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These Three New Tools Are Helping Twitter Users Visualize Information For Free

Thanks to Indiana University, researcher are getting the chance to visualize the spread of networks and different information on Twitter's platform.

A new report from the university has spoken in regards to its Observatory linked to social media and highlighted the launch of various new tools for Twitter.

In this way, users can best analyze information that’s spread across the various apps in more detail. Hence, this means getting an up close and personal look at how a particular tweet moves on the platform and what it takes for a trend to go viral on the app.

The particular collection of tools doesn’t cost users a penny and is also easily accessible. They deeply examine all sorts of conversations, texts, and even main players involved in building momentum around details like hashtags and even various tweets.

The first tool called Trends Tool is designed to examine the volume of a tweet, thanks to the hashtag or other keywords it’s affiliated with. They assess the viral topic and also any brands, shares, or products involved. One caveat though is this tool allows only 1 month span of data analysis. 


The next tool called the Networks Tool produces three-dimensional maps that display links between mentions, keywords, and retweets with other types of information.

Meanwhile, the final tool called the BotAmp tool can outline bot activity for any particular keyword seen through various topics.

Indiana University says it’s the perfect way to give users insight into how the viral trend works and who the real players in this ordeal are. It’s like getting a first-hand look at the world of polarization and exploration.

These tools can even go as far as collecting data from 10% of tweets made publicly. These undergo the process of being indexed and then examined in detail. And the best bit being is how data gets stored for as long as three whole years.

This way, you can even see how trends altered with time. It also provided so many researchers with the best way to realize that bad actors end up deleting so much content on the app so as to limit the tweet volume.

The researchers also used the tools to figure out how so many people even go to the extent of linking liked content with something that’s unliked before it undergoes deletion. This way, they can artificially amp up particular content that’s popular without being detected.

So who are these tools designed for in the first place? Well, for anyone and everyone. This ranges from brands to all sorts of publishers out there today. In particular, those who want to take a big nose dive into the working of social networks.

Remember, there’s no better way to see how digital platforms’ systems perform than this.

Read next: Twitter Tests New Unexpected Service Where Users Can Follow Others Without Making An Account

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