Wait Signals Predict Sarcasm in Online Debates

J. Trevor D’Arcey, Shereen Oraby, Jean E. Fox Tree


Abstract
We examined the predictive value of wait signals for sarcasm in online debate forums. In a corpus comparison we examined the word frequency of um and uh across six corpora. In general, there were far more fillers in spoken corpora than written corpora. We also found that the proportion of ums to uhs varied by corpus type. In Experiment 1 we tested whether the inclusion of um or uh at the beginning of online debate forum posts led to higher probability of those posts being classified as sarcastic by Amazon Mechanical Turk workers. We found that posts beginning with these items were twice as likely to be labeled sarcastic. In Experiment 2 we tested fillers and ellipses in the middle of posts. We found that posts including these items were approximately three to five times more likely to be labeled sarcastic. We compared results to other signals like the word obviously and quotation marks. Signals that indicate delay in written communication cue readers to non-literal meaning.
Anthology ID:
2019.dnd-10.2
Volume:
Dialogue Discourse Volume 10
Month:
Year:
2019
Address:
Editors:
Vera Demberg, Manfred Stede, Barbara Di Eugenio, Maite Taboada, Patrick Healey
Venue:
DND
SIG:
SIGDIAL
Publisher:
Note:
Pages:
56–78
Language:
URL:
https://preview.aclanthology.org/ingest-dnd/2019.dnd-10.2/
DOI:
10.5087/dad.2019.203
Bibkey:
Cite (ACL):
J. Trevor D’Arcey, Shereen Oraby, and Jean E. Fox Tree. 2019. Wait Signals Predict Sarcasm in Online Debates. Dialogue & Discourse, 10:56–78.
Cite (Informal):
Wait Signals Predict Sarcasm in Online Debates (D’Arcey et al., DND 2019)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-dnd/2019.dnd-10.2.pdf