# ControversialQA: Exploring Controversy in Question Answering

Source: [ControversialQA: Exploring Controversy in Question Answering](<https://www.sota2.com/research/paper/68fa6e8e1e209131cea4094f>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T01:00:51.913Z

Authors: Zhen Wang, Peide Zhu, Jie Yang

Published: 2023-02-10T05:39:29.000Z

## Abstract

Controversy is widespread online. Previous studies mainly define controversy based on vague assumptions of its relation to sentiment such as hate speech and offensive words. This paper introduces the first question-answering dataset that defines content controversy by user perception, i.e., votes from plenty of users. It contains nearly 10K questions, and each question has a best answer and a most controversial answer. Experimental results reveal that controversy detection in question answering is essential and challenging, and there is no strong correlation between controversy and sentiment tasks.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2302.05061>)

[PDF](<https://arxiv.org/pdf/2302.05061.pdf>)