Thank you Chairman Walden, Ranking Member Pallone, and the committee, for the opportunity to speak on behalf of Twitter to the American people. I look forward to our conversation about our commitment to impartiality, transparency, and accountability.
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For our part, machine learning teams at Twitter are experimenting with these techniques and developing roadmaps to ensure present and future machine learning models uphold a high standard when it comes to algorithmic fairness. It’s an important step towards ensuring impartiality.
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Looking at the data, we analyzed tweets sent by all members of the House and Senate, and found no statistically significant difference between the number of times a tweet by a Democrat is viewed versus a Republican, even after our ranking and filtering of tweets has been applied.
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Also, there’s a distinction we need to make clear. When people follow you, you’ve earned that audience. And we have a responsibility to make sure they can see your tweets. We do not have a responsibility, nor you a right, to amplify your tweets to audiences that don’t follow you.
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What our algorithms decide to show in shared spaces, like search results, is based on thousands of signals that constantly learn and evolve over time. Some of those signals are engagement, some are the number of abuse reports. We balance all of these to prevent gaming our system.
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We acknowledge the growing concern people have of the power held by companies like Twitter. We believe it’s dangerous to ask Twitter to regulate opinions or be the arbiter of truth. We’d rather be judged by the impartiality of outcomes, and criticized when we fail this principle.
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In closing, when I think of our work, I think of my mom and dad in St. Louis, a Democrat and a Republican. We had lots of frustrating and heated debates, but looking back, I appreciate I was able to hear and challenge different perspectives. And I appreciate I felt safe to do so.
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We believe Twitter helps people connect to something bigger than themselves, shows all the amazing things happening in the world, and all the things we need to acknowledge and address. We‘re constantly learning how to make it freer and healthier for all to participate. Thank you.
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How does an algorithm accidentally censor thousands of users with similar political views but not other with opposing views? This surely wasn’t random.
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LOL give me a break.
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Hire data scientists that are diverse ethnicities and cultures. The data becomes more inclusive that way.
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The main reason I joined Twitter is to get Trumps tweets. He's the 1st person I followed. I used to get his tweets,Until I added
#MAGA to my profile. Now I only see him if someone RTs. I RT Trump everyday. Y can't your algorithm figure out I want to see his tweets?Or maybe it didThanks. Twitter will use this to make your timeline better. UndoUndo
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GET RID OF THE FCKING ALGORITHMS. All we want is each post from each person we follow in chronological order. Nothing else. It's that simple. Why can't you figure this out? Can someone bring back Twitter 1.0 please?
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No shit. We have seen this movie. The AI applies liberal logic to the algorithm and it decides we are ALL Hitler in 5 seconds.
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The thing you describe ist not a bias, it's the result of your optimization criteria.
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We need transparency..Congress should be allowed to view ALL Twitter's algorithms.
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You have blatant bias, not accidental. Cleverly hidden all be it.
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The only bias is Twitter silencing voices they do not agree with.
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