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Predicting Audience Engagement Across Social Media Platforms in the News Domain.

, , and . SocInfo, volume 11864 of Lecture Notes in Computer Science, page 173-187. Springer, (2019)

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Reports of the Workshops Held at the 2016 International AAAI Conference on Web and Social Media., , , , , , , , , and 1 other author(s). AI Mag., 37 (4): 89-93 (2016)Benchmarking zero-shot stance detection with FlanT5-XXL: Insights from training data, prompting, and decoding strategies into its near-SoTA performance., , , , and . CoRR, (2024)Enhancing Stance Classification with Quantified Moral Foundations., , , , , , and . CoRR, (2023)Can we trust the evaluation on ChatGPT?, , , and . CoRR, (2023)Persona Perception Scale: Development and Exploratory Validation of an Instrument for Evaluating Individuals' Perceptions of Personas., , , , , and . Int. J. Hum. Comput. Stud., (2020)Predicting Audience Engagement Across Social Media Platforms in the News Domain., , and . SocInfo, volume 11864 of Lecture Notes in Computer Science, page 173-187. Springer, (2019)Public perception of generative AI on Twitter: an empirical study based on occupation and usage., , , , and . EPJ Data Sci., 13 (1): 2 (December 2024)"This Is Fake News": Characterizing the Spontaneous Debunking from Twitter Users to COVID-19 False Information., , , , , and . ICWSM, page 650-661. AAAI Press, (2023)View, Like, Comment, Post: Analyzing User Engagement by Topic at 4 Levels across 5 Social Media Platforms for 53 News Organizations., , and . ICWSM, page 47-57. AAAI Press, (2019)Interference-aware routing protocol in multi-radio wireless mesh networks., , , and . CFI, page 12-15. ACM, (2009)