z2019
Comunicació presentada a: the 2019 World Wide Web Conference (WWW ’19), celebrat a San Francisco, Estat Units d'Amèrica, del 13 al 17 de maig de 2019.Ranking algorithms play a crucial role in online platforms ranging from search engines to recommender systems. In this paper, we identify a surprising consequence of popularity-based rankings: the fewer the items reporting a given signal, the higher the share of the overall traffic they collectively attract. This few-get-richer effect emerges in settings where there are few distinct classes of items (e.g., left-leaning news sources versus right-leaning news sources), and items are ranked based on their popularity. We demonstrate analytically that the few-get-richer effect emerges when people tend to click on top-ranked items and have heterogeneous preferences for the classes of items. Using simulations, we analyze how the strength of the effect changes with assumptions about the setting and human behavior.We also test our predictions experimentally in an online experiment with human participants. Our findings have important implications to understand the spread of misinformation.F. Germano acknowledges financial support from Grant ECO2017-89240-P (AEI/FEDER, UE) from the Spanish MINECO. G. Le Mens benefited from financial support from Ramon y Cajal Fellowship RYC-2014-15035 and Grant #AEI/FEDER UE-PSI2016-75353 from the Spanish MINECO, and ERC Consolidator Grant #772268 from the European Commission. V. Gómez is funded by the Ramon y Cajal program RYC-2015-18878 (AEI/MINECO/FSE,UE) and the María de Maeztu Units of Excellence Programme (MDM-2015-0502). The research leading to these results has received funding from “La Caixa" Banking Foundation. Data from the experiment are available at https://osf.io/nwjyf/.
This paper is published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license. Authors reserve their rights to disseminate the work on their personal and corporate Web sites with the appropriate attribution. WWW ’19, May 13–17, 2019, San Francisco, CA, USA © 2019 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC-BY 4.0 License. info:eu-repo/semantics/openAccess
The Few-get-richer: a surprising consequence of popularity-based rankings
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