Review Argument Evaluation
For a given product, we have a set of reviews. We identify 'attacks' when two reviews disagree on the rating given to the product by using similar arguments.

The resulting argumentation graph is structured as follows:
- nodes represent reviews: green if accepted, red if rejected;
- node size represents review quality;
- edges represent attacks, the darker the arrow, the stronger the attack.

Based on how reviews attack each other, our model decides which reviews to admit (accept) and which not (reject).
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This questionnaire aims at assessing the capacity of such a graph to provide an informative explanation.
In the future, we will evaluate the informativeness of review topics, ratings, etc.
[Review 1]:  'We have used these inserts for years.  They provide great support.' (5 stars)
This is an example of accepted review for a given product, an insole (B000KPIHQ4).
How informative was review 1?
Poorly informative
Very informative
Clear selection
Below, we represent the graph of reviews of product B000KPIHQ4.  Review 1 is accepted because it is not attacked by any other reviews (while it attacks others). It is the one highlighted in the graph.
How informative is the above graph to you with respect to the decision to accept Review 1?
Poorly informative
Very informative
Clear selection
[Review 2]: 'This is my 6th pair and they are the best thing ever for my plantar fasciitis and resultant neuromas. Unfortunately, the ones I ordered from SmartDestination must be seconds as they kill my feet. The hard plastic insert rubs on the outside edges of my feet. I am unable to exchange them as I waited one day too late to use them in my walking shoes.' (2 stars)
How informative is Review 2 to you?
Poorly informative
Very Informative
Clear selection
Review 2 was rejected by our algorithm because it is attacked by several other reviews. It is the one highlighted in the graph.
How informative is the graph above with respect to the decision taken on review 2?
Poorly Informative
Very Informative
Clear selection
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