Shut Your Mouth API

An API to end cyber bullying 🤐

5 followers

An API to end cyber bullying 🤐

5 followers

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Unified API

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AI Content Detection

An API that detects negative/positive sentiments in text and returns a well-structured meaningful interpretation 🙂 💚

Launch tags:Web App•Productivity•API

Launch Team

Tines The single, secure environment for agents, apps, and automations.

Promoted

I'm pretty sure telling people to shut up is BULLYING. Just because you don't like it doesn't make it bullying or hate speech. Long live free speech.

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8yr ago

TeamWatch

Maker

@michael_cox2 Not just people, Michael. People who are telling others to 'kill themselves', 'you deserve to die' and pushing them to suicide and calling them with degrading things on the internet can easily be found on networks like youtube and social media. So obviously, the idea is to target these people who hide behind screens and attacking people over the internet :) Sorry if the name was misleading though. That was the intention behind it

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8yr ago

TeamWatch

Maker

@michael_cox2 Another terrible terrible thing is this game known as 'Blue whale' Absolutely disgusting. I wish all the developers came together to solve this. I hope more APIs like this come up and help devs integrate suicide prevention systems, etc in their apps.

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8yr ago

@michael_cox2 Free speech isn't telling people that they deserve to die or threatening their lives or means of livelihood. I honestly hope I misunderstood your comment here.

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8yr ago

@michael_cox2 I just checked out your account. It doesn't seem like a regular user's. Seems more like you hurriedly created a fake account in order make this 'Free Speech' comment. I hope I'm wrong.

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8yr ago

Congrats on the launch. Cyber bullying is a horrible thing. However, isn’t it a little strange that you are releasIng an API to detect cyber bullying while bullying someone on the produt Image? 🤔

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8yr ago

The Idea is good, but the implementation isnt. You basically have an API that scans the input for specific Words, problem is as an example if you write "I like Poptarts" it is marked as an offensive Message because it contains "tart" You can't just make it so easy for yourself. As an example "ho" is detected as an bad word. So "How are you doing" and everything else with how or hope in it is detected as insult. If I would need something like this I wouldn't buy this product, because of 3 things: 1. The API is detecting friendly messages, the mechanism behind it is generally extremely simple which doesn't mean its good. Also "kys" isnt detected. 2. Privacy. Also I would be commiting a crime if I redirect all private messages to your API without clearly telling the client that I redirect all messages to you (and intelligent users will using that service because they dont want their private messages being broadcasted to an weird API) 3. The price is way too high. I think you are just trying to make a few fast bucks, but the price is really just to big, also considering that the API does nothing else than checking a string for other insults out of an insult list, and even that isn't done good. As an example: Whatsapp has 1.3 Billion monthly users, and 55 Billion Messages per day, so every user sends approximately 42 messages a day. So lets say I have a website with a chat function and I use your API to filter their messages Each user sends 1260 messages a month, your cheapest plan costs 0.1599 cents per message, so every single active user would cost me 20 cents per month. If I have a medium size application with 5k users, I would need to pay you 1000 Dollar for your service, that shouldn't be too much of a problem because I would probably lose most of my customers because they can't communicate properly without triggering this API and they don't want to share all their private messages with some weird API

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8yr ago

btw: According to this API this post contains 11 insults, lets see if you can spot them haha

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8yr ago

Leave Me Alone

@altay_akkus Agreed. OP should have a read of the Scunthorpe Problem (https://en.wikipedia.org/wiki/Sc...)

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8yr ago

@jamesivings I dont really think this project is really serious, seems like a product made in like 1-2 days trying to make a few bucks out of it.

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8yr ago

Leave Me Alone

You know there are plenty of words that contain explicit words right? First simple example I tried out reported a false positive 😞"Do you need assistance?"

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8yr ago

Leave Me Alone

"I am from Scunthorpe, UK" apparently contains two explicit words...

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8yr ago

My rights don't end where your feelings start, sorry.

Pros:

Saves feelings of snowflakes

Cons:

Tells people what they can and cannot say...

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8yr ago

Bingo.

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8yr ago

Depot

This is a good idea on the surface but there is some implementation details missing. First, the landing page says that the Free tier includes 10,000 requests/month. When you register, however, that number is actually 1,000 requests/month. Second, this isn't really doing sentiment analysis, it appears to be doing word matching. For instance the phrase, "how are you?", is registered as offensive because it contains "ho".

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8yr ago

As many have mentioned, sentiment analysis isn't so simple as just picking out words. For instance, context plays an extremely important part. I would say that this is a good start for detecting plain out negative words but nothing more than that. Or does this service do more than just that?

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8yr ago

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