PUBLIC TRACES

AMAZON 2023 · COMPLETED RESEARCH

Inspect the public-trace footprint.

Explore Gijs Overgoor and coauthors’ completed analysis of the Amazon Reviews 2023 archive, collected by McAuley Lab at UC San Diego. Every setting below opens saved research results.

Source: McAuley Lab’s Amazon Reviews 2023 dataset on Hugging Face ↗

Original research · recorded results

SELECTED RESEARCH SCOPE

All five-star reviews

January 1–September 14, 2023 · full-release archive audit

Cohort entry count 10Minimum burst 5 reviews

The complete procedure includes all five-star reviews in the audit period, whether or not the purchase was marked verified.

L0 · REVIEW FOOTPRINT43.4%

Cohort-authored reviews

6,953,460 reviews

Any five-star review by a cohort member.
L1 · REVIEW FOOTPRINT23.5%

Reviews in cohort bursts

3,770,922 reviews

Cohort-authored reviews with the selected minimum number of cohort reviews on the same product within 28 days before or after the review date.
L2 · REVIEW FOOTPRINT17.9%

Reviews by recurring burst authors

2,871,510 reviews

Reviews in cohort bursts whose author appears in qualifying bursts on at least two distinct products.
OVERALL DENOMINATOR16,035,782

Five-star reviews

Used for the overall, entry-count, and ordering results. Categories use their own denominators.

Jan 1–Sep 14, 2023

L0, L1, and L2 are nested footprints of public review structure. They are not additive and do not estimate confirmed fraud or an individual account’s fraud probability.

COHORT ENTRY COUNT

How the footprint changes.

7 completed settings

The review scope and minimum burst size stay as selected above. Each row shows a saved result for a different cohort entry count.

Review footprint at seven cohort entry counts, within the selected scope and burst size
Entry countL0 shareL1 shareL2 share
279.9%47.0%31.7%
566.2%37.9%26.9%
10Selected43.4%23.5%17.9%
1410.9%5.1%4.9%
187.0%2.8%2.7%
205.3%1.9%1.9%
301.4%0.2%0.2%

L0: reviews authored by the cohort. L1: cohort reviews in bursts. L2: cohort-burst reviews by recurring authors. Bars use the same 0–100% scale.

ACROSS PRODUCT CATEGORIES

The footprint by category.

34 categories

Alphabetical categories from the completed analysis. Each row uses its own five-star review denominator, under all five-star reviews.

Category footprints at cohort entry count 10 and minimum burst size 5
CategoryFive-star reviewsL0 shareL1 shareL2 share
All Beauty8,37538.5%3,222 reviews10.2%856 reviews7.7%647 reviews
Amazon Fashion20,48640.0%8,197 reviews11.2%2,299 reviews8.9%1,832 reviews
Appliances79,03036.2%28,596 reviews16.8%13,249 reviews12.9%10,221 reviews
Arts Crafts and Sewing313,70138.2%119,778 reviews12.1%38,091 reviews11.1%34,748 reviews
Automotive691,41533.2%229,519 reviews11.7%80,797 reviews9.2%63,762 reviews
Baby Products164,88743.8%72,242 reviews23.6%38,866 reviews20.3%33,438 reviews
Beauty and Personal Care1,025,18648.2%493,957 reviews29.5%302,750 reviews22.4%229,794 reviews
Books471,63729.6%139,373 reviews8.9%41,750 reviews7.2%34,111 reviews
CDs and Vinyl36,31225.8%9,385 reviews1.4%510 reviews1.1%417 reviews
Cell Phones and Accessories589,59246.4%273,555 reviews30.1%177,623 reviews20.7%122,257 reviews
Clothing Shoes and Jewelry2,266,90143.2%979,556 reviews23.7%537,553 reviews18.0%408,421 reviews
Digital Music2,89021.9%634 reviews0.2%6 reviews0.2%6 reviews
Electronics1,176,22547.9%563,433 reviews32.3%380,150 reviews21.2%249,498 reviews
Gift Cards4,74579.5%3,774 reviews71.1%3,373 reviews52.3%2,484 reviews
Grocery and Gourmet Food467,46142.4%198,244 reviews21.0%97,966 reviews16.6%77,440 reviews
Handmade Products35,21231.9%11,220 reviews9.4%3,321 reviews8.1%2,846 reviews
Health and Household963,35550.0%481,349 reviews33.0%317,515 reviews23.6%227,643 reviews
Health and Personal Care6,59338.6%2,544 reviews10.0%660 reviews9.2%606 reviews
Home and Kitchen2,530,52545.5%1,151,358 reviews25.9%654,170 reviews20.2%509,910 reviews
Industrial and Scientific183,76141.3%75,879 reviews18.4%33,823 reviews16.1%29,531 reviews
Kindle Store487,89144.6%217,487 reviews24.5%119,361 reviews20.9%101,972 reviews
Magazine Subscriptions14254.2%77 reviews0.0%0 reviews0.0%0 reviews
Movies and TV135,27837.1%50,151 reviews11.9%16,083 reviews7.9%10,718 reviews
Musical Instruments83,42234.7%28,943 reviews12.8%10,684 reviews10.9%9,099 reviews
Office Products439,41242.5%186,619 reviews19.7%86,615 reviews16.9%74,191 reviews
Patio Lawn and Garden583,75238.1%222,142 reviews18.0%105,341 reviews14.3%83,664 reviews
Pet Supplies590,71448.3%285,221 reviews32.1%189,343 reviews22.6%133,335 reviews
Software15,73130.9%4,863 reviews20.2%3,180 reviews10.1%1,593 reviews
Sports and Outdoors514,55140.0%205,684 reviews18.5%95,195 reviews14.3%73,456 reviews
Subscription Boxes25323.7%60 reviews0.0%0 reviews0.0%0 reviews
Tools and Home Improvement980,46143.7%428,060 reviews22.7%222,611 reviews18.3%179,644 reviews
Toys and Games571,98641.8%239,156 reviews17.4%99,328 reviews15.7%90,056 reviews
Unknown487,99539.7%193,703 reviews15.1%73,918 reviews11.3%55,028 reviews
Video Games105,90542.9%45,479 reviews22.6%23,935 reviews18.1%19,142 reviews

SEARCH ORDER

Variation across completed orderings.

3 recorded orderings

The research repeated the session ordering three times at cohort entry count 10 and minimum burst size 5. These are the observed ranges across those runs, not confidence intervals.

L0 share43.3454%–43.3880%
L1 share23.5102%–23.5369%
L2 share17.8894%–17.9078%
Inspect each completed ordering
OrderingL0 shareL1 shareL2 share
1 · seed 6100043.3622%23.5157%17.9069%
2 · seed 6200043.3880%23.5369%17.9078%
3 · seed 6300043.3454%23.5102%17.8894%

RESEARCH AND DATA

Explore the findings and the research behind them.

Source archive: McAuley Lab’s Amazon Reviews 2023 on Hugging Face ↗. The release contains reviews from multiple years. The reported audit uses reviews dated January 1–September 14, 2023 across all 34 release categories, including Unknown.

Analysis: Gijs Overgoor and coauthors applied the paper’s method to that archive to calculate the findings shown here. The earlier 2019–2020 campaign dataset is a separate public resource:

Public research dataset ↗

These are the paper’s existing archive results. This site does not accept online contributions or provide account-level historical membership checks. Use the investigator to collect and export a case locally.