{"id":678,"date":"2025-08-11T20:55:23","date_gmt":"2025-08-11T20:55:23","guid":{"rendered":"https:\/\/grants.ulbsibiu.ro\/corecon\/?p=678"},"modified":"2025-08-19T21:42:38","modified_gmt":"2025-08-19T21:42:38","slug":"the-corecon-team-at-the-3rd-edition-of-cilidi-in-valencia","status":"publish","type":"post","link":"https:\/\/grants.ulbsibiu.ro\/corecon\/the-corecon-team-at-the-3rd-edition-of-cilidi-in-valencia\/","title":{"rendered":"The CORECON Team at the 3rd Edition of CILIDI in Valencia"},"content":{"rendered":"\n

A part of the CORECON project team participated in the third edition of CILIDI<\/mark><\/em> <\/a>(International Conference on Digital Linguistics<\/em>), held in Valencia on June 26-27, 2025. Aligned with one of the conference\u2019s core themes \u2013 the intersection of technology and discourse analysis \u2013 Simina-Maria Terian, Monica Bor\u0219, Denisa-Maria B\u00e2lc, Iulia-Maria Tic\u0103r\u0103u and David Morariu delivered presentations within a panel focused on media discourse and social representation.<\/p>\n\n\n\n

The panel opened with a presentation titled \u201cLarge Language Models and Political Bias: The Case of the Russian-Ukrainian Conflict\u201d authored by Simina-Maria Terian and David Morariu. The authors explored the concept of bias in large language models (LLMs), focusing in particular on ChatGPT<\/em>, Gemini<\/em> and DeepSeek<\/em>. These models were evaluated using five distinct prompts addressing topics such as responsibility for the war, potential solutions and risks posed to other countries. A key methodological component of the study was a qualitative evaluation conducted by both human assessors and AI, which confirmed earlier research findings regarding ideological antinomies between ChatGPT<\/em> and Gemini<\/em> on one hand, and DeepSeek<\/em> on the other.<\/p>\n\n\n\n

Next, Denisa-Maria B\u00e2lc presented the paper titled \u201cAI-Assisted News Values Analysis: Trivialization, Sensationalism, and Newsworthiness. But Until When?\u201d, which introduced an AI-based approach to identifying and interpreting news values. Her findings highlighted the promising capabilities of AI in conducting qualitative analyses \u2013 both cognitive and linguistic \u2013 of news values. However, the presentation also emphasized the inconsistencies observed in large language models when applied to quantitative analysis.<\/p>\n\n\n\n

The third presentation, with the title \u201cUnconventional Representations of War Actors, Leading Figures and Affected People in the Russian-Ukrainian Conflict: A Corpus Analysis of Non-Human Animals in Romanian and English-Language Media (2022\u20132024)\u201d was delivered by Monica Bor\u0219 and David Morariu. Their study revisited the CORECON corpus through the lens of animal studies and the concept of \u201ccitizenship theory\u201d (Donaldson & Kymlicka, 2011). Specifically, they identified linguistic triggers and discursive strategies that portray animals as war victims, thereby reinforcing a discourse of solidarity and legitimizing Ukrainian resilience against Russia.<\/p>\n\n\n\n

Closing the panel, Iulia-Maria Tic\u0103r\u0103u presented \u201cA Brief Analysis of the Role of Multimodality via AI in the News Coverage of the Russian-Ukrainian Conflict in Romanian Mainstream Media\u201d focusing on the pivotal role of images in journalistic discourse. She examined ChatGPT<\/em>\u2019s interpretations of news related to the Ukraine war under different scenarios: without the news text, with the news text, and by analyzing other images accompanying similar news content. One of her key conclusions highlighted how images reinforce the statements made in the news.<\/p>\n\n\n\n

Audience questions sparked lively discussions, enhancing the project\u2019s visibility and inspiring new research directions connected to the themes explored at the conference.<\/p>\n","protected":false},"excerpt":{"rendered":"

A part of the CORECON project team participated in the third edition of CILIDI (International Conference on Digital Linguistics), held in Valencia on June 26-27, 2025. Aligned with one of the conference\u2019s core themes \u2013 the intersection of technology and discourse analysis \u2013 Simina-Maria Terian, Monica Bor\u0219, Denisa-Maria B\u00e2lc, Iulia-Maria Tic\u0103r\u0103u and David Morariu delivered […]<\/p>\n","protected":false},"author":1,"featured_media":687,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[31],"tags":[40,45],"class_list":["post-678","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-conference","tag-conference","tag-research"],"_links":{"self":[{"href":"https:\/\/grants.ulbsibiu.ro\/corecon\/wp-json\/wp\/v2\/posts\/678","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/grants.ulbsibiu.ro\/corecon\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/grants.ulbsibiu.ro\/corecon\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/grants.ulbsibiu.ro\/corecon\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/grants.ulbsibiu.ro\/corecon\/wp-json\/wp\/v2\/comments?post=678"}],"version-history":[{"count":2,"href":"https:\/\/grants.ulbsibiu.ro\/corecon\/wp-json\/wp\/v2\/posts\/678\/revisions"}],"predecessor-version":[{"id":689,"href":"https:\/\/grants.ulbsibiu.ro\/corecon\/wp-json\/wp\/v2\/posts\/678\/revisions\/689"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/grants.ulbsibiu.ro\/corecon\/wp-json\/wp\/v2\/media\/687"}],"wp:attachment":[{"href":"https:\/\/grants.ulbsibiu.ro\/corecon\/wp-json\/wp\/v2\/media?parent=678"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/grants.ulbsibiu.ro\/corecon\/wp-json\/wp\/v2\/categories?post=678"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/grants.ulbsibiu.ro\/corecon\/wp-json\/wp\/v2\/tags?post=678"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}