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Benchmarking AI and human text classifications in the context of newspaper frames: A multi-label LLM classification approach
7 references·0 citing·31 second hop
Benchmarking AI and human text classifications in the context of newspaper frames: A multi-label LLM classification approach (2025)Benchmarking AI and human text classifica…Synthetic Replacements for Human Survey Data? The Perils of Large Language Models (2024)Synthetic Replacements for Hu…Why open-source generative AI models are an ethical way forward for science (2023)Why open-source generative AI…Automated Annotation with Generative AI Requires Validation (2023)Automated Annotation with Gen…Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics (2023)Aion Framework: Dimensional E…Computational Identification of Media Frames: Strengths, Weaknesses, and Opportunities (2020)Computational Identification …The Media Frames Corpus: Annotations of Frames Across Issues (2015)The Media Frames Corpus: Anno…Framing Theory (2007)Framing TheoryContent Analysis: An Introduction to its Methodology. (1984)Framing: Toward Clarification of a Fractured Paradigm (1993)Inter-Coder Agreement for Computational Linguistics (2008)Machine Learning and Grounded Theory Method (2016)Toward human-centered algorithm design (2017)Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies (2018)Choices, values, and frames. (1984)Is Anyone Responsible? (1991)Climate change in news media across the globe: An automated analysis of issue attention and themes in climate change coverage in 10 countries (2006–2018) (2021)How did we get here? A framing and source analysis of early COVID-19 media coverage (2021)War on frames: Text mining of conflict in Russian and Ukrainian news agency coverage on Telegram during the Russian invasion of Ukraine in 2022 (2023)Understanding Attitudes and Predicting Social Behavior (1980)Media Discourse and Public Opinion on Nuclear Power: A Constructionist Approach (1989)Framing Public Opinion in Competitive Democracies (2007)The Generalizability of Survey Experiments (2015)Durably reducing transphobia: A field experiment on door-to-door canvassing (2016)The Statistical Crisis in Science (2014)Artificial Intelligence and Democracy: A Conceptual Framework (2023)ChatGPT outperforms crowd workers for text-annotation tasks (2023)Large Language Models as Simulated Economic Agents: What Can We Learn from Homo Silicus? (2023)Using LLMs for Market Research (2023)Can Generative AI improve social science? (2024)ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing (2023)ChatGPT: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope (2023)Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)Durably reducing conspiracy beliefs through dialogues with AI (2024)Rethinking open source generative AI: open washing and the EU AI Act (2024)The dangers of using proprietary LLMs for research (2024)ChatGPT for Text Annotation? Mind the Hype! (2023)Exploring the applicability of large language models to citation context analysis (2024)Validating the use of large language models for psychological text classification (2025)
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References

  • 2023Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics13,695 cited
  • 2007Framing Theory3,065 cited
  • 2015The Media Frames Corpus: Annotations of Frames Across Issues224 cited
  • 2024Synthetic Replacements for Human Survey Data? The Perils of Large Language Models205 cited
  • 2023Why open-source generative AI models are an ethical way forward for science104 cited
  • 2020Computational Identification of Media Frames: Strengths, Weaknesses, and Opportunities86 cited
  • 2023Automated Annotation with Generative AI Requires Validation47 cited

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