A study on detecting misleading online news using bigram and cosine similarity
Fake news can impact negatively in terms of creating negative perception towards business, organization, and government. One of the ways that fake news is created is through deceptive news writing. Many researchers have developed approaches in detecting deceptive news conten...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Science Publishing Corporation
2018
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| Online Access: | http://psasir.upm.edu.my/id/eprint/72998/1/FAKE.pdf |
| _version_ | 1825950162043797504 |
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| author | Ishak, Iskandar Che Eembi @ Jamil, Normala Affendey, Lilly Suriani Sidi, Fatimah |
| author_facet | Ishak, Iskandar Che Eembi @ Jamil, Normala Affendey, Lilly Suriani Sidi, Fatimah |
| author_sort | Ishak, Iskandar |
| collection | UPM |
| description | Fake news can impact negatively in terms of creating negative perception towards business, organization, and government. One of the ways that fake news is created is through deceptive news writing. Many researchers have developed approaches in detecting deceptive news content using machine-learning approach and each of the approach has its own focus.Previous researches emphasis on the components of the news content such as in detecting grammar, humor, punctuation, body-dependent and body-independent features.In this paper, a new approach in detecting deceptive news based on misleading news has been developed which is focusing on the similarity between the content and its headlines using bigram and cosine similarity. Based on the experiments, the proposed approach has better performance in terms of detecting deceptive news. |
| first_indexed | 2024-03-06T10:10:24Z |
| format | Article |
| id | upm.eprints-72998 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:10:24Z |
| publishDate | 2018 |
| publisher | Science Publishing Corporation |
| record_format | dspace |
| spelling | upm.eprints-729982020-11-27T20:19:28Z http://psasir.upm.edu.my/id/eprint/72998/ A study on detecting misleading online news using bigram and cosine similarity Ishak, Iskandar Che Eembi @ Jamil, Normala Affendey, Lilly Suriani Sidi, Fatimah Fake news can impact negatively in terms of creating negative perception towards business, organization, and government. One of the ways that fake news is created is through deceptive news writing. Many researchers have developed approaches in detecting deceptive news content using machine-learning approach and each of the approach has its own focus.Previous researches emphasis on the components of the news content such as in detecting grammar, humor, punctuation, body-dependent and body-independent features.In this paper, a new approach in detecting deceptive news based on misleading news has been developed which is focusing on the similarity between the content and its headlines using bigram and cosine similarity. Based on the experiments, the proposed approach has better performance in terms of detecting deceptive news. Science Publishing Corporation 2018 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/72998/1/FAKE.pdf Ishak, Iskandar and Che Eembi @ Jamil, Normala and Affendey, Lilly Suriani and Sidi, Fatimah (2018) A study on detecting misleading online news using bigram and cosine similarity. International Journal of Engineering and Technology (UAE), 7 (4.31). 242 - 245. ISSN 2227-524X https://www.sciencepubco.com/index.php/ijet/article/view/23375/11681 10.14419/ijet.v7i4.31.23375 |
| spellingShingle | Ishak, Iskandar Che Eembi @ Jamil, Normala Affendey, Lilly Suriani Sidi, Fatimah A study on detecting misleading online news using bigram and cosine similarity |
| title | A study on detecting misleading online news using bigram and cosine similarity |
| title_full | A study on detecting misleading online news using bigram and cosine similarity |
| title_fullStr | A study on detecting misleading online news using bigram and cosine similarity |
| title_full_unstemmed | A study on detecting misleading online news using bigram and cosine similarity |
| title_short | A study on detecting misleading online news using bigram and cosine similarity |
| title_sort | study on detecting misleading online news using bigram and cosine similarity |
| url | http://psasir.upm.edu.my/id/eprint/72998/1/FAKE.pdf |
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