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European Scientific Journal
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Digital Linguistic Markers of Emotions during the September 2024 Hostilities in Lebanon: A Case Study in Communication Arts Course at a University Level in Southern Lebanon

Authors: Nadine Sami Joudi; Nawal Nabih Ayoub;

Digital Linguistic Markers of Emotions during the September 2024 Hostilities in Lebanon: A Case Study in Communication Arts Course at a University Level in Southern Lebanon

Abstract

Language and emotions are intricate systems that have several interactions. Amid the expeditious spread of digitalization and the upswing of various international issues, this case study seeks to explore how students at the Lebanese University in the South utilize language on social media to convey their emotions as of the 2024 clashes and airstrikes in Lebanon. Further, it aims to identify digital linguistic markers that reflect key emotional states and social identity. Drawing on discourse analysis, which acknowledges language as a dynamic system influenced by shared experiences, values, and beliefs, and notably, by Conceptual Act Theory, which explores how meaning is constructed from experiences and perceptions, and on sentiment analysis, a mixed-methods approach is employed. A convenient sampling of (191) university EFL students taking the Communication Arts module during the fall of 2024-2025 completed an online survey of 15 multiple-choice and Likert scale items. Twelve students joined a focus group discussion, and 155 out of 191 participants interacted on the web-based application Padlet. The findings show that utilizing language in the context of social media platforms through words, emojis, hashtags, slogans, or posting articles, images, or videos plays a vital role not only in channeling positive and negative sentiments but also in signaling belonging to a collective identity during times of crisis in Lebanon. The overall analysis indicated that using various linguistic practices on social media platforms communicates positive and negative emotions and upholds social norms and ideologies.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold