Today’s social media lanscape has made it quite challenging to receive unfiltered media and news stories. Misinformation and fake news abound. It is absolutely necessary for all people to understand the biases that surrounded them as well as understand how their own biases affect the way they interact with information. It is about media literarcy. Whether we are writing an argumentative essay for school, including information for a report at work, or we decide to share information in our social networks, we must first assess (vet) any piece of information that comes our way, whether in words, in video, or any other possible format, for its potential biases, hidden agendas, fallacies, or possible conflicts of interest. The entire umbrella of this topic is known as media literarcy. And we must all practice good media literacy skills so when we use information, we can more confident it is valid. Thus, for this assignment we ask you to analyze the 7 sources of all bias information and how knowing these 7 sources will affect your media literarcy moving forward. Therefore, you may use first person voice. Please follow these steps before you sit down and write your paper:
Read my latest blog Do Your Biases Affect Your Research &
How You Interact with Information?
Take How Does Your Own Biases Affect How You Interpret Information?
survey here.
Read chapter 1 of Bias Is All Around You book.
(This book is a nonprofit effort. I do not receive any income from it)
In 2018 I had presented a unique paper to suggest legislation and other
social media policies to help offset a growing number of fake internet ads
masquerading as news at the Oxford 2018 Internet, Policy, & Politics
Conference. At that conference I learned that some people will share
social media posts without vetting them to get a political candidate elected.
As recently as 2020 I further discovered some people in my own social
networks were sharing unvetted information and spreading false narratives.
The idea to write Bias Is All Around You: A Handbook for Inspecting
Social Media & News Stories soon unfolded and came as a result of the
misinformation associated with the 2020 U.S. election, the pandemic, and
much uncivil unrest.
Continue reading the entire book when you can. It is short with only
57 pages and includes a Bias Assessment Form you can use to assess
bias levels of any social media piece of information or news story you
encounter as well as the sources you use for college essays.
For this paper, first summarize the 7 sources and include one thought
about what each means to you. Discuss KLEMP and how it can help
you ascertain bias levels in any piece of published information.
Discuss how you believe critical thinking and understanding fallacies
will affect your use of media moving forward.
BE SURE YOU INCLUDE A MIX OF PARAPHRASES AND QUOTES TO
DEFEND YOUR CLAIMS FROM THE BOOK.
Now, reflect on how you use information in social media from news stories
and even academic sources you gather for work reports and school papers.
include at least two paragraphs on this. You are reflecting on your future use
of social media and news stories as well as academic sources for papers,
having read the Bias Is All Around You Book, (57 pages) thinking about its
reliabiity tests, how to best critically think, how to use KLEMP and analyze
fallacies, moving forward. Now….. how will you interact with information
bombarding you on your smartphone, and information you look up?
A formal thesis is not needed for this paper. This is a personal reflection
paper. You should introduce the topic by discussing why understanding bias
is important and conclude by how your new knowledge to analyze bias will
help you personally, academically, and professionally.
Total Word Count 1,000 to 1,200 words
Submit in APA or MLA style using Microsoft Word (No PDFS) as a file attachment here
in Blackboard.
. Your paper must first be critiqued
in the proper discussion forum first by your peers. Posting for critiquing is
NOT turning in your final paper here. Do not upload your paper early. Use
critical thinking and reflect deeply about how to interpret bias information.
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