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Future Fellowships - Grant ID: FT140100422

Title
Future Fellowships - Grant ID: FT140100422
Funding
ARC | Future Fellowships
Contract (GA) number
FT140100422
Start Date
2014/01/01
End Date
2018/12/31
Open Access mandate
no
Organizations
-
More information
http://purl.org/au-research/grants/arc/FT140100422

 

  • Decoding The Brain: Neural Representation And The Limits Of Multivariate Pattern Analysis In Cognitive Neuroscience

    Klein, Colin; Ritchie, J.; Kaplan, David (2017)
    Projects: ARC | Future Fellowships - Grant ID: FT140100422 (FT140100422)
    Since its introduction, multivariate pattern analysis (MVPA), or neural decoding, has transformed the field of cognitive neuroscience. Underlying its influence is a crucial inference, which we call the Decoder's Dictum: if information can be decoded from patterns of neural activity, then this provides strong evidence about what information those patterns represent. Although the Dictum is a widely held and well-motivated principle in decoding research, it has received scant philosophical atten...

    Pathways to conspiracy: the social and linguistic precursors of involvement in Reddit's conspiracy theory forum

    Dunn, Adam; Klein, Colin; Clutton, Peter (2018)
    Projects: ARC | Future Fellowships - Grant ID: FT140100422 (FT140100422)
    Conspiracy beliefs are common, and can cause harm to individuals and their communities. Our aim was to examine the social and linguistic characteristics of forum users who became active participants in a large online conspiracy forum. The study is a retrospective case-control study using a large dataset from the online forum network Reddit, comparing users who would go on to post comments in a conspiracy forum with a group of control users. The analyses show that prior to posting in conspirac...

    Topic Modeling Reveals Distinct Interests within an Online Conspiracy Forum

    Klein, Colin; Clutton, Peter; Polito, Vince (2018)
    Projects: ARC | Future Fellowships - Grant ID: FT140100422 (FT140100422)
    Conspiracy theories play a troubling role in political discourse. Online forums provide a valuable window into everyday conspiracy theorizing, and can give a clue to the motivations and interests of those who post in such forums. Yet this online activity can be difficult to quantify and study. We describe a unique approach to studying online conspiracy theorists which used non-negative matrix factorization to create a topic model of authors' contributions to the main conspiracy forum on Reddi...
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