{'fraction_non_alphanumeric': 0.023121387283236993, 'fraction_numerical': 0.0, 'mean_word_length': 5.185714285714286, '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}}
Trust model for privacy in social networking using probabilistic determination

With the advancement in the technology, this era of Internet has witnessed a bloom in the Social Networking sites popularity. Social Networking sites facilitate the users with features like sharing personal information, making friends, developing new relationships, giving rise to new privacy concerns, etc., allowing only reliable people in one's network. Here comes in the concept of `Trust'. How can we assure that a person is trustworthy and what factors account to build the trust between two persons, known or unknown to each other? This requires an exploratory insight into users' intention to share information. This paper aims to understand the factors of trust, trust levels based on trust ratings from others and probability of accepting the other person in his/her network.