Math and Media: Student Use Math to Track Media Bias
Summary
|
Gender/Media |
New
York Times |
Washington
Post |
USA
Today |
|
Women |
11% |
13% |
30% |
|
Men |
55% |
|
Race/
Impact |
Positive |
Negative |
|
White
Men |
55% Government
and business |
|
|
Men of
color |
30% Athletes |
14% Criminals |
Petterson wants readers and students to realize (or do a
study) how genders and races affect the front-cover page of the media either
positively or negatively. Thus, positive images tend to promote positive
communities while negative images tend to tear down and reaffirm stereotyping
among people of color in that community. Furthermore, students can use math
(simple computation, average, and graphing) to compile media data ranging from
local newspapers to magazines, etc. There are endless possibilities to use math
to collect data and analyze it. Students can also use color coding/highlighting
to identify and organize various data such as quoting by gender, race,
government vs. non-government officials, celebrity status, justice and peace,
and crime and drug, etc. Using basic math calculation to compile data can show
how media impact genders, people of color, and various issues out there, etc.
The result would be eyes opening and interesting to see how media and math can
be used. Let us have fun learning and discovering something new or something
that also exists out there.
Track
Media Bias (pp. 147-148). Milwaukee, WI: Rethinking Schools Ltd.
Hi Loen, I love how numbers can speak volumes! I am a math lover and find it so interesting when a story can be told using them. This was a great way for students to discover bias in media.
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