Skip to content

Commit 4dfcfbd

Browse files
committed
added project
1 parent 671520e commit 4dfcfbd

File tree

1 file changed

+2
-4
lines changed

1 file changed

+2
-4
lines changed

_data/positions.yml

Lines changed: 2 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -11,6 +11,7 @@
1111
contact: "Christian Rohner"
1212
url: "https://uu.varbi.com/en/what:job/jobID:799399/"
1313

14+
1415
- level: "Master's theses"
1516
status: "open"
1617
positions:
@@ -19,10 +20,7 @@
1920
description: "This project builds over a previous MSc thesis where we constructed a social opportunity network from statistical population registers, representing different types of relations such as family, or working on the same place, or living in the same neighborhood. The network contains around 10 million Swedish residents, with yearly updates on the status of their relations. The objective of this project is to study segregation processes over these networks."
2021
requirements: "Databases, Data Mining (required), Mining of Social Data, graph algorithsm, data engineering courses (meriting)"
2122
contact: "Matteo Magnani"
22-
23-
- level: "Master's theses"
24-
status: "open"
25-
positions:
23+
2624
- title: "When and why Emotional Manipulative Language (EML) is effective?"
2725
status: "open"
2826
description: "This project integrates NLP, temporal network analysis, and action detection to study the dynamics of Emotional Manipulative Language (EML) in social communication. Conversational data from dyads or small groups will be transcribed and represented as temporal text networks, where nodes are utterances and speakers, and edges model conversational flow. A pretrained EML detection model will label manipulative utterances, while an action detection model will assess whether manipulative attempts lead to compliance, enabling the distinction between manipulative intent and effectiveness. The resulting signed networks will capture successful versus resisted influence, allowing us to analyze who manipulates whom, which strategies succeed, and how manipulation evolves over time. The outcome is a computational pipeline for tracing manipulation at scale, with implications for social science, security, and digital well-being."

0 commit comments

Comments
 (0)