Political discussion and debate in narrative time: the Florentine Consulte e Pratiche, 1376–1378

Padgett, John F.; Prajda, Katalin; Rohr, Benjamin; Schoots, Jonathan

doi:10.1016/j.poetic.2019.101377

Cited by 10 publications

(4 citation statements)

References 9 publications

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“…Notice that our ultimate goal is to identify mental and conceptual associations which are on average most typical for suicide notes. Hence, we do not take a sociological perspective focused on evolution of collective narrative strategies in connection with other social processes 30 , 31 . Instead, we aim at identifying cognitive patterns which are common across different individuals who committed suicide.…”

Section: Introductionmentioning

confidence: 99%

Revealing semantic and emotional structure of suicide notes with cognitive network science

Teixeira

Talaga

Swanson

et al. 2021

Sci Rep

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Understanding how people who commit suicide perceive their cognitive states and emotions represents an important open scientific challenge. We build upon cognitive network science, psycholinguistics and semantic frame theory to introduce a network representation of suicidal ideation as expressed in multiple suicide notes. By reconstructing the knowledge structure of such notes, we reveal interconnections between the ideas and emotional states of people who committed suicide through an analysis of emotional balance motivated by structural balance theory, semantic prominence and emotional profiling. Our results indicate that connections between positively- and negatively-valenced terms give rise to a degree of balance that is significantly higher than in a null model where the affective structure is randomized and in a linguistic baseline model capturing mind-wandering in absence of suicidal ideation. We show that suicide notes are affectively compartmentalized such that positive concepts tend to cluster together and dominate the overall network structure. Notably, this positive clustering diverges from perceptions of self, which are found to be dominated by negative, sad conceptual associations in analyses based on subject-verb-object relationships and emotional profiling. A key positive concept is “love”, which integrates information relating the self to others and is semantically prominent across suicide notes. The emotions constituting the semantic frame of “love” combine joy and trust with anticipation and sadness, which can be linked to psychological theories of meaning-making as well as narrative psychology. Our results open new ways for understanding the structure of genuine suicide notes and may be used to inform future research on suicide prevention.

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Section: Introductionmentioning

confidence: 99%

Revealing semantic and emotional structure of suicide notes with cognitive network science

Teixeira

Talaga

Swanson

et al. 2021

Sci Rep

View full text Add to dashboard Cite

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“…The meaning of a word is a fundamental object of study in computational linguistics, where researchers have in particular focused on the disambiguation and identification of lexical semantic change (e.g., Schlechtweg, Hätty, et al 2019;Tahmasebi, Borin, and Jatowt 2019) and word senses (e.g., Amrami and Goldberg 2019;Başkaya et al 2013;Daille et al 2016). Similarly, changes in meaning structures have been examined in the field of computational sociology (e.g., Kozlowski, Taddy, and Evans 2020;Linzhuo, Lingfei, and James 2020;Padgett et al 2020;Rule, Cointet, and Bearman 2015;Schoots et al 2020), although these latter studies are not based on deep language models and therefore do not take context or polysemy into account.…”

Section: Related Work and Contributionmentioning

confidence: 99%

Text analysis and deep learning: A network approach

Marquart¹

2021

Preprint

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Much information available to applied researchers is contained within written language or spoken text. Deep language models such as BERT have achieved unprecedented success in many applications of computational linguistics. However, much less is known about how these models can be used to analyze existing text. We propose a novel method that combines transformer models with network analysis to form a self-referential representation of language use within a corpus of interest. Our approach produces linguistic relations strongly consistent with the underlying model as well as mathematically well-defined operations on them, while reducing the amount of discretionary choices of representation and distance measures. It represents, to the best of our knowledge, the first unsupervised method to extract semantic networks directly from deep language models. We illustrate our approach in a semantic analysis of the term "founder". Using the entire corpus of Harvard Business Review from 1980 to 2020, we find that ties in our network track the semantics of discourse over time, and across contexts, identifying and relating clusters of semantic and syntactic relations. Finally, we discuss how this method can also complement and inform analyses of the behavior of deep learning models.

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“…What is concerning, however, is that this conversation is not focused on understanding and then practicing religion but on current social, political, and economic issues. Whatever the topic and style of debate, when it comes to religion, it will be a contentious and aggressive discussion (Padgett et al, 2020). Since religious disputes usually lead to violence, intolerance, antagonism, distrust, war, and genocide between nations, it is clear that religion will always be a frightening thing (Nirenberg, 2015).…”

Section: Introductionmentioning

confidence: 99%

Struggling Against Radicalism Through the Sunnah of the Prophet Muhammad SAW.

Mohtarom

2023

J. Multidisiplin Ibrahimy

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Citing a hadith from the Prophet Muhammad SAW, this essay discusses how radicalism is handled in Indonesia as an extremist and terrorist problem. Using the Integrative Review paradigm, it uses a qualitative approach and literature review as its research technique. The Hadith of the Prophet provides two strategies: preventative activity and repressive action. Promoting attitudes of moderation, tolerance, compassion, justice, equality, and prudence while issuing fatwas are examples of preventive efforts. Repressive measures, on the other hand, are meant to deal with hypocrites and Khawarij to preserve the Muslim Ummah's unity and defend the Muslim community's wellbeing per the hadith recorded in Sahih Bukhari and Sahih Muslim.

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Political discussion and debate in narrative time: the Florentine Consulte e Pratiche, 1376–1378

Cited by 10 publications

References 9 publications

Revealing semantic and emotional structure of suicide notes with cognitive network science

Revealing semantic and emotional structure of suicide notes with cognitive network science

Text analysis and deep learning: A network approach

Struggling Against Radicalism Through the Sunnah of the Prophet Muhammad SAW.

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