Expressing emotion in text-based communication

By Jeffrey T. Hancock, Christopher Landrigan, C. Silver. International Conference on Human Factors in Computing Systems, 2007

363 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Social Psychology, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/35c0aede428d3a1e609173d69867cff70dd49212

How researchers see this paper

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

In Experimental and Cognitive Psychology

1. Eric Gilbert
2. Osmar R Zaiane
3. Ameneh Gholipour Shahraki
4. Tanushree Mitra
5. Ali Yadollahi

In Social Psychology

1. Eric Gilbert
2. Tanushree Mitra

In Human-Computer Interaction

1. Eric Gilbert
2. Tanushree Mitra

Citations in the corpus

• Widespread Worry and the Stock Market (2010, neutral): “Clearly, these are conservative classifiers with noise.”
• Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010, neutral): “[135], [136], [137].”
• Current State of Text Sentiment Analysis from Opinion to Emotion Mining (2017, background): “Hancock et al. [2007] is one of the works to characterize how users express emotions in text-based systems.”
• Discovering Shifts to Suicidal Ideation from Mental Health Content in Social Media (2016, neutral): “More verbosity in shared content has previously been shown to be a sign of increased selfdisclosure and cognitive complexity; however less activity in community settings has also previously been shown to be indicative of social isolation [30].”
• The language that gets people to give: phrases that predict success on kickstarter (2014, methodology): “Content analysis of CMC text can lead to meaningful inferences about human behavior in different social contexts, something we believe is demonstrated in this research.”