Dataset of Jaccard similarity indices from 1,597 European political manifestos across 27 countries (1945–2017)

Sanger, William; Warin, Thierry

doi:10.1016/j.dib.2019.103907

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…To test the second hypothesis, hence the congruence of statements, following Niwattanakul et al (2013) and Sanger and Warin (2019), I used the Jaccard Coefficient, which is defined by: with E = statements in the European manifesto and N = statements in the national manifesto. Moreover, it pertains that J ∈ [0, 1] , where 0 means no and 1 total…”

Section: The Maximalist Model: Federal Democracy (Downloading)mentioning

confidence: 99%

Congruence of national and Europarty manifestoes in the EU elections 2019

Hackemann

2022

Comp Eur Polit

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This paper seeks to answer the question how congruent the policy positions of the four main Europarties were compared with their respective national member parties, as well as how they influenced each other in the drafting process, using the comparative example of German parties in the EU election 2019. It finds that the programmatic congruence of Euro- and their German member parties is small, with only insignificant coherences in issue salience and policy prioritization. In fact, some parties are even revealed to have higher programmatic congruence with other German parties than with their own Europarty. Nevertheless, cases of up- and downloading of policy positions as well as general political reconciliation processes are reported for all parties.

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Section: The Maximalist Model: Federal Democracy (Downloading)mentioning

confidence: 99%

Congruence of national and Europarty manifestoes in the EU elections 2019

Hackemann

2022

Comp Eur Polit

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Risk communication and large language models

Sledge,

Thomas

2024

Risk Hazard & Crisis Pub Pol

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The widespread embrace of Large Language Models (LLMs) integrated with chatbot interfaces, such as ChatGPT, represents a potentially critical moment in the development of risk communication and management. In this article, we consider the implications of the current wave of LLM‐based chat programs for risk communication. We examine ChatGPT‐generated responses to 24 different hazard situations. We compare these responses to guidelines published for public consumption on the US Department of Homeland Security's Ready.gov website. We find that, although ChatGPT did not generate false or misleading responses, ChatGPT responses were typically less than optimal in terms of their similarity to guidances from the federal government. While delivered in an authoritative tone, these responses at times omitted important information and contained points of emphasis that were substantially different than those from Ready.gov. Moving forward, it is critical that researchers and public officials both seek to harness the power of LLMs to inform the public and acknowledge the challenges represented by a potential shift in information flows away from public officials and experts and towards individuals.

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Are many sets of eyes better than one? Evaluating multiple databases of armed actors in Colombia

Osorio

2023

International Interactions

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Dataset of Jaccard similarity indices from 1,597 European political manifestos across 27 countries (1945–2017)

Cited by 4 publications

References 5 publications

Congruence of national and Europarty manifestoes in the EU elections 2019

Congruence of national and Europarty manifestoes in the EU elections 2019

Risk communication and large language models

Are many sets of eyes better than one? Evaluating multiple databases of armed actors in Colombia

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