A Systematic Review on the Profiling of Digital News Portal for Big Data Veracity

Abstract Currently, digital news portals have been one of the most important news sources for Internet users. However, the way it is written depends on the direction of the content. One approach to news reporting is through manipulative writing. Such method of writing has created a number of adverse outcomes such as political unrest, slander and negative perception towards the particular organization, personnel, and country. It is important for readers to choose and select news portal that is reporting positively and to neglect portals which practices manipulative writing approach for their own gains or causing negative impact towards the community. The aim of this study is to structure and analyzed the literature related to data veracity research that can be used to the profile of digital news portal. The method that has been used in this paper is to classify and define data veracity; a systematic literature review is a conduct. It includes journal and conference proceedings. The results come out with objectives in data veracity, the structure of research topics, research trends with publications and framework veracity model validated. This paper provides a complete review of literature related to profiling digital news portal in data veracity.

[1]  B. Hilbig.  How framing statistical statements affects subjective veracity: Validation and application of a multinomial model for judgments of truth , 2012, Cognition.

[2]  Taşkın Dirsehan,et al.  Profiling online consumers according to their experiences with a special focus on social dimension , 2011 .

[3]  Lyn M. Van Swol,et al.  Communicating Deception: Differences in Language Use, Justifications, and Questions for Lies, Omissions, and Truths , 2014 .

[4]  Teruo Higashino,et al.  Twitter user profiling based on text and community mining for market analysis , 2013, Knowl. Based Syst..

[5]  Alberto Caballero,et al.  OntoSakai: On the optimization of a Learning Management System using semantics and user profiling , 2015, Expert Syst. Appl..

[6]  Timothy R. Levine,et al.  Accuracy in detecting truths and lies: Documenting the “veracity effect” , 1999 .

[7]  Victoria L. Rubin,et al.  Veracity Roadmap: Is Big Data Objective, Truthful and Credible? , 2014 .

[8]  Pearl Brereton,et al.  Systematic literature reviews in software engineering - A systematic literature review , 2009, Inf. Softw. Technol..

[9]  Kai Petersen,et al.  Systematic Mapping Studies in Software Engineering , 2008, EASE.

[10]  Stefanie Rinderle-Ma,et al.  A systematic review on security in Process-Aware Information Systems - Constitution, challenges, and future directions , 2014, Inf. Softw. Technol..

[11]  J. Nunamaker,et al.  Automating Linguistics-Based Cues for Detecting Deception in Text-Based Asynchronous Computer-Mediated Communications , 2004 .

[12]  Rick L. Wilson,et al.  Decision support for determining veracity via linguistic-based cues , 2009, Decis. Support Syst..

[13]  John A. Banas,et al.  Norms, expectations, and deception: A norm violation model of veracity judgments , 2000 .

[14]  Michel van de Velden,et al.  Online profiling and clustering of Facebook users , 2015, Decis. Support Syst..

[15]  Hanjoon Michael Jung,et al.  Information Manipulation Through the Media , 2009 .

[16]  Jay F. Nunamaker,et al.  Detecting Deception through Linguistic Analysis , 2003, ISI.

[17]  Rachel Greenstadt,et al.  Detecting Hoaxes, Frauds, and Deception in Writing Style Online , 2012, 2012 IEEE Symposium on Security and Privacy.

[18]  Sven G. Bilen,et al.  Increasing the veracity of event detection on social media networks through user trust modeling , 2014, 2014 IEEE International Conference on Big Data (Big Data).

[19]  Jeffrey T. Hancock,et al.  What Are Emotion Expressions For ? , 2011 .

[20]  J. Yuille,et al.  Assessing the credibility of true and false statements. , 1995, International journal of law and psychiatry.

[21]  Patricia Carlson,et al.  A Review of MIS Research and Disciplinary Development , 1992, J. Manag. Inf. Syst..

[22]  Barbara Kitchenham,et al.  Procedures for Performing Systematic Reviews , 2004 .

[23]  Roy Wendler,et al.  The maturity of maturity model research: A systematic mapping study , 2012, Inf. Softw. Technol..

[24]  J. Froyd,et al.  Systematic Literature Reviews in Engineering Education and Other Developing Interdisciplinary Fields , 2014 .