🌟 This week, we're spotlighting our incredible SAS 2025 speakers lineup! Check back each day to learn more!🌟
Kicking things off: The Keynote Symposium which will be held Friday, 3/21, 2:00pm - 3:00pm in Portland. Join us to explore how to bring emotion research to the real world with Katie McLaughlin, Sylvia Perry, and Judith Andersen!
📅 Register now—early bird ends Jan 31! 👉
society-for-affective-science.org
🌟 New Issue Alert! 🌟 Discover how social media shapes emotions across ages, cultures, and contexts! Dive into 18 groundbreaking articles on everything from adolescent self-evaluations to #MeToo moral discourse. 🧠📱✨
📰 Read it now at Affective Science!
https://link.springer.com/journal/42761/volumes-and-issues/5-4
#AffectiveScience #SocialMedia #EmotionResearch #Psychology #InterdisciplinaryScience
Submit your research to #SAS2025! Whether you've got fresh data, a bold new idea, or a knack for sparking discussion, there’s a spot for you!
🕛 Submissions close Friday, Nov. 8 at 11:59 p.m. Baker Island Time. Don't miss out!
#AffectiveScience #LastCall #SubmitNow
https://society-for-affective-science.org/2025-sas-annual-conference/abstracts/
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
As social media becomes a key channel for news consumption and sharing, proliferating partisan and mainstream news sources must increasingly compete for users’ attention. While affective qualities of news content may promote engagement, it is not clear whether news source bias influences affective content production or virality, or whether any differences have changed over time. We analyzed the sentiment of ~30 million posts (on twitter.com) from 182 U.S. news sources that ranged from extreme left to right bias over the course of a decade (2011–2020). Biased news sources (on both left and right) produced more high arousal negative affective content than balanced sources. High arousal negative content also increased reposting for biased versus balanced sources. The combination of increased prevalence and virality for high arousal negative affective content was not evident for other types of affective content. Over a decade, the virality of high arousal negative affective content also increased, particularly in balanced news sources, and in posts about politics. Together, these findings reveal that high arousal negative affective content may promote the spread of news from biased sources, and conversely imply that sentiment analysis tools might help social media users to counteract these trends.
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
As social media becomes a key channel for news consumption and sharing, proliferating partisan and mainstream news sources must increasingly compete for users’ attention. While affective qualities of news content may promote engagement, it is not clear whether news source bias influences affective content production or virality, or whether any differences have changed over time. We analyzed the sentiment of ~30 million posts (on twitter.com) from 182 U.S. news sources that ranged from extreme left to right bias over the course of a decade (2011–2020). Biased news sources (on both left and right) produced more high arousal negative affective content than balanced sources. High arousal negative content also increased reposting for biased versus balanced sources. The combination of increased prevalence and virality for high arousal negative affective content was not evident for other types of affective content. Over a decade, the virality of high arousal negative affective content also increased, particularly in balanced news sources, and in posts about politics. Together, these findings reveal that high arousal negative affective content may promote the spread of news from biased sources, and conversely imply that sentiment analysis tools might help social media users to counteract these trends.
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) :
Nicole Rust
Marine Mas, PhD
Society for Affective Science
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