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Effects of biased media reporting
Media bias comparison
Media bias comparison
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Upon reading Darrel Huff’s work “How to Lie with Statistics”, it’s clear that not everything we see on television or read in the newspaper carries as much credibility as promised. It’s easy to manipulate facts within the media, everyday advertisements, politics and so on, to make the presented statistics seem true to those who view them. It’s when the viewers investigate further into the data that they evaluate if the facts are truly accurate. There are many ways to check the credibility of statistical facts such as, looking closer at polls and surveys conducted by double checking for possible rigging, look into the facts for biased opinions; take the total number of participants into account, also watch for oversimplification or exaggeration. …show more content…
They are used during government elections, medical research studies and so on. Obviously, we think of how this system can be flawed and possibly rigged to give a false outcome. Huff made some points in his book “How to lie with statistics” that we may not have considered to be true during a government election, he said “Some of the strongest feeling against public-opinion polls is found in liberal or left-wing circles, where it is rather commonly believed that polls are generally rigged.” (pg.26) Huff went on to say “Behind this view is the fact that poll results so often fail to square with the opinions and desires of those whose thinking is not in the conservative direction.” (pg.26)
This example refers to the polls that are held during an election and how people in the democratic party are quick to believe a vote is rigged instead of considering other reasons for the outcome. Some of these reasons could include indecisiveness of the voters or events that take place following the poll that will alter the stand-point of the
Retrieved from http://content.time.com/time/specials/2007/la_riot/article/0,28804,1614117_1614084_1614831,00.html. Levy, W. (2013). The 'Standard'. United States presidential election of 2000.
Joel Best’s Damned Lies and Statistics is a book all about recognizing statistics that are legitimate and others that are really quite horrible. The goal of this book is not that the average every day person be able to read a statistical table from a scholarly journal, but rather that anyone could personally value a statistic he or she may come across in a newspaper article or on a news program. Best was essentially effective in achieving his goal; however, he was effective to the point of overdoing his job of showing that there are bad statistics which give readers cause to evaluate them outside of hearing them on the news.
Fox news has been known to have controversies on whether or not they can be trusted, and where they stand in certain situations, stirring many articles and researchers to determine their reliability. It has been researched that approximately sixty percent of all “facts” reported by Fox news are false (Mintpress News Desk). The Network has become one of the biggest sources that lie to the public, beating numbers even from CNN and MSNBC. A poll from the Pew Research Center Project for Excellence in Journalism was determining the percentage of commentary/opinion and factual reporting for three different news groups: Fox, CNN, and MSNBC. Fox news has been shown to be forty-five percent factual reporting, but fifty-five
For example, imagine that Candidate X and Candidate Y are both running for president. Perhaps Candidate X is a staunch supporter of climate change reform whereas Candidate Y is a stanch supporter of LGBT rights. If you feel passionately about both climate change and LGBT rights, it is possible that you may support both candidates. However, under the current electoral system in America, there is no way for you to actively support both candidates at the polls. This has implications at a societal level in that if many people support both candidates (but only vote for one of them), both candidates will end the election with an amount of votes that does not reflect their actual support. Therefore, the amount of support expressed through the polls (the MNM) would not accurately repre...
Confirmation Bias: A perfect example would pertain to when the victims of sexual assault from the University of North Carolina stuck together, they bonded when no one else would listen and believe them. They sought out each other and many others around the United States as the film continued until they had proven their point. The two women, Andrea and Annie just kept moving forward while avoiding those that
Best, Joel. Stat-Spotting: A Field Guide to Identifying Dubious Data. California: University of California Press, 2008.
Since the September 11th attacks, the media has become more bias in its portrayal of ethnic minorities. A news story may not say “Black people may rob your house” but their bias portrayal in the media would make you believe it (Schemer & Wirth). The article features a section on several experiments...
In the last three decades, polls became an important instrument for the media, especially television networks, to determine who wins and who loses the election. Caprini conducted a study about the impact of the early prediction of a winner in the 1980 presidential race by the television networks. He observed that, shortly after 8 p.m. Eastern standard time, NBC announced that, according to its analysis of exit poll data, Ronald Reagan was to be the next president of the United States (Caprini, 1984, p. 866). That early call was controversial because the polls in many states were still open at the time and, in some of th...
...en Goldachre. (2011). The statistical error that just keeps on coming. Available: http://www.guardian.co.uk/. Last accessed 10/12/2011.
Probability and Statistics most widespread use is in the arena of gambling. Gambling is big all over the world and lots of money is won and lost with their aid. In horse racing especially the statistics of a horse in terms of its physical condition and winning history sway numbers of persons into believing that the mathematical evidence that is derived can actually be a good indicator of a race’s outcome. Usually it is if the odds or probability are great in favor of the desired outcome. However the future is uncertain and races can turn out any of a number of different ways.
But how can we be sure that the news is not biased? Are we receiving information accurately, with details being simple to understand? After further research on media framing, I’ve come to realize that it is not rare to be someone who is skeptical of the news. In decades before now, media did a better job serving the public interests inside their news stories (Callaghan, 2001, p.186). But now, journalists may mix up facts intentionally and build a different story (Callaghan, 2001, p.184). How can one feel safe after knowing the media changes stories to keep us interested? Boring stories may not keep someone excited or fully interested, but at least people would not be misinformed and can, in a way, better prepare for what they will face outside their
Polls have a role in political campaigns and shaping government policies but recently the reliability of polls have come into question. The Republican polls provided the information to Presidential candidate Mitt Romney that he had a strong chance of winning key battle ground states. The polls showed "he had at least 267 out of the 270 electoral votes needed to win the election" (Hoffman). When watching the election night returns the reality was Romney only received 206 Electoral College votes far away from the magic number needed to win or tie the national election. The candidate’s team used these polls and focused on states that showed a strong chance to gain votes. Romney focused his energy in Ohio and Pennsylvania, both states he eventually lost.
I will begin with my survey finding. I conducted a survey of 10 people, both males and females, consisting of 10 questions. Now I figured this would happen, but it was the opposite of what I thought they would answer. All of the questions were non-bias and helped me to get a better understanding of the relationship between attractiveness and alcohol.
Real data from the media makes the public more secure with what’s going on in the world. People want to know the truth and that’s what they deserve. False data doesn’t give the public the information they need. “Fake news...
...rue and lie. It depends on how it is used, collected and analyzed. Therefore, readers should understand what reliable statistics are. Yet, statistics are very important for researchers, scientists, students, employers and individuals to make decisions as well as to evidence any claims or scientific theories.