Israel-Hamas war through Telegram, Reddit and Twitter

• URL: http://arxiv.org/abs/2502.00060v1
• Date: Thu, 30 Jan 2025 08:20:26 GMT
• Title: Israel-Hamas war through Telegram, Reddit and Twitter
• Authors: Despoina Antonakaki, Sotiris Ioannidis,
• Abstract summary: The study will cover an analysis of the related discussion in relation to different participants of the conflict and sentiment represented in those discussion. We apply a volume analysis across the three datasets, entity extraction and then proceed to BERT topic analysis. Our findings hint at polarized narratives as the hallmark of how political factions and outsiders mold public opinion.
• Score: 9.020777839880571
• License:
• Abstract: The Israeli-Palestinian conflict started on 7 October 2023, have resulted thus far to over 48,000 people killed including more than 17,000 children with a majority from Gaza, more than 30,000 people injured, over 10,000 missing, and over 1 million people displaced, fleeing conflict zones. The infrastructure damage includes the 87\% of housing units, 80\% of public buildings and 60\% of cropland 17 out of 36 hospitals, 68\% of road networks and 87\% of school buildings damaged. This conflict has as well launched an online discussion across various social media platforms. Telegram was no exception due to its encrypted communication and highly involved audience. The current study will cover an analysis of the related discussion in relation to different participants of the conflict and sentiment represented in those discussion. To this end, we prepared a dataset of 125K messages shared on channels in Telegram spanning from 23 October 2025 until today. Additionally, we apply the same analysis in two publicly available datasets from Twitter containing 2001 tweets and from Reddit containing 2M opinions. We apply a volume analysis across the three datasets, entity extraction and then proceed to BERT topic analysis in order to extract common themes or topics. Next, we apply sentiment analysis to analyze the emotional tone of the discussions. Our findings hint at polarized narratives as the hallmark of how political factions and outsiders mold public opinion. We also analyze the sentiment-topic prevalence relationship, detailing the trends that may show manipulation and attempts of propaganda by the involved parties. This will give a better understanding of the online discourse on the Israel-Palestine conflict and contribute to the knowledge on the dynamics of social media communication during geopolitical crises.

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