BAR-Analytics: A Web-based Platform for Analyzing Information Spreading Barriers in News: Comparative Analysis Across Multiple Barriers and Events

Abdul Sittar, Dunja Mladenic, Alenka Gucek, Marko Grobelnik
3/31/2025
cs.CL

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Abstract

This paper presents BAR-Analytics, a web-based, open-source platform designed to analyze news dissemination across geographical, economic, political, and cultural boundaries. Using the Russian-Ukrainian and Israeli-Palestinian conflicts as case studies, the platform integrates four analytical methods: propagation analysis, trend analysis, sentiment analysis, and temporal topic modeling. Over 350,000 articles were collected and analyzed, with a focus on economic disparities and geographical influences using metadata enrichment. We evaluate the case studies using coherence, sentiment polarity, topic frequency, and trend shifts as key metrics. Our results show distinct patterns in news coverage: the Israeli-Palestinian conflict tends to have more negative sentiment with a focus on human rights, while the Russia-Ukraine conflict is more positive, emphasizing election interference. These findings highlight the influence of political, economic, and regional factors in shaping media narratives across different conflicts.

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Cite this paper

@article{sittar2025baranalytics,
  title  = {BAR-Analytics: A Web-based Platform for Analyzing Information Spreading Barriers in News: Comparative Analysis Across Multiple Barriers and Events},
  author = {Abdul Sittar and Dunja Mladenic and Alenka Gucek and Marko Grobelnik},
  year   = {2025},
  eprint = {2503.24220},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2503.24220v1}
}

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