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