Anonymity Effects: A Large-Scale Dataset from an Anonymous Social Media Platform

A public large-scale dataset of 89.8 million anonymized Whisper posts, with descriptive statistics and ethical safeguards.

doi: 10.1145/3372923.3404792
name: Anonymity Effects: A Large-Scale Dataset from an Anonymous Social Media Platform
pages: 6
acm_url: https://dl.acm.org/doi/10.1145/3372923.3404792
authors: Mainack Mondal, Denzil Correa, Fabrício Benevenuto
doi_url: https://doi.org/10.1145/3372923.3404792
license: restricted
summary: A public large-scale dataset of 89.8 million anonymized Whisper posts, with descriptive statistics and ethical safeguards.
keywords: anonymity; social media; Whisper; pattern recognition; public dataset; hate speech
source_pdf: HT-2020_51-35_3372923/3372923.3404792.pdf
import_kind: full_text
open_access: true
ccs_concepts: • Information systems → Social networks.
displayAuthor: Mainack Mondal, Denzil Correa, Fabrício Benevenuto
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source_attribution: Formatting converted from the ACM version of record under supplied ACM publication authorization.
fidelity_reconciliation: v4 passed: source, body, figures, tables, references, and native IPFS assets verified