Concern troll. October 2023. Page Version ID: 76467190. URL: https://en.wiktionary.org/w/index.php?title=concern_troll&oldid=76467190 (visited on 2023-12-05).
I have seen these kinds of trolls so often and didn't realize they had a name. It will be easier to identify them and disregard or report.
In support of the protesters, K-pop fans swarmed the app and uploaded as many K-pop videos as they could eventually leading to the app crashing and becoming unusable, and thus protecting the protesters from this attempt at Police surveillance.
This is an impressive example of collective support and online activism. I think utilizing social media "trolling" can be a effective way of stopping harmful initiatives I have seen things similar to this a few times.
Text analysis of Trump's tweets confirms he writes only theAndroid half was published on. Text analysis of Trump's tweets confirms he writes only the (angrier) Android half. August 2016. URL: http://varianceexplained.org/r/trump-tweets/ (visited on 2023-11-24).
This was a very interesting article that sheds light on Trumps social media habits and how data science can be used to distinguish who tweets are coming from. It is interesting to see the type of data they used to find out if it was Trump himself tweeting or his staff.
The need to trust other people is obscured by the many institutions that we have created. Institutions have ways, sometimes, of getting around human whims and surprises.
This is something I haven't considered. We have systematically limited the trust humans need to have in each other and yet we still search for reasons not to trust or to trust each other.
If you wanted to make a profile to talk about yourself, or to show off your work, you had to create your own personal webpage, which others could visit.
I wish this was still more popular! Bring back blogging about random things. I think it would eliminate a lot of bad things about social media.
How is this data a simplification of reality? That is, what does it not capture? Who does it work best for, and who does it not work well for?
Data doesn’t capture nuance and context. It often chooses the simplest easiest to understand. This can be good but also harmful too. It creates unrealistic standards for many different things.
Bots, on the other hand, will do actions through social media accounts and can appear to be like any other user. The bot might be the only thing posting to the account, or human users might sometimes use a bot to post for them.
This is something I had considered but didn't realize that it could go unnoticed. I like to believe that I would be able to tell a bot from a real person posting but I am starting to think that that may not be the case. That is unnerving to me.
Twitter users quickly started tweeting racist comments at Tay, which Tay learned from and started tweeting out within one day.
I remember when this happened. I went to a UW TedTalk in 2023 that was focusing on how AI and bots need to be raised similar to toddlers due to the bias on the internet.
Some platforms are primarily intended for forming connections and building networks, like Facebook for friends and family, and LinkedIn for business connections.
I think it is important to note that social media has also been used to create social movements (e.g No Kings BLM as well as #metoo)
If the gods love an action because it is morally good, then it is good because it follows some other ethics framework. If we can figure out which ethics framework the gods are using, then we can just apply that one ourselves without the gods.
The concept of what is moral and immoral is something that I think religious groups use as a beacon then use the people who want to be good moral people to gain power.
The photo above shows the ENIAC [b123] computer (built with US Army funds in 1945, this was the first electronic general-purpose computer), being programmed by three of the six women
I took a CMS class where we spoke a lot about the ENIAC and human computers. These women were incredible and I am excited to learn how to code.
One particularly striking example of an attempt to infer information from seemingly unconnected data was someone noticing that the number of people sick with COVID-19 correlated with how many people were leaving bad reviews of Yankee Candles saying “they don’t have any scent” (note: COVID-19 can cause a loss of the ability to smell):
I think this connection is interesting and I wonder if it was found to be true for other brands as well that rely on scents.