Maximizing Neutrality in News Ordering
- URL: http://arxiv.org/abs/2305.15790v2
- Date: Sat, 27 May 2023 04:43:02 GMT
- Title: Maximizing Neutrality in News Ordering
- Authors: Rishi Advani, Paolo Papotti, Abolfazl Asudeh
- Abstract summary: 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 provide extensive experimental results and present evidence of potential cherry-picking in the real world.
- Score: 13.017513418036573
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- 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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