I apologise profusely for the terrible pun that is the title of this blog post. I like statistical analysis and have been looking forward to this point for a few weeks. Firstly, some boring stuff that you should know. All analysis for this blog post was completed using SPSS version 22. The data was collected from a revenge pornography website over 28 days using a custom built webscraper utilising python, selenium Webdriver. The data was stored in an SQL database. Initial data analysis was undertaken using Excel 2010 and is detailed in previous blog posts.
Data collection was 97.27% successful, with a failure rate of 2.73%. Reasons for the failure for the Webscraper to run successfully are varied and dependant on different factors.
Descriptive Statistics
The table below details how many posts remained current or were removed over the full data collection period. This has been split by the gender of the person depicted in the material posted.
Gender |
Post Status |
Count |
% |
Male |
Removed |
5 |
1.3 |
|
Current |
13 |
3.3 |
Totals |
|
18 |
4.6 |
Female |
Removed |
121 |
30.6 |
|
Current |
257 |
64.9 |
Totals |
|
378 |
95.5 |
All |
Removed |
126 |
31.8 |
|
Current |
270 |
68.2 |
Totals |
|
396 |
100 |
As stated before, the majority of posts feature women and this is true for posts that remain current and are removed.
The table below details where the person depicted in the post resides. While it is tempting to assume that the uploader and the subject are in the same country, it would be incorrect to do so, as it is clear from some of the comments posted the only contact the uploader and the subject had took place online and sometimes both were living in different countries.
|
Count |
Table N % |
USA |
303 |
76.5% |
UK |
23 |
5.8% |
Canada |
17 |
4.3% |
Denmark |
5 |
1.3% |
France |
4 |
1.0% |
Australia |
4 |
1.0% |
Germany |
4 |
1.0% |
Italy |
3 |
.8% |
New Zealand |
3 |
.8% |
Mexico |
3 |
.8% |
Brazil |
3 |
.8% |
Netherlands |
3 |
.8% |
Venezuela |
2 |
.5% |
Russia |
2 |
.5% |
Czech Republic |
2 |
.5% |
South Africa |
2 |
.5% |
Puerto Rico |
2 |
.5% |
Poland |
2 |
.5% |
Sweden |
1 |
.3% |
Austria |
1 |
.3% |
Kenya |
1 |
.3% |
Japan |
1 |
.3% |
Lebanon |
1 |
.3% |
Albania |
1 |
.3% |
Romania |
1 |
.3% |
Hungary |
1 |
.3% |
Switzerland |
1 |
.3% |
Total |
396 |
100.0% |
I also split this data by gender of the subject in the material.
|
Count |
Table N % |
Male |
USA |
13 |
3.3% |
Canada |
2 |
.5% |
UK |
1 |
.3% |
Mexico |
1 |
.3% |
Kenya |
1 |
.3% |
Total |
18 |
4.5% |
Female |
USA |
290 |
73.2% |
UK |
22 |
5.6% |
Canada |
15 |
3.8% |
Denmark |
5 |
1.3% |
France |
4 |
1.0% |
Australia |
4 |
1.0% |
Germany |
4 |
1.0% |
Italy |
3 |
.8% |
New Zealand |
3 |
.8% |
Brazil |
3 |
.8% |
Netherlands |
3 |
.8% |
Venezuela |
2 |
.5% |
Mexico |
2 |
.5% |
Russia |
2 |
.5% |
Czech Republic |
2 |
.5% |
South Africa |
2 |
.5% |
Puerto Rico |
2 |
.5% |
Poland |
2 |
.5% |
Sweden |
1 |
.3% |
Austria |
1 |
.3% |
Japan |
1 |
.3% |
Lebanon |
1 |
.3% |
Albania |
1 |
.3% |
Romania |
1 |
.3% |
Hungary |
1 |
.3% |
Switzerland |
1 |
.3% |
Total |
378 |
95.5% |
The people who were posted without to the revenge pornography Website came from 27 different countires, with the majority coming from the USA and other English speaking countries.
I then focused on the age of the person depicted in the material. I grouped the ages into groups of 10 years, starting at 18.
|
Count |
Table N % |
18 – 27 |
275 |
69.4% |
28 – 37 |
73 |
18.4% |
38 – 47 |
37 |
9.3% |
48 – 57 |
10 |
2.5% |
58 – 67 |
1 |
.3% |
I split this data into gender of the subject in the images.
|
|
Count |
Table N % |
Male |
18 – 27 |
13 |
3.3% |
28 – 37 |
4 |
1.0% |
38 – 47 |
1 |
.3% |
48 – 57 |
0 |
0.0% |
58 – 67 |
0 |
0.0% |
Total |
18 |
4.5% |
Female |
18 – 27 |
262 |
66.2% |
28 – 37 |
69 |
17.4% |
38 – 47 |
36 |
9.1% |
48 – 57 |
10 |
2.5% |
58 – 67 |
1 |
.3% |
Total |
378 |
95.5% |
I also split this data into groups depending on whether the post stayed current or was removed.
|
|
|
Count |
Table N % |
Male |
Current |
18 – 27 |
10 |
2.5% |
28 – 37 |
2 |
.5% |
38 – 47 |
1 |
.3% |
48 – 57 |
0 |
0.0% |
58 – 67 |
0 |
0.0% |
Total |
13 |
3.3% |
Removed |
18 – 27 |
3 |
.8% |
28 – 37 |
2 |
.5% |
38 – 47 |
0 |
0.0% |
48 – 57 |
0 |
0.0% |
58 – 67 |
0 |
0.0% |
Total |
5 |
1.3% |
Female |
Current |
18 – 27 |
167 |
42.2% |
28 – 37 |
53 |
13.4% |
38 – 47 |
30 |
7.6% |
48 – 57 |
6 |
1.5% |
58 – 67 |
1 |
.3% |
Total |
257 |
64.9% |
Removed |
18 – 27 |
95 |
24.0% |
28 – 37 |
16 |
4.0% |
38 – 47 |
6 |
1.5% |
48 – 57 |
4 |
1.0% |
58 – 67 |
0 |
0.0% |
Total |
121 |
30.6% |
So far these tables have helped in analysing the people who appear on the Website. Next I will be using this data to infer something about the population who use the revenge pornography Website.
Is there a gender bias in the type of posts that attract the most views and comments?
Using the number of maximum page views as the dependant and gender as the independent factor, I compared the means of the maximum page views for all the posts that remained current throughout the 672 hours.
Here are the results for a 95% confidence level.
Gender |
Statistic |
Std. Error |
Male |
Mean |
7936.23 |
421.44 |
95% Confidence Interval for Mean |
Lower Bound |
7017.98 |
|
Upper Bound |
8854.48 |
|
Female |
Mean |
38083.40 |
960.52 |
95% Confidence Interval for Mean |
Lower Bound |
36191.88 |
|
Upper Bound |
39974.93 |
|
There is no overlap between the confidence levels at a 95% level. This indicates there is a real difference between the means of page views that posts depicting men and women on a revenge pornography Website. Running the same test at a 99% confidence level gives us the same result, as can be seen from the table below.
Gender |
Statistic |
Std. Error |
Male |
Mean |
7936.23 |
421.44 |
99% Confidence Interval for Mean |
Lower Bound |
6648.91 |
|
Upper Bound |
9223.55 |
|
Female |
Mean |
38083.40 |
960.52 |
99% Confidence Interval for Mean |
Lower Bound |
35590.69 |
|
Upper Bound |
40576.11 |
|
I ran similar tests replacing page views with maximum comments the post received. Again this test was only run against posts that remained current for the whole 672 hours and was run at the 99% confidence level.
Gender |
Statistic |
Std. Error |
Male |
Mean |
8.92 |
1.04 |
99% Confidence Interval for Mean |
Lower Bound |
5.74 |
|
Upper Bound |
12.10 |
|
Female |
Mean |
15.63 |
0.50 |
99% Confidence Interval for Mean |
Lower Bound |
14.33 |
|
Upper Bound |
16.93 |
|
There is no overlap between the confidence levels at a 99% level. This indicates there is a real difference between the means of comments that posts depicting men and women on a revenge pornography Website.
Therefore, there is a difference in the comments and views that men and women who appear on a revenge pornography Website attract, and it would appear that the community who use and engage with revenge pornography are more likely to engage with posts depicting women.
However, as the keen eyed amongst you may have noticed, there is large difference between the number of women who appeared on the site compared to the number of women. Therefore, it will be necessary to run further tests to see if the size of the sample makes a difference. This will be discussed in my next blog post.