Compliance with the European Union's Platform-to-Business (P2B) Regulation helps fostering a fair, ethical and secure online environment. However, it is challenging for online platforms, and assessing their compliance can be difficult for public authorities. This is partly due to the lack of automated tools for assessing the information (e.g., software documentation) platforms provide concerning ranking transparency. Our study tackles this issue in two ways. First, we empirically evaluate the compliance of six major platforms (Amazon, Bing, Booking, Google, Tripadvisor, and Yahoo), revealing substantial differences in their documentation. Second, we introduce and test automated compliance assessment tools based on ChatGPT and information retrieval technology. These tools are evaluated against human judgments, showing promising results as reliable proxies for compliance assessments. Our findings could help enhance regulatory compliance and align with the United Nations Sustainable Development Goal 10.3, which seeks to reduce inequality, including business disparities, on these platforms. Data and materials: https://doi.org/10.5281/zenodo.10478546.

Sovrano, F., Lognoul, M., Bacchelli, A. (2024). An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms. 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES : IEEE Computer Society [10.1145/3639475.3640112].

An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms

Sovrano, Francesco
;
2024

Abstract

Compliance with the European Union's Platform-to-Business (P2B) Regulation helps fostering a fair, ethical and secure online environment. However, it is challenging for online platforms, and assessing their compliance can be difficult for public authorities. This is partly due to the lack of automated tools for assessing the information (e.g., software documentation) platforms provide concerning ranking transparency. Our study tackles this issue in two ways. First, we empirically evaluate the compliance of six major platforms (Amazon, Bing, Booking, Google, Tripadvisor, and Yahoo), revealing substantial differences in their documentation. Second, we introduce and test automated compliance assessment tools based on ChatGPT and information retrieval technology. These tools are evaluated against human judgments, showing promising results as reliable proxies for compliance assessments. Our findings could help enhance regulatory compliance and align with the United Nations Sustainable Development Goal 10.3, which seeks to reduce inequality, including business disparities, on these platforms. Data and materials: https://doi.org/10.5281/zenodo.10478546.
2024
Proceedings - International Conference on Software Engineering
46
56
Sovrano, F., Lognoul, M., Bacchelli, A. (2024). An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms. 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES : IEEE Computer Society [10.1145/3639475.3640112].
Sovrano, Francesco; Lognoul, Michaël; Bacchelli, Alberto
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1027994
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
social impact