2020
DOI: 10.1007/978-981-15-7345-3_23
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Value-Based Behavioral Analysis of Users Using Twitter

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Cited by 5 publications
(4 citation statements)
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References 25 publications
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“…It would be easy to dismiss such expressions as examples of teenage hyperbole or fairly common online rhetoric—only with hindsight are they read as serious indicators of violent intent (Schildkraut et al, 2022). However, research has shown that the words people use can be used as indicators of their underlying psychological state (Tausczik & Pennebaker, 2010), and social media posts have been used to diagnose individual personalities (Azucar et al, 2018; Park et al, 2015), personal beliefs, opinions, and values (Kakar et al, 2021), even mental illness (Edwards & Holtzman, 2017).…”
Section: Mass Shootings and Social Mediamentioning
confidence: 99%
“…It would be easy to dismiss such expressions as examples of teenage hyperbole or fairly common online rhetoric—only with hindsight are they read as serious indicators of violent intent (Schildkraut et al, 2022). However, research has shown that the words people use can be used as indicators of their underlying psychological state (Tausczik & Pennebaker, 2010), and social media posts have been used to diagnose individual personalities (Azucar et al, 2018; Park et al, 2015), personal beliefs, opinions, and values (Kakar et al, 2021), even mental illness (Edwards & Holtzman, 2017).…”
Section: Mass Shootings and Social Mediamentioning
confidence: 99%
“…Hence, our work attempts to use value systems to explore the impact on retweet decisions of the user comparing them with previous state of art models used viz, emotions, sentiments, topic-specific emotions. For our work, we will be using the valueDict lexicon [20] for labeling value systems in the content written by users as it is one of the first lexicons to be proposed for the purpose of labeling value systems. This lexicon contains words associated with each of the value system categories.…”
Section: Related Workmentioning
confidence: 99%
“…Hence, our work uses content of the tweet to determine the value system of the user. We use the valueDict lexicon for labeling the users with their value system [20]. The authors in this study proposed this lexicon which contains words relative to each of the value system categories.…”
Section: Value Systemsmentioning
confidence: 99%
“…Целью работы стало изучение известных систем ценностей, которыми обладает большинство людей в анализируемых регионах (Дели/Вашингтон). Так, с помощью лексикологического метода (value-based lexicon method), основанного на ценностях, авторы создали словарь для определения поведения пользователей с точки зрения их систем ценностей [24].…”
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