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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 Hits 1 – 20 of 28 1 Augmenting Semantic Lexicons Using Word Embeddings and Transfer Learning Alshaabi, Thayer; Van Oort, Colin M.; Fudolig, Mikaela Irene... In: Front Artif Intell (2022) BASE Show details 2 Quantifying language changes surrounding mental health on Twitter ... Stupinski, Anne Marie; Alshaabi, Thayer; Arnold, Michael V.. - : arXiv, 2021 BASE Show details 3 The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community ... Gothard, Kelly; Dewhurst, David Rushing; Minot, Joshua R.. - : arXiv, 2021 BASE Show details 4 Augmenting semantic lexicons using word embeddings and transfer learning ... Alshaabi, Thayer; Van Oort, Colin M.; Fudolig, Mikaela Irene. - : arXiv, 2021 BASE Show details 5 Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts Gallagher, Ryan J; Frank, Morgan R; Mitchell, Lewis... In: Springer Berlin Heidelberg (2021) BASE Show details 6 Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane Maria Emery, Benjamin Freixas; Niles, Meredith T.; Danforth, Christopher M.... In: PLoS One (2021) BASE Show details 7 Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter Alshaabi, Thayer; Adams, Jane L.; Arnold, Michael V.... In: Sci Adv (2021) BASE Show details 8 The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–2020 Alshaabi, Thayer; Dewhurst, David Rushing; Minot, Joshua R.; Arnold, Michael V.; Adams, Jane L.; Danforth, Christopher M.; Dodds, Peter Sheridan In: EPJ Data Sci (2021) Abstract: Working from a dataset of 118 billion messages running from the start of 2009 to the end of 2019, we identify and explore the relative daily use of over 150 languages on Twitter. We find that eight languages comprise 80% of all tweets, with English, Japanese, Spanish, Arabic, and Portuguese being the most dominant. To quantify social spreading in each language over time, we compute the ‘contagion ratio’: The balance of retweets to organic messages. We find that for the most common languages on Twitter there is a growing tendency, though not universal, to retweet rather than share new content. By the end of 2019, the contagion ratios for half of the top 30 languages, including English and Spanish, had reached above 1—the naive contagion threshold. In 2019, the top 5 languages with the highest average daily ratios were, in order, Thai (7.3), Hindi, Tamil, Urdu, and Catalan, while the bottom 5 were Russian, Swedish, Esperanto, Cebuano, and Finnish (0.26). Further, we show that over time, the contagion ratios for most common languages are growing more strongly than those of rare languages. Keyword: Regular Article URL: https://doi.org/10.1140/epjds/s13688-021-00271-0 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8010293/ BASE Hide details 9 How the world’s collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter Alshaabi, Thayer; Arnold, Michael V.; Minot, Joshua R.... In: PLoS One (2021) BASE Show details 10 Local information sources received the most attention from Puerto Ricans during the aftermath of Hurricane María ... Emery, Benjamin Freixas; Niles, Meredith T.; Danforth, Christopher M.. - : arXiv, 2020 BASE Show details 11 Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter ... Alshaabi, Thayer; Adams, Jane L.; Arnold, Michael V.. - : arXiv, 2020 BASE Show details 12 Hahahahaha, Duuuuude, Yeeessss!: A two-parameter characterization of stretchable words and the dynamics of mistypings and misspellings Gray, Tyler J.; Danforth, Christopher M.; Dodds, Peter Sheridan In: PLoS One (2020) BASE Show details 13 Fame and Ultrafame: Measuring and comparing daily levels of `being talked about' for United States' presidents, their rivals, God, countries, and K-pop ... Dodds, Peter Sheridan; Minot, Joshua R.; Arnold, Michael V.. - : arXiv, 2019 BASE Show details 14 English verb regularization in books and tweets Gray, Tyler J.; Reagan, Andrew J.; Dodds, Peter Sheridan. - : Public Library of Science, 2018 BASE Show details 15 Forecasting the onset and course of mental illness with Twitter data Reece, Andrew G.; Reagan, Andrew J.; Lix, Katharina L. M.. - : Nature Publishing Group UK, 2017 BASE Show details 16 The Lexicocalorimeter: Gauging public health through caloric input and output on social media Alajajian, Sharon E.; Williams, Jake Ryland; Reagan, Andrew J.. - : Public Library of Science, 2017 BASE Show details 17 Forecasting the onset and course of mental illness with Twitter data Reece, Andrew G.; Reagan, Andrew J.; Lix, Katharina L. M.. - : Nature Publishing Group UK, 2017 BASE Show details 18 Forecasting the onset and course of mental illness with Twitter data ... Reece, Andrew G.; Reagan, Andrew J.; Lix, Katharina L. M.. - : arXiv, 2016 BASE Show details 19 What we write about when we write about causality: Features of causal statements across large-scale social discourse ... McAndrew, Thomas C.; Bongard, Joshua C.; Danforth, Christopher M.. - : arXiv, 2016 BASE Show details 20 The Lexicocalorimeter: Gauging public health through caloric input and output on social media Alajajian, Sharon E.; Williams, Jake Ryland; Reagan, Andrew J.... In: PLoS (2015) BASE Show details Page: 1 2

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