Transparent assessment of information quality of online reviews using formal argumentation theory

作者:

Highlights:

• We introduce a rating system and a weighted semantics to reason on review arguments.

• We introduce an algorithm to construct an argumentation graph of a set of reviews.

• We provide an algorithm to identify the model of an argumentation graph of reviews.

• We crowdsource a multidimensional assessment of reviews by deepening our evaluation.

• We show that our method is useful to explain the results obtained.

摘要

•We introduce a rating system and a weighted semantics to reason on review arguments.•We introduce an algorithm to construct an argumentation graph of a set of reviews.•We provide an algorithm to identify the model of an argumentation graph of reviews.•We crowdsource a multidimensional assessment of reviews by deepening our evaluation.•We show that our method is useful to explain the results obtained.

论文关键词:Argumentation reasoning,Information quality,Online reviews

论文评审过程:Received 29 October 2021, Revised 9 July 2022, Accepted 22 July 2022, Available online 29 July 2022, Version of Record 12 August 2022.

论文官网地址:https://doi.org/10.1016/j.is.2022.102107