#affectivescience — Public Fediverse posts

I try to keep things even-steven in terms of at least 3x reviews for every paper my group submits. With a slew of recent submissions 🎉, I'm in debt. Editors: know I'm excited to review papers in #affectivescience *especially* when they lean quantitative (behavioral & neural models, ML, etc).

#toReadList ; Just finished reading this beautiful interdisciplinary paper about relevance in #pragmatics and #affectivescience: "Relevance and emotion" by Wharton et al., 2021.
https://doi.org/10.1016/j.pragma.2021.06.001

Pleased to announce that our #SocialMedia side project "News source bias and sentiment on social media" just appeared in #PLoS_One ! ( #affectivescience , #psychology , #media , #news 1/3) :

https://journals.plos.org/plosone/article/metrics?id=10.1371/journal.pone.0305148

An implication for users:
#misinformation can be boosted not only by #sources (e.g., bad actors) and #semantics (e.g., topics related to outgroups), but also by #sentiment (e.g., negative arousal). By identifying and quantifying these elements, we might develop better filters and other tools for mitigating misinformation (stay tuned for future work 3/3). ( #affectivescience , #psychology , #media , #news )

Delighted to see our #socialmedia side project published in #PLoS_One:
"News source bias and sentiment on social media"
( #affectivescience , #psychology , #media , #news 1/3):

https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0305148

Excited to learn that our side project "News source bias and sentiment on social media" has been accepted for publication in #PLoS_One !
Here's a link to a preprint version -- key points follow in the next post ( #affectivescience , #psychology , #media , #news 1/3) :

https://osf.io/preprints/psyarxiv/jxu95