2022
DOI: 10.1016/j.lisr.2022.101199
|View full text |Cite
|
Sign up to set email alerts
|

Examining nonsuicidal self-injury content creation on TikTok through qualitative content analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
8
0
4

Year Published

2023
2023
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 14 publications
(13 citation statements)
references
References 36 publications
1
8
0
4
Order By: Relevance
“…Our findings indicate that videos in the prorecovery domain contained more informative content than videos categorized in the other 2 domains. This result suggests that members of the prorecovery community were engaging in community defensive information practices, where users attempted to remediate and address gaps in health information through leveraging technology and their experiential knowledge, which has been similarly reported in online communities of marginalized populations, such as transgender and nonbinary individuals . A strong sense of community among users may serve as an effective strategy for building collective resilience against misleading information on social media, as misinformation is participatory in nature because it is shaped by technology, social structures, and human action .…”
Section: Discussionmentioning
confidence: 76%
See 2 more Smart Citations
“…Our findings indicate that videos in the prorecovery domain contained more informative content than videos categorized in the other 2 domains. This result suggests that members of the prorecovery community were engaging in community defensive information practices, where users attempted to remediate and address gaps in health information through leveraging technology and their experiential knowledge, which has been similarly reported in online communities of marginalized populations, such as transgender and nonbinary individuals . A strong sense of community among users may serve as an effective strategy for building collective resilience against misleading information on social media, as misinformation is participatory in nature because it is shaped by technology, social structures, and human action .…”
Section: Discussionmentioning
confidence: 76%
“…This result suggests that members of the prorecovery community were engaging in community defensive information practices, 42 , 43 where users attempted to remediate and address gaps in health information through leveraging technology and their experiential knowledge, which has been similarly reported in online communities of marginalized populations, such as transgender and nonbinary individuals. 44 , 45 A strong sense of community among users may serve as an effective strategy for building collective resilience against misleading information 46 on social media, as misinformation is participatory in nature because it is shaped by technology, social structures, and human action. 47 , 48 By incorporating shared community values and tactics into video content, prorecovery users create and engage with information in ways that have positive associations with the health and well-being of their community.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…To ensure the consistency of the sample and the variables of analysis, inductive coding was followed as proposed by Salbs [29] and Lookingbill [73], according to which an initial coding of 20% of the sample and subsequent grouping into a series of variables, most of which were nominal, were carried out; this allowed specific nuances adapted to each unit of analysis to be obtained. Specifically, the final coding scheme resulted in 24 variables: fact-checking agency; verification; media literacy; section; topic; presenter; gender; age; humour; music; subtitles; pop-up labels; video; pictures; screen recording; screen browsing; screenshot; underlining and circles; zoom; text effects; emojis; graphic design; animation; and final claim.…”
Section: Discussionmentioning
confidence: 99%
“…Otras investigaciones utilizan los posts de una misma cuenta como unidad de análisis y variable dependiente (Akbari et al, 2022). Otros autores (Lookingbill, 2022) utilizan técnicas cualitativas, siendo las cuentas de TikTok la variable dependiente. La mayoría de estas investigaciones utilizan pocas variables y casi todas relacionadas con el alcance e impacto de las publicaciones (Publicaciones, Me gusta, Compartido, etc.).…”
Section: Issn: 2659-9538unclassified