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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Human Language, Rights, and Security</journal-id><journal-title-group><journal-title xml:lang="en">Human Language, Rights, and Security</journal-title><trans-title-group xml:lang="ru"><trans-title>Human Language, Rights, and Security</trans-title></trans-title-group></journal-title-group><issn publication-format="electronic">2713-0614</issn><publisher><publisher-name xml:lang="en">Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">27010</article-id><article-id pub-id-type="doi">10.22363/2713-0614-2021-1-1-26-48</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>RESEARCH IN LANGUAGE</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Исследования языка</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Registering the Impact of Words in Spoken Political and Journalistic Texts</article-title><trans-title-group xml:lang="ru"><trans-title>Registering the Impact of Words in Spoken Political and Journalistic Texts</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5191-3246</contrib-id><name><surname>Alexandris</surname><given-names>Christina K.</given-names></name><bio xml:lang="en"><p>Associate Professor in Computational Linguistics and German Linguistics at the National and Kapodistrian University of Athens, Greece. Head of the Journalism Computational Linguistics Laboratory (JCL Lab) at the National Technical University of Athens, collaborated with the Universal Networking Language (UNL) Project of the United Nations, United Nations Research Center, Tokyo, Japan (2010-2015); member of the American Association for the Advancement of Artificial Intelligence (AAAI) since 2015</p></bio><email>calexandris@gs.uoa.gr</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">National and Kapodistrian University of Athens</institution></aff><aff><institution xml:lang="ru"></institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2021-12-15" publication-format="electronic"><day>15</day><month>12</month><year>2021</year></pub-date><volume>1</volume><issue>1</issue><issue-title xml:lang="en">VOL 1, NO1 (2021)</issue-title><issue-title xml:lang="ru">ТОМ 1, №1 (2021)</issue-title><fpage>26</fpage><lpage>48</lpage><history><date date-type="received" iso-8601-date="2021-07-10"><day>10</day><month>07</month><year>2021</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2021, Alexandris C.K.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2021, Alexandris C.K.</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="en">Alexandris C.K.</copyright-holder><copyright-holder xml:lang="ru">Alexandris C.K.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://hlrsjournal.ru/HLRS/article/view/27010">https://hlrsjournal.ru/HLRS/article/view/27010</self-uri><abstract xml:lang="en"><p style="text-align: justify;">Words in spoken political and journalistic texts may inspire, infuriate or even become mottos. Often, the entire spoken interaction may be forgotten, yet individual words may remain associated with the Speaker and/or the group represented by the Speaker or even the individual word or words themselves obtain a dynamic of their own, outshining the original Speaker. In the current-state-of affairs, connected with the impact of international news networks and social media, the impact of words in spoken political and journalistic texts is directly linked to its impact to a diverse international audience. The impact or controversy of a word and related topic may be registered by the reaction it generates. Special focus is placed in the registration and evaluation of words and their related topics in spoken political and journalistic discussions and interviews. Although as text types, spoken political and journalistic texts pose challenges for their evaluation, processing and translation, the presented approaches allow the registration of complex and implied information, indications of Speaker’s attitude and intentions and can contribute to evaluating the behaviour of Speakers-Participants. This registration also allows the identification of words generating positive, negative or diverse reactions, their relation to Cognitive Bias and their impact to a national and international audience within a context of international news networks and social media.</p></abstract><trans-abstract xml:lang="ru">Words in spoken political and journalistic texts may inspire, infuriate or even become mottos. Often, the entire spoken interaction may be forgotten, yet individual words may remain associated with the Speaker and/or the group represented by the Speaker or even the individual word or words themselves obtain a dynamic of their own, outshining the original Speaker. In the current-state-of affairs, connected with the impact of international news networks and social media, the impact of words in spoken political and journalistic texts is directly linked to its impact to a diverse international audience. The impact or controversy of a word and related topic may be registered by the reaction it generates. Special focus is placed in the registration and evaluation of words and their related topics in spoken political and journalistic discussions and interviews. Although as text types, spoken political and journalistic texts pose challenges for their evaluation, processing and translation, the presented approaches allow the registration of complex and implied information, indications of Speaker’s attitude and intentions and can contribute to evaluating the behaviour of Speakers-Participants. This registration also allows the identification of words generating positive, negative or diverse reactions, their relation to Cognitive Bias and their impact to a national and international audience within a context of international news networks and social media.</trans-abstract><kwd-group xml:lang="en"><kwd>cognitive bias</kwd><kwd>associations</kwd><kwd>implied information</kwd><kwd>paralinguistic features</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Alexandris, Ch. (2020). 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