Doublespeak? Sustainability in the Arctic—A Text Mining Analysis of Norwegian Parliamentary Speeches

Moilanen, Mikko; Østbye, Stein

doi:10.3390/su13169397

Cited by 6 publications

(1 citation statement)

References 29 publications

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“…STM has gained widespread recognition among political science scholars. For instance, a study on Arctic sustainability employs an STM to analyze parliamentary speeches in Norway between 2009 and 2016 (Moilanen and Østbye 2021). The analysis reveals that political alliances use doublespeak, which affects policymaking decisions related to sustainability.…”

Section: Stmmentioning

confidence: 99%

Quantifying the Activities of Local Assembly Members in Japan: Recent Advances and an Approach Using the BERTopic Model

LI,

KAWAMURA,

KIMURA

2024

IIS

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In Japan, the activities of local assembly members in prefectural assembly sessions are crucial within the framework of representative democracy. This study provides a comprehensive review of existing research that quantifies the activities of local assembly members through topic modeling. Furthermore, the BERTopic model was implemented to perform semantic clustering and topic labeling by combining bidirectional encoder representations from transformer (BERT) embeddings and clustering algorithms. The researchers used a dataset of local assembly minutes transformed into a machine-readable format and selected a subset of general questions (159 general questions from 32 members between 2011 and 2015, and 122 general questions from 23 members between 2016 and 2020) in Fukushima Prefecture. The results demonstrate that BERTopic exhibits robust semantic representation and visualization capabilities, thereby improving the understanding of relationships among the main topics. Compared to the Latent Dirichlet Allocation (LDA) and the Structural Topic Model (STM), BERTopic outperformed in terms of identifying subtle topics and yielded a higher topic coherence score, indicating more meaningful and consistent thematic extraction. Furthermore, this research contributes to documenting the recovery process in disaster-affected prefectures after the Great East Japan Earthquake and provides reference material for recovery efforts.

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Section: Stmmentioning

confidence: 99%

Quantifying the Activities of Local Assembly Members in Japan: Recent Advances and an Approach Using the BERTopic Model

LI,

KAWAMURA,

KIMURA

2024

IIS

View full text Add to dashboard Cite

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Stop the War, for Godsake!: A Text Analysis of Speeches of Volodymyr Oleksandrovych Zelenskyy, the Ukrainian President

Polo

Saxena

Alexopoulos

2023

International Journal of Public Administration

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Examining the structure of MPs in the UK-China relationship using speech-word pair bipartite networks

Hu,

Yang,

Wang

et al. 2024

AJIM

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PurposeThis study proposes a novel method utilising a speech-word pair bipartite network to examine the correlation structure between members of parliament (MPs) in the context of the UK- China relationship.Design/methodology/approachWe construct MP-word pair bipartite networks based on the co-occurrence relationship between MPs and words in their speech content. These networks are then mapped into monopartite MPs correlation networks. Additionally, the study calculates correlation network indicators and identifies MP communities and factions to determine the characteristics of MPs and their interrelation in the UK-China relationship. This includes insights into the distribution of key MPs, their correlation structure and the evolution and development trends of MP factions.FindingsAnalysis of the parliamentary speeches on China-related affairs in the British Parliament from 2011 to 2020 reveals that the distribution and interrelationship of MPs engaged in UK-China affairs are centralised and discrete, with a few core MPs playing an integral role in the UK-China relationship. Among them, MPs such as Lord Ahmad of Wimbledon, David Cameron, Lord Hunt of Chesterton and Lord Howell of Guildford formed factions with significant differences; however, the continuity of their evolution exhibits unstableness. The core MP factions, such as those led by Lord Ahmad of Wimbledon and David Cameron, have achieved a level of maturity and exert significant influence.Research limitations/implicationsThe research has several limitations that warrant acknowledgement. First, we mapped the MP-word pair bipartite network into the MP correlation network for analysis without directly analysing the structure of MPs based on the bipartite network. In future studies, we aim to explore various types of analysis based on the proposed bipartite networks to provide more comprehensive and accurate references for studying UK-China relations. In addition, we seek to incorporate semantic-level analyses, such as sentiment analysis of MPs, into the MP-word -pair bipartite networks for in-depth analysis. Second, the interpretations of MP structures in the UK-China relationship in this study are limited. Consequently, expertise in UK-China relations should be incorporated to enhance the study and provide more practical recommendations.Practical implicationsFirstly, the findings can contribute to an objective understanding of the characteristics and connotations of UK-China relations, thereby informing adjustments of focus accordingly. The identification of the main factions in the UK-China relationship emphasises the imperative for governments to pay greater attention to these MPs’ speeches and social relationships. Secondly, examining the evolution and development of MP factions aids in identifying a country’s diplomatic focus during different periods. This can assist governments in responding promptly to relevant issues and contribute to the formulation of effective foreign policies.Social implicationsFirst, this study expands the research methodology of parliamentary debates analysis in previous studies. To the best of our knowledge, we are the first to study the UK-China relationship through the MP-word-pair bipartite network. This outcome inspires future researchers to apply various knowledge networks in the LIS field to elucidate deeper characteristics and connotations of UK-China relations. Second, this study provides a novel perspective for UK-China relationship analysis, which deepens the research object from keywords to MPs. This finding may offer important implications for researchers to further study the role of MPs in the UK-China relationship.Originality/valueThis study proposes a novel scheme for analysing the correlation structure between MPs based on bipartite networks. This approach offers insights into the development and evolving dynamics of MPs.

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Doublespeak? Sustainability in the Arctic—A Text Mining Analysis of Norwegian Parliamentary Speeches

Cited by 6 publications

References 29 publications

Quantifying the Activities of Local Assembly Members in Japan: Recent Advances and an Approach Using the BERTopic Model

Quantifying the Activities of Local Assembly Members in Japan: Recent Advances and an Approach Using the BERTopic Model

Stop the War, for Godsake!: A Text Analysis of Speeches of Volodymyr Oleksandrovych Zelenskyy, the Ukrainian President

Examining the structure of MPs in the UK-China relationship using speech-word pair bipartite networks

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