Amazon Analysis

An Amazon Overview: how readers consider the Addiction

Introduction

In parallel with the Google analysis we moved ahead with analysing the Amazon results both for the query Internet Addiction and Digital Addiction, to better understand how people relates to the problem. We chose Amazon as research platform because of its kind of users, which look for specific books. We tried to map the most searched and bought ones for each query. Once put together and cleaned, the results have been sorted by year: Internet Addiction has been discussed since 1998 to 2014 and increased constantly especially in the last year, while Digital Addiction is a more recent topic, started in 2011 and grown fast. This confirms, together with the Google Trend and the Corpus analysis, that Digital Addiction is a newer keyword research (see the image below).



In the next step we tried to understand if some authors write more frequently about each topic of our queries. Any author with two or more publications has been considered and one of the most influent one found is Kimberly Young (Psychologist expert in Internet Addiction Disorder and Online Behaviour, who first found a clinic to cure the addiction) showing eight publications. The second in order of importance is Werling (an e-book publishing house focused on Internet Addiction) with four results (see the image below).


How to read the visualization

The visualisation shows the results for each query, represented by external circles (more for Internet Addiction which has a number of results four times bigger than Internet Addiction). Inside the circles is added the exact quantity of the books for the query, represented by smaller coloured circles (83/200 for Internet Addiction, in green; 16/200 for Digital Addiction, in purple). The grey circle refers to all books considered for the analysis, which are the first 200 coming up for each query. The lower bars show how the results influence the total, divided between medical and non-medical books. Consequently, medical and non-medical category are divided in other categories specifying the typology of the book considered (Essay, manual and narrative). The very last bar shows how many results are Self-Help related and explain how to cure Internet Addiction by yourself.

How it has been done

Data have been taken from Amazon using the incognito navigation without being logged in. They have been extracted using Kimono and manually cleaned. Once completed the dataset with all the related tags, Raw has been used to have a visual idea of the quantity proportions. Once exported the .svg the visualisation has been modified on Illustrator.

Findings

Generally, the problem is not really discussed between the online readers, mainly because of the growing interest emerged only in the past years. Interesting is the quantity of results about Self-help (almost 50%) for both queries. Considering the position of the word “detox” in the Scatterplot, we understand how the self-help gets importance inside the phenomenon,
comparing it more to a cigarette addiction rather than a mental disease.

Metadata

Timestamp: 20/11/2014 - 15/12/2014

Data source: Amazon

Related Protocol

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