For the last several months, I spend some time once every while to improve the Tag Wiki of Data Science Site. In most of the cases, I look on other Stack Exchange sites if they have a decent Tag description and I use that one as well by adding/removing parts that not make sense or are poorly written.
Is this acceptable? Based on this Meta Stack Exchange question (Copying (partially) tag wiki from one site to another. Attribution and best practices?), Yes, it is.
Not adding an attribution is a reason to reject a suggestion? No. You don't have to. StackExchange is based on Creative Commons. It is clearly mentioned here, in their official page, that when you share content inside the company or organisation you don't need to add any attribution at all.
NOTE: This is not about the Rejected Tag Wiki, but a mean to prove that what happened acts against the friendly, collaborated environment that StackExchange tries to promote. Acting by own rules that don't follow common practices in SE and actions that push users away from being active.
During the last time, I got many of them rejected, while in my honest opinion, it shouldn't. Here is an example
Tag: Seaborn (no description before)
Seaborn is a Python visualization library based on matplotlib. Its primary goal is to provide a concise, high-level interface for drawing statistical graphics that are both informative and attractive.
Simply defining what a [tag] is rarely helps those using it unless the tag's name itself is ambiguous. Excerpts should describe why and when a tag should be used. See the help center for more guidance.
Seaborn is a library for making attractive and informative statistical graphics in Python. It is built on top of
matplotlib and tightly integrated with the PyData stack, including support for
pandas data structures and statistical routines from
Some of the features that seaborn offers are
- Several built-in themes that change the default matplotlib aesthetics
- Tools for choosing color palettes to make beautiful plots that reveal patterns in your data
- Functions for visualizing univariate and bivariate distributions or for comparing them between subsets of data
- Tools that fit and visualize linear regression models for different kinds of independent and dependent variables
- A function to plot statistical timeseries data with flexible estimation and representation of uncertainty around the estimate
- High-level abstractions for structuring grids of plots that let you easily build complex visualizations
This tag should be used for seaborn related questions. Since seaborn heavily builds on top of matplotlib, and since many seaborn related problems can be come by using standard matplotlib techniques, it is advisable to additionally add the [matplotlib] tag to any seaborn question as well.
This edit copies a significant amount of content from an external source. Generic descriptions such as encyclopedia articles and ad copy do not provide useful guidance; try creating something useful to this community specifically, and be sure to attribute the original author. See: How to reference material written by others.
Both of them are used in StackOverflow with about 3.500 questions and 9 revisions to end up to this tag version. I strongly believe that the quality of those was high enough to get accepted. If there were things that could be added to improve the proposed text, that could be another revision on top of that.
Most of the Tags I added were accepted by other users (based on the review history) but were rejected by one specific mod. The explanation that was given was against what the linked meta-question mentioned above and I am really confused about what we should/shouldn't do to improve this community in the end.