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المؤلفEl-Masri, Mazen
المؤلفRamsay, Allan
المؤلفAhmed, Hanady Mansour
المؤلفAhmad, Tariq
تاريخ الإتاحة2022-11-07T10:50:07Z
تاريخ النشر2020-04-20
اسم المنشورInformation Communication and Society
المعرّفhttp://dx.doi.org/10.1080/1369118X.2020.1748086
الاقتباسEl-Masri, M., Ramsay, A., Ahmed, H. M., & Ahmad, T. (2021). Positive sentiments as coping mechanisms and path to resilience: the case of Qatar blockade. Information, Communication & Society, 24(13), 1835-1853.
الرقم المعياري الدولي للكتاب1369-118X
معرّف المصادر الموحدhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85083707997&origin=inward
معرّف المصادر الموحدhttp://hdl.handle.net/10576/35874
الملخصExisting research on coping accentuates the role of positive emotions as defensive mechanisms to cope with stressful situations and the ensuing negative emotions. The same literature justifies the long-term effects of positive emotions that help build lasting resilience. Grounded in theories of coping and resilience, this paper (1) identifies the emotions that people actuate to cope with adversaries and (2) evaluates the resulting long-lasting adaptation and resilience. To do this, we examined the emotions felt by Qatar residents due to a land, sea, and air blockade enforced by neighbouring counties. Accordingly, we analysed 160,000 Arabic tweets originating from Qatar between June-2017 and March-2018 using a novel machine-learning algorithm termed Weighted Conditional Probability. Our algorithm achieved state-of-the-art performance when compared with the often-used Support Vector Machine, Naïve Bayes and Deep Neural Nets algorithms. Results show that, while Qatar residents experienced an emotional roller coaster during the blockade, they used positive emotions like love and optimism to cope with adversities and accompanying emotions of fear and anger. Moreover, our analysis reveals that their adaptive resilient capacities gradually strengthened during the nine months of blockade. The study supports the renowned theory of positive emotions using an advanced methodology and a large-scale dataset.
اللغةen
الناشرTaylor & Francis
الموضوعcoping
machine learning
opinion mining
Resilience
sentiment analysis
العنوانPositive sentiments as coping mechanisms and path to resilience: the case of Qatar blockade
النوعArticle
الصفحات1835-1853
رقم العدد13
رقم المجلد24
dc.accessType Abstract Only


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