| Literature DB >> 35967485 |
Dominik Kremer1, Tilo Felgenhauer2.
Abstract
As other crises before, the COVID-19 pandemic put established discursive routines at stake. By framing the pandemic as a crisis, an immediate search for adequate counter-measures started to define proper means of mitigation and protection for the population. In the early stages of COVID-19, when little reliable information on the virus and its transmission behaviour was available, an intense use of metaphor to explain and govern the crisis had to be expected. Beside its well-known impact on (geo-)politics, a thorough analysis especially of the use of spatial metaphors to reason about the crises is still missing. In our approach, we rely on the foundational work of Lakoff and Johnson (1980) on image schemata, and prior work on spatial metaphors as part of argumentation patterns from cultural geography (Schlottmann, 2008). After a thorough analysis of prominent examples according to the argumentation scheme of Toulmin (1976 [1958]), we explored examples from the pre-existing corpus on COVID-19, deliberately compiled by DWDS for analysis of language patterns used throughout the pandemic. In a subsequent filter-refinement approach building on methods from cognitive linguistics and utilising a chunk of the same corpus, we were able to obtain and discuss results on the variety of spatial metaphors used at that time.Entities:
Keywords: Geography; Language and linguistics
Year: 2022 PMID: 35967485 PMCID: PMC9360696 DOI: 10.1057/s41599-022-01264-8
Source DB: PubMed Journal: Humanit Soc Sci Commun ISSN: 2662-9992
Fig. 1Argumentation and reasoning acting as hinge between cognitive linguistics and discourse analysis.
Discourse as socio-linguistic vantage point is not fully compatible with methodology from cognitive linguistics. In adding the layer of pragmatics, reasoning & argumentation that act as hinge, we conceptually overcome this shortage. This figure is covered by the Creative Commons Attribution 4.0 International License. Copyright © the authors of this paper, all rights reserved.
Linguistic perspectives, spatial aspects and COVID-19-references.
| Linguistic analytic dimension | Correspondent social/spatial aspects | Geographical examples | Examples from the COVID-19 discourse |
|---|---|---|---|
| Discourse theory/analysis | Power structures in the genesis of hegemonic discoursive meanings/power-related framing of societal issues | Framing/imagining cultural differences as spatial differences; recurring patterns of geopolitical world views (e.g. “rogue states”; “clash of civilisations”) | Labelling COVID as “China-virus”; establishing frameworks for mapping and surveying the global spread of COVID |
| Pragmatics, reasoning, argumentation | (Spatial) reasoning as social action; interplay of argumentational logics and social rules; interplay of explicit statements and implicit assumptions and inferences | Justification of statements in reference to spatial entities; e.g. acting in response to/in the name of territories | Argumentative use of metaphors and established discourse patterns in political rhetorics: e.g. suggesting the “inevitable” need for spatially defined social restrictions |
| Cognitive linguistics | Metaphors in relation to the human body and its spatiality; e.g. inside-outside-/up-down distinction as basis for human cognition | Container-metaphors implicit to the social construction of national territory | Containment & containerisation in descriptions/definitions of the pandemic |
According to the theoretical framework introduced (see Fig. 1) we provide an overview of correspondent social/spatial aspects, geographical examples and examples from COVID-19 discourse.
Fig. 2General approach of the method applied conducting this study.
The predefined corpus is filter for search terms indicating reference on the COVID-19 pandemic. The resulting collection is mined for the pre-identified language usage patterns indicating use of spatial metaphor. After explorative automated analysis resulting in directed association graphs, interesting sources are interpreted in detail by the introduced scheme derived from Toulmin (1976 [1958]). This figure is covered by the Creative Commons Attribution 4.0 International License. Copyright © the authors of this paper, all rights reserved.
Subcorpora selected for comparative analysis.
| High-quality journalism | Boulevard | Private websites | |
|---|---|---|---|
| Selected subcorpora | • Zeit (4828) • TAZ (28902) • DW (19331) | • Bild (547) • Welt (7741) • NTV (25158) | • Blogs (2466) • Forums (303) |
| #sentences | 53061 | 33446 | 2769 |
For comparison of the amount and quality of metaphors used, we compiled subcorpora for high-quality journalism, boulevard and private websites.
Search patterns derived from pre-study.
| Search pattern | Type of analysis | Condition |
|---|---|---|
| Personification | Structural collocation | Part of speech tag sequence equals <COVID>a+<VVFIN>b+ or <VVFIN>+<COVID>+ |
| Toponym | Named entity recognition | Named entity tag equals ‘LOC’ |
| Spatialisation | Search term list | [‘Grenze’, ‘Region’c] |
| Naturalisation | Search term list | [‘Epizentrum’, ‘Hotspot’, ‘Sturm’, ‘Tsunami’d, ‘Welle’] |
| Analogy | Structural collocation | Part of speech tag sequence equals <COVID>+<$,>?<KOKOM>e?<NE|NN>+ or <NE|NN>+<$,>?<KOKOM>?<COVID>+ |
According to the findings of the pre-study, we operationalised each of the language use patterns by either a list of search terms or a syntactic criterion building on part-of-speech tags.
aOccurrences of the terms ‘Corona’, ‘Virus’, ‘COVID’, ‘Sars-CoV’, ‘Pandemie’, or ‘Epidemie’ were marked by a new artificial part of speech tag ‘
bFinite verb form, cf. TIGER Project (2003).
cDue to a lack of additional information, ‘Region’ was dropped on further exploration.
dDue to a lack of additional information, ‘Tsunami’ was dropped on further exploration.
eComparison particle, cf. TIGER Project (2003).
Fig. 3Example graph yielded by association rule mining.
An example graph visualises the result of the rules extracted by association rule mining on the introduced text fragment. Nodes represent (proper) nouns, edges are annotated with the frequency of the originating node in all sentences containing the target node. This figure is covered by the Creative Commons Attribution 4.0 International License. Copyright © the authors of this paper, all rights reserved.
Fig. 4Detailed semantic context analysis.
Clipped part of a context binding graph in the semantic context of the additional search term ‘breiten’. As introduced above, values assigned to directed edges indicate the strength of contextual linkages, e.g. 5 of the 5 occurrences of ‘Kommission’ share the context with ‘EU’ which binds the first term completely to the scope of the second one on all occurrences in the pre-set context. This figure is covered by the Creative Commons Attribution 4.0 International License. Copyright © the authors of this paper, all rights reserved.
Count of most frequent toponyms.
| High-quality journalism | Boulevard | Private Websites | |
|---|---|---|---|
| Frequent spatial terms | • Land (997) | • Land (708) | • Land (24) • Welt (19) |
| Frequent toponyms | • Deutschland (2639) • China (1598) • Italien (941) • USA (835) • Europa (734) • Berlin (582) • Wuhan (544) | • Deutschland (1672) • China (1458) • USA (817) • Italien (712) • Wuhan (592) • Berlin (502) • Europa (495) | • Deutschland (66) • China (43) • Italien (30) • Europa (22) • USA (17) • Wuhan (16) |
For each of the comparative subcorpora we list the most frequent occurrences of spatial terms and toponyms in the selected sentences.
Fig. 5Detailed semantic context analysis.
Recurring pattern of term binding in the context of ‘Grenze’ (border) and ‘Maßnahmen’ (measures) in boulevard media (clipped graph area). Strong mutual dependencies are observed between occurrences of ‘Krise’ (crisis) and ‘Corona’. ‘Kontrolle’ (control) is an important context marker of ‘Pandemie’ (pandemic). This figure is covered by the Creative Commons Attribution 4.0 International License. Copyright © the authors of this paper, all rights reserved.
Count of most frequent toponyms in the context of ‘Hotspot’.
| High-quality journalism | Boulevard | Private websites | |
|---|---|---|---|
| Frequent spatial terms in the context of ‘Hotspot’ | • Stadt (6) • Gemeinde (4) | • Stadt(gebiet) (13) • Land (5) • Region (3) • Ausland (3) | • Skiregion (1) |
| Frequent toponyms in the context of ‘Hotspot’ | • USA (14) • Heinsberg (9) • Spanien (5) | • Spanien (9) • USA (5) • Mitterteich (4) • Deutschland (4) • New York (4) • Ischgl (3) | • Deutschland (1) |
In comparison to Table 4 we list the most frequent occurrences of spatial terms and toponyms in sentences containing the term ‘Hotspot’.
Count of frequent context terms in the context of ‘Sturm’.
| High-quality journalism | Boulevard | Private websites | |
|---|---|---|---|
| Frequent context terms of ‘Sturm’ | • Noah (2) • Arche (2) • Wunder (2) | • Meerjung- • frauen (2) • Figur (2) | • Ruhe (1) |
We list the most frequent terms co-occurring in the context of ‘Sturm’ on the sentence level.
Metaphors co-occurring with COVID-19 synonyms (selection).
| High-quality journalism | Boulevard | Private Websites | |
|---|---|---|---|
| Nouns which follow comparison particles in collocation with COVID-19 | • Heraus-forderung (4) • Brandbe-schleuniger (3) • Bedrohung (2) • Lauffeuer (1) | • Brandbe-schleuniger (4) • Damokles-Schwert (2) • Angreifer (2) | • Corona-Bond-Muezzins (1) • Herausforderung (1) |
We list selected metaphors co-occurring in the context of COVID-19 synonyms on the sentence level.