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Coinflict of Interest

Coinflict of Interest

Browser extension to show user biases on Crypto Twitter

5 followers

Browser extension to show user biases on Crypto Twitter

5 followers

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There are lots of people voicing their opinions on Crypto Twitter, however it's often hard to work out if Tweets are genuine or biased. This browser extension helps you get quick insights into user biases by injecting the data straight into Twitter.
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Company Info
github.com/lukechilds/coinflict-of-interestGitHub
Coinflict of Interest Info
Launched in 2019View 1 launch
Forum
p/coinflict-of-interest
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Coinflict of Interest gallery image
Coinflict of Interest gallery image
Launch tags:
Browser Extensions•Chrome Extensions•Open Source
Launch Team
Luke Childs

What do you think? …

Lachlan Kirkwood
Lachlan Kirkwood

No-Code Tees by Maker Threads

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 🙌
Report
6yr ago
Luke Childs
Luke Childs
Umbrel

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.
Report
6yr ago
Lachlan Kirkwood
Lachlan Kirkwood

No-Code Tees by Maker Threads

@lukechilds123 Thanks for getting back to me, will check read more on the hive database 👍 Love what you've built!
Report
6yr ago
Maciek
Maciek
Graph.one

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.
Report
6yr ago
Lachlan Kirkwood
Lachlan Kirkwood

No-Code Tees by Maker Threads

@lukechilds123 @macieklaskus Thanks, great to know!
Report
6yr ago
Luke Childs
Luke Childs
Umbrel

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...
Report
6yr ago
Michael Gubik
Michael Gubik
Quick Note for Notion

Quick Note for Notion

The logo is epic!
Report
6yr ago
Luke Childs
Luke Childs
Umbrel

Umbrel

Maker
@gubikmic heh heh thanks.
Report
6yr ago
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