1 |
Long-term effects of valence, concreteness, and arousal on lexical reproduction
|
|
|
|
In: Proceedings of the Annual Meeting of the Cognitive Science Society, vol 43, iss 43 (2021)
|
|
Abstract:
Emotional factors like valence, concreteness, and arousal have been shown to influence lexical processing, in that they exhibit non-neutrality, positivity, and negativity biases, respectively (e.g. Kuperman et al. 2014, J. Exp. Psych.; Pauligk et al. 2019, Scientific Reports). Since even weak cognitive biases can yield strong tendencies on a larger time scale, we investigate diachronic long-term effects of these factors on the reproductive success of English words. We operationalize reproductive success by means of diachronic growth, age-of-acquisition and prevalence of words. By combining emotional norms (Warriner et al. 2013, Beh. Res. Meth.; Kuperman et al. 2012, Beh. Res. Meth.) with historical language data (COHA; controlling for semantic shift), we show that long-term effects of valence and concreteness largely mimic cognitive short-term biases. However, arousal, quite surprisingly, exhibits a clearly positive effect on lexical reproduction. We attribute this reversed effect to (i) interactions among emotional factors and (ii) social effects.
|
|
Keyword:
cognitive science
|
|
URL: https://escholarship.org/uc/item/0901t2ht
|
|
BASE
|
|
Hide details
|
|
2 |
Exploring Causal Relationships Among Emotional and Topical Trajectories in Political Text Data ...
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Long-term effects of valence, concreteness, and arousal on lexical reproduction ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
Abundance and other correlates of linguistic stability: formal predictions and evidence from sparse lexical items ...
|
|
|
|
BASE
|
|
Show details
|
|
5 |
DYLEN. Diachronic Dynamics of Lexical Networks. Progress & Current State of Affairs ...
|
|
|
|
BASE
|
|
Show details
|
|
6 |
DYLEN. Diachronic Dynamics of Lexical Networks. Progress & Current State of Affairs ...
|
|
|
|
BASE
|
|
Show details
|
|
7 |
Scaling Laws for Phonotactic Complexity in Spoken English Language Data ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Scaling Laws for Phonotactic Complexity in Spoken English Language Data ...
|
|
|
|
BASE
|
|
Show details
|
|
9 |
analysis – Supplemental material for Scaling Laws for Phonotactic Complexity in Spoken English Language Data ...
|
|
|
|
BASE
|
|
Show details
|
|
10 |
utils – Supplemental material for Scaling Laws for Phonotactic Complexity in Spoken English Language Data ...
|
|
|
|
BASE
|
|
Show details
|
|
11 |
data – Supplemental material for Scaling Laws for Phonotactic Complexity in Spoken English Language Data ...
|
|
|
|
BASE
|
|
Show details
|
|
12 |
data – Supplemental material for Scaling Laws for Phonotactic Complexity in Spoken English Language Data ...
|
|
|
|
BASE
|
|
Show details
|
|
13 |
utils – Supplemental material for Scaling Laws for Phonotactic Complexity in Spoken English Language Data ...
|
|
|
|
BASE
|
|
Show details
|
|
14 |
analysis – Supplemental material for Scaling Laws for Phonotactic Complexity in Spoken English Language Data ...
|
|
|
|
BASE
|
|
Show details
|
|
15 |
Scaling Laws for Phonotactic Complexity in Spoken English Language Data
|
|
|
|
In: Lang Speech (2020)
|
|
BASE
|
|
Show details
|
|
|
|