Emotion shapes the diffusion of moralized content in social networks

By W. Brady, J. Wills, John T. Jost, Joshua A. Tucker, Jay J. Van Bavel. Proceedings of the National Academy of Sciences of the United States of America, 2017

1,037 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/02794d8954762a5b1eb70472be6e8f84007e4c9f

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Citations in the corpus

Partisan Polarization Is the Primary Psychological Motivation behind Political Fake News Sharing on Twitter (2020, background): “Twitter—with its fast diffusion of moralizing and emotion-laden political content (Brady et al. 2017)— may have fostered such a hostile environment, making considerations of hurting the out-party loom larger when deciding which news stories to share.”
Believing and sharing misinformation, fact-checks, and accurate information on social media: The role of anxiety during COVID-19 (2021, background): “Furthermore, emotionally evocative information sparks more user-driven diffusion online (Brady et al., 2017), including for scientific topics (Milkman and Berger, 2014), so new media users may be more likely to see (mis)information that resonates emotionally, facilitating affective and expressive re”
The MAD Model of Moral Contagion: The Role of Motivation, Attention, and Design in the Spread of Moralized Content Online (2019, methodology): “Whether it is political discussions that resemble echo chambers and often highlight political group differences (Barberá et al., 2015; Brady et al., 2017), political leaders who disseminate partisan content (Brady, Wills, et al., 2019), or the viral spread of fake political news (Lazer et al.,…”
Examining a hate speech corpus for hate speech detection and popularity prediction (2018, background): “Given that Twitter is a platform that enables sharing ideas, and given that extreme ideas have a tendency to intensely spread through social networks (Brady et al., 2017), our question is: how does the fact that a tweet is a hate tweet affect its popularity?”
GPT is an effective tool for multilingual psychological text analysis (2024, methodology): “This method is widely used within psychological research (9, 10, 18, 30–33).”
Identity concerns drive belief: The impact of partisan identity on the belief and dissemination of true and false news (2018, background): “Fake news are mainly shared through social media (Vosoughi et al., 2018), and political content tends to be shared within ideological echo chambers (Brady et al., 2017; Brady et al., 2020).”
Countering Misinformation and Fake News Through Inoculation and Prebunking (2021, background): “People are generally more likely to share messages featuring moral–emotional language (Brady et al., 2017), and this tendency may be amplified by people’s negativity bias, that is the human proclivity to attend more to negative than to positive things (Soroka et al., 2019).”
Political Psychology in the Digital (mis)Information age: A Model of News Belief and Sharing (2020, background): “However, given that misinformation tends to be particularly negative, spreads quickly, and is false (Brady et al. 2017; Vosoughi, Roy, & Aral, 2018), it may contribute to social conflict even more so than factual information.”
Art and the science of generative AI (2023, background): “Indeed, people’s attention is often focused away from accuracy when browsing social media and instead attention is often oriented towards moral [102], emotional [103, 104] and sensational content [105].”
The Ethics of AI Ethics: An Evaluation of Guidelines (2019, background): “From echo chamber effects (Pariser 2011) to the use of propaganda bots (Howard and Kollanyi 2016), or the spread of fake-news (Vosoughi, Roy, and Aral 2018), AI always played a key role to the effect of diminishing social cohesion, fostering instead radicalization, the decline of reason in public di”