Twitter analyst Day shows that he works at Super Follows, micro-communities

Twitter CEO and co-founder Jack Dorsey addresses students at the Indian Institute of Technology (IIT) on November 12, 2018, in New Delhi, India.

Amal KS | Hindustan Times | Getty Images

Twitter on Thursday announced a number of new features the company is experimenting with, including Super Follow subscriptions, which will allow users to pay to see tweets from their favorite accounts.

Twitter showed the new features during its annual analysts Day. The company kicked off the event by announcing new goals to grow its user base to 315 million monetizable daily active users, or mDAUs, by the end of 2023 and reach annual revenues of $ 7.5 billion in 2023, double the revenue from $ 3.72 billion that the company reported in 2020.

The preview features are designed to help the company meet its 2023 user and revenue targets.

These are the most notable features:

Super Watch

The company said it will explore the idea of ​​Super Follows, which will allow users to pay subscriptions to their favorite Twitter accounts. A screenshot of the feature shows that Super Follows could provide subscribers with exclusive content, such as newsletters, as well as unique support badges, among other benefits.

Twitter said it is also exploring the idea of ​​allowing users to submit their favorite accounts. The company did not say when these features will be launched or will not provide clear details on how they will work.

“We believe that an audience-funded model, in which subscribers can directly fund the content they value most, is a sustainable incentive model that aligns the interests of creators and consumers,” said Dantley Davis, head of design and research at Twitter. .

Later, in a question and answer session, Twitter product leader Kayvon Beykpour said the company plans to launch Super Follows on the market this year and explained that the price point will be customizable.

micro-community

Twitter leader Kayvon Beykpour announced that the company is working on a new feature that will allow users to create, discover and join micro-communities, such as communities of users who care about social justice or those who are plant parents. .

Users who manage micro-communities could also set and enforce social norms that go beyond the standard terms of Twitter services, Beykpour said.

The company will begin publicly experimenting with the feature later this year, Beykpour said. The feature is part of the company’s efforts to increase user growth, making it easier to connect users with topics and interests that interest them.

“We need to improve to allow people to have more targeted conversations with the relevant communities or geographies they are interested in,” Beykpour said.

Safe mode

Twitter executives stressed that maintaining a healthy environment, free from abuse and harassment, is the key to growing the company’s user base.

“We don’t think Twitter alone can or should be a police officer for all conversations,” Beykpour said. “Not only because this is difficult to scale, but because there are many circumstances in which we believe it is important for people on Twitter to create and apply their own social norms and etiquette.”

As part of this effort, the company briefly introduced a feature that appears to be called “safety mode.”

This feature would automatically detect when a user starts receiving a lot of negative interactions from others. A screenshot of the features appears to indicate that users could activate security mode to limit involvement in accounts that are abusive or spam them.

“Automatically block accounts that appear to be violating Twitter rules and disable accounts that may use insults, language calls, loud language, or hateful remarks,” a screenshot of the feature reads.

Birdwatch

Birdwatch could combat the spread of misinformation on the social network through user contributions, Twitter said.

“While our misleading information labeling work began with a Twitter-led effort to tag tweets, Birdwatch is a more scalable, Wikipedia-like model in which an open community of contributors can collectively determine when the context would should be added to a tweet and what that context should say, “Beykpour said.

An example of a feature is a tweet stating that whales are not actually tagged with notes from Twitter users calling the tweet “misinformed or potentially misleading.” One of the notes says “Marine mammals are actually real.”

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