[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 |
|---|---|---|
| 98.66666666666669 | cotabe#0 | for the incredible work attending the FLII, you don't know how impressive they were at connecting and explaining Giveth to all attendants. Many great connections on the impact enviornment were made there. Thanks a lot guys |
| 77.66666666666667 | divine_comedian#0 | for turning on a dime and getting a NFT out instead of a POAP for the GIV impact quests |
| 66.33333333333333 | cotabe#0 | for reaching 100% strings translated to spanish on the i18n of the dApp!! - they were > 900 lines of information |
| 66.33333333333333 | tamarandom#0 | for absolutely slaying all of their talks at EthDenver. It was such a joy to see you all on stage and I left feeling truly inspired! |
| 59.333333333333336 | hanners717#0 | for being giveth booth superstars! Really they did such a great job always around the booth and helping people to find out more about Giveth! amazing commitment from all of them |
| 59.333333333333336 | hanners717#0 | for being such a wonderful support for me and everyone else in the team especually during ETHDenver, going above an beyond to make sure everything is sorted and organized but above all, a support for all of us when we needed the mood uplift :) <3 |
| 59.333333333333336 | hanners717#0 | - the whole team - who rocked ETH Denver 2023 in giving talks, moderating panels, DJing, manning the booth, fundraising talks. You guys are the best!!!!! |
| 59.333333333333336 | Jake🐍#0203 | for persistent outreach raising funds for earthquake relief bearing fruits with sizeable donations |
| 59.333333333333336 | mateodazab#0 | for reaching 100% strings translated to spanish on the i18n of the dApp!! - they were > 900 lines of information |
| 59.333333333333336 | karmaticacid#0 | for getting up and presenting Giveth's DAO structure on the "DAO it like you mean it" panel during DAOs @ Denver ! |
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 653 praises, 258 (39.51%) 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 653 praises, 2 (0.31%) 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.