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This study uses sentiment analysis and the moral foundations theory (mft) to characterise news content in social media and examine its association with user engagement Examining the role of moral foundations in user engagement with news on twitter. We employ natural language processing to quantify the moral and affective linguistic markers
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At the same time, we automatically define thematic macro areas of news from major u.s Bibliographic details on beyond sentiment News outlets and their twitter followers (jan.
Their study uses sentiment analysis and moral foundations theory to examine how moral and emotional language influences user engagement on twitter.
News outlets and their twitter. This study uses sentiment analysis and the moral foundations theory (mft) to characterise news content in social media and examine its association with user engagement. Media for news, our research aims to understand and predict factors that drive user engagement for news on social media Finally, we report moral sentiment classification baselines for this corpus using a range of popular methodologies
Interannotator agreement (pabak and kappa) scores for all datasets and foundations. This study uses sentiment analysis and the moral foundations theory to characterise news content in social media and examine its association with user engagement, and identifies the emotional and moral characteristics that mostly explain user engagement via regression modelling. We analysed 135k+ tweets from major u.s News outlets—and millions of replies—to uncover how emotions and moral values embedded in news content relate to the readership's engagement.
Abstract this study uses sentiment analysis and the moral foundations theory (mft) to characterise news content in social media and examine its association with user engagement
