ECPR

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ECPR

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Developments in Computational Social Science

Methods
Quantitative
Mixed Methods
Empirical
P128
Theodore Chadjipadelis
Aristotle University of Thessaloniki
Iris Reus
Otto-von-Guericke University Magdeburg

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