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The Effect of Social Network Size on Hashtag Adoption on Twitter
Author(s) -
Monster Iris,
LevAri Shiri
Publication year - 2018
Publication title -
cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
DOI - 10.1111/cogs.12675
Subject(s) - computer science , social media , world wide web
Abstract Propagation of novel linguistic terms is an important aspect of language use and language change. Here, we test how social network size influences people's likelihood of adopting novel labels by examining hashtag use on Twitter. Specifically, we test whether following fewer Twitter users leads to more varied and malleable hashtag use on Twitter, because each followed user is ascribed greater weight and thus exerts greater influence on the following user. Focusing on Dutch users tweeting about the terrorist attack in Brussels in 2016, we show that people who follow fewer other users use a larger number of unique hashtags to refer to the event, reflecting greater malleability and variability in use. These results have implications for theories of language learning, language use, and language change.

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