final exam PAGE OF 1 3 COMM 1100 final exam An exegesis is a critical explanation and interpretation of a text. For this take-home exam, you will choose two quotes (listed below) and conduct an...

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final exam PAGE OF 1 3 COMM 1100 final exam An exegesis is a critical explanation and interpretation of a text. For this take-home exam, you will choose two quotes (listed below) and conduct an exegesis on each of them. The exam is designed for you to show off your knowledge and interpretation of required course readings, so be sure to draw on an array of required course readings in your an- swers! Required readings for this exam means the readings listed on the syllabus for October 29 - December 9 inclusive. important! -Follow APA formatting in your work. You can find out more about APA formatting here. -Word count: 1000 minimum-1150 words maximum. -Submit your work as a Word file (.docx) or a PDF (.pdf). No other formats will be accepted. -Deadline: 11:59pm ET December 11 2020. This deadline is non-negotiable. Extensions will not be granted. Your work cannot be resubmitted for any reason once you have uploaded it to the Canvas drop-box. STEP #1 Choose one quote from the list below, and place it in the con- text of the reading as a whole. What role does it play within the reading — what specific idea and/or issue does it help us focus on? Why is this idea and/or issue important for the read- ing’s overall argument? STEP #2 Discuss how this quote relates to other relevant required readings. How does this quote help us look more carefully at a particular communication and media studies problem ad- dressed in the other readings you have selected? What does it add to the perspective(s) found in these other readings, and why is this addition significant? _________________________________________________________________________________________________________________________________________ COMM 1100: INTRODUCTION TO COMMUNICATION STUDIES—FALL 2020 DR. ANDREA BRAITHWAITE https://guides.library.uoit.ca/citation PAGE OF 2 3 tips and reminders: -Review the rubric available on Canvas, to ensure you’re meeting all of the exam’s requirements. -Present your ideas in full sentences and proper paragraphs. Accurately and completely reference each source you site. Be familiar with Ontario Tech’s academic integrity policies and abide by them. -The goal of this take-home exam is to engage directly with the required course readings from October 29 - December 9. All of these readings are listed on the syllabus. No external research is required, and you will not receive any credit for any external research conducted or incorporated. -Back your work up regularly, keep rough drafts as separate files, and give yourself extra time to upload your file. Be prepared for technical issues. They do not constitute exceptional circumstances and will not be considered as such if you do not meet the deadline. -Neither myself nor our teaching assistants will review any version of your work before the deadline. This is an exam, and you are solely responsible for the content of your submission. -Deadline: Due 11:59pm ET December 11 2020. This deadline is non-negotiable. Exten- sions will not be granted. Your work cannot be resubmitted for any reason once you have uploaded it to the Canvas drop-box. quotes: Cohn: “A lack of care and investment by tech companies towards users who are not white and male allows racism and sexism to creep into search engines, social networks and other algorithmic technologies.” Gauntlett: “The effects model therefore performs the double deception of presuming (a) that the media presents a singular and clear-cut ‘message’, and (b) that the proponents of the effects model are in a position to identify what that message is.” Gerbner: “What is most likely to cultivate stable and common conceptions of reality is, therefore, the overall pattern of programming to which total communities are regularly exposed over long STEP #3 Come up with one research question we could ask by drawing on this quote. Why is this research question worth investigat- ing? How will it encourage us to think more critically about the idea(s) and/or issue(s) you identified in steps #1 and #2? STEP #4 Choose a second quote from the list below, and go through steps #1 -#3 again for a second exegesis! _________________________________________________________________________________________________________________________________________ COMM 1100: INTRODUCTION TO COMMUNICATION STUDIES—FALL 2020 DR. ANDREA BRAITHWAITE https://academicintegrity.ontariotechu.ca/students/index.php PAGE OF 3 3 periods of time. That is the pattern of settings, casting, social typing, actions, and related outcomes that cuts across program types and viewing modes and defines the world of television.” Greenfield (“Rise of the Machines”): “The picture we are left with is that of our surroundings furi- ously vacuuming up information, every square metre of seemingly banal pavement yielding so much data about its uses and its users that nobody yet knows what to do with it all. And it is at this scale of activity that the guiding ideology of the internet of things comes into clearest focus.” Groen: “Artificial intelligence may have cracked the code on certain tasks that typically require human smarts, but in order to learn, these algorithms need vast quantities of data that humans have produced. They hoover up that information, rummage around in search of commonalities and correlations, and then offer a classification or prediction . . . based on the patterns they detect.” Jenkins: “Ultimately, our media future could depend on the kind of uneasy truce that gets bro- kered between commercial media and collective intelligence. Imagine a world where there are two kinds of media power: one comes through media concentration, where any message gains authori- ty simply by being broadcast on network television; the other comes through collective intelli- gence, where a message gains visibility only if it is deemed relevant to a loose network of diverse publics.” Pooley: “The stuff that we study—internet memes, for example, or self-learning algorithms—are characterized by ceaseless churn. Even the categories we use, like ‘audience’ or ‘content' or ‘pro- ducer,’ get washed away by the pace of change. There is nothing fixed or frozen to linger on; every- thing we study is on the move, looping, dynamic, and messy.” Spigel: “The smart home is really a kind of laboratory for figuring out the future in the context of present-day transitions – including not simply technological changes, but also changes in the sexu- al division of labour, new forms of global commerce, new household configurations and new con- sumer demographics. In this regard, there is a kind of double (but not necessarily separate) vision of the smart house.” Storey: “A great deal of the difficulty arises from the absent other which always haunts any defini- tion we might use. It is never enough to speak of popular culture; we have always to acknowledge that with which it is being contrasted. And whichever of popular culture’s others we employ, mass culture, high culture, working-class culture, folk culture, etc., it will carry into the definition of popular culture a specific theoretical and political inflection.” _________________________________________________________________________________________________________________________________________ COMM 1100: INTRODUCTION TO COMMUNICATION STUDIES—FALL 2020 DR. ANDREA BRAITHWAITE tips and reminders: quotes: https://www.theguardian.com/technology/2017/jun/06/internet-of-things-smart-home-smart-city https://www.nytimes.com/2019/02/05/business/media/artificial-intelligence-journalism-robots.html https://thewalrus.ca/how-we-made-ai-as-racist-and-sexist-as-humans/ https://theconversation.com/googles-algorithms-discriminate-against-women-and-people-of-colour-112516 http://eng1131adaptations.pbworks.com/f/Jenkins%2C%2BHenry%2B%2B-%2BThe%2BCultural%2BLogic%2Bof%2BMedia%2BConvergence.pdf https://longreads.com/2017/06/13/a-sociology-of-the-smartphone/ https://uniteyouthdublin.files.wordpress.com/2015/01/john_storey_cultural_theory_and_popular_culturebookzz-org.pdf https://www.newframe.com/cancelling-the-apocalypse/ http://davidgauntlett.com/wp-content/uploads/2018/04/Ten-Things-Wrong-2006-version.pdf Key Concepts: Introduction to Communication Studies Massive Audience Active Audience Indirect Effects What is pop culture Hegemony Convergence culture Participatory culture Algorithms/Artificial Intelligence Big data Digital enclosure The internet of things
Answered Same DayDec 08, 2021

Answer To: final exam PAGE OF 1 3 COMM 1100 final exam An exegesis is a critical explanation and interpretation...

Azra S answered on Dec 10 2021
139 Votes
Are Machines Becoming Too “SMART”?                            2
Are Machines Becoming Too “SMART”?
Nono Tso
COMM 1100
Introduction To Communication Studies—Fall 2020
Dr. Andrea Braithwaite
December 10, 2020
Are Ma
chines Becoming Too “SMART”?
The rise of artificial intelligence is the talk of the day today. Everything around is becoming a part of the interconnected world that we live in. The daily insignificant happenings of our lives are being recorded in silence as we connect device after device with a mysterious world of artificial intelligence without knowing the extent to which we can be exploited. This is the main theme discussed by Greenfield in the article, “Rise of the machines: who is the ‘internet of things’ good for?”. The quote that has been selected for exegesis is Greenfield’s quote from this article that reads, “The picture we are left with is that of our surroundings furiously vacuuming up information, every square metre of seemingly banal pavement yielding so much data about its uses and its users that nobody yet knows what to do with it all. And it is at this scale of activity that the guiding ideology of the internet of things comes into clearest focus.” (Greenfield, 2017).
The quote describes a kind of frenzied rate at which information regarding us, the very smallest to the very largest, is being gathered through artificial intelligence. It gives an idea about just how much information is and can be, exploited by conglomerates to use as they please. The issue the quote is addressing is its implication regarding the scale at which data is being gathered about us and from around us and that we, by making our lives “smarter” are actually giving away more than we think we are. This issue is important for the reading’s overall argument because only when we understand the scale at which the big companies are gathering information about us, only then can we understand what the writer is trying to imply, that the casual connections we are making in the name of making...
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