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ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1388. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project.

ParlaMint is a multilingual set of comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after October 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1405.

ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (after November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the ParlaMint TEI-encoded corpora with the derived plain text version of the corpus along with TSV metadata on the speeches. Also included is the 2.0 release of the data and scripts available at the GitHub repository of the ParlaMint project. Note that there also exists the linguistically marked-up version of the corpus, which is available at http://hdl.handle.net/11356/1431.

ParlaMint 2.1 is a multilingual set of 17 comparable corpora containing parliamentary debates mostly starting in 2015 and extending to mid-2020, with each corpus being about 20 million words in size. The sessions in the corpora are marked as belonging to the COVID-19 period (from November 1st 2019), or being "reference" (before that date). The corpora have extensive metadata, including aspects of the parliament; the speakers (name, gender, MP status, party affiliation, party coalition/opposition); are structured into time-stamped terms, sessions and meetings; with speeches being marked by the speaker and their role (e.g. chair, regular speaker). The speeches also contain marked-up transcriber comments, such as gaps in the transcription, interruptions, applause, etc. Note that some corpora have further information, e.g. the year of birth of the speakers, links to their Wikipedia articles, their membership in various committees, etc. The corpora are encoded according to the Parla-CLARIN TEI recommendation (https://clarin-eric.github.io/parla-clarin/), but have been validated against the compatible, but much stricter ParlaMint schemas. This entry contains the linguistically marked-up version of the corpus, while the text version is available at http://hdl.handle.net/11356/1432. The ParlaMint.ana linguistic annotation includes tokenization, sentence segmentation, lemmatisation, Universal Dependencies part-of-speech, morphological features, and syntactic dependencies, and the 4-class CoNLL-2003 named entities. Some corpora also have further linguistic annotations, such as PoS tagging or named entities according to language-specific schemes, with their corpus TEI headers giving further details on the annotation vocabularies and tools. The compressed files include the ParlaMint.ana XML TEI-encoded linguistically annotated corpus; the derived corpus in CoNLL-U with TSV speech metadata; and the vertical files (with registry file), suitable for use with CQP-based concordancers, such as CWB, noSketch Engine or KonText. Also included is the 2.1 release of the data and scripts available at the GitHub repository of the ParlaMint project. As opposed to the previous version 2.0, this version corrects some errors in various corpora and adds the information on upper / lower house for bicameral parliaments. The vertical files have also been changed to make them easier to use in the concordancers.

Russisk påvirkning av presidentvalget i 2016 har skapt frykt for manipulasjon av valg i Vesten. Både EU og USA forventer at trusselen vedvarer, og at nye metoder og kapasiteter utvikles. Artikkelen beskriver hva valgpåvirkning er, og hvordan slik påvirkning gjennomføres. Den gjør en systematisk gjennomgang av litteratur om beskyttelse av valg, og funnene sammenfattes i seks temaer med til sammen 38 mulige tiltak for å hindre valgpåvirkning: 1) bevisstgjøring; 2) forebygging; 3) samarbeide og koordinering; 4) beskyttende tiltak; 5) aktive mottiltak og avskrekking; 6) forskning, læring og kompetansebygging. Alle tiltak krever nøye vurdering av økonomiske, politiske, juridiske, praktiske og andre implikasjoner, samt særlig forholdet til demokrati og ytringsfrihet. Avslutningsvis påpekes fire problemstillinger som særlig aktuelle for videre vurdering: 1) bevisstgjøring via medier, samt målrettet mot partier og valgorganisasjon; 2) en helhetlig gjennomgang av trusler, sårbarhet og beskyttelsestiltak, særlig datasikkerhet; 3) forskning og utvikling; 4) avskrekking og eksponering av påvirkning. Mange tiltak er inngripende, særlig i forhold til demokrati, ytringsfrihet, sensur og selvsensur, og de viktigste utfordringer, begrensninger og kritikk mot restriktive tiltak gjennomgås. Vi må unngå at tiltak for å beskytte demokratiet i seg selv undergraver demokratiet.
Abstract in English:How Can Elections Be Protected Against Foreign Interference?Russian interference in the 2016 US presidential election have caused fear for manipulation of elections in the West. Both the EU and the US see this as a persistent threat and expect new methods and capabilities to emerge. This article describes election interference and how it has been conducted. It reviews literature about protection of elections, and summarises the findings in six themes with a total of 38 possible measures: 1) awareness, 2) prevention, 3) cooperation and coordination, 4) protective measures, 5) active countermeasures and deterrence, 6) research and competence building. All measures require careful consideration of economic, political, legal, practical and other implications, and especially consequences for democracy and freedom of speech. Finally, four issues are proposed as particularly relevant for further consideration: 1) awareness through media, and also especially targeted at political parties and the election organisation, 2) a comprehensive assessment of threats, vulnerabilities and protective measures, especially in terms of data protection, 3) research and development, 4) deterrence and exposure of interference. Many of the measures are far-reaching when it comes to democracy, freedom of speech, censorship and self-censorship, and the article reviews challenges, limitations and critique of such restrictive measures. It is essential that measures to protect democracy in themselves do not undermine democracy.

Hvordan håndterer Norge sin militæraktivisme og sitt NATO-medlemskap når landet vil presentere seg selv som en fredsnasjon? Problemstillingen ble aktuell i det norske utenriksdepartementets nylige kampanje for å få Norge valgt inn i FNs sikkerhetsråd, hvor ideen om Norge som fredsnasjon stod sentralt. I denne artikkelen bruker vi nasjonsbranding som et analytisk rammeverk for å forstå hvordan Norge bygget opp sin kampanje som fredsnasjon og håndterte det konkurrerende narrativet om sin rolle i krig. Som et sekundærfokus ser vi også på hvordan Norges to konkurrenter, Irland og Canada, fremstilte seg på disse to dimensjonene – som er av særinteresse da Irland ikke er NATO-medlem. For å utforske disse spørsmålene analyserer vi taler og tekster fra det norske diplomatiet og regjeringen vedrørende kampanjen, samt ser på kampanjematerialet til de tre landene. Gitt at de tre landenes profil er påfallende lik, fant vi at alle måtte forsøke å finne en måte å brande seg på som uttrykket ens særtrekk og høynet ens relevans i sammenligning med de to andre landene. I analysen av Norge ser vi at militæraktivisme stadig ble hvisket ut i løpet av den norske kampanjen og at andre tematikker ble brukt i brandingen – som for eksempel likestilling og bidrag til internasjonal utvikling. Dette skulle dermed skulle legitimere ideen om fredsnasjonen Norge, et land som alle andre kan stole på.
Abstract in English:Military Activism Branded as Peace Activism? Norway's Campaign for a Seat on the UN Security CouncilIn seeking to present itself as a peace nation, how has Norway sought to address its military activism and NATO membership? This tension was apparent in Norway's recent campaign for a seat on the UN Security Council, where the idea of the country as a peace nation stood central. Using nation branding as an analytical framework, we ask how Norway built and sustained this peace narrative and managed the competing narrative of its role in controversial armed conflicts. As a secondary focus, we ask how Norway's two competitors, Ireland and Canada, presented themselves on these two axes of peace and military activism. Ireland posed a particular threat as it is not a NATO member. To explore these questions, we analyse speeches and texts from Norwegian officials regarding the campaign and examine the official campaign material from all three countries. Given that the image of all three countries was generally similar, we find that each country sought to find unique ways to brand themselves as well as countering the few specific advantages of the others. In the case of Norway, we find that during the campaign the country's military activism was downplayed and other themes were foregrounded in the branding, such as gender equality and international development cooperation. This would legitimate the idea of Norway as a peace nation, a reliable partner that all states could trust.