“X (Formerly Twitter) Introduces ‘Not A Bot’ $1-a-Year Subscription to Tackle Bots and Spammers”

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X, the social media platform formerly known as Twitter, has unveiled a new subscription model called ‘Not A Bot,’ aiming to address the persistent issue of bots and spammers on the platform. Under this subscription, users will be charged a nominal annual fee of $1 to access basic features, including likes, reposts, quoting other accounts’ posts, and bookmarking posts on the web version of the platform.

The primary objective of introducing this subscription model is to combat the proliferation of automated accounts and spammers that have plagued the platform. The subscription fee will vary from one country to another, adjusting to the local exchange rate.

The initial rollout of this subscription model will be in New Zealand and the Philippines, where users will have the opportunity to opt for ‘Not A Bot’ to enhance their experience on the platform.

Existing users within this testing phase will not be affected by the subscription model, maintaining their access to the platform’s features. However, new users who choose not to subscribe will be limited to viewing and reading posts, watching videos, and following accounts, with certain interactions restricted.

Bots have been a significant concern for X, particularly since Elon Musk’s acquisition of the company last year. In a bid to safeguard the authenticity of its user base, X introduced limitations on viewing tweets in July.

Recent reports have suggested that X CEO Linda Yaccarino has discussed subscription services with the company’s lenders, planning to test three tiers based on the number of ads shown to users. This indicates X’s evolving approach to monetization and improving user experiences on the platform.

X’s ‘Not A Bot’ subscription model represents a potential shift in how social media platforms tackle issues related to authenticity and user engagement while exploring new revenue streams. The test in New Zealand and the Philippines will provide valuable insights into the model’s effectiveness and its reception among users.

Sources By Agencies