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Lisa Teichmann

Biographic Data

ID9080613
NAMELisa Teichmann
GIVEN NAMESLisa
FAMILY NAMETeichmann
SIGNATURETEICHMANN L
AFFILIATIONSMcGill University
ORCID0000-0001-8673-3480
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Translationalism and the gender gap in the German National Library

    Open Access•Lisa Teichmann•ARTICLE•Feminist Translation Studies•2025

    The project ‘Mapping German Fiction in Translation in the German National Library (DNB), 1980–2020’ revealed a pronounced gender disparity: of the 20 most frequently translated authors in the DNB, only two are women (Herta Müller and Elfriede Jelinek), and works by authors identified as ‘female’ in the catalogue represent just 20% of all translations. This article aims to highlight this imbalance and to identify women writers who play significant…

  • The “Mapping German fiction in translation” dataset

    Open Access•Lisa Teichmann•ARTICLE•Journal of Cultural Analytics•2025

    The “Mapping German fiction in translation” dataset consists of 35,972 translated titles of fiction originally published in German between 1980-2020 by 6,457 authors in 86 languages. It represents the first freely available dataset of bibliographic translation data extracted from the German National Library in 2021 and 2023. The dataset is part of a project that aims at mapping the geographic and linguistic traces of German fiction by means of tr…

  • The causes and consequences of Covid-19 misperceptions

    Open Access•Aengus Bridgman, Eric Merkley et al.•ARTICLE•Harvard Kennedy School…•2020

    We investigate the relationship between media consumption, misinformation, and important attitudes and behaviours during the coronavirus disease 2019 (COVID-19) pandemic. We find that comparatively more misinformation circulates on Twitter, while news media tends to reinforce public health recommendations like social distancing. We find that exposure to social media is associated with misperceptions regarding basic facts about COVID-19

No prominent works on this page.

  • The causes and consequences of Covid-19 misperceptions

    Open Access•Aengus Bridgman, Eric Merkley et al.•ARTICLE•Harvard Kennedy School…•2020

    We investigate the relationship between media consumption, misinformation, and important attitudes and behaviours during the coronavirus disease 2019 (COVID-19) pandemic. We find that comparatively more misinformation circulates on Twitter, while news media tends to reinforce public health recommendations like social distancing. We find that exposure to social media is associated with misperceptions regarding basic facts about COVID-19

  • Translationalism and the gender gap in the German National Library

    Open Access•Lisa Teichmann•ARTICLE•Feminist Translation Studies•2025

    The project ‘Mapping German Fiction in Translation in the German National Library (DNB), 1980–2020’ revealed a pronounced gender disparity: of the 20 most frequently translated authors in the DNB, only two are women (Herta Müller and Elfriede Jelinek), and works by authors identified as ‘female’ in the catalogue represent just 20% of all translations. This article aims to highlight this imbalance and to identify women writers who play significant…

  • The “Mapping German fiction in translation” dataset

    Open Access•Lisa Teichmann•ARTICLE•Journal of Cultural Analytics•2025

    The “Mapping German fiction in translation” dataset consists of 35,972 translated titles of fiction originally published in German between 1980-2020 by 6,457 authors in 86 languages. It represents the first freely available dataset of bibliographic translation data extracted from the German National Library in 2021 and 2023. The dataset is part of a project that aims at mapping the geographic and linguistic traces of German fiction by means of tr…

German (2 works) · Translation Studies and Practices (2 works) · 2019-20 coronavirus outbreak (1 work) · Advertising (1 work) · Authorship Attribution and Profiling (1 work) · Business (1 work) · Computer Science (1 work) · Coronavirus (1 work) · Data collection (1 work) · Data quality (1 work)

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