Measuring Falseness in News Articles based on Concealment and Overstatement
Jiyoung Lee, Keeheon Lee

TL;DR
This paper introduces a new measurement tool based on concealment and overstatement metrics to quantify misinformation in news articles, revealing that false news tends to be more concealed and overstated, especially in longer, complex stories.
Contribution
The study proposes a novel method to assess misinformation by quantifying concealment and overstatement, aiding in distinguishing partly true news from fully fabricated content.
Findings
False news exhibits higher concealment and overstatement.
Longer, complex stories are more prone to misinformation.
Partially false articles lack crucial details and contain redundant words.
Abstract
This research investigates the extent of misinformation in certain journalistic articles by introducing a novel measurement tool to assess the degrees of falsity. It aims to measure misinformation using two metrics (concealment and overstatement) to explore how information is interpreted as false. This should help examine how articles containing partly true and partly false information can potentially harm readers, as they are more challenging to identify than completely fabricated information. In this study, the full story provided by the fact-checking website serves as a standardized source of information for comparing differences between fake and real news. The result suggests that false news has greater concealment and overstatement, due to longer and more complex new stories being shortened and ambiguously phrased. While there are no major distinctions among categories of politics…
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Taxonomy
TopicsHate Speech and Cyberbullying Detection · Misinformation and Its Impacts
