{'fraction_non_alphanumeric': 0.019543973941368076, 'fraction_numerical': 0.004343105320304018, 'mean_word_length': 5.272108843537415, '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}}
Understanding Social Machines

This framework introduced in this paper aims to reflect the characteristics that social machines have been described to have. The framework uses a mixed methods approach underpinned by social theory to provide a detailed and rich understanding of the socio-technical nature of a social machine. The strength of this lies in the diversity of the data being used; whilst the quantitative approach can provide mathematical rigor to the structure and properties of the networks and appreciate its scale, the qualitative approach seeks to examine the `social relations' [12], and the context to how the social machine is enabling humans and technologies to interact and shape each other. Like many studies using empirical-based research [10], this framework takes advantage of the complementary nature that mixed methods offers, and pushes it further by using an analytical socio-technical lens.