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Title:
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ASSESSING THE INCONSISTENCY IN ONLINE NEWS |
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Author(s):
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Honour Chika Nwagwu, Guy Pascal Kibuh, Hyacinth Agozie Eneh and Stanley Abhadiomhen |
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ISBN:
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978-989-8704-34-4 |
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Editors:
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Pedro Isaías and Hans Weghorn |
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Year:
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2021 |
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Edition:
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Single |
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Type:
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Full |
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First Page:
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195 |
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Last Page:
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200 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The information on the web can be inconsistent across different web pages. News articles are examples of information on
the web that are inconsistent and this paper proposes an approach that enables the visual analysis of inconsistencies in
online news. It presents an approach which will enable the visual identification of inconsistencies associated to a news
headline of interest. It uses a visual assessment approach that relies on two techniques, namely Fault Tolerance and
Co-occurrence techniques. The Fault Tolerance technique is used in extracting related news headlines on the internet
while the Co-occurrence technique is used for grouping and scaling related news headlines on the web. Also the bar-chart
is used to plot charts that summaries the inconsistencies from which news readers can visually assess related news
headlines of particular context. |
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