Fetching the paper…
Reading the bibliography…
Social media platforms are rife with politically charged discussions.
The moral mind: How five sets of innate intuitions guide the development of many culture-specific virtues, and perhaps even modules
Jonathan Haidt et al. 2007 · 2007
Earlier work this paper cites.
Sparse additive generative models of text
Jacob Eisenstein, Amr Ahmed, and Eric P Xing. 2011 · 2011
Earlier work this paper cites.
Carmen: A twitter geolocation system with applications to public health
Mark Dredze, Michael J Paul, Shane Bergsma, and Hieu Tran. 2013 · 2013
Earlier work this paper cites.
Editorial: The social nature of emotions
Gerben A. vanKleef et al. 2016 · 2016
Earlier work this paper cites.
Classification of moral foundations in microblog political discourse
Kristen Johnson and Dan Goldwasser. 2018 · 2018
Earlier work this paper cites.
SemEval-2018 task 1: Affect in tweets
Saif Mohammad et al. 2018 · 2018
Earlier work this paper cites.
The origins and consequences of affective polarization in the united states
Shanto Iyengar, Yphtach Lelkes, Matthew Levendusky, Neil Malhotra, and Sean J Westwood. 2019 · 2019
Earlier work this paper cites.
Zero-shot stance detection: A dataset and model using generalized topic representations
Emily Allaway and Kathleen Mckeown. 2020 · 2020
Earlier work this paper cites.
Tracking social media discourse about the covid-19 pandemic: Development of a public coronavirus twitter data set
Emily Chen, Kristina Lerman, Emilio Ferrara, et al. 2020 · 2020
Earlier work this paper cites.
SpanEmo: Casting multi-label emotion classification as span-prediction
Hassan Alhuzali et al. 2021 · 2021
Earlier work this paper cites.
Detecting polarized topics using partisanship-aware contextualized topic embeddings
Zihao He, Negar Mokhberian, António Câmara, Andres Abeliuk, and Kristina Lerman. 2021 · 2021
Earlier work this paper cites.
Political partisanship and antiscience attitudes in online discussions about covid-19: Twitter content analysis
Ashwin Rao, Fred Morstatter, Minda Hu, Emily Chen, Keith Burghardt, Emilio Ferrara, and Kristina Lerman. 2021 · 2021
Cited alongside, same era.
Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M Dai, and Quoc V Le. 2021 · 2021
Cited alongside, same era.
Infusing knowledge from wikipedia to enhance stance detection
Zihao He, Negar Mokhberian, and Kristina Lerman. 2022 · 2022
Cited alongside, same era.
Communitylm: Probing partisan worldviews from language models
Hang Jiang, Doug Beeferman, Brandon Roy, and Deb Roy. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Cited alongside, same era.
Affective polarization in social networks
Dan Feldman, Ashwin Rao, Zihao He, and Kristina Lerman. 2023 · 2023
Closest in time.
Shangbin Feng, Chan Young Park, Yuhan Liu, and Yulia Tsvetkov. 2023 · 2023
Closest in time.
A data fusion framework for multi-domain morality learning
Siyi Guo et al. 2023 · 2023
Closest in time.
The flan collection: Designing data and methods for effective instruction tuning
Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V Le, Barret Zoph, Jason Wei, et al. 2023 · 2023
Closest in time.
Pandemic culture wars: Partisan asymmetries in the moral language of covid-19 discussions
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Multitask prompted training enables zero-shot task generalization
Victor Sanh, Albert Webson, Colin Raffel, Stephen H Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, et al. 2022 · 2022
Cited alongside, same era.
Instruction tuning for few-shot aspect-based sentiment analysis
Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, and Dan Roth. 2022 · 2022
Cited alongside, same era.
Super-naturalinstructions: Generalization via declarative instructions on 1600+ nlp tasks
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, et al. 2022 · 2022
Cited alongside, same era.
Out of one, many: Using language models to simulate human samples
Lisa P Argyle, Ethan C Busby, Nancy Fulda, Joshua R Gubler, Christopher Rytting, and David Wingate. 2023 · 2023
Cited alongside, same era.
The media bias chart
Media Bias-Fact Check. 2023 · 2023
Cited alongside, same era.
Qlora: Efficient finetuning of quantized llms
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2023 · 2023
Cited alongside, same era.
Ashwin Rao, Siyi Guo, Sze-Yuh Nina Wang, Fred Morstatter, and Kristina Lerman. 2023 · 2023
Closest in time.
Stanford alpaca: An instruction-following llama model
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto. 2023 · 2023
Closest in time.
Simulating social media using large language models to evaluate alternative news feed algorithms
Petter Törnberg, Diliara Valeeva, Justus Uitermark, and Christopher Bail. 2023 · 2023
Closest in time.
Instructuie: Multi-task instruction tuning for unified information extraction
Xiao Wang, Weikang Zhou, Can Zu, Han Xia, Tianze Chen, Yuansen Zhang, Rui Zheng, Junjie Ye, Qi Zhang, Tao Gui, et al. 2023 · 2023
Closest in time.
Instruction tuning for large language models: A survey
Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang, Xiaofei Sun, Shuhe Wang, Jiwei Li, Runyi Hu, Tianwei Zhang, Fei Wu, et al. 2023 · 2023
Closest in time.
Lima: Less is more for alignment
Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, et al. 2023 · 2023
Closest in time.