How Algorithm Awareness Impacts Algospeak Use on TikTok

Klug, Daniel; Steen, Ella; Yurechko, Kathryn

doi:10.1145/3543873.3587355

Cited by 9 publications

(2 citation statements)

References 12 publications

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“…However, due to the fear of being moderated, she couldn't use the word "kill" in her video. Inspired by other TikTokers, she learned how to rephrase her message to avoid moderation, a technique known as "algospeak [47], " which has become prevalent among content creators as a way to circumvent algorithmic moderation. Despite the efforts of BlindTokers and their friends, including some who were influencers with a substantial following, the impact on the platform appeared to be minimal.…”

Section: 22mentioning

confidence: 99%

"I Got Flagged for Supposed Bullying, Even Though It Was in Response to Someone Harassing Me About My Disability.": A Study of Blind TikTokers’ Content Moderation Experiences

Lyu,

Cai,

Callis

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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The Human-Computer Interaction (HCI) community has consistently focused on the experiences of users moderated by social media platforms. Recently, scholars have noticed that moderation practices could perpetuate biases, resulting in the marginalization of user groups undergoing moderation. However, most studies have primarily addressed marginalization related to issues such as racism or sexism, with little attention given to the experiences of people with disabilities. In this paper, we present a study on the moderation experiences of blind users on TikTok, also known as "BlindToker, " to address this gap. We conducted semi-structured interviews with 20 BlindTokers and used thematic analysis to analyze the data. Two main themes emerged: BlindTokers' situated content moderation experiences and their reactions to content moderation. We reported on the lack of accessibility on TikTok's platform, contributing to the moderation and marginalization of BlindTokers. Additionally, we discovered instances of harassment from trolls that prompted BlindTokers to respond with harsh language, triggering further moderation. We discussed these findings in the context of the literature on moderation, marginalization, and transformative justice, seeking solutions to address such issues.CCS Concepts: • Human-centered computing → Human computer interaction (HCI); Empirical studies in HCI.

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Section: 22mentioning

confidence: 99%

"I Got Flagged for Supposed Bullying, Even Though It Was in Response to Someone Harassing Me About My Disability.": A Study of Blind TikTokers’ Content Moderation Experiences

Lyu,

Cai,

Callis

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

show abstract

“…Adverse reactions to content or app use may also lead to negative interactions on the platform or abandonment of the platform altogether (O'Reilly et al, 2018); similarly, problems with other people in the TikTok system, including a dislike of other users and/or concerns about the platform's corporate leadership (e.g., Brown, 2020), could also lead to a dislike of the platform or a negative impact on users' emotional states (O'Reilly et al, 2018). As TikTok users have become increasingly aware of the pitfalls of the platform algorithm and discussing precarious topics, the use of methods such as algospeak (i.e., the substitution of special characters for traditional characters to avoid bans, 's' becomes '$'; Klug et al, 2023) has also increased. Such behaviours may become demanding and result in frustrations with the platform.…”

Section: Characteristics Of and Potential (Dis)satisfaction With Tiktokmentioning

confidence: 99%

‘I Can Spend Forever on It Without Getting Bored’: Analyzing What College Students Like and Dislike About TikTok

Martinez,

Brammer,

Punyanunt-Carter

2023

Media Watch

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TikTok is a top-rated social media app used by U.S. college students, so understanding what users like and dislike about the platform is an important endeavour for contemporary media and communication scholars. To investigate such perceptions, 468 college students completed an online survey about their likes and dislikes associated with TikTok. In total, 13 unique themes emerged for likes and dislikes, respectively. The like themes included humorous content, variety/diversity of content, being entertained, community educational content, algorithm/personalisation, user interface, TikTok culture/references, short video content, creative outlet, emotion/stress management, relatable content and trending content. The dislike themes were addictive nature, negative interactions, uninteresting content, influencers/attention-seeking, cancel culture/platform drama, privacy concerns/fake news, negative emotions/mental state, revealing content (nudity), political content, TikTok platform guidelines, app functionality, advertisements and trending content. Results revealed college students’ perceptions of TikTok’s most likeable and unlikeable characteristics and users’ satisfaction with TikTok compared to other social media platforms. Implications for these findings are discussed.

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Scaling as method: A three-stage, mixed-methods approach to digital discourse analysis

Androutsopoulos

2024

Discourse, Context & Media

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How Algorithm Awareness Impacts Algospeak Use on TikTok

Cited by 9 publications

References 12 publications

"I Got Flagged for Supposed Bullying, Even Though It Was in Response to Someone Harassing Me About My Disability.": A Study of Blind TikTokers’ Content Moderation Experiences

"I Got Flagged for Supposed Bullying, Even Though It Was in Response to Someone Harassing Me About My Disability.": A Study of Blind TikTokers’ Content Moderation Experiences

‘I Can Spend Forever on It Without Getting Bored’: Analyzing What College Students Like and Dislike About TikTok

Scaling as method: A three-stage, mixed-methods approach to digital discourse analysis

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