%0 Report %1 agosti2023exercising %A Agosti, Claudio %A Bronowicka, Joanna %A Polidoro, Alessandro %A Priori, Gaetano %C Brussels %D 2023 %K algorithmic_management labour_rights workers_rights %N 2023.11 %T Exercising workers rights in algorithmic management systems: Lessons learned from the Glovo-Foodinho digital labour platform case %U https://www.etui.org/publications/exercising-workers-rights-algorithmic-management-systems %X With the Platform Work Directive still under negotiation and the ETUC calling for an EU Directive on Algorithmic Systems at Work, groundbreaking research into the Spanish-Italian Glovo-Foodinho firm, a digital labour platform, has opened up an alternative path for workers wanting to scrutinize application and access their rights in digitalised workplaces, governed by algorithmic management. This involves closed cooperation between trade unions, reverse engineering and Data protection authorities (DPA). As illustrated in this report, the current GDPR legislative framework has proven to be both robust and flexible. The report also reveals the details of the collaboration between ETUI and a technical team of experts led by Claudio Agosti into the so-called ’black box’. It details how the algorithmic management systems used by Foodinho, an Italian subsidiary of the Spanish food delivery company Glovo, works to control its workforce, namely: 1. Tracking riders’ location outside working hours. 2. Sharing the location (both outside and during working hours), along with other personal data, with undisclosed third parties not mentioned in the app’s documentation. 3. Generating a score associated with the rider’s personal profile, a value inconsistent with the documented ‘Excellence Score’ provided by Glovo-Foodinho: a hidden score.

@techreport{agosti2023exercising, abstract = {With the Platform Work Directive still under negotiation and the ETUC calling for an EU Directive on Algorithmic Systems at Work, groundbreaking research into the Spanish-Italian Glovo-Foodinho firm, a digital labour platform, has opened up an alternative path for workers wanting to scrutinize application and access their rights in digitalised workplaces, governed by algorithmic management. This involves closed cooperation between trade unions, reverse engineering and Data protection authorities (DPA). As illustrated in this report, the current GDPR legislative framework has proven to be both robust and flexible. The report also reveals the details of the collaboration between ETUI and a technical team of experts led by Claudio Agosti into the so-called ’black box’. It details how the algorithmic management systems used by Foodinho, an Italian subsidiary of the Spanish food delivery company Glovo, works to control its workforce, namely: 1. Tracking riders’ location outside working hours. 2. Sharing the location (both outside and during working hours), along with other personal data, with undisclosed third parties not mentioned in the app’s documentation. 3. Generating a score associated with the rider’s personal profile, a value inconsistent with the documented ‘Excellence Score’ provided by Glovo-Foodinho: a hidden score.}, added-at = {2023-10-23T14:11:48.000+0200}, address = {Brussels}, author = {Agosti, Claudio and Bronowicka, Joanna and Polidoro, Alessandro and Priori, Gaetano}, biburl = {https://www.bibsonomy.org/bibtex/2c24e968dbd679076eb8cc6b84a540dbb/meneteqel}, institution = {European Trade Union Institute}, interhash = {3dbdb101f698692d6f2534de3e5a4fd6}, intrahash = {c24e968dbd679076eb8cc6b84a540dbb}, keywords = {algorithmic_management labour_rights workers_rights}, language = {en-UK}, month = oct, number = {2023.11}, timestamp = {2023-10-23T14:11:48.000+0200}, title = {Exercising workers rights in algorithmic management systems: Lessons learned from the Glovo-Foodinho digital labour platform case}, type = {Report}, url = {https://www.etui.org/publications/exercising-workers-rights-algorithmic-management-systems}, year = 2023 }