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www.countycricketmatters.com
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| | Cover art done by- Sage Spring
| | alroda54.wixsite.com
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| | [AI summary] The post text is entirely unreadable and appears to be corrupted or filled with garbled symbols, making it impossible to determine the subject matter.
| | www.cleanuptheinternet.org.uk
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| | [AI summary] An article by David Babbs lists academic works examining how anonymity and inauthentic accounts facilitate misinformation online.
| | www.daveramseymusic.com
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| A possible strategy to create a simple language classifier that will rate social media posts as homophobic or not. Note: I am currently on step 6 and things are looking up. I'll be posting my code to my GitHub soon Warning! These are not nice posts you'll be working with. You will run across foul language and hatred, only proceed with these datasets with caution. BUT this process might also work for other data sets like marketing posts or sports posts. 1. Make your own tiny crumby data set by