Fakeheader: a tool to detect deceptive online news based on misleading news headlines and contents
Online news has been the primary source of news content for newsreaders. Unfortunately, based on several findings, readers tend to judge on specific events based on the news headlines rather than its contents. With the advancement of mobile and web technologies, it is easier to spread the news to ot...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Ninety Nine Publication
2021
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Online Access: | http://psasir.upm.edu.my/id/eprint/97297/1/out.pdf |
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author | Che Eembi @ Jamil, Normala Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani |
author_facet | Che Eembi @ Jamil, Normala Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani |
author_sort | Che Eembi @ Jamil, Normala |
collection | UPM |
description | Online news has been the primary source of news content for newsreaders. Unfortunately, based on several findings, readers tend to judge on specific events based on the news headlines rather than its contents. With the advancement of mobile and web technologies, it is easier to spread the news to others with these unhealthy habits that can cause negative impacts on individuals, organizations, or nations that are victimized by the news. In the proposed work, a tool to detect deceptive news based on misleading headlines or content is developed. The tools incorporate data veracity framework for online news with Support Vector Machine and proposed combination of features. The experimental results show the proposed tool managed to produce high performance results with more than 90% precisions and recalls. |
first_indexed | 2025-02-19T02:47:19Z |
format | Article |
id | upm.eprints-97297 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2025-02-19T02:47:19Z |
publishDate | 2021 |
publisher | Ninety Nine Publication |
record_format | dspace |
spelling | upm.eprints-972972024-12-10T07:27:50Z http://psasir.upm.edu.my/id/eprint/97297/ Fakeheader: a tool to detect deceptive online news based on misleading news headlines and contents Che Eembi @ Jamil, Normala Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani Online news has been the primary source of news content for newsreaders. Unfortunately, based on several findings, readers tend to judge on specific events based on the news headlines rather than its contents. With the advancement of mobile and web technologies, it is easier to spread the news to others with these unhealthy habits that can cause negative impacts on individuals, organizations, or nations that are victimized by the news. In the proposed work, a tool to detect deceptive news based on misleading headlines or content is developed. The tools incorporate data veracity framework for online news with Support Vector Machine and proposed combination of features. The experimental results show the proposed tool managed to produce high performance results with more than 90% precisions and recalls. Ninety Nine Publication 2021-04-05 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/97297/1/out.pdf Che Eembi @ Jamil, Normala and Ishak, Iskandar and Sidi, Fatimah and Affendey, Lilly Suriani (2021) Fakeheader: a tool to detect deceptive online news based on misleading news headlines and contents. Turkish Journal of Computer and Mathematics Education, 12 (3). pp. 2217-2223. ISSN 3048-4855 https://turcomat.org/index.php/turkbilmat |
spellingShingle | Che Eembi @ Jamil, Normala Ishak, Iskandar Sidi, Fatimah Affendey, Lilly Suriani Fakeheader: a tool to detect deceptive online news based on misleading news headlines and contents |
title | Fakeheader: a tool to detect deceptive online news based on misleading news headlines and contents |
title_full | Fakeheader: a tool to detect deceptive online news based on misleading news headlines and contents |
title_fullStr | Fakeheader: a tool to detect deceptive online news based on misleading news headlines and contents |
title_full_unstemmed | Fakeheader: a tool to detect deceptive online news based on misleading news headlines and contents |
title_short | Fakeheader: a tool to detect deceptive online news based on misleading news headlines and contents |
title_sort | fakeheader a tool to detect deceptive online news based on misleading news headlines and contents |
url | http://psasir.upm.edu.my/id/eprint/97297/1/out.pdf |
work_keys_str_mv | AT cheeembijamilnormala fakeheaderatooltodetectdeceptiveonlinenewsbasedonmisleadingnewsheadlinesandcontents AT ishakiskandar fakeheaderatooltodetectdeceptiveonlinenewsbasedonmisleadingnewsheadlinesandcontents AT sidifatimah fakeheaderatooltodetectdeceptiveonlinenewsbasedonmisleadingnewsheadlinesandcontents AT affendeylillysuriani fakeheaderatooltodetectdeceptiveonlinenewsbasedonmisleadingnewsheadlinesandcontents |