(University of Eloued جامعة الوادي, 2022-01-24) benabderrahmane, MOUTASSEM; laouni, DJAFRI; GAAFOUR, Abdel-Kader
Today, the Internet has become the main source of information, a
place where there are no restrictions on who can share information .This latter
can play an important role in prediction, estimation and decision making
processes. But, this role will not only be achieved through abundance, it will
also be the result of data quality. Veracity refers to the assurance of quality
or credibility of the data collected. The data can be incomplete, biased, vague
or wrong. For this reason, automatic filtering mechanism has been developed.
Moreover, due to the increasing velocity of information spread, manual assessment
of information veracity became hard, a time consuming process and
even the already existing automatic filtering mechanisms has to be improved to
cope with the speed of information spread. In this paper, a literature review is
established to highlight the recent methods and techniques which are exploited
in computerized veracity assessment. The challenges and limitations of existing
works will be discussed, and future research directions will be proposed to
address critical issues of data veracity in the era of big data.
