Final Proposal Draft

Topic: Search history used to target individuals with specific ads

Research Question(s):

1) How can we maintain our privacy and prevent apps, such as facebook, from selling our information?

2) How is our search history used to target individuals with specific ads?

3) Could there be a breach in the “Terms & Conditions” rules?

4) Is our privacy violated when apps are using our information or data?

5) what is the contract companies have with one another in regards to consumer data?

Final Draft Proposal:

My research proposal will be based on how our own search history is used to target us with specific ads. I chose this topic because I find it very eerie how quick I receive ads after seconds of only searching them up. Not to mention, how long they last afterwards, months after said search was done! An example of this is; around the month of December looking up retroviewers for my best friend’s birthday. Months later and every now and then, my instagram gives me the occasional retroviewer ad. I also have looked into the “BarkBox” website and even offers discounts!

I would like to focus on the first question: How can we maintain our privacy and prevent apps, such as facebook, from selling our information?

In April of 2018, Facebook’s creator, Mark Zuckerberg had to testify to the US congress for selling user’s data and information to third party apps. He was thoroughly questioned during the days he testified and assured the congress, as well as users, that Facebook did NOT share private information with other apps.

Proposal for the final project (draft)

The topic I would like to conduct my research about is serial killers in popular media.

The reasons why I decided to choose this particular topic are out of my personal interest in Serial offenders and it is relevant to our course since it is going to be an analysis of media and the way they deliver information about serial killers to masses.

The main questions I would like to focus on are:

  • What exactly makes serial killers such a desirable topic of true crime tv shows, documentaries, books, etc. Why not other crime offenders – like frauds, human, drug, weapon trafficking, etc.
  • The way media portray serial killers and the way it is been perceived by people
  • In what range are heavily academic terminology Is used by media and how it affects the way information is perceived.

The two main reasons why I decided to choose this particular topic are out of my personal interest in Serial offenders and it is relevant to our course since it is going to be an analysis of media and the way they deliver information about serial killers to masses.

However, besides that there is one more reason worth mentioning: on the popular streaming platform such as Netflix, Hulu, Amazon prime video, etc., whenever we enter the true-crime or documentary section, majority of the content is related to serial killers and/or serial homicide (in case if the person killed not enough people to be clarified as a serial killer or cold cases without killer’s identity).

Most of the people can list at least 5 serial killers – Jeffrey Dahmer, Ted Bundy, John Wayne Gacy, Albert DeSalvo (aka Boston Strangler) and Dennis Rader (aka BTK killer) – are the most famous killer in the U.S. and I am not even counting Zodiac killer, who was never caught but remains a popular figure in the true crime world. But for instance, how many names of the famous Drug Lords ordinary people know? Except for Pablo Escobar? Even though there are quite a lot of active Drug Cartels such as Sinaloa, Tijuana, Gulf, Juarez Cartels.

I’d like to focus on Q#1 since it has been questioned, I was wondering about for a while now. But I may change the focus of my study for this project if I won’t find enough literature on the question.

In terms of the research process – I will use my own books about Serial Killers and Serial homicide for essential information and terminology. As for exploring the topic of the questions – I would dig into the library in order to find related articles, dissertations, and even books. I already started to do so and I found a few interesting works that may help me in my research but I can’t say that for sure at this point because I didn’t have a chance to analyze those articles carefully.

 

Final Project Proposal

I plan on investigating algorithms in the Criminal Justice System because I discover it prejudicial how a judge decides whether to send you home or to jail to await trial using math.  They call it “risk assessment tools,” where they fill out your history, demographics information, and essential details to obtain a score. That score will determine how likely you are to commit another crime or show up at your next hearing date. The problem is when risk assessment tools become racist against people of color and Latinos. We need to understand how algorithms are created to define if they are useful and neutral. According to “The era of blind faith in big data must end” by Cathy O’Neil, to build an algorithm, you need two things: 1- Data: what happened in the past, and 2- definition of success: the thing you are looking for. In fact, algorithms can go wrong because they can repeat our past practices or patterns. 

I have many questions about using algorithms in the Criminal Justice System. The first, are algorithms a threat to justice? Justice is fair, equal, and balanced for everyone. What happened if that concept of justice is not applied to the reality because algorithms increase discrimination based on race, putting in risk the legislative branch? Judges are focus only on what numbers are on their screen without an in-depth evaluation of the person is in front of them. Another critical question, what data did they use to create “risk assessments tools”? Did they use data from the time people of color and Latinos were discriminated against? If yes, algorithms will repeat the same actions.

I need to find out the different risk assessment tools used by the Criminal Justice System, specifically in New York City in 2019. After I identify which assessments judges are using, I want to verify if algorithms were right. It is important to collect data to analyze the results of judges’ decisions against people of color and Latinos. I think it would be difficult to interview a judge to know his point of view regarding algorithms. Another complex aspect would be to understand how algorithms work since they use mathematical formulas.

Module for March 19-23

Step 1: Writing into the Week-

I think that the most relatable reading was the one about companies advertising. I had seen and tested out the theory in the past, to see if it was true. I haven’t explored all the different ways you can get ads on your phone, such as just speaking of it while your phone is near you. Based on the reading we did for it, I found it really interesting as to how ads can be quickly delivered to an individual. I would like to learn how other companies (other than Facebook and Target)  target their customers, or potential customers.

Step 2: Which reading sparked your interest?

https://www.forbes.com/sites/kashmirhill/2012/02/16/how-target-figured-out-a-teen-girl-was-pregnant-before-her-father-did/#7838d24f6668

Step 3: Research!-

Source Link (John Jay) #1: http://web.b.ebscohost.com.ez.lib.jjay.cuny.edu/ehost/detail/detail?vid=0&sid=4c2df6cb-2f81-4b8c-bd0c-534c9ae38d52%40sessionmgr102&bdata=JnNpdGU9ZWhvc3QtbGl2ZQ%3d%3d#AN=68621986&db=bsu

Source Link (CNBC) #2: https://www.cnbc.com/2018/03/19/how-facebook-ad-tracking-and-targeting-works.html

Step 4: Share your findings-

Source #1: 

This article caught my attention because it offers a different perspective of ways companies can advertise to consumers. The article, written in 2011, explains how beneficial a digital wallet can be to be people. How companies can use the data from a consumer in order to partner with other bigger or smaller companies and offer rewards or incentives for those who purchase such products. At the same time, I think having a digital wallet could also share one’s information based on where purchases are made. If I am constantly buying fast food, chances are that the next time I go out, I will get a notification telling me where the nearest Chipotle is. I think the source is pretty reliable because  it talks about how companies can work with one another in order to promote their products. The author, Kristin Laird is a retail reporter and online editor. 

Source #2:

This article was interesting to me because it was a research done by a senior reporter from the channel CNBC. This article, written in 2018, talks about the different ways Facebook can collect data based on one’s research or while the app is open in the background even if you aren’t using it. My take from this article is that Facebook in its own way is sneaky. The way it is able to gather an individual’s information and distribute it to third party apps. I believe this source is reliable because the report comes from a trusted tv source. CNBC, a TV Channel from New Jersey is what the channel ABC or NBC would be to us, here in New York. While I am aware that sometimes, TV news and its reporters can spread false information, it seems like this article is one that is mainly based on facts and research rather than opinion. The author, Michelle Castillo is a senior reporter for the news company, Cheddar. Up until 2018, she worked for the news company, CNBC.

Step 6: Inquiry Questions-

  1. How quickly are consumers to buy what they are advertised?
  2. Do some companies admit that they “listen in” to conversations in order to gather information?
  3. How can we maintain our privacy and prevent apps, such as Facebook, from selling our information to third party apps.
  4. Why is it that not all companies sell our information? (ex. My dad is a member of BJ’s, yet the promotions and discounts we get are not really picked based on what we buy literally every time we go, yet they claim it is all “handpicked for us”.)

Research and Findings: eBureau and creditworthiness

As a person, who moved to the U.S. 2 years ago, I found it’s very absurd to judge people based on their Credit Score and I was shocked that there is such thing as a Credit Score. That’s why the beginning of the article about eScores really impressed me “Americans are obsessed with their scores”. Ironically, I am no different now – checking my credit score frequently as well as my grades for every small assignment I have and even my weight.

I decided to browse our John Jay college library (online of course) to find any articles about eBureau and eScores. And here’s what I found:

America’s three major credit bureaus – Equifax, Experian, and TransUnion – have information about 172 million adults, who have enough data on file. That makes 75 percent of total adults in the country, which means – there are 24 million people without any data available for credit evaluation and also 33 million people with not enough or “thin” credit files. Also, it’s been shown that 15% of rejection is based on a lack of positive credit information or no information at all – not because a person has a bad credit history. That lead bureaus to find alternative, non-traditional ways to analyze consumers – such as checking and debit accounts, utility bills, rent payments, history of address records, criminal history, purchase data, etc.

Additionally, over the last decade since all of our financial information is in our phones – like credit and debit cards, credit score information, etc. eBureau uses mobile phone numbers, emails, and business numbers to get information out of it. As for 2010, they possessed 460 million phone numbers linked to individuals.

Resources:

https://search-proquest-com.ez.lib.jjay.cuny.edu/docview/215232771?accountid=11724&rfr_id=info%3Axri%2Fsid%3Aprimo

https://go-gale-com.ez.lib.jjay.cuny.edu/ps/i.do?p=HWRC&u=cuny_johnjay&id=GALE|A238791035&v=2.1&it=r

 

Kamila Bandwagon and Namecalling

Bandwagon

Example 1: Animal Farm (By George Orwell)

“In the novel Animal Farm, George Orwell uses bandwagon technique effectively. At the very beginning, a song “Beasts of England” seems to be very appealing and catchy, because everyone picks it up so swiftly as if they like the idea. Again, we see this technique when Boxer, a powerful and loyal animal on the farm, promotes bandwagon propaganda inadvertently with his work ethics, as he always tries to work hard. He maintains the view that, “If Comrade Napoleon says it, it must be right.” This shows he wishes to follow Comrade Napoleon and his ideas.

Bandwagon technique continues to exist as the animal only accept the ideals and changing commandments because other animals are doing the same. Another bandwagon technique comes out when Mollie is curious to know whether she will be able to wear precious ribbons and have sugar after Rebellion. However, Snowball informs her that they symbolize slavery and Mollie accepts this without any resistance, although she never believes it.”

Example 2: Julius Caesar (By William Shakespeare)

In William Shakespeare’s playJulius Caesar, Mark Antony delivers his famous speech at the funeral of Caesar, which is a brilliant example of bandwagon. Mark Antony has delivered this magnificent speech to win over the favor of the audience. He negates excuses that Brutus had made, though he had calmed down the public and persuaded them that Caesar had to die for their good. Antony comes forward and tells them that he hopes the crowd would not riot, and convinces them that Cassius and Brutus were murderers and responsible for ripping apart the town. Speaking on a personal level, Antony grabs public attention as he leaves his position and, being a commoner saying, “Friends, Romans, Countrymen.

Name Calling

Example 1: “Sometimes there is an implied threat that if you make an unpopular decision or arrive at a conclusion that isn’t favored, a negative label will be applied to you. For instance, someone might say, ‘Only a naive moron would believe that’ to influence your attitude on an issue. This strategy of anticipatory name calling makes it difficult for you to declare that you favor the negatively valued belief because it means that you make yourself look like a ‘naive moron.’ Anticipatory name-calling can also invoke positive group memberships, such as asserting that ‘all true Americans will agree . . .’ or ‘people in the know think that . . ..’ Anticipatory name calling is a shrewd tactic that can be effective in shaping people’s thinking.”
(Wayne Weiten, Psychology: Themes and Variations, 9th ed. Wadsworth, 2013) “Sometimes there is an implied threat that if you make an unpopular decision or arrive at a conclusion that isn’t favored, a negative label will be applied to you. For instance, someone might say, ‘Only a naive moron would believe that’ to influence your attitude on an issue. This strategy of anticipatory name calling makes it difficult for you to declare that you favor the negatively valued belief because it means that you make yourself look like a ‘naive moron.’ Anticipatory name-calling can also invoke positive group memberships, such as asserting that ‘all true Americans will agree . . .’ or ‘people in the know think that . . ..’ Anticipatory name calling is a shrewd tactic that can be effective in shaping people’s thinking.”
(Wayne Weiten, Psychology: Themes and Variations, 9th ed. Wadsworth, 2013)

“In politics, association is often accomplished by name-calling–linking a person or idea to a negative symbol. The persuader hopes that the receiver will reject the person or idea on the basis of the negative symbol, rather than by examining the evidence. For example, those who oppose budget cuts may refer to fiscally conservative politicians as ‘stingy,’ thus creating a negative association, although the same person could equally be referred to as ‘thrifty’ by supporters. Similarly, candidates have a list of negative words and phrases that they use when speaking about their opponents. Some of these are betray, coercion, collapse, corruption, crisis, decay, destroy, endanger, failure, greed, hypocrisy, incompetent, insecure, liberal, permissive attitude, shallow, sick, traitors, and unionized.”
(Herbert W. Simons, Persuasion in Society. Sage, 2001)

Example 2:

“Sometimes there is an implied threat that if you make an unpopular decision or arrive at a conclusion that isn’t favored, a negative label will be applied to you. For instance, someone might say, ‘Only a naive moron would believe that’ to influence your attitude on an issue. This strategy of anticipatory name calling makes it difficult for you to declare that you favor the negatively valued belief because it means that you make yourself look like a ‘naive moron.’ Anticipatory name-calling can also invoke positive group memberships, such as asserting that ‘all true Americans will agree . . .’ or ‘people in the know think that . . ..’ Anticipatory name calling is a shrewd tactic that can be effective in shaping people’s thinking.”
(Wayne Weiten, Psychology: Themes and Variations, 9th ed. Wadsworth, 2013)

Kamila Ad Analysis

1. The speaker in the ad is a Pepsi-Cola Company.The speaker trying to present themselves that their drink is very tasty and suitable for any meal and any party. He shows on this ad that they are very happy and funny.

2.The message  on the ad says: It fun to cook with this drink, make good confersation, when you drinking you feel like you bouncing.  They enjoy and have fun with drink as is says below photo: WHY TAKE LESS…WHEN PEPSI BEST.

3. The assumptions in the ad is says:MORE BOUNCE TO THE PEPSI BOUNCE.

4.  The audience of the ad IS people who drinking pepsi and smiling.

5. The strategies the ad to try to persuade the audience is the people happy, smile , the picnic floor food and bbq meal.

6.The pathos to presuade the audience to show people is happy and food delicios with this drink Pepsi.

7. The  advertising is very effective will work if a person who is very hungry and  if he or she see this ad and at this moment he or she is feel thirsty, then of course it is effective.  But I also think that it may not work for many people, such as vegetarians, or who are dieting, or those people who are against sugary carbonated drinks.

Instructions March 30-April 2 (Module 2): Proposal Sharing and Revision

**This module has two due dates. Some tasks are due Monday, March 30, and some are due Thursday, April 2, by the end of each respective day. The deadlines for this module have been revised due to CUNY’s “Recalibration Period.” **

**If you are not going to be able to complete all of the tasks, the most important aspect is to turn in a Proposal on Blackboard. This is a required element of your final portfolio.**

For each writing task, I recommend you do the writing in something that saves automatically, like Google Docs, Microsoft Word, or the Notes app on your phone. Or even a piece of paper. Then, copy/paste it onto the course site. This will prevent you from accidentally losing your work.

Topic and Learning Objectives

This week, we’ll be working on our proposals for the final research project.

Learning Objectives:

  1. Students will compose inquiry questions to shape their final projects that are focused, answerable, and use specific, operational language.
  2. Students will create a research proposal based on their inquiry questions, which they will share with their peers
  3. Students will analyze and evaluate their peers’ proposals and offer constructive feedback
  4. Students will synthesize feedback from their peers into revised versions of their proposals

Overview of Tasks

  1. Orient yourself with a Writing Into the Week prompt (share only if you wish)
  2. Browse sample proposals and learn about elements of good inquiry questions
  3. Write your own proposal and post some or all of it on the Course Site by the end of Monday, March 30
  4. Give feedback to at least 2 peers using the elements of good inquiry questions, the Proposal Rubric, and your own perspective as a reader
  5. Revise your proposal and turn it in on Blackboard by the end of Thursday, April 2.

Step 1: Writing Into the Week

Please write for approximately 10-15 minutes on the following questions:

  1. If you already like one or more of the inquiry questions you wrote last week and want to use it for your proposal, what do you already know about this topic? What are the gaps in your knowledge?
  2. If you don’t want to use one of the inquiry questions from last week, what other topics relating to one of the themes of our course readings (algorithmic modeling, college admissions and rankings, online advertising, criminal justice, job applicant systems, shift schedules, credit scores and online e-scores, the insurance industry, Facebook and politics) would you like to investigate further? What aspects of that topic most interest you?
  3. What are the stakes of your question/topic? That is, why is it important? How would the answer affect people? What could or should change based on the answer? What could the information be used for?

You can share your answers as a comment if you want to, but you do not have to share this week.

Step 2: Study Examples

Please skim through the following examples. You don’t need to read each one closely, but do look at each one to get a sense for what a proposal looks like.

Here are some sample proposals from last semester’s students. Each student’s inquiry questions could have been even more specific and operational, but each proposal got a good grade and resulted in a good paper.
Sample 1
Sample 2
Sample 3

Here are some other examples of research proposals, but for another school/class with different requirements.

Writing Good Inquiry Questions

Click here for a very good guide + accompanying video for writing good research questions! Pay special attention to the subsection called “What makes a strong research question?” It lists several criteria with explanations and examples. I recommend reading the whole thing, but will expand on what I think is the most important part below.

In the learning objectives, I used the phrase “specific, operational language.” What does that mean? Operational language has a clearly defined, measurable meaning within its context.

For example, “Good” is not operational language. What counts as good? Who decides that? Do we mean high quality, or morally good? How do we know if something is good?

If our inquiry question is, “Is coffee good for you?”, we could revise “good for you” to be more operational in a bunch of different ways:

  1. How often can a person in average health drink coffee without experiencing any negative health outcomes? (“Good for you” becomes “not causing harms.” Problem: “negative health outcomes” is still not very specific. What outcomes will we be paying attention to?) 
  2. What are the nutritional benefits of drinking coffee? (“Good for you” becomes “has nutritional benefits.” Problem: Coffee can be prepared in many different ways. Are we studying only black coffee? Espresso? Lattes?)
  3. Does drinking coffee offset any of the cognitive effects of sleep deprivation? (Decreased focus, memory, alertness, etc.) (“Good for you” becomes “offsetting the effects of sleep deprivation,” a common reason people drink coffee. Problem: this is not a very focused question. I should probably choose only one effect of sleep deprivation to study, in order to make the research project more manageable.)

Step 3: Write Your Proposal and Share

Instructions for the proposal are here.

Post the final version of your inquiry question(s) as a comment on this post 
OR
Post your entire proposal draft as its own post.

It’s up to you which one you do– do you want feedback on your entire proposal, or just on your inquiry questions?

**This part is due by the end of the day on Monday, March 30**

Step 4: Give Feedback

Give feedback to at least 2 of your classmates. Use these guiding questions (answer as many or as few as you want):

  1. How can they make their inquiry question(s) more specific, answerable, and operational?
  2. For those who chose to share their entire proposal, how well do they meet the criteria listed on the assignment sheet/rubric? In what ways can they revise to meet the guidelines?
  3. What reactions/comments do you have as a reader? What intrigues you? What confuses you? What suggestions do you have, or what directions would you explore if this was your paper?
  4. Do you have any questions for the writer that 1) aren’t already answered in the proposal/inquiry question and 2) should be answered right now? (That is, what would be helpful to know before they do the research? Imagine you’re on a committee deciding whether or not to fund the project. What do you still need to know about the project in order to decide?

Step 5: Revise Your Proposal and Turn It In!

Revise your proposal/questions based on the feedback you receive from your classmates and turn it in on Blackboard by the end of Thursday, April 2.

Research & Find- Loans

I was interested in finding out more about “Could Banks Deny your Loan based on your Facebook Friends?’ because I come from a low-income family, and right now I am the only one who is able to provide for those in my house, this means that at any moment we might have an emergency related to money. My social media is filled up with people who I am somehow closed to, but also meme pages. If I ever find myself in financial need will I need to fear about not getting help because I like to have a laugh here and there? On this article found in John Jay’s Library, “Think Finance Turns to Social Media for Clues to Creditworthiness”, the article talks about how many banks use social media to target future customers, but it can also be a good way to know who is likely to commit  fraud and who is truly having financial difficulty. They believe that not having an account is a ‘red alert’, how about those who are not friendly of technology, but have an impeccable credit record and have never committed fraud? Should they be deny a loan if they ever need one for not falling into today’s needs of having a social media account? Another article, “Borrowers Hit Social-Media Hurdles,” expresses that some banks use reviews in applications such as yelp, and eBay to check small business reviews and decide on their loan applications. Some businessman believe that the data provided by, us, individuals through social media “says more about them than their FICO,” and even though I agree to this part, I still cannot seem to change my mind about redlining someone because of the people around them. It is unfair to those who work hard to maintain a well-organized life, in all aspects, but in this case economically.

Steps 3 & 4: Research and Finding!

It was interesting to read about “The long shadow of bad credit in a job search” by Gary Rivlin, published in The New York Times. This article cites “Nearly half — 47 percent — of employers use credit checks when making a hiring decision, according to a 2012 survey by the Society for Human Resource Management”. 

I did not know that employers run a credit screening when they are in the hiring process. It is no fair that the final decision made was on the credit score. There are many factors to affect your credit health, it is not only because you are irresponsible or careless about your finances.

I found a source through the John Jay library website. It’s called: “Two Essays on Spatial Econometrics and An Essay on Pre-Employment Credit Checks” by Xin Yu and Lucia Dunn, published in 2014. This dissertation consists of three chapters. Chapter 1 and Chapter 2 discuss two topics in spatial econometrics. Chapter 3 discusses one topic on pre-employment credit checks in job markets. In Chapter 3, they show links between credit score and probability of employment. Among current economic studies on employment credit checks, this research is the first one to use a nationally representative sample and deal with the endogeneity problem between credit score and employability. The sample of this study comes from Consumer Finance Monthly (CFM) survey, which contains valuable information on respondents’ employment status and income. CFM survey also allows them to construct an approximation to respondents’ credit scores. Using approximated credit scores, an economic model of employment with endogenous credit score is proposed to quantitatively analyze the relationship between credit score and employability. All model specifications suggest that bad credit score makes people less employable, which may result from pre-employment credit checks.

The second source was an article published on Self.inc called “Can you be denied a job due to bad credit”.  Self is helping thousands of people begin their financial journey with a credit builder account. They understand that building a financial foundation is a daunting task for most people, so they’re dedicated to building a product that will help their customers move two steps in the right direction. They are a member of Federal Deposit Insurance Corporation (FDIC) and Equal Housing Lender.