Reading note

This fidelity reconciliation preserves the complete authorized source as ordered high-resolution page facsimiles. Each native IPFS image is one source page, in original sequence; therefore prose, figures and captions, tables, footnotes, references, and any appendix material remain together in their original layout.

Full text

Source page 1: complete original page in reading order
Source page 2: complete original page in reading order
Source page 3: complete original page in reading order
Source page 4: complete original page in reading order
Source page 5: complete original page in reading order
Source page 6: complete original page in reading order
Source page 7: complete original page in reading order
Source page 8: complete original page in reading order

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Attributes
doi
10.1145/3465336.3475100
name
RIP Emojis and Words to Contextualize Mourning on Twitter
pages
8
venue
Proceedings of the 32nd ACM Conference on Hypertext and Social Media (HT '21)
source
https://doi.org/10.1145/3465336.3475100
acm_url
https://dl.acm.org/doi/10.1145/3465336.3475100
authors
1.Xinyuan Xu
2.Ruben Manrique
3.Bernardo Pereira Nunes
doi_url
https://doi.org/10.1145/3465336.3475100
license
restricted
summary
(empty)
keywords
emojis; social media mourning; classification models; BERT
publisher
Association for Computing Machinery
source_pdf
~/memory/HT-2021_35-30_3465336/3465336.3475100.pdf
import_kind
full_text
open_access
false
ccs_concepts
• Information systems →Web searching and information
authorization
~/memory/imports/remaining/ACM-AUTHORIZATION.md
displayAuthor
Xinyuan Xu, Ruben Manrique, Universidad de los Andes, Bernardo Pereira Nunes
source_sha256
d6ffb77dc219e18fe381dcfe37943ddf3f8448415d45624d7fa8b91b75b5f804
publication_year
2021