@inproceedings{ryskina-etal-2026-sunblock,
title = "From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media",
author = "Ryskina, Maria and
Gormley, Matthew R. and
Mahowald, Kyle and
Mortensen, David R. and
Berg-Kirkpatrick, Taylor and
Kulkarni, Vivek",
editor = "Tahmasebi, Nina and
Cassotti, Pierluigi and
Montariol, Syrielle and
Kutuzov, Andrey and
Huebscher, Netta and
Spaziani, Elena and
Baes, Naomi",
booktitle = "The Proceedings for the 6th International Workshop on Computational Approaches to Language Change ({LC}hange{'}26)",
month = mar,
year = "2026",
address = "Rabat, Morocco",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.lchange-1.14/",
pages = "162--180",
ISBN = "979-8-89176-362-3",
abstract = "Living languages are shaped by a host of conflicting internal and external evolutionary pressures. While some of these pressures are universal across languages and cultures, others differ depending on the social and conversational context: language use in newspapers is subject to very different constraints than language use on social media. Prior distributional semantic work on English word emergence *(neology)* identified two factors correlated with creation of new words by analyzing a corpus consisting primarily of historical published texts [(Ryskina et al., 2020)](https://aclanthology.org/2020.scil-1.43/). Extending this methodology to contextual embeddings in addition to static ones and applying it to a new corpus of Twitter posts, we show that the same findings hold for both domains, though the topic popularity growth factor may contribute less to neology on Twitter than in published writing. We hypothesize that this difference can be explained by the two domains favouring different word formation mechanisms."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="ryskina-etal-2026-sunblock">
<titleInfo>
<title>From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media</title>
</titleInfo>
<name type="personal">
<namePart type="given">Maria</namePart>
<namePart type="family">Ryskina</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Matthew</namePart>
<namePart type="given">R</namePart>
<namePart type="family">Gormley</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Kyle</namePart>
<namePart type="family">Mahowald</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">David</namePart>
<namePart type="given">R</namePart>
<namePart type="family">Mortensen</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Taylor</namePart>
<namePart type="family">Berg-Kirkpatrick</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Vivek</namePart>
<namePart type="family">Kulkarni</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2026-03</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>The Proceedings for the 6th International Workshop on Computational Approaches to Language Change (LChange’26)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Nina</namePart>
<namePart type="family">Tahmasebi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Pierluigi</namePart>
<namePart type="family">Cassotti</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Syrielle</namePart>
<namePart type="family">Montariol</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Andrey</namePart>
<namePart type="family">Kutuzov</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Netta</namePart>
<namePart type="family">Huebscher</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Elena</namePart>
<namePart type="family">Spaziani</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Naomi</namePart>
<namePart type="family">Baes</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Rabat, Morocco</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
<identifier type="isbn">979-8-89176-362-3</identifier>
</relatedItem>
<abstract>Living languages are shaped by a host of conflicting internal and external evolutionary pressures. While some of these pressures are universal across languages and cultures, others differ depending on the social and conversational context: language use in newspapers is subject to very different constraints than language use on social media. Prior distributional semantic work on English word emergence *(neology)* identified two factors correlated with creation of new words by analyzing a corpus consisting primarily of historical published texts [(Ryskina et al., 2020)](https://aclanthology.org/2020.scil-1.43/). Extending this methodology to contextual embeddings in addition to static ones and applying it to a new corpus of Twitter posts, we show that the same findings hold for both domains, though the topic popularity growth factor may contribute less to neology on Twitter than in published writing. We hypothesize that this difference can be explained by the two domains favouring different word formation mechanisms.</abstract>
<identifier type="citekey">ryskina-etal-2026-sunblock</identifier>
<location>
<url>https://aclanthology.org/2026.lchange-1.14/</url>
</location>
<part>
<date>2026-03</date>
<extent unit="page">
<start>162</start>
<end>180</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media
%A Ryskina, Maria
%A Gormley, Matthew R.
%A Mahowald, Kyle
%A Mortensen, David R.
%A Berg-Kirkpatrick, Taylor
%A Kulkarni, Vivek
%Y Tahmasebi, Nina
%Y Cassotti, Pierluigi
%Y Montariol, Syrielle
%Y Kutuzov, Andrey
%Y Huebscher, Netta
%Y Spaziani, Elena
%Y Baes, Naomi
%S The Proceedings for the 6th International Workshop on Computational Approaches to Language Change (LChange’26)
%D 2026
%8 March
%I Association for Computational Linguistics
%C Rabat, Morocco
%@ 979-8-89176-362-3
%F ryskina-etal-2026-sunblock
%X Living languages are shaped by a host of conflicting internal and external evolutionary pressures. While some of these pressures are universal across languages and cultures, others differ depending on the social and conversational context: language use in newspapers is subject to very different constraints than language use on social media. Prior distributional semantic work on English word emergence *(neology)* identified two factors correlated with creation of new words by analyzing a corpus consisting primarily of historical published texts [(Ryskina et al., 2020)](https://aclanthology.org/2020.scil-1.43/). Extending this methodology to contextual embeddings in addition to static ones and applying it to a new corpus of Twitter posts, we show that the same findings hold for both domains, though the topic popularity growth factor may contribute less to neology on Twitter than in published writing. We hypothesize that this difference can be explained by the two domains favouring different word formation mechanisms.
%U https://aclanthology.org/2026.lchange-1.14/
%P 162-180
Markdown (Informal)
[From sunblock to softblock: Analyzing the correlates of neology in published writing and on social media](https://aclanthology.org/2026.lchange-1.14/) (Ryskina et al., LChange 2026)
ACL