March 18, 2024, 4:47 a.m. | Sohom Ghosh, Chung-Chi Chen, Sudip Kumar Naskar

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.09702v1 Announce Type: new
Abstract: In the realm of social media, understanding and predicting post reach is a significant challenge. This paper presents a Crowd Reaction AssessMent (CReAM) task designed to estimate if a given social media post will receive more reaction than another, a particularly essential task for digital marketers and content writers. We introduce the Crowd Reaction Estimation Dataset (CRED), consisting of pairs of tweets from The White House with comparative measures of retweet count. The proposed Generator-Guided …

abstract arxiv assessment challenge cs.cl digital generator marketers media paper social social media type understanding will writers

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