This page collects the work developed by GSI within the H2020 project Participation (https://participation-in.eu/).
The project dashboard is available at https://participation.gsi.upm.es/.
The dashboard aims at monitoring extremisms in the social media network Twitter. In particular, we focus on four types of extremisms: religious, far left, far right, and separatism. In addition, we are interested in analyzing the narratives of these extremisms, as well as the counter-narratives and alternative narratives. The final goal is understanding extremist dynamics with the aim of developing social and educational interventions and policies to prevent it.
The information shown in the dashboard is collected based on manually selected hashtags for every type of extremism and narrative type. (Linguistic Inquiry and Word Count) Social messages have been processed using the linguistic resource LIWC (Linguistic Inquiry and Word Count). LIWC provides a dictionary to identify latent emotional and psychological elements in discourse in texts.
For every extremism and narrative type, the following information is shown:
- Volume: number of messages per day
- Polarization: positive and negative emotions of the messages.
- Topics: main topics (hashtags) of the messages.
- Drives and needs:
- Power: impact and influence in others, associated with aggressivity in extremisms.
- Reward focus: references to rewards, incentives, positive goals.
- Affiliation: the concern for maintaining relations with others.
- Risk: dangers, concerns, things to avoid.
- Achievement: reference to success or failure,
- Social: references to family, friends, male persons, and female persons.
- Personal and religious concerns: references to religion, work, leisure, and home.
- Geographical: geographical distribution of the messages and references to places.