MithraDetective: A System for Cherry-picked Trendlines Detection

Given a data set, misleading conclusions can be drawn from it by cherry-picking selected samples. One important class of conclusions is a trend derived from a data set of values over time. Our goal is to evaluate whether the 'trends' described by the extracted samples are representative of...

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Published in:arXiv.org 2020-10
Main Authors: Nagafuchi, Yoko, Lin, Yin, Mamgain, Kaushal, Asudeh, Abolfazl, Jagadish, H V, You, Wu, Yu, Cong
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Language:English
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Datasets
Trends
Visual tasks
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creator Nagafuchi, Yoko
Lin, Yin
Mamgain, Kaushal
Asudeh, Abolfazl
Jagadish, H V
You
Wu
Yu, Cong
description Given a data set, misleading conclusions can be drawn from it by cherry-picking selected samples. One important class of conclusions is a trend derived from a data set of values over time. Our goal is to evaluate whether the 'trends' described by the extracted samples are representative of the true situation represented in the data. We demonstrate MithraDetective, a system to compute a support score to indicate how cherry-picked a statement is; that is, whether the reported trend is well-supported by the data. The system can also be used to discover more supported alternatives. MithraDetective provides an interactive visual interface for both tasks.
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subjects Datasets
Trends
Visual tasks
title MithraDetective: A System for Cherry-picked Trendlines Detection
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