Volume 30, Issue 2
  • ISSN 1018-2101
  • E-ISSN: 2406-4238



The Twitter discussion with the hashtag #jesuisCharlie was a large-scale social media event commenting on the tragic terrorist attack that took place in Paris in 2015. In this paper, we analyze French tweets compiled with language technology methods from a large dataset. Our qualitative approach determines what types of affectivity are expressed. According to our results, first, core emotions are shared, and they are based on the identification with the internet meme (I am Charlie). In them, participants show their commitment to democratic values and freedom of speech, as well as grief. They build up a we-agency and togetherness between the networked participants. Second, participants disalign from those who do not share the same values or who are a threat to them. Here, the emotions range from irritation and doubt to anger and disgrace, manifesting awayness. They contain protest against how democratic values are violated.


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  • Article Type: Research Article
Keyword(s): #jesuisCharlie; affectivity; emotions; large-scale data; positioning; togetherness; Twitter
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