[Jiggly]

Apparently, Twitter is beginning to investigate its algorithms for its potential harmful affects. This is known as their Responsible Machine Learning Initiative. They have released this information about the initiative:

Code:

Here’s how we’re approaching this initiative: Researching and understanding the impact of ML decisions. We’re conducting in-depth analysis and studies to assess the existence of potential harms in the algorithms we use. Here are some analyses you will have access to in the upcoming months: A gender and racial bias analysis of our image cropping (saliency) algorithm A fairness assessment of our Home timeline recommendations across racial subgroups An analysis of content recommendations for different political ideologies across seven countries Applying our learnings to improve Twitter. The most impactful applications of responsible ML will come from how we apply our learnings to build a better Twitter. The META team works to study how our systems work and uses those findings to improve the experience people have on Twitter. This may result in changing our product, such as removing an algorithm and giving people more control over the images they Tweet, or in new standards into how we design and build policies when they have an outsized impact on one particular community. The results of this work may not always translate into visible product changes, but it will lead to heightened awareness and important discussions around the way we build and apply ML. We’re also building explainable ML solutions so you can better understand our algorithms, what informs them, and how they impact what you see on Twitter. Similarly, algorithmic choice will allow people to have more input and control in shaping what they want Twitter to be for them. We’re currently in the early stages of exploring this and will share more soon.

I think this is pretty interesting. I can imagine, what twitter does now, could be used to inform other companies who might look into similar initiatives. Many algorithms built by various social media companies have had unintended impacts, and it would be good to see what those are, whether they be good/bad or something to change or learn from. Perhaps this will encourage the companies to have a little more control over how their platform works, as well.

[mothered]

It'll be very Interesting to read the results of their Investigations, particularly the steps taken to analyze and conclude their findings.

[retroplayer]

Apparently, Twitter is beginning to investigate its algorithms for its potential harmful affects. This is known as their Responsible Machine Learning Initiative. They have released this information about the initiative:

Code:

Here’s how we’re approaching this initiative: Researching and understanding the impact of ML decisions. We’re conducting in-depth analysis and studies to assess the existence of potential harms in the algorithms we use. Here are some analyses you will have access to in the upcoming months: A gender and racial bias analysis of our image cropping (saliency) algorithm A fairness assessment of our Home timeline recommendations across racial subgroups An analysis of content recommendations for different political ideologies across seven countries Applying our learnings to improve Twitter. The most impactful applications of responsible ML will come from how we apply our learnings to build a better Twitter. The META team works to study how our systems work and uses those findings to improve the experience people have on Twitter. This may result in changing our product, such as removing an algorithm and giving people more control over the images they Tweet, or in new standards into how we design and build policies when they have an outsized impact on one particular community. The results of this work may not always translate into visible product changes, but it will lead to heightened awareness and important discussions around the way we build and apply ML. We’re also building explainable ML solutions so you can better understand our algorithms, what informs them, and how they impact what you see on Twitter. Similarly, algorithmic choice will allow people to have more input and control in shaping what they want Twitter to be for them. We’re currently in the early stages of exploring this and will share more soon.

I think this is pretty interesting. I can imagine, what twitter does now, could be used to inform other companies who might look into similar initiatives. Many algorithms built by various social media companies have had unintended impacts, and it would be good to see what those are, whether they be good/bad or something to change or learn from. Perhaps this will encourage the companies to have a little more control over how their platform works, as well.

Thank God if true. Furthermore, if they could get rid of the trending area of Twitter, it would become %100 more bearable. Nothing like logging in to view funnies only to find everyone cussing at each other over the latest scandal, because it hit trending.

[Jiggly]

Apparently, Twitter is beginning to investigate its algorithms for its potential harmful affects. This is known as their Responsible Machine Learning Initiative. They have released this information about the initiative:

Code:

Here’s how we’re approaching this initiative: Researching and understanding the impact of ML decisions. We’re conducting in-depth analysis and studies to assess the existence of potential harms in the algorithms we use. Here are some analyses you will have access to in the upcoming months: A gender and racial bias analysis of our image cropping (saliency) algorithm A fairness assessment of our Home timeline recommendations across racial subgroups An analysis of content recommendations for different political ideologies across seven countries Applying our learnings to improve Twitter. The most impactful applications of responsible ML will come from how we apply our learnings to build a better Twitter. The META team works to study how our systems work and uses those findings to improve the experience people have on Twitter. This may result in changing our product, such as removing an algorithm and giving people more control over the images they Tweet, or in new standards into how we design and build policies when they have an outsized impact on one particular community. The results of this work may not always translate into visible product changes, but it will lead to heightened awareness and important discussions around the way we build and apply ML. We’re also building explainable ML solutions so you can better understand our algorithms, what informs them, and how they impact what you see on Twitter. Similarly, algorithmic choice will allow people to have more input and control in shaping what they want Twitter to be for them. We’re currently in the early stages of exploring this and will share more soon.

I think this is pretty interesting. I can imagine, what twitter does now, could be used to inform other companies who might look into similar initiatives. Many algorithms built by various social media companies have had unintended impacts, and it would be good to see what those are, whether they be good/bad or something to change or learn from. Perhaps this will encourage the companies to have a little more control over how their platform works, as well.

Thank God if true. Furthermore, if they could get rid of the trending area of Twitter, it would become %100 more bearable. Nothing like logging in to view funnies only to find everyone cussing at each other over the latest scandal, because it hit trending.

I must admit, I don't tend to even look at the trending section. It acts like news but if I want news I sure as hell don't go to twitter!? XD

[so8band]

100% - twitter is read once verify 2/3 times before you can be sure

[mothered]

I must admit, I don't tend to even look at the trending section.

To be honest, I've yet to use Twitter and have no Intention of doing so, ever.

[Jiggly]

I must admit, I don't tend to even look at the trending section.

To be honest, I've yet to use Twitter and have no Intention of doing so, ever.

I don't really blame you, since I'm aware you're not a big social media user, for your personal stuff at least.

I've used twitter for a while to see when my friends go live on twitch. I mostly follow artists/twitch streamers, and stay away from the rest. I've heard some people talk about awful things they've seen on twitter, but due to who I follow and the content I engage with, I don't see any of that stuff. My feed is full of artworks and "we are live" updates from friends xD