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Andrew J Reagan

Biographic Data

ID3425864
NAMEAndrew J Reagan
GIVEN NAMESAndrew J
FAMILY NAMEReagan
SIGNATUREREAGAN A J
AFFILIATIONSUniversity of Vermont
ORCID0000-0002-5907-2696
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS0
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2018
H-INDEX0
  • Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter

    Open Access•Ryan J Gallagher, Andrew J Reagan et al.•ARTICLE•PLoS ONE•2018

    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 analysi…

  • The emotional arcs of stories are dominated by six basic shapes

    Open Access•Andrew J Reagan, Lewis Mitchell et al.•ARTICLE•EPJ Data Science•2016

    Advances in computing power, natural language processing, and digitization of text now make it possible to study a culture’s evolution through its texts using a ‘big data’ lens. Our ability to communicate relies in part upon a shared emotional experience, with stories often following distinct emotional trajectories and forming patterns that are meaningful to us. Here, by classifying the emotional arcs for a filtered subset of 1,327 stories from P…

  • Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll

    Open Access•Emily M Cody, Andrew J Reagan et al.•ARTICLE•PLoS ONE•2015

    The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the severity of findings in scientific papers may be too opaque for the public to understand. Social media, however, is a forum where individuals of diverse backgrounds can share their thoughts and opinions. As consumption shifts from old media to new, Twitter has become a v…

  • Human language reveals a universal positivity bias

    Open Access•Peter Sheridan Dodds, Eric M Clark et al.•ARTICLE•Proceedings of the National…•2015

    Significance The most commonly used words of 24 corpora across 10 diverse human languages exhibit a clear positive bias, a big data confirmation of the Pollyanna hypothesis. The study’s findings are based on 5 million individual human scores and pave the way for the development of powerful language-based tools for measuring emotion.

  • When grieving adults support grieving children: Tensions in a peer support bereavement group programme

    John Eric Baugher, Molly McIntyre et al.•ARTICLE•Mortality•2012

    This paper analyses the training and supervision offered to volunteers at a bereavement centre for children in the Northeast United States. Drawing on interviews with 15 former volunteers, five current volunteers, and two staff members, the analysis illustrates how the feeling rules of the organisation shape interactional dynamics during group supervision meetings, and how these organisational processes reflect broader themes in contemporary talk…

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  • When grieving adults support grieving children: Tensions in a peer support bereavement group programme

    John Eric Baugher, Molly McIntyre et al.•ARTICLE•Mortality•2012

    This paper analyses the training and supervision offered to volunteers at a bereavement centre for children in the Northeast United States. Drawing on interviews with 15 former volunteers, five current volunteers, and two staff members, the analysis illustrates how the feeling rules of the organisation shape interactional dynamics during group supervision meetings, and how these organisational processes reflect broader themes in contemporary talk…

  • Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll

    Open Access•Emily M Cody, Andrew J Reagan et al.•ARTICLE•PLoS ONE•2015

    The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the severity of findings in scientific papers may be too opaque for the public to understand. Social media, however, is a forum where individuals of diverse backgrounds can share their thoughts and opinions. As consumption shifts from old media to new, Twitter has become a v…

  • Human language reveals a universal positivity bias

    Open Access•Peter Sheridan Dodds, Eric M Clark et al.•ARTICLE•Proceedings of the National…•2015

    Significance The most commonly used words of 24 corpora across 10 diverse human languages exhibit a clear positive bias, a big data confirmation of the Pollyanna hypothesis. The study’s findings are based on 5 million individual human scores and pave the way for the development of powerful language-based tools for measuring emotion.

  • The emotional arcs of stories are dominated by six basic shapes

    Open Access•Andrew J Reagan, Lewis Mitchell et al.•ARTICLE•EPJ Data Science•2016

    Advances in computing power, natural language processing, and digitization of text now make it possible to study a culture’s evolution through its texts using a ‘big data’ lens. Our ability to communicate relies in part upon a shared emotional experience, with stories often following distinct emotional trajectories and forming patterns that are meaningful to us. Here, by classifying the emotional arcs for a filtered subset of 1,327 stories from P…

  • Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter

    Open Access•Ryan J Gallagher, Andrew J Reagan et al.•ARTICLE•PLoS ONE•2018

    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 analysi…

Computer Science (2 works) · Language and cultural evolution (2 works) · Political science (2 works) · Politics (2 works) · Psychology (2 works) · Social media (2 works) · Sociology (2 works) · Advertising (1 works) · Artificial Intelligence (1 works) · Attachment and Relationship Dynamics (1 works)

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