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My thesis aims to uncover the ultimate strategy behind short form visual stories, otherwise known as the digital advertisment. In this thesis, I analyze traditional storytelling, visual storytelling, and short-form visual storytelling in order to uncover the best practices advertisers should use when crafting a digital advertisement.
Storytelling “reveals elements and images of a story while also catalyzing the imagination of the listener” (National Storytelling Network, 2017). This tradition has two purposes for society: a neurological structure, and a social mechanism (for historic preservation, human interaction, and a vehicle for connecting with others) (Gottshcall, 2012; Scott, 2012; Paul, 2012; Woodside, 2008).
Visual Storytelling is “using photography, illustration, video, (usually with a musical enhancement) to guide” the human brain along a plotline, and has an unlimited timeframe (Ron, 2017). There are seven key elements to effective visual storytelling: A listener/audience, an element of realism coupled with escapism, a focus on the dread of life, an element of the unknown, emotion, simplicity, and a three-part plot structure (Andrews, 2010; ProQuest, 2012; Zak, 2014; Stanton, 2014; Reagan, 2016; Jarvis, 2014; Petrick, 2014)
In the words of Sholmi Ron, from a marketing perspective, “Visual [short hand] Storytelling is a marketing strategy that communicates powerful ideas through a compelling story arc, with your customer at the heart of the story, and delivered through interactive and immersive visual media – in order to create profitable customer engagements" (Ron, 2017). This advertising strategy has four best practices: non-obvious logo placement, a comedic emotion, multiple emotional arcs, and a relevant message (Golan, 2017; Teixeira, 2015; Graves, 2017, Teixeira, 2017). These are important to understand because, in 2017, online consumers can be described as skeptical, conscious of content, individualistic, and drawn to authenticity (Teixeira, 2014).
To supplement my findings, I conducted primary research by analyzing the 2017 Super Bowl videos against a criteria created using the best practices previously identified (in Part 1 and Part 2). Through the data collection of the 66 videos, I uncovered the most popular plotline is "fall than rise," the most popular emotions are humor, inspiration, and empathy and people tend to have a preference towards videos that are more realistic and simplistic in nature.
In the end, I recommend that advertisers identify an authentic yet relevant message, while employing a comedic, inspirational, or empathic tone, and that they place their ads exclusively for their target market. Additionally, producers should use a fall then rise plotline (with multiple mini plot peaks and valleys), a "logo-pulsing" strategy, and a minimal amount of characters and settings to keep the audience's focus on the ad’s message.
"No civil discourse, no cooperation; misinformation, mistruth." These were the words of former Facebook Vice President Chamath Palihapitiya who publicly expressed his regret in a 2017 interview over his role in co-creating Facebook. Palihapitiya shared that social media is ripping apart the social fabric of society and he also sounded the alarm regarding social media’s unavoidable global impact. He is only one of social media’s countless critics. The more disturbing issue resides in the empirical evidence supporting such notions. At least 95% of adolescents own a smartphone and spend an average time of two to four hours a day on social media. Moreover, 91% of 16-24-year-olds use social media, yet youth rate Instagram, Facebook, and Twitter as the worst social media platforms. However, the social, clinical, and neurodevelopment ramifications of using social media regularly are only beginning to emerge in research. Early research findings show that social media platforms trigger anxiety, depression, low self-esteem, and other negative mental health effects. These negative mental health symptoms are commonly reported by individuals from of 18-25-years old, a unique period of human development known as emerging adulthood. Although emerging adulthood is characterized by identity exploration, unbounded optimism, and freedom from most responsibilities, it also serves as a high-risk period for the onset of most psychological disorders. Despite social media’s adverse impacts, it retains its utility as it facilitates identity exploration and virtual socialization for emerging adults. Investigating the “user-centered” design and neuroscience underlying social media platforms can help reveal, and potentially mitigate, the onset of negative mental health consequences among emerging adults. Effectively deconstructing the Facebook, Twitter, and Instagram (i.e., hereafter referred to as “The Big Three”) will require an extensive analysis into common features across platforms. A few examples of these design features include: like and reaction counters, perpetual news feeds, and omnipresent banners and notifications surrounding the user’s viewport. Such social media features are inherently designed to stimulate specific neurotransmitters and hormones such as dopamine, serotonin, and cortisol. Identifying such predacious social media features that unknowingly manipulate and highjack emerging adults’ brain chemistry will serve as a first step in mitigating the negative mental health effects of today’s social media platforms. A second concrete step will involve altering or eliminating said features by creating a social media platform that supports and even enhances mental well-being.
The role of technology in shaping modern society has become increasingly important in the context of current democratic politics, especially when examined through the lens of social media. Twitter is a prominent social media platform used as a political medium, contributing to political movements such as #OccupyWallStreet, #MeToo, and #BlackLivesMatter. Using the #BlackLivesMatter movement as an illustrative case to establish patterns in Twitter usage, this thesis aims to answer the question “to what extent is Twitter an accurate representation of “real life” in terms of performative activism and user engagement?” The discussion of Twitter is contextualized by research on Twitter’s use in politics, both as a mobilizing force and potential to divide and mislead. Using intervals of time between 2014 – 2020, Twitter data containing #BlackLivesMatter is collected and analyzed. The discussion of findings centers around the role of performative activism in social mobilization on twitter. The analysis shows patterns in the data that indicates performative activism can skew the real picture of civic engagement, which can impact the way in which public opinion affects future public policy and mobilization.
Bad actor reporting has recently grown in popularity as an effective method for social media attacks and harassment, but many mitigation strategies have yet to be investigated. In this study, we created a simulated social media environment of 500,000 users, and let those users create and review a number of posts. We then created four different post-removal algorithms to analyze the simulation, each algorithm building on previous ones, and evaluated them based on their accuracy and effectiveness at removing malicious posts. This thesis work concludes that a trust-reward structure within user report systems is the most effective strategy for removing malicious content while minimizing the removal of genuine content. This thesis also discusses how the structure can be further enhanced to accommodate real-world data and provide a viable solution for reducing bad actor online activity as a whole.
