Twitter Optimizer
T +'+
Project Description:
Our project focuses on optimizing tweets. People and companies largely tweet because they want to be heard. They want lots of views and retweeting of their content. The challenge is how to optimize a tweet, in order to grab the attention of their followers and increase the likelihood of those followers retweeting. Our project will create a tool that gives each user a set of information regarding the user's tweets and the user friend's tweets, with the purpose of giving the user more information about what and how things are being tweeted in his immediate circle of friends. This tool will attempt to reduce twitter's "illusion of an audience" and attempt to show the user which friends are more engaged in twitter, and what they are engaged in. By giving users a feedback on what their friends are following, and what they are retweeting about, they can identify certain trends among their friends that could make their tweet more appealing and therefore increase the chances of them replying or retweeting to their tweets. We plan to research what aspects of a tweet lead to the most views and retweets, then develop the tool that automatically takes a normal tweet and shows the user a set of information so that their tweet can be "optimized".
Our project focuses on optimizing tweets. People and companies largely tweet because they want to be heard. They want lots of views and retweeting of their content. The challenge is how to optimize a tweet, in order to grab the attention of their followers and increase the likelihood of those followers retweeting. Our project will create a tool that gives each user a set of information regarding the user's tweets and the user friend's tweets, with the purpose of giving the user more information about what and how things are being tweeted in his immediate circle of friends. This tool will attempt to reduce twitter's "illusion of an audience" and attempt to show the user which friends are more engaged in twitter, and what they are engaged in. By giving users a feedback on what their friends are following, and what they are retweeting about, they can identify certain trends among their friends that could make their tweet more appealing and therefore increase the chances of them replying or retweeting to their tweets. We plan to research what aspects of a tweet lead to the most views and retweets, then develop the tool that automatically takes a normal tweet and shows the user a set of information so that their tweet can be "optimized".
