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The Cartographer
Maximizing Neutrality in News Ordering
May 25, 2023 Β· Declared Dead Β· π Knowledge Discovery and Data Mining
"No code URL or promise found in abstract"
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Authors
Rishi Advani, Paolo Papotti, Abolfazl Asudeh
arXiv ID
2305.15790
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.CY,
cs.DM
Citations
2
Venue
Knowledge Discovery and Data Mining
Last Checked
4 months ago
Abstract
The detection of fake news has received increasing attention over the past few years, but there are more subtle ways of deceiving one's audience. In addition to the content of news stories, their presentation can also be made misleading or biased. In this work, we study the impact of the ordering of news stories on audience perception. We introduce the problems of detecting cherry-picked news orderings and maximizing neutrality in news orderings. We prove hardness results and present several algorithms for approximately solving these problems. Furthermore, we provide extensive experimental results and present evidence of potential cherry-picking in the real world.
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