Analyzing tweets before and after Meta’s graphic self-harm imagery ban: a content analysis
Aim: The spread of suicide and non-suicidal self-injury (NSSI) content on social media has raised ongoing concerns about user safety and mental health. In response, social media platforms like Twitter (now X) and Meta (i.e., Facebook and Instagram) introduced content moderation policies to mitigate...
Saved in:
| Main Authors: | Elnaz Moghimi, Kevin Keller, Sanjeef Thampinathan, William Cipolli, Hayden P. Smith |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Open Exploration Publishing Inc.
2025-06-01
|
| Series: | Exploration of Digital Health Technologies |
| Subjects: | |
| Online Access: | https://www.explorationpub.com/uploads/Article/A101154/101154.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigation of the relationship between number of tweets and USDTRY exchange rate with wavelet coherence and transfer entropy analysis
by: Cengiz Karatas, et al.
Published: (2025-01-01) -
La technodiscursivité du vocable « brexit » sur Twitter
by: Perihane Adel
Published: (2018-02-01) -
Content Moderation As a Political Issue: The Twitter Discourse Around Trump's Ban
by: Meysam Alizadeh, et al.
Published: (2022-10-01) -
Annotated data for semantic role labeling of crisis events in Indonesian TweetsMendeley Data
by: Amelia Devi Putri Ariyanto, et al.
Published: (2025-08-01) -
I know your stance! Analyzing Twitter users’ political stance on diverse perspectives
by: Jisu Kim, et al.
Published: (2025-01-01)