id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
spir-14102	Kathirgamalingam, Ahrabhi; Choucair, Tariq dos Santos; Lind, Fabienne; Bernhard, Jana; Boomgaarden, Hajo; Oliveira, Bruna; Maia, Rousiley; Vodden, Laura; Esau, Katharina; Bruns, Axel; Svegaard, Sebastian; Farfan, Kate; Meyer, Hendrik; Puschmann, Cornelius; Brüggemann, Michael; Giglietto, Fabio; Rossi, Luca; Righetti, Nicola; Marino, Giada	TRANSFORMATIVE TOOLS, EMERGING CHALLENGES: EMPIRICAL AND PRACTICAL EXPERIENCES WITH LARGE LANGUAGE MODELS FOR TEXT CLASSIFICATION AND ANNOTATION IN COMMUNICATION STUDIES	2025.0	27	.pdf	application/pdf	8835	492	41	Panel TRANSFORMATIVE TOOLS, EMERGING CHALLENGES: EMPIRICAL AND PRACTICAL EXPERIENCES WITH LARGE LANGUAGE MODELS FOR TEXT CLASSIFICATION AND ANNOTATION IN COMMUNICATION STUDIES Tariq Choucair Queensland University of Technology Ahrabhi Kathirgamalingam University of Vienna Fabienne Lind University of Vienna Jana Bernhard-Harrer University of Vienna Hajo G. Boomgaarden University of Vienna Bruna Silveira de Oliveira Federal University of Minas Gerais Rousiley Maia Federal University of Minas Gerais Sebastian Svegaard Queensland University of Technology Kate O'Connor Farfan Queensland University of Technology Katharina Esau Queensland University of Technology Carly Lubicz-Zaorski Queensland University of Technology Laura Vodden Queensland University of Technology Axel Bruns Queensland University of Technology Hendrik Meyer University of Hamburg Cornelius Puschmann University of Bremen Michael Brüggemann University of Hamburg Fabio Giglietto University of Urbino Luca Rossi IT University of Copenhagen Nicola Righetti University of Urbino Giada Marino University of Urbino Panel Introduction Recent advancements in Large Language Models (LLMs) have opened significant research opportunities within the field of media and communication studies. Fabio Giglietto and colleagues (Paper 5) concludes the panel by reflecting on their investigation of the role of social media, particularly Facebook, in shaping exposure to and engagement with political news during the 2018 and 2022 Italian elections, employing large language models (LLMs) to address key methodological challenges.	cache/spir-14102.pdf	txt/spir-14102.txt