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1
Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts
In: Springer Berlin Heidelberg (2021)
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2
Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter
In: Sci Adv (2021)
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3
How the world’s collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter
In: PLoS One (2021)
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4
Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter ...
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5
Fame and Ultrafame: Measuring and comparing daily levels of `being talked about' for United States' presidents, their rivals, God, countries, and K-pop ...
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6
English verb regularization in books and tweets
Gray, Tyler J.; Reagan, Andrew J.; Dodds, Peter Sheridan. - : Public Library of Science, 2018
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7
Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs [<Journal>]
Reagan, Andrew J. [Verfasser]; Danforth, Christopher M. [Sonstige]; Tivnan, Brian [Sonstige].
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8
Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter ...
Abstract: Since the shooting of Black teenager Michael Brown by White police officer Darren Wilson in Ferguson, Missouri, the protest hashtag #BlackLivesMatter has amplified critiques of extrajudicial killings of Black Americans. In response to #BlackLivesMatter, other Twitter users have adopted #AllLivesMatter, a counter-protest hashtag whose content argues that equal attention should be given to all lives regardless of race. Through a multi-level analysis of over 860,000 tweets, we study how these protests and counter-protests diverge by quantifying aspects of their discourse. We find that #AllLivesMatter facilitates opposition between #BlackLivesMatter and hashtags such as #PoliceLivesMatter and #BlueLivesMatter in such a way that historically echoes the tension between Black protesters and law enforcement. In addition, we show that a significant portion of #AllLivesMatter use stems from hijacking by #BlackLivesMatter advocates. Beyond simply injecting #AllLivesMatter with #BlackLivesMatter content, these hijackers ...
Keyword: Altruism, Morality, and Social Solidarity; Collective Behavior and Social Movements; Communication; Computational Linguistics; FOS Languages and literature; FOS Sociology; Human Rights; Linguistics; Peace, War, and Social Conflict; Political Economy of the World System; Social and Behavioral Sciences; Social Influence and Political Communication; Social Media; Sociology
URL: https://dx.doi.org/10.17605/osf.io/t426r
https://osf.io/preprints/socarxiv/t426r/
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9
Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs ...
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10
Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs ...
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11
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
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12
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
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13
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
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14
Forecasting the onset and course of mental illness with Twitter data ...
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15
The Lexicocalorimeter: Gauging public health through caloric input and output on social media
In: PLoS (2015)
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16
Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs ...
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