Accuracy in Media

Researchers from Columbia University and Rutgers University claimed that the media is not biased, contrary to popular views and opinions. Their study, published in an academic publication, said that the answer to the question of if there is media bias is “a resounding no.”

The study compared the New York Times and Reuters, which are two establishment and mainstream media outlets. The authors said they created computer algorithms to measure “the relative proportion of the difference between negative and positive articles by the two media” and Trump then compared it to “non-Trump’ stories and articles.

Among their findings, the study said that both the Times and Reuters used positive and negative emotions. It appeared that the authors that because both outlets had positive and negative emotions in their stories, that it was fair and unbiased coverage. The study said that when outlets “did use words with strong emotions, the proportion of positive to negative words was close to 50-50.”

However, the study appeared to not take into account headlines, which matter more and more in the world of shorter attention spans of readers and audiences. Also, the study appeared to ignore multiple errors and mistakes that the Times has made during the Trump presidency, along with other media outlets having to retract their stories due to unverifiable conjectures being used as facts.

It appears that this study was far from accurate in its data sets and analyses, even though it used a computer algorithm to eliminate bias. The study fell short of proving media bias’s existence or non-existence, which does not add any valuable information to the American public.

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