Assignment 4: Theory of the Selfie Part 3- The Adventures of an Analogue Man in a Digital World

 

The Adventures of an Analogue Man in a Digital World Part 1: Creating AI Brandon

Welcome intrepid readers! My name is Brandon Wladyko, and I am here to share with you my somewhat frustrating, partly fascinating, and hopefully at least mildly entertaining adventure in creating a digital selfie. First, I want to share a bit about myself and how it relates to this escapade. I was born slightly before the debut of Seinfeld and was just old enough to catch the pilot of Friends, so I certainly remember a time before social media and AI. Like some others of that generation, I have clung stubbornly to certain “Old Ways” and haven’t always fully embraced social media and AI. My social media presence is limited because I have no real desire to have my entire life on display for the critique of the online world. I don’t use a lot of AI because I enjoy the process of creating… and I don’t want to provide AI with any information on my potential weaknesses for when the inevitable man vs. machine war starts.

“Wait”- you ask- “Are you this guy?”

10 dolog, amit nem tudtál a 15 éves Gran Torinóról, Clint Eastwood modern  westernjéről

Not yet. Maybe one day. This old dog is still trying to learn a few new tricks, and one of those tricks is creating a digital selfie. Since I don’t have a lot of selfies, this is how most of my social media photos tend to look; doing something dumb like running up a mountain in a windstorm trying to track down the guy who won this race 22 out of 23 years and making it look like I’m not about to suffer a simultaneous heart attack and brain hemorrhage.

I’m smiling but I assure you that my soul has left my body.

So, my task was this: take this wind-burned masochist pictured above and create a digital selfie reflecting my personal identity and relationship with digital media.

There were some interesting challenges right off the bat. Having never used an AI image generator, I did not know which one to use, or how to use it. I experimented with the first few that appeared on Google and while I quickly began to understand the basic concept, I also hit my first roadblock. As it turns out, all the generators I experimented with had a limited number of free attempts. That was a challenge because as a budget-minded student, I did not want to pay for something for one homework assignment. In a broader sense, not everybody has the money to purchase unlimited generator use. It is a caveat to the fundamental idea that AI unlocks unlimited creativity. It might… but only if you can pay for it. But I digress. I was fortunate to discover that my existing Microsoft 365 subscription came with a feature called Microsoft Designer, an AI graphic design app. Armed with nigh unlimited credits, I set myself to the task of creating a digital selfie.

A collage of cartoon characters

AI-generated content may be incorrect.

The Adventures of an Analogue Man in a Digital World Part 2: Brandon Rides Through the Uncanny Valley

The next challenge I faced was finding the correct combination of words to bring my digital clone to life. My first mistake was believing a lengthy, highly detailed description would produce the best results. My second mistake was using the names of real people. For example, I was curious to see what the selfie would look like if it were drawn in the style of John Romita Jr. Not only did my selfie not turn out at all like I had wanted, but I was given a warning that certain words couldn’t be incorporated into my prompt (those words being ‘John Romita Jr.’ and any other reference to real people). Additionally, certain brands and logos that I wanted to use to convey my place in the technological world were changed in subtle ways. Knowing that platforms tend to promote their brands while eschewing others (and perhaps there are legal considerations) it makes sense that an AI created by the Microsoft platform is resistant to generating competing logos (Noble, 2018).

There’s no better search engine than Goople! And Fatebook sounds like something you’d find in Doctor Strange’s library at the Sanctum Sanctorum.

 A group of logos with text

AI-generated content may be incorrect. 

Realizing that highly detailed prompts confused the generator, I simplified my descriptions. I whittled it down to basic physical characteristics and a background description. Unfortunately, this produced static portraits exaggerating my characteristics into an unrealistic selfie I did not identify with. Even comic and posterized versions reinforced a standard of attractiveness with which I don’t identify.  

Hey digital selfie Brandon- are you from Tennessee? Because you’re the only TEN I SEE!

A person with blue eyes

AI-generated content may be incorrect.A person with blue eyes and blue eyes

AI-generated content may be incorrect.   A person with blue eyes and blue eyes

AI-generated content may be incorrect.

Unrealistic beauty standards aside, I started to draw inspiration from things I enjoy such as running and comic books. Outside of the description of physical characteristics which remained specific, I found that more generalized terms such as “In a retro comic book style” or “Universe of technology” started to produce the desired effect. One final frustration was being unable to find the perfect combination of words to meld two good digital selfies into one successful result. Despite producing hundreds of selfies that almost got it right, I settled on a few that I felt were a reasonable facsimile.

A person in a shirt with a fist raised

AI-generated content may be incorrect.A person running in space with icons

AI-generated content may be incorrect.A person in a fighting pose with social media icons around him

AI-generated content may be incorrect.

The Adventures of an Analogue Man in a Digital World Part 3: “It’s Like Looking in a Mirror, Only Not”[1].

It was a challenge to create a digital selfie that didn’t feel out of sync with my self-perception. I am relatively happy with the result, but I would still never use it as an avatar. Even though I managed to create digital selfies that approximate my physical characteristics, I found the results a little too flawless and sterile. As hard as I tried, I still wonder if my digital selfie tells a story or shares anything about me with a stranger. If the only thing the photo of me striding up a mountain and trying to look happy about it tells you is that I’m a bit crazy, at least it conveys something about who I am and what I enjoy doing. There is a deeper story in that one photo than in any of my hundreds of digital selfies.

Understandably, my experience may not reflect others’. Online personas may differ from offline identities, and digital selfies allow individuals to choose which parts of their personality they want to present (Rosana & Fauzi, 2024). Goffman’s dramaturgical theory suggests that we constantly try to control our audience’s impression of us, and we highlight the best of ourselves to create favorable impressions (Nguyen & Barbour, 2017).

Rosana & Fauzi (2024) note that the platforms play an important part in how we construct our digital identity. For example, platforms that utilize likes, shares, and comments tend to emphasize aesthetics and the sharing of life events (Rosana & Fauzi, 2024). And because those likes, shares, and comments can reinforce our identity or cause us to reassess how we self-represent, it makes sense that we want to create the best representation of ourselves (Rosana & Fauzi, 2024).

That’s not to say (as some claim) our digital representations are fake. While we may curate an idealized version of ourselves to foster social relationships, we can still achieve a perceived expressive authenticity if our digital self is true to our nature (Rosana & Fauzi, 2024; Nguyen & Barbour, 2017). Put simply, even if our digital representation doesn’t look like us if it remains an expression of our personality, morals, and beliefs it is still an authentic representation (Nguyen & Barbour, 2017).   

***[1] This is a quote from the legendary 1997 Nic Cage and John Travolta action extravaganza “Face Off”. John Travolta switches faces with Nic Cage so that Travolta can infiltrate Cage’s criminal organization, but Cage wakes up from a coma and steals HIS face and Travolta (who now looks like Cage) must break out of a maximum security prison and take his life back… it’s a whole thing but trust me it’s amazing. 

The Adventures of an Analogue Man in a Digital World Part 4: Brandon Runs Into Some Uncomfortable Truths

Unfortunately, AI is not a neutral tool, and for all the possibilities the digital world affords, the gatekeepers of these generators limit us. Take for example my struggles with creating a digital selfie. Brand names, logos, and names of people and artists were mostly off-limits. My descriptive prompts only confused the AI generator, and even my inability to meld two good digital selfies into one despite dozens of word combinations are all limitations. However, this minor struggle pales compared to the ethical issues around race representation in AI image generation.  

There tends to be a belief towards algorithmic objectivity- that algorithms reflect what people are searching for, when in truth, algorithms are programmed with the conscious or unconscious biases of their designers (Noble, 2018). And it’s not just the inherent biases of the individuals creating the algorithms, but the social and often economic biases of the platforms they work for (Noble, 2018).  Since algorithms are proprietary, we are not privy to exactly how they work (Noble, 2018). What we do know is that AI learning requires large datasets, so algorithms search the internet for billions of image and text combinations to create their databases, including the absorption of bigotry, pornography, misogyny, and violent content which can influence racist and sexist stereotypes (Turk, 2023; Stanford University, 2023; Tiku et al, 2023).  

Results tend to bias Western stereotypical portrayals of race, gender, and status (Stanford University, 2023). For example, prisoners or poor people are often represented as images of Black people. Successful people are male and white, and terrorists are almost exclusively represented by images of people of Middle Eastern descent (Tiku et al., 2023). Even when specifying a culture or race, the default is a heterogenous, reductionist, and stereotyped representation. I experimented with a few simple prompts in Microsoft Designer to test these biases. 

Note that “A Wealthy Person” is a white male in a suit (results produced no women or people of color).

“A Criminal” produced this utterly bizarre cartoon in which the criminal is a Black man.

A cartoon of a thief carrying a bag of money and a person in a suit

AI-generated content may be incorrect. 

“A Mexican” and “An Indigenous Person” created images of these races through the lens of a stereotypical white viewpoint.

A person in a garment in a forest

AI-generated content may be incorrect.A person wearing a sombrero smiling at the camera

AI-generated content may be incorrect.

These images do not reflect the real world—instead, they reflect outdated Western stereotypes produced by the data that trains the technology (Tiki et al., 2023). As Noble (2018) points out, search results like these are so frequent that they become normalized to the point of acceptance despite inherent problems. If you are inclined, please watch this brief video in which Safiya Umoja Noble discusses the issues at hand (USC Annenberg, 2018). 

Algorithms of Oppression: Safiya Umoja Noble

The Adventures of an Analogue Man in a Digital World Part 5: The Translated Man (not to be confused with William Shatner’s 1968 spoken word masterpiece, “The Transformed Man”)

 

My writing abilities run something of a spectrum. At one end is dry, technical writing suited for academic pursuits. On the other end, wacky humor, pop culture references (see above), fourth wall breaking, and a sprinkling of self-deprecation. When it comes to translating an academic critical analysis into a blog post, my challenge is to find my balance on that spectrum. There seem to be many interpretations of Marshall McLuhan’s “The Medium is the Message” but my key takeaways in this context are:

·       The content of a communicated message is less important than the medium through which it is communicated (BBC Radio 4, 2015).

·       That technologies create new ways to communicate and usurp the technologies that came before them (McLuhan, 2019)

·       We are changed by new technologies and adapt our communication accordingly (BBC Radio 4, 2015; McLuhan, 1964).

A brief video on The Medium is the Message narrated by one of my two favorite fictional FBI alien chasers (BBC Radio 4, 2015).

The Medium is the Message

The Medium is the Message

My first consideration is how digital technology and social media have changed our mode of communication. The result of this work is a blog post in a digital space- not smoke signals, not letters delivered by carrier pigeons, and not pen and parchment written by candlelight. This bit of digital technology known as blogger.com allows me to reach and be reached by classmates in different places and times. It also enables me to use pictures and videos to convey my points in a way that smoke signals and morse code can’t quite replicate. Short of an off-Broadway one-man show, written and starring me, I have greater freedom to express my thoughts to more people because that is the advantage this technology affords me.

My second consideration is how this technology has affected us. It’s no secret that we live in a fast-paced, doomscrolling culture. Though not completely to blame, social media is one of many contributing factors to shorter attention spans and less focus (Ducharme, 2023). That’s why I incorporate humor, pictures, videos, and strategic page breaks to keep my readers focused. I also know that I’m well beyond the point of holding the average social media scroller’s attention- which brings me to my final point.

In this rare context, I will disagree with Mr. McLuhan’s assertion that the message is less important than the medium. “I say thee nay!” you cry. “Are you but fool or madman?” you ask. Hopefully neither, but this brings me back to the challenge of turning an academic paper into a blog post. Knowing that I am writing this in an academic course for an actual grade means that the content of my paper is probably at least equal to the medium. The challenge is finding the sweet spot between my impulse to have dozens of gags to keep readers entertained and ensuring there’s still academic merit with some levity. I’ve done my best to strike a balance between the academic expectations of the message and the reality of the medium, and I hope you’ve at least cracked a smile and maybe even considered a few things along the way.     

References

BBC Radio 4. (2015). The Medium is the Message [YouTube Video]. In YouTube. https://www.youtube.com/watch?v=Ko6J9v1C9zE

Demographic Stereotypes in Text-To-Image Generation. (November 2023). Stanford University. https://hai.stanford.edu/sites/default/files/2023-11/Demographic-Stereotypes.pdf

Ducharme, J. (2023, August 10). Why everyone’s worried about their attention span—and how to improve yours. Time. https://time.com/6302294/why-you-cant-focus-anymore-and-what-to-do-about-it/

Hogan, B. (2010). The Presentation of Self in the Age of Social Media: Distinguishing Performances and Exhibitions Online. Bulletin of Science, Technology & Society30(6), 377–386. https://doi.org/10.1177/0270467610385893

McLuhan, A. (2019, April 9). “medium” is the message. Medium. https://medium.com/@andrewmcluhan/medium-is-the-message-a4d2fc55ebf6

McLuhan, M. (1964). Understanding Media: The Extensions of Man. American Quarterly16(4), 1–18. https://web.mit.edu/allanmc/www/mcluhan.mediummessage.pdf

Nguyen, L., & Barbour, K. (2017). Selfies as expressively authentic identity performance. First Monday22(11). https://doi.org/10.5210/fm.v22i11.7745

Noble, S. U. (2018). Algorithms of oppression: how search engines reinforce racism. New York University Press.

Rosana, A., & Fauzi, I. (2024). The Role of Digital Identity in the Age of Social Media: Literature Analysis on Self-Identity Construction and Online Social Interaction. Join: Journal of Social Science,1, 477-489. https://doi.org/10.59613/a8yyff42

Tiku, N., Schaul, K., & Chen, S. Y. (2023, November 1). These Fake Images Reveal How AI Amplifies Our Worst Stereotypes. Washington Post. https://www.washingtonpost.com/technology/interactive/2023/ai-generated-images-bias-racism-sexism-stereotypes/

Turk, V. (2023, October 10). How AI reduces the world to stereotypes. Rest of World. https://restofworld.org/2023/ai-image-stereotypes/

USC Annenberg. (2018). Algorithms of Oppression: Safiya Umoja Noble [YouTube Video]. In YouTube. https://www.youtube.com/watch?v=6KLTpoTpkXo




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