User:Thomasnetrpm

From Wikipedia, the free encyclopedia

Thomas Nettle, (born January 26, 1970 in Sacramento, California) is an American teacher and writer.

About Me[edit]

Welcome to my Wikipedia profile, I'm Thomasnetrpm! As a former writer and teacher, I am extremely passionate about editing as well as writing. In my spare time, I work on making edits on various pages to make Wikipedia a better place.

Growing up in Sacramento, California, I always aspired to be an author even at an early age. Throughout my academic career, I took up extracurricular writing classes to become a well-versed writer. To pursue my dreams, I moved to New York where I obtained my journalism degree from New York University.

After writing articles for various local journals and other publications, I decided to become a English teacher to educate youth on the wonders of writing.

On Wikipedia[edit]

As far as my work on Wikipedia goes, I revise existing content while adding new, relevant and useful information. This includes updating dead links, adding internal wiki links and creating new and resourceful content.

Contributions[edit]

You can view my recent Wikipedia contributions here: Contributions.

Links[edit]

Links


Tools[edit]

Tools


Understanding Wikipedia[edit]

Understanding Wikipedia
"Wikipedia only works in practice. In theory, it could never work."
Understanding the vandal-fighting web

Wikipedia works because of how many people participate in creating and checking its pages. All changes go through a virtual filter--a gauntlet--of intelligent computer and human review. Thousands of people are constantly scouring new changes, and millions of readers keep an eye out for anything that seems off.

Because of this process, research studies have shown that Wikipedia is just as accurate as traditional encyclopedias, but its errors get fixed faster. We are living proof of the coders' motto that "With enough eyeballs, all bugs are shallow". In other words, many hands make anything possible!

1. Edit filter (automatic pattern rejection)

2. CBNG (machine-learning artificial neural network bot)

3. Huggle, Igloo, Lupin's filtered list (human assisted regex/badwords)

4. STiki (cbng residual feed, missed vandalism, subtle vandalism--human assisted metadata and pattern based review)

5. Article watchlists, selective page and topic monitoring by users

6. Pending changes, live version delay, reviewed by autoconfirmed users

7. Semi-protection, prevents non-autoconfirmed users from editing

8. Full protection, prevents non-admins from editing

9. Official readers, journalists and subjects of articles who report mistakes in the news (not good!)

10. Random readers, millions of individuals who fix errors when they come upon them