Multi-Level Analysis of Political Sentiments Using Twitter Data: A Case Study of the Palestinian-Israeli Conflict

AlAgha, Iyad; Dahrooj, Osama

doi:10.5455/jjcit.71-1562700251

Cited by 7 publications

(6 citation statements)

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“…Термин «социальная сеть» обозначает сосредоточение социальных объектов, которые можно Vitaly R. Grigoriev, Dmitry O. Zhukov Models and methods for analyzing complex networks and social network structures Russian Technological Journal. 2023;11(2): [33][34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49] то сегодня электронные сети эту задачу несколько упростили. Это произошло за счет использования пассивных данных (таких как веб-страницы и данные почтовых хранилищ).…”

Section: социальные сети и их общие свойстваunclassified

“…Авторы статей [35,36] проводят анализ с использованием машинного обучения и тональности текста, которые являются одним из основных инструментов SNA, особенно для восстановления демографических признаков, для чего необходимы знания в области машинного обучения и компьютерной лингвистики. Изучая компьютерную лингвистику, можно найти множество различных методов анализа письменного текста помимо анализа тональности.…”

Section: анализ сетевых структур и прогнозирование динамики обществен...unclassified

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Models and methods for analyzing complex networks and social network structures

Perova

Grigoriev

Zhukov

2023

Rossijskij tehnologičeskij žurnal

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Objectives. The study aimed to investigate contemporary models, methods, and tools used for analyzing complex social network structures, both on the basis of ready-made solutions in the form of services and software, as well as proprietary applications developed using the Python programming language. Such studies make it possible not only to predict the dynamics of social processes (changes in social attitudes), but also to identify trends in socioeconomic development by monitoring users’ opinions on important economic and social issues, both at the level of individual territorial entities (for example, districts, settlements of small towns, etc.) and wider regions.Methods. Dynamic models and stochastic dynamics analysis methods, which take into account the possibility of self-organization and the presence of memory, are used along with user deanonymization methods and recommendation systems, as well as statistical methods for analyzing profiles in social networks. Numerical modeling methods for analyzing complex networks and processes occurring in them are considered and described in detail. Special attention is paid to data processing in complex network structures using the Python language and its various available libraries.Results. The specifics of the tasks to be solved in the study of complex network structures and their interdisciplinarity associated with the use of methods of system analysis are described in terms of the theory of complex networks, text analytics, and computational linguistics. In particular, the dynamic models of processes observed in complex social network systems, as well as the structural characteristics of such networks and their relationship with the observed dynamic processes including using the theory of constructing dynamic graphs are studied. The use of neural networks to predict the evolution of dynamic processes and structure of complex social systems is investigated. When creating models describing the observed processes, attention is focused on the use of computational linguistics methods to extract knowledge from text messages of users of social networks.Conclusions. Network analysis can be used to structure models of interaction between social units: people, collectives, organizations, etc. Compared with other methods, the network approach has the undeniable advantage of operating with data at different levels of research to ensure its continuity. Since communication in social networks almost entirely consists of text messages and various publications, almost all relevant studies use textual analysis methods in conjunction with machine learning and artificial intelligence technologies. Of these, convolutional neural networks demonstrated the best results. However, the use of support vector and decision tree methods should also be mentioned, since these contributed considerably to accuracy. In addition, statistical methods are used to compile data samples and analyze obtained results.

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Section: социальные сети и их общие свойстваunclassified

Section: анализ сетевых структур и прогнозирование динамики обществен...unclassified

Models and methods for analyzing complex networks and social network structures

Perova

Grigoriev

Zhukov

2023

Rossijskij tehnologičeskij žurnal

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“…Zeitzoff (2011) collected data from social media and implemented vector autoregression to measure conflict dynamics between the Israeli Air Force (IAF) and Hamas during the Gaza conflict of 2008. Alagha and Dahrooj (2019) also conducted a study on the Israel-Palestine conflict by using modern NLP tools, such as ArkTweetNLP and LingPipe, to analyze individual and national opinions on the Israel-Palestine conflict in the past.…”

Section: Israel-palestine Conflict and Social Mediamentioning

confidence: 99%

“…To represent data in a uniform fashion, we have use friendliness score as a metric, as implemented in Alagha and Dahrooj (2019) respect to its population removing the bias of representation of highly-populated countries in the geoplot. The values for the metric are in the interval [-1,1] with -1 specifying absolute support for Israel and 1 specifying absolute support for Palestine.…”

Section: Data Visualization and Inferencesmentioning

confidence: 99%

Taking sides: Public Opinion over the Israel-Palestine Conflict in 2021

Arsal¹,

Khan²,

Lyu³

et al. 2022

Preprint

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The Israel-Palestine Conflict, one of the most enduring conflicts in history, dates back to the start of the 19 th century and has deeply rooted complex issues in politics, demography, religion, and other aspects, making it harder to attain resolve. To understand the global sentiment on the conflict, we devise an observational study to understand the friendliness of countries, agglomerated by the sentiments of tweets. We collect Twitter data using popular hashtags around and specific to the conflict containing opinions neutral or partial to the two parties. We use different sentiment analysis tools and methods to classify tweets into pro-Palestinian, pro-Israel, or neutral. This paper further describes the implementation of data mining methodologies to obtain insights into the global notion of the conflict and attempts to reason about countries' partiality toward a side in the conflict.2 https://www.vox.com/22440330/israel-palestine-gazaairstrikes-hamas-updates-2021 3 https://www.cfr.org/global-conflict-tracker/conflict/israelipalestinian-conflict 4 https://backlinko.com/twitter-users

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“…Other Iyad & Dahrooj [22] presented an analytical study to measure political public opinion regarding the Palestinian-Israeli conflict using Twitter data. The study uses a new data analysis model that leverages two levels of analysis: country-level analysis and individual-level analysis.…”

Section: Literature Backgroundmentioning

confidence: 99%

The Impact of the Covid-19 Cases with Twitter Users in Their Perception of the Brazilian Government

Júnior¹,

Loutfi²,

Siqueira³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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During the COVID-19 pandemic, political discussions in Brazil revolved around the pandemic and the controversial leader Jair Bolsonaro. Twitter reflected these discussions, also bringing reports of user dramas that had family members victimized by Covid-19. This study investigates their perception of the federal government through a quantitative and qualitative analysis of these users' tweets. We have identified 3,756 Twitter users who reported cases of family members with Covid-19 and collected their government-related tweets before and after those reports. We analyzed the feelings expressed in these tweets using automated techniques and extracted a sample of 650 tweets that had difficult-to-understand terms for a manual analysis of the feelings. The study found subtle changes in the perceptions of people who approve or disapprove of the federal government.

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Multi-Level Analysis of Political Sentiments Using Twitter Data: A Case Study of the Palestinian-Israeli Conflict

Cited by 7 publications

References 0 publications

Models and methods for analyzing complex networks and social network structures

Models and methods for analyzing complex networks and social network structures

Taking sides: Public Opinion over the Israel-Palestine Conflict in 2021

The Impact of the Covid-19 Cases with Twitter Users in Their Perception of the Brazilian Government

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