BAR-analytics: A web-based platform for analyzing information spreading barriers in news: Comparative analysis across multiple barriers and events

International Journal of Information Management Data Insights Pub Date : 2025-09-02 DOI:10.1016/j.jjimei.2025.100368

Abdul Sittar, Dunja Mladenić, Alenka Guček, Marko Grobelnik

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引用次数: 0

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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BAR-analytics：一个基于web的平台，用于分析新闻中的信息传播障碍：跨多个障碍和事件的比较分析

本文介绍了BAR-Analytics，这是一个基于网络的开源平台，旨在分析跨越地理、经济、政治和文化边界的新闻传播。该平台以俄乌冲突和巴以冲突为例，集成了四种分析方法：传播分析、趋势分析、情感分析和时间主题建模。收集和分析了超过35万篇文章，重点是利用元数据富集研究经济差异和地理影响。我们使用连贯性、情感极性、主题频率和趋势变化作为关键指标来评估案例研究。我们的研究结果显示了新闻报道的不同模式：巴以冲突往往有更多的负面情绪，关注人权，而俄乌冲突更积极，强调选举干预。这些发现强调了政治、经济和区域因素在不同冲突中塑造媒体叙事的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Information Management Data Insights

CiteScore

19.20

自引率

0.00%

发文量