It is hard for me to admit, as an aspiring journalist, but the field of journalism is full of moral/ethical gray areas. On one hand, we stress to report the facts, but on the flip side, what is quality writing or a good story without putting a little bit of yourself in the piece? We are told that we need to have our own unique voice, but how can we do this if we only spout out cold hard facts like a computer? In order to be a journalist, there is a fine line to walk in order to find this balance.
So that brings up the question: what is truth? Journalists are only to report the truth (lest we be numbered among the tabloid writers), but are predictions truth? Or is truth relative, and if so, how do we then determine the ethics of what we write? And here arrives on the scene another gray area journalists step into. According to author and financial journalist, Michael Lewis, "knowledge is prediction" (Source). If we go by that logic, then so long as we have the knowledge on the subject, then we can make the predictions. As rational as that sounds on paper, many would argue that that fact has proven to be incorrect on several occasions.
Let's take a look at the biggest political prediction blunder of the century thus far: the 2016 elections. This has to be a prime example of political predictions in journalism missing the mark.... big time. Everyone was sure that Hillary would beat Trump in the 2016 presidential elections. So sure that even Washington Post columnist, Dana Milbank swore that if Trump won then he'd eat his own printed column of predictions... as it turned out, he had to eat his column.
In this case, the predictions even went beyond who would win the election. But there were even predictions that the poll turnouts themselves would be at an all time high because people were so eager to vote against Trump. That turned out to be in incorrect prediction as well. The data that journalist were spouting out was not pulled out of thin air, and yet, their predictions were not true. It seemed no matter how many polls were taken or how much data was gathered, the predictions were still flat out wrong. While some argue that they were in fact correct because Hillary did win the popular vote, still didn't change the fact that Trump is the current president.
"But forecasting is complicated. The chance that a prediction can go awry is higher than people realize. Bad data, poor modelling, and insufficient communication are all real threats to even seasoned journalist." (Source).
"There's no penalty for being wrong. You can blithely go on making another evidence-free prediction with no consequences," Columbia University journalism professor William Grueskin said. (Source).
The truth is not all political pundits are this careful with spreading information, and not all the predictions being showed nationwide are even from so call "accredited" people. Currently among social media users, political pundits are rising up and giving their opinions to millions of followers. These are teenagers or young adults that are social media influencers some even too young to vote themselves. It is a know fact that most of the young adult and adolescent population are now getting their news from social media, so it makes sense that pundits would begin to emerge on these platforms. On Tik Tok, hype houses are being created. Both parties are represented, and they are "virtual houses" for people affiliated with certain political parties to follow to get facts and information about politics and the upcoming election.
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