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Titlebook: Social, Cultural, and Behavioral Modeling; 13th International C Robert Thomson,Halil Bisgin,Muhammad Hussain Conference proceedings 2020 Sp

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Understanding Colonial Legacy and Environmental Issues in Senegal Through Language Use,ts and implications. In this study, we extract word embeddings from Senegalese newspapers and French Wikipedia and then compare the results to identify different word sentiments in Senegalese cultures to understand the past, present, and future of the country.
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MDR Cluster-Debias: A Nonlinear Word Embedding Debiasing Pipeline,hat it significantly outperforms other existing debiasing approaches on a variety of upstream bias tests but achieves limited improvement on decreasing gender bias in a downstream task. This indicates that word embeddings encode gender bias in still other ways, not necessarily captured by upstream tests.
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Lying About Lying on Social Media: A Case Study of the 2019 Canadian Elections, discourse in our data set. Bots that attempt to pass as human have been reportedly used to amplify misinformation campaigns in the past. This new type of online defensive strategy shows how these campaigns continue to evolve and illustrates how they may be run in the future.
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Polarizing Tweets on Climate Change,s that believe in the anthropogenic causes of climate change. On the other hand, Believer messages focused on calls to combat climate change. We find that in both Disbelievers and Believers bot-like accounts were equally active and that unlike Believers, Disbelievers get their news from a concentrated number of news sources.
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Kamwoo Lee,Jeanine Braithwaite,Michel Atchikpaution of the basins in which the strata were deposited. The main episodes appear to be related to: (1) rifting and transgression over a crystalline basement and birth of a carbonate platform (Middle Lias); (2) progressive collapsing and drowning of the platform (Late Lias); (3) further extension of
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