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Out of Vocabulary Words Decrease, Running Texts Prevail and Hashtags Coalesce: Twitter as an Evolving Sociolinguistic System.

, , , and . HICSS, page 1681-1690. IEEE Computer Society, (2016)

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Interdisciplinary Papers Supported by Disciplinary Grants Garner Deep and Broad Scientific Impact., , , and . CoRR, (2023)"Woman-Metal-White vs Man-Dress-Shorts": Combining Social, Temporal and Image Signals to Understand Popularity of Pinterest Fashion Boards., , and . ICWSM, page 346-357. AAAI Press, (2019)Analysis and Prediction of Question Topic Popularity in Community Q&A Sites: A Case Study of Quora., , and . ICWSM, page 238-247. AAAI Press, (2015)Identifying Opinion and Fact Subcategories from the Social Web., , , , , , and . GROUP, page 145-149. ACM, (2018)WASSUP? LOL : Characterizing Out-of-Vocabulary Words in Twitter., , , , , , and . CSCW Companion, page 341-344. ACM, (2016)A Large-scale Analysis of the Marketplace Characteristics in Fiverr., , , , , and . CoRR, (2016)Analyzing Social Book Reading Behavior on Goodreads and How It Predicts Amazon Best Sellers., , and . Influence and Behavior Analysis in Social Networks and Social Media, Springer, (2019)Analyzing the Linguistic Structure of Question Texts to Characterize Answerability in Quora., , and . IEEE Trans. Comput. Social Systems, 5 (3): 816-828 (2018)ENWalk: Learning Network Features for Spam Detection in Twitter., , and . SBP-BRiMS, volume 10354 of Lecture Notes in Computer Science, page 90-101. Springer, (2017)Spam2Vec: Learning Biased Embeddings for Spam Detection in Twitter., , and . WWW (Companion Volume), page 63-64. ACM, (2018)