{'fraction_non_alphanumeric': 0.015248401377274963, 'fraction_numerical': 0.0, 'mean_word_length': 5.316770186335404, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Legal Means to Minimize the Negative Social Impact of Digital Taxi Platforms

The goal is to develop recommendations on legal means to minimize the negative impact of digital taxi platforms on social relations. The authors use the methods of a comparative analysis of the theoretical concepts of taxi aggregators, generalization of viewpoints, development of own idea of the concept, formulation of the problem of their legal status and development of its solution, an analysis of the studies identifying the negative characteristics of taxi aggregators, classification of them, review of proposals for the regulation of the negative aspects, modeling the own system of legal regulation of taxi aggregators aimed at minimizing the main areas of their negative social impact. The authors come to the following results. The owners of aggregators do not only provide information services to drivers, but also organize taxi services, regulate, and control them. The authors propose not to restrict the freedom to choose the legal model of the contractual relationship between the driver, his partner company, and the aggregator. The main negative areas of the taxi aggregators’ social impact are the status of drivers, consumers, and all members of society as road users. The authors offer to develop legal regulation of taxi aggregators based on the model of self-regulatory organizations. It includes the regulation at the participants’ level, the particular control systems used by the aggregator, the particular distributing responsibility scheme, special mechanisms that ensure the real application of liability. The authors propose to limit the use of artificial intelligence for making socially negative decisions by a taxi aggregator and a simplified appeal of these decisions with the presumption of their illegality. This is a first investigation of the topic where a comprehensive approach to solving the problem of minimizing the negative social impact of taxi aggregators is proposed, and a set of new measures is developed.