TL;DR
This paper investigates how online discussions influence emotional states, modeling the dynamics of valence and arousal through empirical data and dynamical systems principles, revealing mechanisms of emotional regulation and content influence.
Contribution
It introduces an empirical validation of a computational model of online emotional dynamics, linking data analysis with dynamical systems theory.
Findings
Valence dynamics show positive and negative tendencies.
Arousal increases with emotional content regardless of polarity.
Participants' arousal decreases after participation as a regulation mechanism.
Abstract
We study the changes in emotional states induced by reading and participating in online discussions, empirically testing a computational model of online emotional interaction. Using principles of dynamical systems, we quantify changes in valence and arousal through subjective reports, as recorded in three independent studies including 207 participants (110 female). In the context of online discussions, the dynamics of valence and arousal are composed of two forces: an internal relaxation towards baseline values independent of the emotional charge of the discussion, and a driving force of emotional states that depends on the content of the discussion. The dynamics of valence show the existence of positive and negative tendencies, while arousal increases when reading emotional content regardless of its polarity. The tendency of participants to take part in the discussion increases with…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
