Zobrazeno 1 - 10
of 102
pro vyhledávání: '"Daniel Preotiuc-Pietro"'
Autor:
Jordan Carpenter, Daniel Preotiuc-Pietro, Jenna Clark, Lucie Flekova, Laura Smith, Margaret L. Kern, Anneke Buffone, Lyle Ungar, Martin Seligman
Publikováno v:
Judgment and Decision Making, Vol 13, Pp 562-574 (2018)
Online, social media communication is often ambiguous, and it can encourage speed and inattentiveness. We investigated whether Actively Open Minded Thinking (AOT), a dispositional willingness to seek out new or potentially threatening information, ma
Externí odkaz:
https://doaj.org/article/33e8f6039bd2461d95c1f908475e3b1e
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 10:211-220
The content of images users post to their social media is driven in part by personality. In this study, we analyze how Twitter profile images vary with the personality of the users posting them. In our main analysis, we use profile images from over 6
Publikováno v:
EACL
Identifying named entities in written text is an essential component of the text processing pipeline used in applications such as text editors to gain a better understanding of the semantics of the text. However, the typical experimental setup for ev
Publikováno v:
COLING
A 2018 study led by the Media Insight Project showed that most journalists think that a clearmarking of what is news reporting and what is commentary or opinion (e.g., editorial, op-ed)is essential for gaining public trust. We present an approach to
Publikováno v:
ACL
Named entity recognition is a key component of many text processing pipelines and it is thus essential for this component to be robust to different types of input. However, domain transfer of NER models with data from multiple genres has not been wid
Publikováno v:
ACL
Natural language processing models often have to make predictions on text data that evolves over time as a result of changes in language use or the information described in the text. However, evaluation results on existing data sets are seldom report
Publikováno v:
Anthrozoös. 30:671-680
Animal preferences are thought to be linked with more salient psychological traits of people, and most research examining owner personality as a differentiating factor has obtained mixed results. The rise in usage of social networks offers users a ne
Autor:
Jordan Carpenter, Margaret L. Kern, Anneke Buffone, Daniel Preotiuc-Pietro, Lyle H. Ungar, Salvatore Giorgi, Martin E. P. Seligman, Lucie Flekova, Courtney A. Hagan
Publikováno v:
Social Psychological and Personality Science. 8:310-322
People associate certain behaviors with certain social groups. These stereotypical beliefs consist of both accurate and inaccurate associations. Using large-scale, data-driven methods with social media as a context, we isolate stereotypes by using ve
Publikováno v:
CIKM
Research into the darker traits of human nature is growing in interest especially in the context of increased social media usage. This allows users to express themselves to a wider online audience. We study the extent to which the standard model of d
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 30
User attribute prediction from social media text has proven successful and useful for downstream tasks. In previous studies, differences in user trait language use have been limited primarily to the presence or absence of words that indicate topical