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Developments in Computational Social Science

Methods
Quantitative
Mixed Methods
Empirical
P128
Iris Reus
Johann Wolfgang Goethe-Universität Frankfurt
New topics, new challenges, new data, new tools - Advancing methods in a rapidly changing research environment

Building: O'Brien Centre for Sciences, Floor: 2, Room: ALE E2.16/2.17

Tuesday 14:00 - 15:45 BST (13/08/2024)

Abstract

The panel brings together papers offering new avenues in computational social science including advancements in natural language processing, algorithmic models and machine learning among others.

Title Details
Matching far-right voices: A computational exploration of user identity linkage strategies across social media platforms View Paper Details
Mapping the Evolution of Threat Perceptions in Global Security Documents with Natural Language Processing View Paper Details
Mapping the Media in Two Dimensions through Large Language Models and Machine Learning View Paper Details
Resource-efficient Sequential Coding of the Most Important Problem with a Large Language Model View Paper Details
The Use of Machine Learning Methods in Political Science: an In-depth Literature Review View Paper Details