Analyzing Truth Discovery in Big Data Social Media Sensing Applications

MIdentifying the truthful data is difficult in the presence of noisy data contributing different sources through online social media that is facebook, twitter, whatsup and Instagram etc,., and now a days it is a crucial task in the era of big data. In this paper we are going to concentrate on the three main issues which cannot be described in the previous papers or in any literature. The "misinformation spread", "Data Sparsity", "trustworthiness". To address the above three challenges we develop scalable and Robust Trust Discovery Scheme and also a distributed framework which implements the proposed truth discovery scheme using queue in an HTCondor System in this paper. A critical challenge that exists in social media sensing is truth discovery where the goal is to identify reliable sources and truthful claims from massive noisy, unfiltered, and even conflicting social media data. . The task, referred to as truth discovery, targets at identifying the reliability of the sources and the truthfulness of claims they make without knowing either a priori.