All readings will be available in this section, which will populate as the semester continues.
The first reading is the Introduction of the textbook, “They Say, I Say.” I will post a version of this on Blackboard.
Our three essays will be based on the main topics of the textbook readings:
- How Can We Bridge the Differences that Divide Us?
- Is College the Best Option?
- Are We In a Race Against the Machine?
- What’s Gender Got To Do With It?
- What’s There To Eat?
During the semester, we will choose which questions to focus on, depending on your main interests.
The following is content related to bridging differences:
The Other Side is Not Dumb by Sean Blanda
The following is content related to education:
Two Years Are Better Than Four by Liz Addison
The following is content related to whether or not we are in a race against the machine:
Google, Democracy and the Truth About the Internet Search by Carole Cadwalladr
Does Texting Affect Writing by Michaela Cullington p. 462
How I Learned to Love Snapchat by Jenna Wortham p. 474
Go Ahead: Waste Time on the Internet by Kenneth Goldsmith p. 500
Does a Protest’s Size Matter by Zeynep Tufekci
The following is content related to gender:
Teaching Men to Be Emotionally Honest by Andrew Reiner p. 589
From He to She in First Grade by Laurie Frankel p. 583
What About Gender Roles in Same Sex Relationships by Stephen Mays p. 596
Artificial Intelligence’s White Guy Problem by Kate Crawford p. 599
The following are food related readings:
Escape From the Western Diet by Michael Pollan p. 624 in textbook
Why Don’t Convenience Stores Sell Better Food by Olga Khazan p. 632
Don’t Blame the Eater by David Zinczenko p. 647
The Extraordinary Science of Addictive Junk Food by Michael Moss p. 656
How Junk Food Can End Obesity by David H. Freedman p. 681 in textbook
The following is the BMCC MLA format syle guide:
MLA-8th-revised-August-2016The following is a list of useful templates from the book, They Say I Say by Gerald Graff, Cathy Birkenstein and Russell Durst:
They Say, I Say - Index of Templates