Quantifying Latent Moral Foundations in Twitter Narratives: The Case of the Syrian White Helmets Misinformation
Ece \c{C}i\u{g}dem Mutlu, Toktam Oghaz, Ege T\"ut\"unc\"uler, Jasser, Jasser, Ivan Garibay

TL;DR
This study analyzes Twitter narratives related to the Syrian White Helmets to quantify latent moral foundations using an extended moral dictionary, revealing patterns in moral rhetoric and their temporal variations.
Contribution
It introduces a method to quantify moral rhetoric in social media texts using an extended moral foundations dictionary, linking moral dimensions to misinformation analysis.
Findings
People share more virtue than vice moral rhetoric.
Moral rhetoric patterns are consistent over time, but their strength varies.
Harm/Care rhetoric is less used but more polarized and impactful.
Abstract
For years, many studies employed sentiment analysis to understand the reasoning behind people's choices and feelings, their communication styles, and the communities which they belong to. We argue that gaining more in-depth insight into moral dimensions coupled with sentiment analysis can potentially provide superior results. Understanding moral foundations can yield powerful results in terms of perceiving the intended meaning of the text data, as the concept of morality provides additional information on the unobservable characteristics of information processing and non-conscious cognitive processes. Therefore, we studied latent moral loadings of Syrian White Helmets-related tweets of Twitter users from April 1st, 2018 to April 30th, 2019. For the operationalization and quantification of moral rhetoric in tweets, we use Extended Moral Foundations Dictionary in which five psychological…
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Taxonomy
TopicsMisinformation and Its Impacts · Terrorism, Counterterrorism, and Political Violence · Hate Speech and Cyberbullying Detection
