TY - GEN
T1 - An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms
AU - Sovrano, Francesco
AU - Lognoul, Michaël
AU - Bacchelli, Alberto
N1 - Publisher Copyright:
© 2024 Copyright held by the owner/author(s).
PY - 2024/4/14
Y1 - 2024/4/14
N2 - 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.
AB - 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.
KW - Compliance Assessment
KW - EU Regulations
KW - Explainability
KW - Online platforms
KW - Ranking Transparency
KW - Software Documentation
UR - http://www.scopus.com/inward/record.url?scp=85196354277&partnerID=8YFLogxK
U2 - 10.1145/3639475.3640112
DO - 10.1145/3639475.3640112
M3 - Conference contribution
AN - SCOPUS:85196354277
T3 - Proceedings - International Conference on Software Engineering
SP - 46
EP - 56
BT - Proceedings - 2024 ACM/IEEE 46th International Conference on Software Engineering
PB - IEEE Computer Society
T2 - 46th ACM/IEEE International Conference on Software Engineering: Software Engineering in Society, ICSE-SEIS 2024
Y2 - 14 April 2024 through 20 April 2024
ER -