17 October (2019) Revolution in Lebanon: A Preliminary Analysis

Khatib, Dania Koleilat

doi:10.1007/978-3-031-15135-4_4

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…The main parties mentioned above were challenged this time by lists that were based on coalition between new and emerging opposition force and existing secular forces. The elections resulted in a hung parliament were March 8 coalition was still the most numerous group but without a majority [52,53]. About 19 seats were won by candidates of the secular opposition lists.…”

Section: Entropic Auto-correlationmentioning

confidence: 99%

“…Lebanon has been grappling with a severe economic crisis since 2019, which has caused an economic collapse. The country also witnessed a large-scale uprising between 2019 and 2020, with significant protests expressing widespread dissatisfaction [52]. Former Prime Minister Saad Hariri resigned, left the country, and subsequently withdrew from politics, including not running in the 2022 elections [56].…”

Section: Voter Transitionsmentioning

confidence: 99%

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Entropic Spatial Auto-correlation of Voter Uncertainty and Voter Transitions in Parliamentary Elections

Deeb¹

2023

Preprint

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This paper studies a novel spatial auto-correlation model of voter uncertainty across districts. We use the Moran I index to measure the auto-correlation of Shannon, relative Shannon, Tsallis and relative Tsallis entropies of regional electoral outcomes with respect to geographic adjacency, proximity and sectarian adjacency. Using data from the Lebanese parliamentary elections, we find strong geographic and gravitational adjacency correlations. More importantly, there is a notably strong correlation in sectarian adjacency in both 2018 and 2022 elections, with a very high level of confidence. This result asserts the dominance of the sectarian factor in Lebanese politics. We also introduce the method of maximized general entropy estimation that allows us to determine the Markov transition matrix of voters between consecutive elections.

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Section: Entropic Auto-correlationmentioning

confidence: 99%

Section: Voter Transitionsmentioning

confidence: 99%

Entropic Spatial Auto-correlation of Voter Uncertainty and Voter Transitions in Parliamentary Elections

Deeb¹

2023

Preprint

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“…This civil uprising was not an isolated event but the result of decades of socio-political challenges, systemic corruption, and economic distress. While the immediate trigger was tied to new tax proposals, the underpinnings of the revolution had roots in long-standing issues related to governance, economic distress, and a complex sectarian political system (Khatib 2022;Yahya 2019).…”

Section: Case 3: October Revolutionmentioning

confidence: 99%

Big Data for Development Studies? An Innovative Methodology

Lakshman,

te Lintelo,

Ford

et al. 2023

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This paper makes a foundational methodological contribution to the analysis of big data for development studies. Big data has revolutionised the natural and applied sciences (and commerce). However, its use within development studies has been comparatively limited. This is despite a clear potential for devising innovative research methodologies to generate new academic knowledge, theory, and empirical insights of practical relevance to the broad field of international development and humanitarian policy, programming, and action. The paper uses the publicly available Global Database of Events, Language, and Tone (GDELT) as a source of near-real-time big data. The aim is to develop an academically robust methodology, that can be replicated and easily modified to suit the needs of a wide development studies scholarship, while also exploring its prospects for generating valuable actionable knowledge, through an established academic–practitioner partnership.

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Introduction. New Wave of Revolutions in the MENA Region in the Global Perspective

Issaev

Korotayev

2022

Perspectives on Development in the Middle East and North Africa (MENA) Region

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17 October (2019) Revolution in Lebanon: A Preliminary Analysis

Cited by 8 publications

References 12 publications

Entropic Spatial Auto-correlation of Voter Uncertainty and Voter Transitions in Parliamentary Elections

Entropic Spatial Auto-correlation of Voter Uncertainty and Voter Transitions in Parliamentary Elections

Big Data for Development Studies? An Innovative Methodology

Introduction. New Wave of Revolutions in the MENA Region in the Global Perspective

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