Political Communication and Influence through Microblogging--An Empirical Analysis of Sentiment in Twitter Messages and Retweet Behavior

By Stefan Stieglitz, Linh Dang-Xuan. Hawaii International Conference on System Sciences, 2012

311 citations recorded by the source corpus.

Subfields: Communication, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/69475238c05a18a40a68bf2827027d64ab6f34c6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Jay J. Van Bavel
2. Ramaravind Kommiya Mothilal
3. Palashi Vaghela
4. Joyojeet Pal
5. John T. Jost
6. W. Brady
7. Joshua A. Tucker

In Statistical and Nonlinear Physics

1. Ramaravind Kommiya Mothilal
2. Palashi Vaghela
3. Joyojeet Pal
4. John T. Jost
5. W. Brady

Citations in the corpus

• Emotion shapes the diffusion of moralized content in social networks (2017, methodology): “S1 to S3 Tables S1 to S19 References (1-21)”
• Birds of a Caste - How Caste Hierarchies Manifest in Retweet Behavior of Indian Politicians (2020, methodology): “Prior work in information studies have effectively used odds ratio to contrast a certain behavior in social networks between two groups [39, 46, 51, 89, 95].”
• The MAD Model of Moral Contagion: The Role of Motivation, Attention, and Design in the Spread of Moralized Content Online (2019, background): “For instance, political discussions infused with emotional language were shared the most widely in a study investigating discourse related to an election (Stieglitz & Dang-Xuan, 2012).”