A systematic review on the profiling of digital news portal for big data veracity
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 outcom...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/43037/1/A%20Systematic%20Review%20on%20the%20Profiling%20of%20Digital%20News%20Portal%20for%20Big%20Data%20Veracity.pdf |
| _version_ | 1796974260533592064 |
|---|---|
| author | Che Eembi @ Jamil, Normala Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani Mamat, Ali |
| author_facet | Che Eembi @ Jamil, Normala Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani Mamat, Ali |
| author_sort | Che Eembi @ Jamil, Normala |
| collection | UPM |
| description | 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.
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| first_indexed | 2024-03-06T08:54:28Z |
| format | Article |
| id | upm.eprints-43037 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:54:28Z |
| publishDate | 2015 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | upm.eprints-430372016-05-04T03:09:35Z http://psasir.upm.edu.my/id/eprint/43037/ A systematic review on the profiling of digital news portal for big data veracity Che Eembi @ Jamil, Normala Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani Mamat, Ali 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. Elsevier 2015 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/43037/1/A%20Systematic%20Review%20on%20the%20Profiling%20of%20Digital%20News%20Portal%20for%20Big%20Data%20Veracity.pdf Che Eembi @ Jamil, Normala and Ishak, Iskandar and Sidi, Fatimah and Affendey, Lilly Suriani and Mamat, Ali (2015) A systematic review on the profiling of digital news portal for big data veracity. Procedia Computer Science, 72. pp. 390-397. ISSN 1877-0509 http://www.sciencedirect.com/science/article/pii/S1877050915036157 10.1016/j.procs.2015.12.154 |
| spellingShingle | Che Eembi @ Jamil, Normala Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani Mamat, Ali A systematic review on the profiling of digital news portal for big data veracity |
| title | A systematic review on the profiling of digital news portal
for big data veracity |
| title_full | A systematic review on the profiling of digital news portal
for big data veracity |
| title_fullStr | A systematic review on the profiling of digital news portal
for big data veracity |
| title_full_unstemmed | A systematic review on the profiling of digital news portal
for big data veracity |
| title_short | A systematic review on the profiling of digital news portal
for big data veracity |
| title_sort | systematic review on the profiling of digital news portal for big data veracity |
| url | http://psasir.upm.edu.my/id/eprint/43037/1/A%20Systematic%20Review%20on%20the%20Profiling%20of%20Digital%20News%20Portal%20for%20Big%20Data%20Veracity.pdf |
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