Calendario Seminari e Convegni di Dipartimento
By A. Tursi, T. Treu, Michel Martone, F. Maino, Angelo De Filippo, D. Filippo, Associati Potito, Di Nunzio, Studio Di, Nunzio – Consulenza del Lavoro and 17 more. 2013
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Ugur Kursuncu
- Manas Gaur
- W. Brady
- Amit P. Sheth
- Jay J. Van Bavel
- M. Hogg
- Krishnaprasad Thirunarayan
- John T. Jost
Citations in the corpus
- Emotion shapes the diffusion of moralized content in social networks (2017, background): “These findings indicate there may be an in-group advantage (22, 33) for moral contagion; that is, moral-emotional language may spread more widely within in-group networks than out-group networks (for a visualization of the retweet network for messages containing moral and emotional language, see Fig”
- Uncertain Self in a Changing World: A Foundation for Radicalisation, Populism, and Autocratic Leadership (2020, background): “Means not sharing a superscript differ significantly as a simple main effect. can largely choose their own on-line “echo chamber” as a source of information to validate their own worldview and social identity (cf. Barberá et al., 2015; Colleoni et al., 2014; Peters et al., 2010).”
- Examining Trolls and Polarization with a Retweet Network (2018, background): “"Filter bubbles," "echo chambers," and political homophily are well established in the space of social media [1, 4, 18].”
- From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models (2023, background): “Understanding Social Bias of LMs Studies have been conducted to measure political biases and predict the ideology of individual users (Colleoni et al., 2014; Makazhanov and Rafiei, 2013; Preoţiuc-Pietro et al., 2017), news articles (Li and Goldwasser, 2019; Feng et al.”
- What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding (2018, methodology): “working model to categorize a user as Idea Starter, Commentator, Curator, Amplifier, and Viewer. In the election domain, political homophily on social media forms a feature for user classification, and [12] illustrates its significance for resolving reciprocated or non-reciprocated ties in the network ”