Jun 26, 2020
Case Study

Is Mark Cuban a socialist, a communist, a globalist... or something else? How Trump supporters attack another billionaire

Victoriano Izquierdo
Mark Cuban is one of the wealthiest people in America, with an estimated net worth of $4.1 billion. He also has almost 8M followers on Twitter and everytime he tweets to support stimulus packages, talks about white privileges , endorse Joe Biden he gets literally thousands of mentions and replies calling him a communist, socialist, globalist... and many other ideological terms.
Since it is impossible to process all these comments manually, he asked for a tool to analyze them. Some people mentioned Graphext in the replies to that tweet (thanks!). We though it would be an interesting opportunity to explore how Trump's supporters perceive some of the new (like Universal Basic Income) and old ideas (Stimulus packages) that a billionaire that could have run for president as a Republican defends after the COVID-19 crisis.

He is called more often a Liberal than a Socialist, Communist or Globalist...

One of the coolest things that makes Graphext quite unique at analyzing text data is the possibility of not only counting how many times some keywords you are interested in were used , but finding and connecting other terms that are even more relevant in the corpus but you couldn't think of in the first place. We use something called word2vec models to compute the simmilarities between each pair of keywords and then network analysis to cluster simmilar terms to find more maningful patterns.

On the chart above, we selected all terms related to ideology and made the size of the terms according to the number of times they appeared in the mentions. There are many different terms related to Communism (marxist, commie), Socialism and Globalism, but we also see how the label Liberal is the biggest one by far (although merging all the red ones they receive a simmilar number of mentions). Many other people also talk abour Libertarianism, Conservatism or Authoritarism (that are not always mentioned to talk about Cuban's ideology but rather about Trump)

Some tweets will make him look more like a socialist, a communist or a globalist

Trying to answer Mark's original question, we will focus only on the mentions and replies that call him a Socialist, Communist or Globalist. As we can see on the chart there are some spikes during the last 2 months and we compile the most popular posts that sparked these type of mentions.

By using only these exact terms we got 863 mentions, which is about 1% of the total number of mentions and replies he got over these months, but still a significant amount of tweets in absolute terms that would be 2 or 3 times bigger if we added the rest of ideological keywords we indentified in the previous insight.

On this other chart we put a sample of specific tweets he got for each one of these terms in case you want to have more context about why people call him this way. You will see for instance that too many people make the easy joke of Cuban with Cuban Socialist/Communist Policy.

¿How did we do this analysis?

With Graphext. It took us less that 30 minutes to get, process and find these insights. We are opening a freemium version of Graphext called Public, if you are interested go and register in the waiting list!

Want to do something like this?

Start now

Other stories

Cómo el Congreso de los Diputados tuiteó durante el Estado de Alarma

Prácticamente todos los diputados del Congreso actual, la XIV legislatura, tienen cuenta en Twitter y gran parte de su trabajo consiste en leer y escribir tweets. Para bien o para mal, los políticos nunca han tenido más poder y facilidad para mandar directamente sus mensajes a los ciudadnos sin el filtro de la prensa. Analizamos las principales narrativas que cada partido movió.

see more >

How US Congress Tweets in 2020

We analyzed almost 200K tweets from members of Congress, comparing across parties and seeing what worked for each one. We found interesting insights by analyzing the way each party worded their opinions.

see more >

Finding opportunities in Madrid's Real Estate sector

We analyzed more than 20k advertisements in real estate websites to try to find underpriced houses with Graphext's predictive algorithms. Along the way we looked into the relationships between prices and factors such as education level or location index to try to find insights and patterns in the data.

see more >

Airlines, the 2008 financial crisis and the lipstick effect

We analyzed 30K airlines services reviews and saw that there are clear jumps in ratings marked by the 2008 financial crisis and subsequent economic recovery. Could these factors have impacted consumers, or have airlines improved their services? We used Graphext to gain insight into the data and try to find an answer to these questions.

see more >

Subscribe to new blogposts

Thank you! Your submission has been received!

Sorry. Something failed

Ready to try Graphext?

Want to know more about our smart data discovery tool?
Ask us for a demo!

Start now