Papers by Aline Etienne
Exploring the Emotional Dimension of French Online Toxic Content (2024.lrec-main)
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| Challenge: | Emotion annotations can be used to analyze content and can be applied to content analysis. |
| Approach: | They propose to use a corpus annotation scheme to annotate three online data sets composed of extremist, sexist and hateful messages respectively. |
| Outcome: | The proposed method can provide new insights for content analysis and stronger empirical background for automatic content detection. |
Angry or Sad ? Emotion Annotation for Extremist Content Characterisation (2022.lrec-1)
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| Challenge: | Social platforms play an increasingly important role in the propagation of extremist ideas. |
| Approach: | They propose to use a linguistic annotation scheme to characterize extremist content in French . they validate the scheme and test its ability to capture various aspects of emotions . |
| Outcome: | The proposed method combines sociological and linguistic knowledge to characterize extremist content in French. |
A (Psycho-)Linguistically Motivated Scheme for Annotating and Exploring Emotions in a Genre-Diverse Corpus (2022.lrec-1)
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| Challenge: | Using a linguistic perspective, emotion annotation is considered a difficult task because of the lack of consensus on emotional categories, the fuzziness of boundaries between them or the great variability of emotion expressions types. |
| Approach: | They propose a scheme for emotion annotation and its manual application on a genre-diverse corpus of texts written in french. |
| Outcome: | The proposed method clarifies the main concepts implied by the analysis of emotions as they are expressed in texts and performs a manual annotation campaign on a corpus of 1,594 texts (ca. 515K tokens) of different genres. |