/categories/conference/ Recent content in conference on Hugo Apéro Hugo -- gohugo.io en Tue, 24 Jun 2025 00:00:00 +0000 /talk/liverpool25/ Tue, 24 Jun 2025 00:00:00 +0000 /talk/liverpool25/ The Presentation: /talk/comptext25/ Thu, 24 Apr 2025 00:00:00 +0000 /talk/comptext25/ Abstract: Large language models (LLMs) are widely used as research tools, but their highresource demands raise significant environmental concerns. While LLMs offer advan-tages in certain applications, their high energy demands prompt a necessary questionfor social scientists: Is it worth considering LLMs for every text analysis task? Thisstudy systematically evaluates the trade-off between performance and energy usageacross computational text analysis methods, including dictionaries, trained classifiers,and open “local” LLMs. Applying sentiment analysis, multi-class classification, andnamed entity recognition to political documents, we measure energy consumption,CO2emissions, correlation with human raters, F1-Score and processing time. /talk/bremen24/ Wed, 20 Nov 2024 00:00:00 +0000 /talk/bremen24/ Abstract: The integration of Artificial Intelligence (AI) into visual communication, particularly within climate change debates, shows a key change in how public discourse is influenced by media (Chian & Lee, 2023; Krishnan et al., 2023). Simultaneously, manipulated images pose a misinformation risk when viewers cannot determine the credibility of what they see (He, 2021). We focus on the polarized topic of climate change to explore how manipulated images shared on Twitter may contribute to polarizing debates between believers and sceptics (deniers) in anthropogenic climate change. /talk/exeter24/ Wed, 26 Jun 2024 00:00:00 +0000 /talk/exeter24/ Summary: The Centre for Climate Communication and Data Science (C3DS) hosted a seminar on June 26th, 2024, featuring Isaac Bravo from the Technical University of Munich, Germany. Bravo presented his research on the “Visual Framing of Climate Change Imagery on Twitter.” The hybrid seminar was held both in person at the University of Exeter’s Streatham Campus and online via Zoom. Bravo’s research delves into how the framing of climate change imagery on social media platforms like Twitter influences people’s emotional engagement with the issue. /talk/campfire/ Thu, 06 Jun 2024 00:00:00 +0000 /talk/campfire/ Abstract: The emergence of Artificial Intelligence (AI) models is reshaping how scientists interact with this technology when conducting research. This has led to a growing interest in the role and impact of AI in the field of scientific communication over the last few years (Schäfer, 2023). The benefits of this technology that we can find as researchers are varied (Chian & Lee, 2023; Krishnan et al., 2023). Simultaneously, manipulated images pose a misinformation risk when viewers cannot determine the credibility of what they see (He, 2021). /talk/comptext24/ Thu, 02 May 2024 00:00:00 +0000 /talk/comptext24/ Abstract: This study explores the effects of manipulated visual content on polarized climate change debates on Twitter by answering the following research question: Do ‘real’ vs manipulated images about climate change on Twitter lead to different levels of engagement and interactions between believers and skeptics (deniers)? In this research, we analyse the intersection of social science and computer science in the context of climate change discourse on Twitter by adopting a multimodal and computational approach combining automated image and text analysis to examine more than 700,000 images, and replies shared by Twitter users in the year 2019. /talk/wapor2023/ Tue, 19 Sep 2023 00:00:00 +0000 /talk/wapor2023/ Abstract: Climate change is a global phenomenon with multidimensional and widespread consequences, which has received considerable media attention in recent decades. Climate change is considered one of the most important challenges faced by the world not only in the present but also in the future. Both scientific and political communities have recognized the urgency of addressing the impacts of this phenomenon, and understanding how people perceive and engage with it.