In this week’s Introduction to Digital Communication class, we discussed “Big Data” and how it influences what we do in our daily lives. According to SAS Institute Inc., “Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.”

The bold part of the definition is important to consumers because it changes our buying experience. For example (a favorite example mentioned in class), if I am booking a flight on Expedia and it says “20 people are looking at this flight right now” or “2 spots left on this flight” – typically I would purchase the flight quickly so I don’t lose my spot. But, this is just marketing. Big Data is helping Expedia and other companies create tactics like the ones stated above to make consumers spend money.

Big Data changes how we shop, travel, eat and even how we interpret news stories. While their are tools to fight against fake news, sometimes it relies on the user to determine the validity of a story.

“The problem is that users are generally disinclined to take the extra effort to check. Even going to a website, tool, or app to verify a story before sharing it is more effort than most people will take,” Bernard Marr said in his Fake News: How Big Data And AI Can Help article. “Until big data, artificial intelligence and machine learning enabled tools become more sophisticated and reliable, we need to focus on educating people (starting as early as primary school) to be critical thinkers and not take every story at face value.”

While the above article mentions the tools that are helping fix this void of sharing or reporting fake news, I agree that the problem does rely on the user. We talked a couple weeks ago in our class about how the Internet has changed how we read, write, speak and listen – all of which definitely apply to social media. Our attention span is short; we want to read something short and know the point behind it immediately.

Many people don’t open an article before reading it – they just assume it is true. I believe this is how fake news is spread. Users see a headline of an article that sparks their interest, they share it, it keeps circulating, and before we know it – it’s everywhere (and it is fake). Most articles like this would be reported as “fake” if the users simply read it before sharing. I see this happen a lot on my personal feed.

Unless we educate users from the very beginning to be critical thinkers, will fake news ever stop being shared? Will users read more than just the headline? To that end, can Big Data really prevent fake news? I’m interested in your thoughts – leave your comments below!

P.S. Here is some other news about Big Data:

• Big Data has four parts: volume, variety, velocity and veracity.
• Big Data has been on the rise for many decades. You can learn more about its history by reading this Forbes article.