Fetching the paper…
Reading the bibliography…
Short videos on social media are the dominant way young people consume content.
The nature of human intelligence
Joy Paul Guilford. 1967 · 1967
Earlier work this paper cites.
Scripts, Plans, Goals, and Understanding: An Inquiry Into Human Knowledge Structures
R.C. Schank and R.P. Abelson. 1977 · 1977
Earlier work this paper cites.
Writing strategies: Reaching diverse audiences . Vol. 21
Laurel Richardson. 1990 · 1990
Earlier work this paper cites.
Design fixation
David G Jansson and Steven M Smith. 1991 · 1991
Earlier work this paper cites.
Aristotle’s poetics
Stephen Halliwell. 1998 · 1998
Earlier work this paper cites.
The effects of news frames on readers’ thoughts and recall
Patti M Valkenburg, Holli A Semetko, and Claes H De Vreese. 1999 · 1999
Earlier work this paper cites.
Recent advances in AI planning
Daniel S Weld. 1999 · 1999
Earlier work this paper cites.
Step by Step to Stand-Up Comedy
Greg Dean. 2000 · 2000
Earlier work this paper cites.
The Comedy Bible: From Stand-up to Sitcom–The Comedy Writer’s Ultimate "How To" Guide
Judy Carter. 2001 · 2001
Earlier work this paper cites.
News and its communicative quality: the inverted pyramid—when and why did it appear?
Horst Pottker. 2003 · 2003
Earlier work this paper cites.
The Primer of Humor Research
Victor Raskin. 2009 · 2009
Earlier work this paper cites.
The Serious Guide to Joke Writing: How To Say Something Funny About Anything
Sally Holloway. 2010 · 2010
Earlier work this paper cites.
An offline planning approach to game plotline adaptation. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment , Vol. 6. 45–50
Boyang Li and Mark Riedl. 2010 · 2010
Earlier work this paper cites.
Narrative Planning: Balancing Plot and Character
Mark O. Riedl and R. Michael Young. 2010 · 2010
Earlier work this paper cites.
Framing News in 140 Characters: How Social Media Editors Frame the News and Interact with Audiences via Twitter
Ben S Wasike. 2013 · 2013
Earlier work this paper cites.
The apprentice framework: planning and assessing creativity. Fifth International Conference on Computational Creativity
Santiago Negrete Yankelevich and Nora Angelica Morales Zaragoza. 2014 · 2014
Earlier work this paper cites.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Earlier work this paper cites.
Storeoboard: Sketching Stereoscopic Storyboards. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (San Jose, California, USA) (CHI ’16) . Association for Computing Machinery, New York, NY, USA, 4587–4598
Rorik Henrikson, Bruno De Araujo, Fanny Chevalier, Karan Singh, and Ravin Balakrishnan. 2016 · 2016
Earlier work this paper cites.
Writing for journalists
Wynford Hicks, Adams Sally, Harriett Gilbert, Tim Holmes, and Jane Bentley. 2016 · 2016
Earlier work this paper cites.
The Associated Press Leaps Forward
Automated Insights. 2016 · 2016
Earlier work this paper cites.
Modes for creative human-computer collaboration: Alternating and task-divided co-creativity. In Proceedings of the seventh international conference on computational creativity . 77–84
Anna Kantosalo and Hannu Toivonen. 2016 · 2016
Earlier work this paper cites.
Script development: Defining the field
Craig Batty, Stayci Taylor, Louise Sawtell, and Bridget Conor. 2017 · 2017
Earlier work this paper cites.
Frustratingly Short Attention Spans in Neural Language Modeling. In International Conference on Learning Representations
Michał Daniluk, Tim Rocktäschel, Johannes Welbl, and Sebastian Riedel. 2017 · 2017
Earlier work this paper cites.
What is news? News values revisited (again)
Tony Harcup and Deirdre O’neill. 2017 · 2017
Earlier work this paper cites.
Behavioral effects of framing on social media users: How conflict, economic, human interest, and morality frames drive news sharing
Sebastián Valenzuela, Martina Piña, and Josefina Ramírez. 2017 · 2017
Earlier work this paper cites.
Automated Journalism 2.0: Event-driven narratives: From simple descriptions to real stories
David Caswell and Konstantin Dörr. 2018 · 2018
Cited alongside, same era.
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics . 4762–4779
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi. 2019 · 2019
Cited alongside, same era.
Neural Storyboard Artist: Visualizing Stories with Coherent Image Sequences. In Proceedings of the 27th ACM International Conference on Multimedia (Nice, France) (MM ’19) . Association for Computing Machinery, New York, NY, USA, 2236–2244
Shizhe Chen, Bei Liu, Jianlong Fu, Ruihua Song, Qin Jin, Pingping Lin, Xiaoyu Qi, Chunting Wang, and Jin Zhou. 2019 · 2019
Cited alongside, same era.
An interaction framework for studying co-creative ai
Matthew Guzdial and Mark Riedl. 2019 · 2019
Cited alongside, same era.
How publishers are learning to create and distribute news on TikTok
Nic Newman. 2022 · 2022
Later among the works it cites.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
Later among the works it cites.
Infotainment as a hybrid of information and entertainment: a conceptual analysis
Reijo Savolainen. 2022 · 2022
Later among the works it cites.
CodeToon: Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (Bend, OR, USA) (UIST ’22) . Association for Computing Machinery, New York, NY, USA, Article 13, 16 pages
Sangho Suh, Jian Zhao, and Edith Law. 2022 · 2022
Later among the works it cites.
Music challenge memes on TikTok: Understanding in-group storytelling videos
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Plan-and-write: Towards better automatic storytelling. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 33. 7378–7385
Lili Yao, Nanyun Peng, Ralph Weischedel, Kevin Knight, Dongyan Zhao, and Rui Yan. 2019 · 2019
Cited alongside, same era.
Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 1877–1901
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
Cited alongside, same era.
“Making every second count”: Utilizing TikTok and systems thinking to facilitate scientific public engagement and contextualization of chemistry at home
Clare Hayes, Katherine Stott, Katie J Lamb, and Glenn A Hurst. 2020 · 2020
Cited alongside, same era.
Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative Models
Ryan Louie, Andy Coenen, Cheng Zhi Huang, Michael Terry, and Carrie J. Cai. 2020 · 2020
Cited alongside, same era.
Analysis and design of computational news angles
Enrico Motta, Enrico Daga, Andreas L Opdahl, and Bjørnar Tessem. 2020 · 2020
Cited alongside, same era.
EmoG: Supporting the Sketching of Emotional Expressions for Storyboarding. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI ’20) . Association for Computing Machinery, New York, NY, USA, 1–12
Yang Shi, Nan Cao, Xiaojuan Ma, Siji Chen, and Pei Liu. 2020 · 2020
Cited alongside, same era.
Minilm: Deep self-attention distillation for task-agnostic compression of pre-trained transformers
Wenhui Wang, Furu Wei, Li Dong, Hangbo Bao, Nan Yang, and Ming Zhou. 2020 · 2020
Cited alongside, same era.
Automated storytelling via causal, commonsense plot ordering. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol. 35. 5859–5867
Prithviraj Ammanabrolu, Wesley Cheung, William Broniec, and Mark O Riedl. 2021 · 2021
Cited alongside, same era.
Arantxa Vizcaíno-Verdú and Crystal Abidin. 2022 · 2022
Later among the works it cites.
PromptChainer: Chaining Large Language Model Prompts through Visual Programming. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22) . Association for Computing Machinery, New York, NY, USA, Article 359, 10 pages
Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, and Carrie J Cai. 2022a · 2022
Later among the works it cites.
AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22) . Association for Computing Machinery, New York, NY, USA, Article 385, 22 pages
Tongshuang Wu, Michael Terry, and Carrie Jun Cai. 2022b · 2022
Later among the works it cites.
Wordcraft: Story Writing With Large Language Models. In 27th International Conference on Intelligent User Interfaces (Helsinki, Finland) (IUI ’22) . Association for Computing Machinery, New York, NY, USA, 841–852
Ann Yuan, Andy Coenen, Emily Reif, and Daphne Ippolito. 2022 · 2022
Later among the works it cites.
Art or artifice? large language models and the false promise of creativity
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, and Chien-Sheng Wu. 2023 · 2023
Closest in time.
Dall-eval: Probing the reasoning skills and social biases of text-to-image generation models. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 3043–3054
Jaemin Cho, Abhay Zala, and Mohit Bansal. 2023 · 2023
Closest in time.
Gender bias and stereotypes in Large Language Models. In Proceedings of The ACM Collective Intelligence Conference . 12–24
Hadas Kotek, Rikker Dockum, and David Sun. 2023 · 2023
Closest in time.
Tweetorial Hooks: Generative AI Tools to Motivate Science on Social Media. In Proceedings of the 14th Conference on Computational Creativity (ICCC ’23) . Association for Computational Creativity
Tao Long, Dorothy Zhang, Grace Li, Batool Taraif, Samia Menon, Kynnedy Simone Smith, Sitong Wang, Katy Ilonka Gero, and Lydia B. Chilton. 2023 · 2023
Closest in time.
Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23) . Association for Computing Machinery, New York, NY, USA, Article 355, 34 pages
Piotr Mirowski, Kory W. Mathewson, Jaylen Pittman, and Richard Evans. 2023 · 2023
Closest in time.
Digital News Report 2022
Nic Newman, Richard Fletcher, Robertson Craig T, Kirsten Eddy, and Rasmus Kleis Nielsen. 2022 · 2023
Closest in time.
OpenAI. 2023 · 2023
Closest in time.
AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Savvas Petridis, Nicholas Diakopoulos, Kevin Crowston, Mark Hansen, Stan Jastrzebski, Keren Henderson, Jeffrey V. Nickerson, and Lydia B. Chilton. 2023 · 2023
Closest in time.
“Meet people where they are”: Legacy media wants a piece of that gen Z tiktok mojo
Joe Pompeo. 2023 · 2023
Closest in time.
How a 28-year-old is transforming the ‘male, pale, and stale’ personal finance industry to become everyone’s ‘Rich BFF’
Jane Thier. 2022 · 2023
Closest in time.
PopBlends: Strategies for conceptual blending with large language models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–19
Sitong Wang, Savvas Petridis, Taeahn Kwon, Xiaojuan Ma, and Lydia B Chilton. 2023b · 2023
Closest in time.
Open-world story generation with structured knowledge enhancement: A comprehensive survey
Yuxin Wang, Jieru Lin, Zhiwei Yu, Wei Hu, and Börje F. Karlsson. 2023a · 2023
Closest in time.
The Next Chapter: A Study of Large Language Models in Storytelling. In Proceedings of the 16th International Natural Language Generation Conference . 323–351
Zhuohan Xie, Trevor Cohn, and Jey Han Lau. 2023 · 2023
Closest in time.
Why Johnny can’t prompt: how non-AI experts try (and fail) to design LLM prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . 1–21
JD Zamfirescu-Pereira, Richmond Y Wong, Bjoern Hartmann, and Qian Yang. 2023 · 2023
Closest in time.
VISAR: A Human-AI Argumentative Writing Assistant with Visual Programming and Rapid Draft Prototyping. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology (San Francisco, CA, USA) (UIST ’23) . Association for Computing Machinery, New York, NY, USA, Article 5, 30 pages
Zheng Zhang, Jie Gao, Ranjodh Singh Dhaliwal, and Toby Jia-Jun Li. 2023 · 2023
Closest in time.
CALYPSO: LLMs as Dungeon Master’s Assistants. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment , Vol. 19. 380–390
Andrew Zhu, Lara Martin, Andrew Head, and Chris Callison-Burch. 2023 · 2023
Closest in time.