Coinflict of Interest: Browser extension to show user biases on Crypto Twitter

No-Code Tees by Maker Threads

Launching soon!

This is incredible! Would love to know how far the model back dates tweets? Also what platform you built this on? Have you considered making a version for political bias too? Would be incredible to validate publishers 🙌

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6yr ago

Luke Childs

Umbrel

Maker

@lachlankirkwood The data source is https://hive.one, you can read more about their algorithm here: https://hive.one/algorithm. I'm not sure how far back they check the tweets. I've let the team know you asked, hopefully they will jump in here with some answers. >Have you considered making a version for political bias too? That doesn't interest me a great deal tbh. The extension is open source so if someone wants to fork it and do a political spin off they're more than welcome.

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6yr ago

Lachlan Kirkwood

No-Code Tees by Maker Threads

Launching soon!

@lukechilds123 Thanks for getting back to me, will check read more on the hive database 👍 Love what you've built!

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6yr ago

Maciek

Graph.one

@lukechilds123 @lachlankirkwood I lead the team that created hive.one. Our data goes a couple of months back at this point, but going forward the time span will grow. The current data set is focused exclusively on crypto Twitter, but we believe that this algorithm can be applied universally. Both in terms of context on Twitter and applying it to other platforms. Let me know if you'd like to know anything else.

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6yr ago

Lachlan Kirkwood

No-Code Tees by Maker Threads

Launching soon!

@lukechilds123 @macieklaskus Thanks, great to know!

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6yr ago

Luke Childs

Umbrel

Maker

There are lots of people voicing their opinions on Crypto Twitter, however it's often hard to work out if Tweets are genuinely informative, or if the person has an ulterior motive. The step I usually use to determine how seriously I should take a Tweet are: - See a negative tweet about a certain currency. - Check that person’s profile to see if they're biased towards or against that currency. - If they’re biased towards it and they’re saying something negative, it’s probably a valid criticism. - If they’re biased against it and they’re saying something negative, it might just be FUD. However this can be time consuming and it isn't always easy to tell someone's biases just by glancing at their profile. This browser extension helps you get quick insights into user biases by injecting the data straight into Twitter. Bias information is displayed inside the users profile card that pops up when you hover over their avatar. It's also displayed under a users bio on their profile. The https://hive.one API provides influence data on users which is then run through an algorithm to derive bias from that data. It's not perfect and the results should be taken with a pinch of salt. There are definitely lots of ways it can be improved but I think it's accurate enough to helpful. There is also a Twitter thread here with more information and screenshots with bias results from prominent members of the community: https://twitter.com/lukechilds/s...

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6yr ago