{'fraction_non_alphanumeric': 0.014844804318488529, 'fraction_numerical': 0.0, 'mean_word_length': 5.396551724137931, '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}}
What does your profile really say about you?: privacy warning systems and self-disclosure in online social network spaces

This paper reports current progress on the design and initial evaluation of an innovative privacy feedback system aimed to provide social network users with tailor-made feedback about their identity exposure online. Preliminary results suggest our feedback system, based on a research driven model of identity, appears to reduce the amount of information individuals disclose about themselves in social network spaces. We discuss the impact of our feedback system on the way individuals share information online, as well as suggestions for a more fine-grained evaluation and future development of this feedback system.