Zobrazeno 1 - 10
of 88
pro vyhledávání: '"David Stillwell"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Prior research demonstrates that news-related social media posts using negative language are re-posted more, rewarding users who produce negative content. We investigate whether negative material from external news sites is also introduced t
Externí odkaz:
https://doaj.org/article/2ffb01a77f3d4152b0a4bba577b5e045
Autor:
Gabriela Czarnek, David Stillwell
Publikováno v:
PLoS ONE, Vol 17, Iss 10 (2022)
Emotion lexicons became a popular method for quantifying affect in large amounts of textual data (e.g., social media posts). There are multiple independently developed emotion lexicons which tend to correlate positively with one another but not entir
Externí odkaz:
https://doaj.org/article/22ad5d4c77284586871136e813b39716
Autor:
Vivek Kulkarni, Margaret L Kern, David Stillwell, Michal Kosinski, Sandra Matz, Lyle Ungar, Steven Skiena, H Andrew Schwartz
Publikováno v:
PLoS ONE, Vol 13, Iss 11, p e0201703 (2018)
Over the past century, personality theory and research has successfully identified core sets of characteristics that consistently describe and explain fundamental differences in the way people think, feel and behave. Such characteristics were derived
Externí odkaz:
https://doaj.org/article/4826f2baa16c48f1a1deef3cafcc3b06
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0187278 (2017)
Subjective well-being includes 'affect' and 'satisfaction with life' (SWL). This study proposes a unified approach to construct a profile of subjective well-being based on social media language in Facebook status updates. We apply sentiment analysis
Externí odkaz:
https://doaj.org/article/df54a36ecdc24579a24222dbb5bf2b37
Autor:
Gregory Park, David Bryce Yaden, H Andrew Schwartz, Margaret L Kern, Johannes C Eichstaedt, Michael Kosinski, David Stillwell, Lyle H Ungar, Martin E P Seligman
Publikováno v:
PLoS ONE, Vol 11, Iss 5, p e0155885 (2016)
Using a large social media dataset and open-vocabulary methods from computational linguistics, we explored differences in language use across gender, affiliation, and assertiveness. In Study 1, we analyzed topics (groups of semantically similar words
Externí odkaz:
https://doaj.org/article/91e5bc2748754de58d329c087a516401
Autor:
H Andrew Schwartz, Johannes C Eichstaedt, Margaret L Kern, Lukasz Dziurzynski, Stephanie M Ramones, Megha Agrawal, Achal Shah, Michal Kosinski, David Stillwell, Martin E P Seligman, Lyle H Ungar
Publikováno v:
PLoS ONE, Vol 8, Iss 9, p e73791 (2013)
We analyzed 700 million words, phrases, and topic instances collected from the Facebook messages of 75,000 volunteers, who also took standard personality tests, and found striking variations in language with personality, gender, and age. In our open-
Externí odkaz:
https://doaj.org/article/e84c8e2b54974bc982d72a411ad35e41
Fairness is a principal social value that is observable in civilisations around the world. Yet, a fairness metric for digital texts that describe even a simple social interaction, e.g., ‘The boy hurt the girl’ has not been developed. We address t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b40de58d66f793bdff8eddf64ccfc950
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 7:2-5
In the Workshop on Computational Personality Recognition (Shared Task), we released two datasets, varying in size and genre, annotated with gold standard personality labels. This allowed participants to evaluate features and learning techniques, and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::585ce1a381cb49dfb90d20a2f602a8dd
https://doi.org/10.1609/icwsm.v7i2.14467
https://doi.org/10.1609/icwsm.v7i2.14467
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 7:23-26
Beyond being facilitators of human interactions, social networks have become an interesting target of research, providing rich information for studying and modeling user’s behavior. Identification of personality-related indicators encrypted in Face
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df9a21b8ca712d1c655df2fa42ff9606
https://doi.org/10.1609/icwsm.v7i2.14466
https://doi.org/10.1609/icwsm.v7i2.14466
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 9:31-40
People's values provide a decision-making framework that helps guide their everyday actions. Most popular methods of assessing values show tenuous relationships with everyday behaviors. Using a new Amazon Mechanical Turk dataset (N = 767) consisting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e03f5d02e491b7af8784043f69323ca
https://doi.org/10.1609/icwsm.v9i1.14589
https://doi.org/10.1609/icwsm.v9i1.14589