15 citations · 36 across the 8 of their papers we have counts for
8 papers
Neural Networks Measure Peace Levels from News Data similar to Peace Indices
Pablo Lara-Martínez, Bibiana Obregón-Quintana, Larry S. Liebovitch +2
Traditional methods for assessing national peace levels typically rely on socio-economic indicators or conflict incidence, often overlooking the nuanced signals embedded in public…
AI Application Gives Users Real-Time Feedback on the Level of Peace in the Social Media Videos They Watch
P. Gilda, P. Dungarwal, A. Thongkham +11
Most people now get their news from videos on social media, such as YouTube and Facebook, rather than through curated journalism. "We become what we behold." The content and tone o…
Words that Represent Peace
T. Prasad, L. S. Liebovitch, M. Wild +2
We used data from LexisNexis to determine the words in news media that best classifies countries as higher or lower peace. We found that higher peace news is characterized by theme…
Classifying Peace in Global Media Using RAG and Intergroup Reciprocity
K. Lian, L. S. Liebovitch, M. Wild +5
This paper presents a novel approach to identifying insights of peace in global media using a Retrieval Augmented Generation (RAG) model and concepts of Positive and Negative Inter…
Machine Learning Classification of Peaceful Countries: A Comparative Analysis and Dataset Optimization
K. Lian, L. S. Liebovitch, M. Wild +5
This paper presents a machine learning approach to classify countries as peaceful or non-peaceful using linguistic patterns extracted from global media articles. We employ vector e…
Word differences in news media of lower and higher peace countries revealed by natural language processing and machine learning
Larry S. Liebovitch, William Powers, Lin Shi +3
Language is both a cause and a consequence of the social processes that lead to conflict or peace. Hate speech can mobilize violence and destruction. What are the characteristics o…