Aggregation processes in customer rating systems - Insights from an economic decision experiment

Dirk van Straaten, Behnud Mir Djawadi, Vitalik Melnikov, Eyke Hüllermeier, René Fahr · 2026

Read Aggregation processes in customer rating systems - Insights from an economic decision experiment by Dirk van Straaten, Behnud Mir Djawadi, Vitalik Melnikov, Eyke Hüllermeier, René Fahr (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/plos-pone-0343851.txt.

Description

van Straaten and colleagues ran a decision experiment on how shoppers combine star ratings in a 2026 study. Shops online squeeze many ratings into one score, usually a plain average, to help buyers choose. Whether buyers actually think in averages was unclear.

Most shoppers in the test did rank products much as a plain average would predict. A closer look showed real variety, though. One large group weighed very bad and very good ratings about equally while ignoring the middle. Others focused mainly on bad reviews. A single score thus hides different reading habits, which matters for how platforms should show rating spreads.

Catalog record

CREATORDirk van Straaten, Behnud Mir Djawadi, Vitalik Melnikov, Eyke Hüllermeier, René Fahr
YEAR2026
COLLECTIONPAPERS
FORMATTXT
FILE SIZE97964
LICENSECC_BY
RIGHTSCC BY
SOURCEPLOS

Source: https://doi.org/10.1371/journal.pone.0343851

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