My experience with X, aka Twitter. π§΅
1/ I first heard about Twitter at a conference back when it was still an SMS-based service. I thought it was weird. I joined it in January 2008 when it was a website and getting more mainstream. For most of the past 15 years, I tweeted
4/ whatever name people have come up with for this blip in cultural history.
I probably still have a myspace account, but I doubt even @myspacetom himself could recover my login creds, which I've long forgotten.
P.S. I won't miss having to break up posts into multiple tweets
@WarintheFuture Hi, I enjoy your tweets, but copying content from earlier threads & swapping the combatants around is not a good look, especially when you forget to do some of the swapping. Maybe just link to earlier threads on similar topics instead of self-plagiarism?
https://t.co/xQbT70bLSw
@tomgoldsteincs 2/ The best way to detect plagiarism is to assess students' abilities in environments where they can't cheat, & then when they do longer assignments where they could cheat, you must scrutinize "outliers" compared to the earlier assessments. Watermarking could be 1 signal to use.
@tomgoldsteincs 1/ From my short experience as a lecturer, students who are prone to plagiarizing will probably find ways around this. It might make their job of plagiarizing more difficult, but they'll use real-world "reinforcement learning" to avoid detection.
@trishume What percentage of the people who criticized this idea actually clicked the link and read past, "I want to be clear this is meant as educational fun, and not as a good idea, at least going all the way to one machine."?
Thanks @trishume for the interesting research and fun read!
@rdicosmo Great Qs, but I think we'll need to first agree on a definition of "bogus content"? Does it mean any content generated by a machine/AI? Or does it mean any content portraying itself as generated by a human but actually generated by a machine? Or something else?
Important!
Share this article with everyone. It is outstanding
I will post excerpts
1/
You May Be Early, but You're Not Wrong: A Covid Reading List, by @JessicaLexicus
https://t.co/YvdeaFp0ng