How People Form Folk Theories of Social Media Feeds and What it Means for How We Study Self-Presentation

DeVito, Michael A.; Birnholtz, Jeremy; Hancock, Jeffery T.; French, Megan; Liu, Sunny

doi:10.1145/3173574.3173694

Cited by 159 publications

(132 citation statements)

References 36 publications

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“…On a more general level, research on self-presentation in social media has indicated that self-presentation goals vary between individuals and that they depend on personality and orientation towards others (DeVito et al, 2018). Research has also suggested that individuals change their way of self-presentation based on their interaction partners, with factors such as gender, social status and strength of social ties affecting their selfpresentation (Banaji & Prentice, 1994).…”

Section: Related Workmentioning

confidence: 99%

“…In general, the journalists in this study reported a broad awareness of their social networks as well as their working place, which made them more cautious about speaking up publicly in social media. They had a "peace-keeping" self-presentation (DeVito et al, 2018) in that they tried not to offend or challenge their audiences. This self-presentation behavior is also related to the concept of "lowest common denominator" by Hogan (2010).…”

Section: Peace-keeping Self-presentationmentioning

confidence: 99%

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From Youthful Experimentation to Professional Identity: Understanding Identity Transitions in Social Media

Brandtzæg

Domínguez

2019

YOUNG

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The process of self-presentation is significantly complicated for people growing up with social media. Many individuals have time-stamped digital footprints in social media from early youth to adulthood. However, little is known about long-term consequences for these individuals, their experience of time and their identity transition from youthful experimentation to a professional identity in social media. Through 15 in-depth interviews, our study explores challenges concerning identity transition and impression management in social media for young adults who have recently entered working life as journalists. Our participants described how they curated their image and self-censored both their previous and current self-generated content in social media. We also find that many have actively opted for passive and peace-keeping self-presentation and use of social media or for turning their usage into private messaging platforms, masking their online identity. Some participants indicated they felt trapped by their own identity making in social media.

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Section: Related Workmentioning

confidence: 99%

Section: Peace-keeping Self-presentationmentioning

confidence: 99%

From Youthful Experimentation to Professional Identity: Understanding Identity Transitions in Social Media

Brandtzæg

Domínguez

2019

YOUNG

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“…1, or not being tagged as "attractive," when images of one's friends have been associated with such words, could be a painful experience for users, many of whom carefully craft a desired self-presentation [4]. Indeed, the prevalence of algorithms in social spaces has complicated self-presentation [17], and research has shown that users desire a greater ability to manage how algorithms profile them [1]. In short, our results suggest that the use of image tagging algorithms in social spaces, where users share people images, can pose a danger for users who may already suffer from having a negative self-image.…”

Section: Discussionmentioning

confidence: 99%

What Is Beautiful Continues to Be Good

Matsangidou

Otterbacher

2019

Human-Computer Interaction – INTERACT 2019

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Image recognition algorithms that automatically tag or moderate content are crucial in many applications but are increasingly opaque. Given transparency concerns, we focus on understanding how algorithms tag people images and their inferences on attractiveness. Theoretically, attractiveness has an evolutionary basis, guiding mating behaviors, although it also drives social behaviors. We test image-tagging APIs as to whether they encode biases surrounding attractiveness. We use the Chicago Face Database, containing images of diverse individuals, along with subjective norming data and objective facial measurements. The algorithms encode biases surrounding attractiveness, perpetuating the stereotype that "what is beautiful is good." Furthermore, women are often misinterpreted as men. We discuss the algorithms' reductionist nature, and their potential to infringe on users' autonomy and well-being, as well as the ethical and legal considerations for developers. Future services should monitor algorithms' behaviors given their prevalence in the information ecosystem and influence on media.

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“…OSNs might be inaccurate [33], as explained by online self-representation concerns [28,36,116,130]. For instance, users sometimes fake their online information to present a more favourable or idealized self-image [34,69] or to restrict strangers from gaining true information [150].…”

Section: Hiring Decisions In the Digital Agementioning

confidence: 99%

“…Previous HCI work on online self-presentation [36,116] explored whether a user's curated virtual identity matches their offline identity [130] and others [28] suggest that there is a difference between self-presentation and self-disclosure. Self-presentation is self-data an individual communicates to most others [28].…”

Section: Veracity Of Online Contentmentioning

confidence: 99%

Investigating Decay Representations for Privacy and Online Reputation Management

Mohamed¹

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The main goal of this thesis is to explore how Online Social Networks (OSNs) can support users in managing their online reputation during important selection processes. More specifically, we look at mechanisms that help social media users automatically dissociate from their past online activities, primarily in a hiring context. I would like to begin by thanking my thesis supervisor, Sonia Chiasson, for her continuous support. She has been a great example and a role model to me, on both a personal and a professional level. She always made herself available and provided unlimited advice. As someone with a high level of knowledge and a broad spectrum of expertise, Prof. Chiasson has given me invaluable guidance throughout the duration of my degree and I am deeply indebted to her. I would also like to thank my defence committee, Pamela Briggs, Daniel Amyot, Audrey Girouard, and Andrew Patrick. They have provided me with useful guidance and valuable feedback that helped inform various parts of the thesis. I am also grateful to my parents and my brothers. I would like to thank them for believing in me and for always encouraging me to achieve my goals. Although they are so far away, they never ceased to give me the emotional support and encouragement I needed. I would not have been able to complete this work without their support. I thank Thaís Bardini Idalino for being dedicated in our collaborative study. I am happy to have worked with such a smart woman. I also thank Khadija Baig for being such a dedicated researcher. I am grateful for her effort and time spent on transcribing interviews in one of the Chapters, and for her emotional support. Similarly, I am grateful to Paulina Chametka for her help in various tasks, including running interviews, audio transcription, and data analysis. I appreciate her time and effort.

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How People Form Folk Theories of Social Media Feeds and What it Means for How We Study Self-Presentation

Cited by 159 publications

References 36 publications

From Youthful Experimentation to Professional Identity: Understanding Identity Transitions in Social Media

From Youthful Experimentation to Professional Identity: Understanding Identity Transitions in Social Media

What Is Beautiful Continues to Be Good

Investigating Decay Representations for Privacy and Online Reputation Management

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