{'fraction_non_alphanumeric': 0.015444015444015444, 'fraction_numerical': 0.007722007722007722, 'mean_word_length': 6.151724137931034, '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}}
First International Workshop on User Interfaces for Crowdsourcing and Human Computation

Recent years witnessed an explosion in the number and variety of data crowdsourcing initiatives. From OpenStreetMap to Amazon Mechanical Turk, developers and practitioners have been striving to create user interfaces able to effectively and efficiently support the creation, exploration, and analysis of crowdsourced information. The extensive usage of crowdsourcing techniques brings a major change of paradigm with respect to traditional user interface for data collection and exploration, as effectiveness, speed, and interaction quality concerns play a central role in supporting very demanding incentives, including monetary ones. The First International Workshop on User Interfaces for Crowdsourcing and Human Computation (CrowdUI 2014), co-located with the AVI 2014 conference, brought together researchers and practitioners from a wide range of areas interested in discussing the user interaction challenges posed by crowdsourcing systems.