Jack Dorsey has admitted in the past that the company "hasn't done enough" to promote user transparency. But what is the company doing to combat the spam, abuse and misinformation that the platform has become notorious for?
Here are the main takeaways:
- Relying on behavior: Twitter says it relies on machine learning to look at how accounts behave and react to each other to rank content in a user's feed. It says that since it started doing this, abuse reports have dropped 4% from search and 8% from conversations.
- Finding the fakes: Over the course of the last several months, Twitter says it has identified and challenged between 8.5 million and 10 million accounts weekly that are suspected of being bots or creating spam. That's three times the 3.2 million caught weekly in 2017.
- Combatting accusations of bias: Despite accusations of 'shadow banning' conservatives, Twitter says it has found nothing of the sort. In fact, the company says it ran a 30-day test following House and Senate accounts, and 'found no statistically significant difference between the number of times a Tweet by a Democrat is viewed versus a Tweet by a Republican."
Read Dorsey's pre-written remarks.