[nltk_data] Downloading package stopwords to /root/nltk_data... [nltk_data] Unzipping corpora/stopwords.zip.
This document processes the outputs of the praise reward system and performs an analysis of the resulting token reward distribution.
Since praise gets valued on a scale, we can take a look at how often each value of the scale gets assigned by quantifiers. Note: This metric disregards scores of praise marked as a duplicate, since the score of the original is already being taken into account.
The ten highest rated contributions for this round were the following:
| Avg. score | To | Reason |
|---|---|---|
| 103.0 | oyealmond#0 | and fatemeh for an epic podcast on GM highlighting iran, sanctions, protests, the role of web3 & more |
| 89.0 | oyealmond#0 | for editing, coordinating & releasing the GM podcast - its so great |
| 84.66666666666667 | Amin#2164 | for PFP smart contract and leading the front-end team |
| 84.66666666666667 | Amin#2164 | for working together to create a quick solution so that projects responding to the disaster in turkey & syria could be featured at the top of the projects page & homepage! getting more explose to these important projects |
| 84.66666666666667 | oyealmond#0 | for the huge efforts they have been doing in impact quest design and calling denver non-profits |
| 82.0 | Amin#2164 | for launching the new homepage! it's AMAZING |
| 80.33333333333333 | yass.o#0 | for all the hard work on fundraising to get us 10k from Polygon!!! And it looks like 20k from Celo is about to come thru! |
| 79.33333333333333 | rodricast#0 | for delivering the ETHDenver Giveth banners designs! |
| 78.0 | vladhzc#0420 | for accepting the last-minute invitation to facilitate the next Meet The Makers all about inclusivity, you are a great example. A awesome Giveth ambassador. |
| 69.0 | whyldwanderer#0 | for generating and fostering so many cool partnerships for ETH Denver and Impact Quests |
We can now take a look at the distribution of the received praise rewards. You can toggle the inclusion of the different sources by clicking on the legend.
We can also take a look at the amount of praise different users gave.
Now for something more fun: let's surface the top "praise flows" from the data. Thanks to @inventandchill for this awesome visualization! On one side we have the top 15 praise givers separately, on the other the top 25 receivers. The people outside the selection get aggregated into the "REST FROM" and "REST TO" categories.
Now let's take a closer look at the quantification process and the quantifiers:
To aid the revision process, we highlight disagreements between quantifiers.
This graphic visualizes controversial praise ratings by sorting them by the "spread" between the highest and lowest received score.
Please keep in mind that this is a visual aid. If there are several praise instances with similar spread and quant score, all but one end up "hidden" on the chart. For an exhaustive list, take a look at the exported file "praise_outliers.csv" .
Let's see how different quantifiers behaved by showing the range of praise scores they gave.
To interpret the box plot:
Bottom horizontal line of box plot is minimum value
First horizontal line of rectangle shape of box plot is First quartile or 25%
Second horizontal line of rectangle shape of box plot is Second quartile or 50% or median.
Third horizontal line of rectangle shape of box plot is third quartile or 75%
Top horizontal line of rectangle shape of box plot is maximum value.
Among 998 praises, 229 (22.95%) do not agree on duplication
Praise instances with disagreements in duplication are collected in 'results/duplication_examination.csv'. To compare, look at the last 4 columns: 'DUPLICATE MSG 1/2/3' and 'ORIGINAL MSG'.
Among 998 praises, 7 (0.70%) do not agree on dismissal
Praise instances with disagreements in dismissal are collected in'results/dismissal_disaggreed.csv'. You can further look into who dismissed and who did not.