Papers by Valentina Dragos

2 papers
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.

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