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You guys are familiar with attempts already in place to remove hate and other undesirable speech from social media. But, what’s considered hate speech, or speech that goes against community standards, seems to be the subject to the eye of the beholder.<\/p>\n
Granted, both sides of the debate would agree on certain types of hate speech. However, what many of us has considered as “the norm” is increasingly being seen as something that could “trigger” a person, or groups of people. The potential for “abuse” would be hard to miss.<\/p>\n
From The College Fix:<\/span><\/p>\n In addition to artificial intelligence, the program will use several different techniques to detect offensive speech online, including “machine learning, natural language processing, and good old human brains.” Researchers aim to have “major social media platforms” one day utilizing the technology to detect “hate speech” and eliminate it, and the users who spread it, from their networks.<\/span><\/strong><\/p><\/blockquote>\n For the human contribution, they recruited 10 students. As I mentioned in another post, the youngest Millennials will have all turned 22 before the end of this month. This means that there is a good chance that the students involved with this project are a part of Generation Z.<\/p>\n This is the generation that played an active role in the “Tide Pod Challenge” and for giving us David Hogg.<\/p>\n More from The College Fix:<\/span><\/p>\n D-Lab initially enlisted ten students of diverse backgrounds from around the country to “code” the posts, flagging those that overtly, or subtly, conveyed hate messages. Data obtained from the original group of students were fed into machine learning models, ultimately yielding algorithms that could identify text that met hate speech definitions with 85 percent accuracy,<\/span><\/strong> missing or mislabeling offensive words and phrases only 15 percent of the time.<\/p><\/blockquote>\n Now, what we define as “hate messages” has some differences from that of the opposing side. There is also a difference between our definition, and that of the younger generation. The folks who were exposed to liberal indoctrination provided the human contribution to the algorithm that will determine whether your post constitutes hate or not.<\/p>\n You can read more here<\/a>.<\/p>\n HMCS(FMF) ret provides a more detailed link here<\/a>.\u00a0Notice the graphic on Twitter, with regards to what was looked at.<\/p>\n","protected":false},"excerpt":{"rendered":"