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3 February, 2021 – New publication: Article by Ákos MĂĄtĂŠ, MiklĂłs Sebők and TamĂĄs Barczikay in PLOS ONE

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3 February, 2021 – New publication: Article by Ákos MĂĄtĂŠ, MiklĂłs Sebők and TamĂĄs Barczikay in PLOS ONE Ákos MĂĄtĂŠ, MiklĂłs Sebők and TamĂĄs Barczikay recently published an article entitled ‘The effect of central bank communication on sovereign bond yields: The case of Hungary’  The open-access article is available here: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0245515 ‘In this article, we investigate how the public communication of the Hungarian Central Bank’s Monetary Council (MC) affects Hungarian sovereign bond yields. This research ties into the advances made in the financial and political economy literature which rely on extensive textual data and quantitative text analysis tools. While prior research demonstrated that forward guidance, in the form of council meeting minutes or press releases can be used as predictors of rate decisions, we are interested in whether they are able to directly influence asset returns as well. In order to capture the effect of central bank communication, we measure the latent hawkish or dovish sentiment of MC press releases from 2005 to 2019 by applying a sentiment dictionary, a staple in the text mining toolkit. Our results show that central bank forward guidance has an intra-year effect on bond yields. However, the hawkish or dovish sentiment of press releases has no impact on maturities of one year or longer where the policy rate proves to be the most important explanatory variable. Our research also contributes to the literature by applying a specialized dictionary to monetary policy as well as broadening the discussion by analyzing a case from the non-eurozone Central-Eastern region of the European Union.’

18 January, 2021 – Call for papers: Analysing Democratic Deconsolidation with Big Data

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18 January, 2021 – Call for papers: Analysing Democratic Deconsolidation with Big Data The new Frontiers Research Topic ’Analysing Legislative Backsliding and Democratic Deconsolidation with Big Data’ welcomes papers from a wide variety of methodologies, particularly those relying on quantitative text analysis, text mining, machine learning, and related Big Data approaches. Submitted papers may include: • Original research articles reporting on primary and unpublished studies for legislative politics in Central- and Eastern Europe; • Review articles covering comparative datasets with comprehensive depth; • Policy and practice reviews of current topics in legislative politics in Central- and Eastern Europe • Articles that focus on methodological innovations and data sources in policy research; • Perspective articles presenting a viewpoint of practitioners working at legislative bodies on data management and presentation Click here for more information.

27 November, 2020 – Successful Proposal: ‘Parlamint’

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27 November, 2020 – Successful proposal: ParlaMint’s ‘Call for New Languages’ POLTEXT’s proposal for ParlaMint’s ‘Call for New Languages’ has been successful and POLTEXT will now have the opportunity to contribute parliamentary corpora to ParlaMint’s (CLARIN) collection. The ParlaMint project – operating within the CLARIN infrastructure – makes accessible national parliamentary data. The availability of comprehensive parliamentary data is crucial, especially in times of global crisis such as the Covid-19 pandemic. ParlaMint’s goal is to provide resources and tools for focused observations on trends, opinions, decisions on lockdowns and restrictive measures as well as on the consequences with respect to health, medical care systems, employment, etc. in times of emergencies.