TweetCred is a real-time, web-based system developed by Aditi Gupta to assess the credibility of content on Twitter. It provides a credibility rating between 1 to 7 for each tweet on the Twitter timeline. The credibility score is computed using a supervised automated ranking algorithm that takes into account 45 features.

The system considers multiple factors to determine the credibility of a tweet. This includes analyzing the tweet content, properties of the user who posted the tweet, and any external URLs or pictures shared in the tweet. By considering these factors, TweetCred aims to provide users with a reliable assessment of the credibility of tweets they come across on Twitter.

With a credibility score ranging from 1 (low credibility) to 7 (high credibility), TweetCred helps users make informed decisions about the trustworthiness of the content they encounter on Twitter. It offers a valuable tool for anyone looking to navigate the vast amount of information shared on the platform.

System developer: Nilaksh Das