Social networks have become essential means of communication and have modified the concept of political communication, allowing new audiences to continuously track both candidates and parties during different election processes. This paper presents a systematized study of the communication that took place in social media during the first round of the 2022 Costa Rican electoral process (February 6th). The information has been collected from the data available at the Digital Media Communication Observatory of the Universidad Latina de Costa Rica, using the social listening tools Minerva Data, Kantar IBOPE Media’s Adspend and Mention, with the objective of revealing the digital conversation trends in this campaign, an unprecedented electoral process with 25 presidential candidates. The reports from the Digital Communication Observatory show the evolution of the electorate's behavior in te...

Purpose. This study investigates whether evaluation using artificial intelligence (AI) with a customized GPT model can be comparable to, or complementary to, human evaluation in graphic design projects created by master's degree students. Methodology. A total of 180 logos were evaluated over six years using a 10-item Likert scale rubric. Each project received a double assessment, one by human experts and one by AI. Results and Conclusions. The results show agreement in five categories between human evaluators and AI (e.g., originality, relevance) while, in another five categories (e.g., balance, design principles), AI tended to overvalue the works when compared to human assessment. The qualitative analysis of the AI’s feedback identified strengths, but also limitations. In conclusion, a hybrid human-AI evaluation could improve fairness and efficiency in creativity grading, although AI ...