Twitter's New Label Requires Developers to Label Their Bot Account
Francesca Mercurio — September 11, 2021 — Social Media
References: finance.yahoo
Twitter is currently testing out a new feature that lets automated bot accounts self-identify as such in their Twitter bio.
This new feature was designed to help restore trust, confidence, and transparency between humans and the numerous automated social media accounts. This new feature will require developers to explicitly identify if an account is a bot and identify the person running the account.
Twitter believes that bots can be used for helpful and legitimate reasons - such as using bots equipped with early disaster warning systems. However, it is currently difficult to identify between the good and the bad bots. This new label will help users identity between trustworthy bots and spambots that should be avoided. Increasing transparency is the goal, and this new feature will do so. This label will be available to developers by the end of the year.
Image Credit: Twitter
This new feature was designed to help restore trust, confidence, and transparency between humans and the numerous automated social media accounts. This new feature will require developers to explicitly identify if an account is a bot and identify the person running the account.
Twitter believes that bots can be used for helpful and legitimate reasons - such as using bots equipped with early disaster warning systems. However, it is currently difficult to identify between the good and the bad bots. This new label will help users identity between trustworthy bots and spambots that should be avoided. Increasing transparency is the goal, and this new feature will do so. This label will be available to developers by the end of the year.
Image Credit: Twitter
Trend Themes
1. Bot Self-identification - Twitter's new feature lets automated bot accounts self-identify as such in their Twitter bio enabling the user to differentiate trustworthy bots and spambots.
2. Transparency - Twitter's new bot self-identification feature aims to increase transparency between humans and bots.
3. Bot Development - Twitter's new bot self-identification feature will create opportunities for developers to create new types of trustworthy bots.
Industry Implications
1. Social Media - The new bot self-identification feature has an impact on social media, transparency, and bot activities, creating an opportunity for social media companies to innovate.
2. Software Development - The bot self-identification requirement provides opportunities for software developers to create new types of bots and anti-spamming products.
3. Artificial Intelligence - The bot self-identification feature emphasizes the need to distinguish between trustworthy and untrustworthy bots, creating opportunities for advances in artificial intelligence in bot development.
0.6
Score
Popularity
Activity
Freshness
