Constructing Authenticity on TikTok: Social Norms and Social Support on the "Fun" Platform

Authenticity, generally regarded as coherence between one’s inner self and outward behavior, is associated with myriad social values (e.g., integrity) and beneficial outcomes, such as psychological well-being. Scholarship suggests, however, that behaving authentically online is complicated by self-presentation norms that make it difficult to present a complex self as well as encourage sharing positive emotions and facets of self and discourage sharing difficult emotions. In this paper, we position authenticity as a self-presentation norm and identify the sociomaterial factors that contribute to the learning, enactment, and enforcement of authenticity on the short-video sharing platform TikTok. We draw on interviews with 15 U.S. TikTok users to argue that normative authenticity and understanding of TikTok as a “fun” platform are mutually constitutive in supporting a “just be you” attitude on TikTok that in turn normalizes expressions of both positive and difficult emotions and experiences. We consider the social context of TikTok and use an affordance lens to identify anonymity, of oneself and one’s audience; association between content and the “For You” landing page; and video modality of TikTok as factors informing authenticity as a self-presentation norm. We argue that these factors similarly contribute to TikTok’s viability as a space for social support exchange, and address the utility of the comments section as a site for both supportive communication and norm judgment and enforcement. We conclude by considering the limitations of authenticity as social norm and present implications for designing online spaces for social support and connection.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/cscw/64039/2021

AdRecommended

Learn AI Coding at CodeNow

open_in_newOpen DOI Link
DOI: https://doi.org/10.1145/3479574
At a Glance

Paper Snapshot

fact_check
dataset
Source
CSCW
calendar_month
Year
2021
emoji_events
Award
No award tagged
group
Authors
2 authors
sell
Subtopics
—
work
Professions
—
article
Content Status
Abstract only
hub
Related Papers
0 related papers