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This paper proposes temporally aligned Large Language Models (LLMs) as a tool for longitudinal analysis of social media data.
Are there basic emotions?
Ekman, P. 1992 · 1992
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The PANAS-X: Manual for the Positive and Negative Affect Schedule - Expanded Form
Clark, L. A.; and Watson, D. 1994 · 1994
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A Theoretical Note on the Differences Between Attitudes, Opinions, and Values
Bergman, M. M. 1998 · 1998
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Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures
Golder, S. A.; and Macy, M. W. 2011 · 2011
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A Meta-Analysis of State-of-the-Art Electoral Prediction From Twitter Data
Gayo-Avello, D. 2013 · 2013
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What is an Emotion?
Mohiyeddini, C.; and Bauer, S. 2013 · 2013
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Cognitive approaches to emotions
Oatley, K.; and Johnson-Laird, P. 2014 · 2014
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Measuring Affect and Emotions
Rogers, K. B.; and Robinson, D. T. 2014 · 2014
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The Sociology of Emotions
Lively, K. J.; and Weed, E. A. 2016 · 2016
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This is not a drill: Anxiety on Twitter following the 2018 Hawaii false missile alert
Jones, N. M.; and Silver, R. C. 2020 · 2018
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SemEval-2018 Task 1: Affect in Tweets
Mohammad, S.; Bravo-Marquez, F.; Salameh, M.; and Kiritchenko, S. 2018 · 2018
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The Stability of Economic Correlations over Time
Pasek, J.; Yan, H. Y.; Conrad, F. G.; Newport, F.; and Marken, S. 2018 · 2018
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Collective Emotions and Social Resilience in the Digital Traces After a Terrorist Attack
Garcia, D.; and Rimé, B. 2019 · 2019
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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries
Olteanu, A.; Castillo, C.; Diaz, F.; and Kıcıman, E. 2019 · 2019
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Measuring the Strength of Attitudes in Social Media Data
Amaya, A.; Bach, R.; Kreuter, F.; and Keusch, F. 2020 · 2020
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The FAIR Data principles
FORCE11. 2020 · 2020
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Collective Emotions
Goldenberg, A.; Garcia, D.; Halperin, E.; and Gross, J. J. 2020 · 2020
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Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends
Lwin, M. O.; Lu, J.; Sheldenkar, A.; Schulz, P. J.; Shin, W.; Gupta, R.; and Yang, Y. 2020 · 2020
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Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data
Valdez, D.; Ten Thij, M.; Bathina, K.; Rutter, L. A.; and Bollen, J. 2020 · 2020
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Dynamic Language Models for Continuously Evolving Content
Amba Hombaiah, S.; Chen, T.; Zhang, M.; Bendersky, M.; and Najork, M. 2021 · 2021
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Social media conversations reveal large psychological shifts caused by COVID-19’s onset across U.S. cities
Ashokkumar, A.; and Pennebaker, J. W. 2021 · 2021
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Location Methodology
Brandwatch. 2020b · 2021
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Social media emotion macroscopes reflect emotional experiences in society at large
Garcia, D.; Pellert, M.; Lasser, J.; and Metzler, H. 2021 · 2021
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Datasheets for datasets
Gebru, T.; Morgenstern, J.; Vecchione, B.; Vaughan, J. W.; Wallach, H.; Iii, H. D.; and Crawford, K. 2021 · 2021
Cited alongside, same era.
LoRA: Low-Rank Adaptation of Large Language Models
Hu, E. J.; Shen, Y.; Wallis, P.; Allen-Zhu, Z.; Li, Y.; Wang, S.; Wang, L.; and Chen, W. 2021 · 2021
Cited alongside, same era.
Knowledge of cultural moral norms in large language models
Ramezani, A.; and Xu, Y. 2023 · 2023
Later among the works it cites.
Whose Opinions Do Language Models Reflect?
Santurkar, S.; Durmus, E.; Ladhak, F.; Lee, C.; Liang, P.; and Hashimoto, T. 2023 · 2023
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Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion
Von Der Heyde, L.; Haensch, A.-C.; and Wenz, A. 2023 · 2023
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Towards Measuring and Modeling ”Culture” in LLMs: A Survey
Adilazuarda, M. F.; Mukherjee, S.; Lavania, P.; Singh, S.; Dwivedi, A.; Aji, A. F.; O’Neill, J.; Modi, A.; and Choudhury, M. 2024 · 2024
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Mind the Gap: Assessing Temporal Generalization in Neural Language Models
Lazaridou, A.; Kuncoro, A.; Gribovskaya, E.; Agrawal, D.; Liška, A.; Terzi, T.; and Gimenez, M. 2021 · 2021
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Röttger, P.; and Pierrehumbert, J. B. 2021 · 2021
Cited alongside, same era.
A Total Error Framework for Digital Traces of Human Behavior on Online Platforms
Sen, I.; Flöck, F.; Weller, K.; Weiß, B.; and Wagner, C. 2021 · 2021
Cited alongside, same era.
TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Camacho-Collados, J.; Rezaee, K.; Riahi, T.; Ushio, A.; Loureiro, D.; Antypas, D.; Boisson, J.; Espinosa-Anke, L.; Liu, F.; Martínez-Cámara, E.; Medina, G.; Buhrmann, T.; Neves, L.; and Barbieri, F. 2022 · 2022
Cited alongside, same era.
Validating daily social media macroscopes of emotions
Pellert, M.; Metzler, H.; Matzenberger, M.; and Garcia, D. 2022 · 2022
Cited alongside, same era.
Out of One, Many: Using Language Models to Simulate Human Samples
Argyle, L. P.; Busby, E. C.; Fulda, N.; Gubler, J. R.; Rytting, C.; and Wingate, D. 2023 · 2023
Cited alongside, same era.
Which Humans?
Atari, M.; Xue, M. J.; Park, P. S.; Blasi, D. E.; and Henrich, J. 2023 · 2023
Cited alongside, same era.
Agnew, W.; Bergman, A. S.; Chien, J.; Díaz, M.; El-Sayed, S.; Pittman, J.; Mohamed, S.; and McKee, K. R. 2024 · 2024
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Llama 3 Model Card
AI@Meta. 2024 · 2024
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Forsight: User Guide
Brandwatch. 2020a · 2024
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The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models
Ma, B.; Wang, X.; Hu, T.; Haensch, A.-C.; Hedderich, M. A.; Plank, B.; and Kreuter, F. 2024 · 2024
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Set-Based Prompting: Provably Solving the Language Model Order Dependency Problem
McIlroy-Young, R.; Brown, K.; Olson, C.; Zhang, L.; and Dwork, C. 2024 · 2024
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Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
Naous, T.; Ryan, M. J.; Ritter, A.; and Xu, W. 2024 · 2024
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Röttger, P.; Hofmann, V.; Pyatkin, V.; Hinck, M.; Kirk, H. R.; Schütze, H.; and Hovy, D. 2024 · 2024
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Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information
Sun, S.; Lee, E.; Nan, D.; Zhao, X.; Lee, W.; Jansen, B. J.; and Kim, J. H. 2024 · 2024
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Do LLMs exhibit human-like response biases? A case study in survey design
Tjuatja, L.; Chen, V.; Wu, S. T.; Talwalkar, A.; and Neubig, G. 2024 · 2024
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Large language models cannot replace human participants because they cannot portray identity groups
Wang, A.; Morgenstern, J.; and Dickerson, J. P. 2024 · 2024
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Wu, Q.; Khan, M. A.; Das, S.; Nanda, V.; Ghosh, B.; Kolling, C.; Speicher, T.; Bindschaedler, L.; Gummadi, K. P.; and Terzi, E. 2024 · 2024
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Britain’s Mood, Measured Weekly
YouGov. 2024a · 2024
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Government approval
YouGov. 2024b · 2024
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How well is Boris Johnson doing as Prime Minister?
YouGov. 2024c · 2024
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Panel Methodology
YouGov. 2024d · 2024
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Will the NHS get better or worse?
YouGov. 2024e · 2024
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