Emojis as Tools for Emotion Work: Communicating Affect in Text Messages

By Monica A. Riordan. 2017

191 citations recorded by the source corpus.

Subfields: Language and Linguistics, Literature and Literary Theory, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/772241ccabc6ec2cf89467dafd794bb6faeb565f

How researchers see this paper

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

In Language and Linguistics

1. Qi Dan
2. Zhe Mu
3. Maokun Yang
4. Qiyu Bai

In Literature and Literary Theory

1. Qi Dan
2. Zhe Mu
3. Maokun Yang
4. Qiyu Bai

In Human-Computer Interaction

1. Qi Dan
2. Zhe Mu
3. Maokun Yang
4. Qiyu Bai

Citations in the corpus

• A Systematic Review of Emoji: Current Research and Future Perspectives (2019, methodology): “Research done by Riordan (2017a) shows that the degree of misunderstanding of facial emoji is higher than that of non-facial emoji, but that both are related to the degree of information ambiguity.”