Category: Inquiry

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Lit review: digital advertising ethics

As I write this, the weather is a lot better than it was since I wrote my first post back in mid-February. So why not take a gander at some literature about digital advertising ethics in the great indoors?

Just as a reminder, the question that we’re posing is “is it really so bad for digital advertisers to have our data since it’s curated to our interests?”

Here are the conclusions we can draw based on a general literature review!

Conclusion #1: Advertising in general has always been ethically questionable

With its lack of regulation, internet advertising is like Times Square 24/7 😵‍💫
Photo by Andrae Ricketts on Unsplash

In an article for the Journal of Promotion Management, Faruk Tanyel, Elnora W. Stuart and Jan Griffin note that consumers have always had negative perceptions of advertising.

In particular, internet advertising has been compared to gigantic billboards on highways, and with no regulation for how ads can be placed and displayed (note that governments can regulate the content),1 while consumers feel bombarded by these ads, advertisers feel motivated to create ads that are catchy and acceptable by their audiences.

Millennials, as the cohort who has lived through the most digital advertising in their lifetimes (internet advertising began in 1994), hold particular negative views on digital advertising, since they have also lived in the heyday of television advertising in their childhoods, then a time of cascading internet advertising as they enter into adulthood. Interestingly, they also are the cohort the most tolerant towards internet advertising, accepting it as part of their realities of being digital citizens.2

It’s this laissez-faire attitude that advertisers are able to penetrate and exploit by creating avenues for more addictive content and campaigns that approach the line of being ethically questionable, since there is no other alternative that has such incredible accuracy (and in most cases, also with precision) than advertising.

Conclusion #2: Digital advertising is incredibly effective

Many young people are getting nutrition advice (or maybe lack thereof) from their favourite influencers – which affect their dietary choices.
Photo by CDC on Unsplash

I bring up the point on accuracy again here. Charlene D. Elliott and Emily Truman from the University of Calgary note that food advertising on digital platforms amongst teenagers in Canada is incredibly accurate.

From being able to target specific genders of teenagers depending on what their platform of preference is, exploiting trends or using their favourite influencers to promote products from Starbucks, Skip the Dishes or Circle K, there have been studies that suggest that this relationship between teenagers and food advertising that food intake in this cohort increases along with these advertising campaigns.3

The federal government has identified a dramatic increase in childhood and youth obesity in the last 30 years. With internet advertising starting 31 years ago, I don’t suggest an explicit correlation between internet advertising and increased childhood obesity, but I also don’t believe that it is out of the question to suggest that this effectively accurate advertising is going to bring the number down anytime soon.4

Conclusion #3: Everyone has ethical responsibilities when it comes to digital advertising

Being in an election cycle means that we’ll be getting lots of conflicting information through digital platforms over the next two weeks. Just like with all advertising, misleading digital advertising has its consequences too.

Other countries have strict guidelines that regulate online advertising that originates from their country. The United Kingdom’s Advertising Standards Authority takes responsibility for policing ads to ensure their accuracy:

For the most part in Canada, advertising, including and especially those online, is an unregulated industry, meaning that neither the government nor advertisers have oversight over claims made in advertising. It’s what makes ads like this one I saw on Facebook this morning possible:

When I clicked on this ad (knowing it was probably fake, considering the incredibly partisan headline allegedly from the CBC and the poor photoshop job), the page looked like this:

This is a pretty convincing ad. If I wasn’t so vigilant, I would have thought it was actually the CBC, but take a look at the URL at the top of my screenshot… that doesn’t seem like a CBC URL. In fact, this entire page is an ad for a shady financial trading platform.

Yet despite that, no one except the consumer is responsible for this. Meta is complicit in allowing this ad to be published, this trading platform is equally unethical in their dealing of impersonating a reputable source.

In 2025, it might be hard to impose a sense of responsibility on corporations, but research in the area of digital marketing basically begs for governments and the advertising industry to create any sort of regulation and restore balance from the consumer to sift through what is true and what is not in an ad to creating honest, equitable claims that actually make advertising more tolerable.5

  1. Faruk Tanyel, Elnora W. Stuart & Jan Griffin, “Have “Millennials” Embraced Digital Advertising as They Have Embraced Digital Media?,” Journal of Promotion Management 19, no. 5 (2013): 652-673, https://doi.org/10.1080/10496491.2013.829161. ↩︎
  2. Ibid. ↩︎
  3. Charlene D Elliott and Emily Truman, “Food marketing on digital platforms: what do teens see?,” Public Health Nutrition 27, no. 48 (2024): 1-9, https://doi.org/10.1017/S1368980024000235. ↩︎
  4. Government of Canada, “Childhood obesity,” accessed April 14, 2025, https://www.canada.ca/en/public-health/services/childhood-obesity/childhood-obesity.html. ↩︎
  5. Sonia Dickinson-Delaporte, Kathleen Mortimer, Gayle Kerr, David S Waller, Alice Kendrick, “Power and responsibility: Advertising self-regulation and consumer protection in a digital world,” Journal of Consumer Affairs 54, no. 2 (2020): 675-699, https://doi.org/10.1111/joca.12295. ↩︎

Could Cambridge Analytica happen here?

I guess this course is hyper-relevant considering that it’s been fewer days than the number of fingers I have since a federal election has been called!

We’ve heard a lot about foreign interference over the past couple of years, which brings me to one of the most notorious foreign interference and disinformation campaigns in modern times: Cambridge Analytica.

Crash course time!

The Cambridge Analytica logo. Reproduced under Fair Dealing

Cambridge Analytica is a British data marketing firm that tracked user data to curate advertising and online content strategies for their clients. These methods of its predecessorial company are attractive to conservative parties, most notably Republican Party presidential candidates in the US in 2016 and it was engaged as an advertising party for the Ted Cruz and Donald Trump campaigns.

A professor at the University of Cambridge part of Cambridge Analytica created an online quiz app on Facebook called “This is Your Digital Life” that appeared to be a harmless quiz app, but behind the scenes, users who accessed this app gave Cambridge Analytica access to their account data, including all of the activities they do – what they “like”, where they’re logging in from, what they’re commenting – and even that of their “friends” on Facebook.

Because of these practices, 87 million people now had their data in the hands of Cambridge Analytica, almost 0 of whom had any idea that their data was going to inform Donald Trump’s team how he was going to win the 2016 election.

But wait, what does this have to do with Canada?

The leaders of the major parties in the 2025 federal election: L-R, Mark Carney (Liberal), Pierre Poilievre (Conservative), Jagmeet Singh (New Democratic), Yves François-Blanchet (Bloc Québécois), Jonathan Pedneault (Green, co-leader with Elizabeth May).

Photo: The Canadian Press, reproduced under Fair Dealing

This scandal woke the entire world up to a dilemma of data harvesting ethics and targeted misinformation campaigns that that came along during the 2016 election campaign.

Canada is no stranger to foreign interference in its elections. We’ve had some suspicions of it since at least the 2019 federal election, so much so that the government investigated whether not it actually happened. The conclusion? Probably not, or at least probably not on a scale where it influenced entire elections like how Cambridge Analytica claimed it did.

But that also doesn’t mean we’re necessarily in the clear. There is a federal election coming up in a month, and Elections Canada is already taking precautions to mitigate the effects of potential foreign interference, which includes targeted misinformation attacks on key ridings that could influence the outcome of the election.

The threat of foreign interference is higher than ever in this election cycle specifically since one of the party leaders does not have their security clearance, exposing himself and their supporters to vulnerabilities that could put our national security at risk.

So, yes or no: will this happen in Canada?

Probably not….

But you never know what will happen.

Those whose data were stolen by Cambridge Analytica sure didn’t think it would have happened to them.

How can I protect myself from misinformation during the election cycle?

During an election cycle, it’s more important than ever to protect yourself from misinformation. As we’ve learned in a previous class, you can apply the SIFT model to weed out what you read as truth from falsehood.

To protect yourself from having your data being used for political gain, you can also activate settings in your browsers and devices to deny advertisers from using your data, just like I do in my Safari:

These settings aren’t typically on already, but it takes 4 quick clicks in order to ensure your data is safe and to give you another layer of protection from misinformation!

A safe rule of thumb: if it comes from an ad on a website, it probably isn’t news, but sensationalism. Be careful on your choice to click through: you never know where your data will end up.

“Guess Who: Advertisement Edition”

Note: all materials are reproduced under Fair Dealing

In order to understand my own perspective on targeted ads, I wanted to see how targeted ads perceive me.

About a month ago, I deleted almost 10 years of ad data on my personal Meta account because I was becoming increasingly uncomfortable with my information being processed in the United States, especially considering the precarious state of Canada-US political and economic relations. I’m also pretty conscious about denying permissions for ad tracking across websites and apps.

All of this, however, does not necessarily mean that ads don’t appear at all or that my preferences are being respected.

The ads

In the past month since deleting my ad data, my Meta account data states that I have interacted with (clicked on) 34 ads on my Facebook account. 54 companies have used my Meta accounts (one personal Facebook, one personal Instagram, and one professional Instagram) to influence their targeted ad campaigns.

Here are the 34 ads I’ve apparently been clicking on while I’ve been on Facebook over the past month. You can right click an ad and open it in a new tab to read it fully:

These are the 54 companies that have used my Facebook information to inform their ads over the past 3 years:

  • Tangerine
  • AirBnB
  • Porter Airlines
  • Playnow.com
  • Canva
  • Mark Carney (campaign for Liberal Party leader)
  • The Crocodile Seattle
  • Provident Entertainment
  • Bricknell’s Men’s Products
  • Sony Music Entertainment
  • RightNow Media
  • Pattison Food Group
  • Elevation Church
  • BMO Financial Group
  • Amazon.com
  • Coach
  • GrubHub
  • Jackbox Games
  • Canadian Tire
  • Envision Financial
  • Virgin Plus
  • KOHO
  • Wise
  • Williams Sonoma
  • Scene+
  • Square
  • Coast Capital Savings
  • Live Nation
  • Staples
  • Wealthsimple
  • Uber
  • Grab
  • Neo Financial
  • Old Navy
  • ASOS
  • Groupon
  • Remitbee
  • Linktree
  • GoodRx
  • Meta for Business
  • LinkedIn
  • Ancestry.com
  • Equitable Bank
  • Callia Flowers
  • Premier Productions
  • Remitly
  • Etsy
  • RIU Hotels & Resorts
  • Le Choix du Président
  • DoorDash
  • Showcase
  • Drive with Lyft
  • Ticketmaster
  • Cineplex

The challenge

We have 88 datapoints of who I am based on my normal interactions with advertising content on a service I use every single day.

Since I already know myself very well, and because targeted ads are based on patterns and algorithms that aren’t usually accessible publicly, I’m going to provide these datapoints to the mightiest algorithm I have available: ChatGPT.

I’m going to ask it to guess the following 10 pieces of demographic information about me that many advertisers use to inform their ad campaigns:

  • Age
  • Gender
  • Location
  • Occupation
  • 3 to 5 hobbies/interests
  • Income range
  • Ethnicity
  • Political affiliation
  • Marital status
  • Religion
  • Any other inferences on my demographics based on the datapoints?

The challenges I anticipate are that the 34 ads were not targeted to me based on any of these demographics, these were just the ones I happened to interact with, and the list of the 54 companies are just company names and not actually ads themselves so they aren’t based on ad content.

Before you proceed!

Take a look at some of, if not all of the dataset. Try to jot down a list and compare it to what ChatGPT suggests I am and what the truths are!

The findings

The algorithm has spoken, and here is what it guessed:

  • Age: 25-40
  • Gender: Male
  • Location: Greater Vancouver
  • Occupation: professional OR student in finance, education, or technology
  • Hobbies and interests:
    • Finance and investing
    • Education and personal development
    • Travel
    • Tech & Creativity
    • Community & Social Causes
  • Income: $50,000-$80,000
  • Ethnicity: visible minority
  • Political affiliation: Liberal or progressive-leaning
  • Marital status: single or in a relationship, no kids
  • Religion: Possibly Christian or faith-inclined, but open-minded

Surprisingly, it got only three of its guesses wrong:

  • Age: I’m actually 22
  • Hobbies and interests: I’m not interested in finance, especially not in investing
  • Income: I make $20,000 to $30,000 a year (since I’m just a student)

You can read the full analysis ChatGPT made, including the justifications for each of its answers here.

What this means

Even though ChatGPT got almost everything correct, that does not mean that ChatGPT is the algorithm that Meta uses for its advertisement strategies.

It does suggest that if I allow it to be the case, I am a lot more predictable than I think, and algorithms are processors of patterns about ourselves that we miss in all of our humanness.

Based on these patterns, we can even make more specific predictions like how I’m not only a Christian, but I’m an open-minded Christian towards other religions. It’s fun to make a demographic profile and all, but these even more targeted answers can reveal stuff about ourselves that we might not be comfortable with or things we might not even be aware of.

This is a lot of information and accuracy for a limited amount of data. This is only advertising data, not data on the user-generated content I interact with or any information that I’ve given up about myself. How much more specific of a profile can we get if we consider my entire online footprint holistically?

In what ways can these patterns be helpful? Or for a malicious purpose?

Targeted ads as content

I’ve stumbled upon a genre of videos on YouTube where people purposefully engage with targeted ads on social media and review the products, usually in a humorous tone.

This got me thinking: what message do these types of videos say about our relationship with targeted ads: both in the way that these videos portray them, and the fact that they are used as content?


Video 1: Safiya Nygaard (consuming ads)

“I Bought The First 5 Things TikTok Ads Recommended To Me” by Safiya Nygaard (published December 7, 2021)

Beauty and lifestyle creator Safiya Nygaard’s video bought the first five products that were targeted to her through TikTok ads:

  • Butterfly pea loose-leaf tea
  • Pizza Hut tracksuit
  • Refurbished electronics bundle
  • Personal earwax camera and extractor
  • Wireless automatic curling iron

The first half of the video was her establishing her methodology, but more importantly, trying to contextualize it through statements like this:

“Though I wouldn’t say that buying returned electronics fits perfectly into my interests, we have been [making content about] an Amazon return store (like a liquidation store), and I have liked/saved a few videos on this topic for use in our YouTube video: so maybe that’s why TikTok think that I am into deal-tok.”

I don’t buy a lot of hair irons, but I do interact with beauty content a lot, so I feel like this is a decently well-targeted ad. In general, TikTok seems to be full of hair curling hack products, and I am someone who really has no idea how to do my own hair, so the idea of a self-curling iron appeals to me.

What struck me about this is the uncertainty. As a content creator, I would presume that Nygaard is not a stranger to internet algorithms, yet I observed that she was not able to justify the reason why she got the items that she did with certainty. Nygaard attempted to connect the ads with her work habits, content consumption habits, and even launched the app multiple times during the day to see if that would make a difference. It is striking how elusive the “almighty algorithm” can be.

The second half of the video was about the products themselves. Two moments stuck out to me:

  • The alleged low quality of these products

All of the items seemed to have some sort of quality issue: the Pizza Hut tracksuit was a poor quality, the earwax extractor didn’t extract as much as expected, the butterfly pea tea smelled poorly.

  • Vague or unknown vendors

The names of all the vendors in the video: Pizza Hut, What The Box, Bee Gone Wax, SUMMERSKN, Harney & Sons. Other than the first and last brand on that list, these brands are pretty elusive. In fact, the three other brands no longer have an online presence, which Nygaard predicted were actually dropshipping fronts.

What Nygaard’s video about targeted ads tells us is that targeted ads are opportunistic: companies or individuals hop on fads perhaps without making due diligence of their actions in order to make a quick buck and disappear – a pathos and ethos appeal.


Video 2: Danny Gonzalez (creating ads)

“I Spent $20,000 Advertising On YouTube And Now Everyone Hates Me” by Danny Gonzalez (published August 2, 2019)

Danny Gonzalez is a commentary YouTuber. The above video is part of a series called “BadAds” where he analyzes outrageous mobile game ads on social media; this video in particular has him creating three separate Google Ads on YouTube utilizing three of the advertising techniques he identified during earlier editions of this series.

Gonzalez’s perspective of creating Google Ads is unique and unprecedented on this scale, where many digital creators, especially those without external investment or capital, don’t typically use pre-rolls to advertise their niches, let alone to show their audiences the process of creating a campaign. The frustrations of creating these campaigns comes through in the billing issues, which makes me understand the work that goes into the process of these campaigns.

Speaking of these billing issues, it’s very interesting to understand the value that our attention has. At one point, Gonzalez reveals that an investment of $2,222.22 guarantees him between 570,000 to 1,700,000 views, at the cost of $0.01 to $0.03 a view to capture our attention for at least 5-15 seconds.

If we do the math correctly, our time is technically worth more: the BC minimum wage will be $17.85/hr on June 1, 2025, which comes out to $0.02 to $0.07 per view for the same amount of time. What do you think this could reveal about the value we hold to advertisers?


Of course, these two videos do not capture the entire story about our relationship with ads between the consumer, the creator, and the agency. But it is an interesting thought experiment to reflect on why we believe the world of targeted ads is so elusive that it would make for good content (Nygaard’s video has 8.1 million views; Gonzalez’s has 16.5 million).

Digital Literacy Inquiry

Assignment 1: Deeper Dive Inquiry process posts and summary posts will be shared using the category “Inquiry,” as this post does. As you can see, it is set up to pull these posts into the Inquiry menu on your blog.