分析新闻传播障碍的开源平台，对比两场冲突的媒体叙事差异。
BAR-Analytics: A Web-based Platform for Analyzing Information Spreading Barriers in News: Comparative Analysis Across Multiple Barriers and Events
- 构建多维度分析框架，整合传播、趋势、情感与时间主题建模。
- 分析超35万篇文章，发现以巴冲突更负面且聚焦人权，俄乌冲突更正面关注选举干预。
- 适合研究国际传播、媒体偏见或跨文化信息流动的研究者使用。
本文提出BAR-Analytics，一个基于Web的开源平台，用于分析新闻在地理、经济、政治和文化边界上的传播障碍。以俄乌冲突和以巴冲突为例，平台集成传播分析、趋势分析、情感分析与时间主题建模四种方法。共收集并分析超过35万篇新闻文章，通过元数据增强聚焦经济差异与地理影响。采用一致性、情感极性、主题频率与趋势变化作为评估指标。结果表明：以巴冲突报道情感倾向更负，关注人权议题；俄乌冲突则情感更积极，侧重选举干预。研究揭示了政治、经济与区域因素对媒体叙事的显著影响。
原文摘要 · Abstract (English)
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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