Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Eliza Barach"'
Publikováno v:
Heliyon, Vol 6, Iss 8, Pp e04311- (2020)
We describe the evolution of a stereotype as it emerged in tweets about the Charlie Hebdo terrorist attack in Paris in early 2015. Our focus is on terms associated with the Muslim community and the Islamic world. The data (400k tweets) were collected
Externí odkaz:
https://doaj.org/article/5118008177b0446daa903055eff3c430
Publikováno v:
Visual Cognition. 29:510-518
In multiple-target visual searches, subsequent search misses (SSMs; [Cain, M. S., Adamo, S. H., & Mitroff, S. R. (2013). A taxonomy of errors in multiple-target visual search. Visual Cognition, 21(...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::381d42b273c6923bafc0c900a3948e55
https://doi.org/10.1080/13506285.2021.1962468
https://doi.org/10.1080/13506285.2021.1962468
Publikováno v:
Psychonomic Bulletin & Review. 28:978-991
Emojis have many functions that support reading. Most obviously, they convey semantic information and support reading comprehension (Lo, CyberPsychology & Behavior, 11[5], 595-597, 2008; Riordan, Computers in Human Behavior, 76, 75-86, 2017b). Howeve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::431c35f41869ced9db99ede206f37395
https://doi.org/10.3758/s13423-020-01864-y
https://doi.org/10.3758/s13423-020-01864-y
Publikováno v:
Cannabis (Research Society on Marijuana)
Medical marijuana has a long history of use as an analgesic for chronic pain disorders, including dyspareunia (pain during intercourse), a hallmark of the rare chronic pain disorder vulvodynia. Many women's health topics remain under investigated. Fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7df1634ebb38c0cd8a3c9e2b18ad94d
http://europepmc.org/articles/PMC7787394
http://europepmc.org/articles/PMC7787394
Publikováno v:
Social, Cultural, and Behavioral Modeling ISBN: 9783030803865
SBP-BRiMS
SBP-BRiMS
We analyze word usage patterns in posts on Twitter to learn about information and support seeking related to the common experience of food cravings in pregnancy. We apply information-theoretic measures of lexical diversity across tweets to understand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::021aaa457b13b6e44689c0a0f91847bc
https://doi.org/10.1007/978-3-030-80387-2_28
https://doi.org/10.1007/978-3-030-80387-2_28
Publikováno v:
Addiction Research & Theory. 25:383-389
Cannabis has been found to alleviate a wide array of medical symptoms, including those that overlap with physical and emotional symptoms of premenstrual syndrome (PMS) and premenstrual dysphoric disorder (PMDD), including insomnia, irritability, depr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76d90e6b51273f3a91abc85f2a27f728
https://doi.org/10.1080/16066359.2017.1294165
https://doi.org/10.1080/16066359.2017.1294165
Publikováno v:
Heliyon
Heliyon, Vol 6, Iss 8, Pp e04311-(2020)
Heliyon, Vol 6, Iss 8, Pp e04311-(2020)
We describe the evolution of a stereotype as it emerged in tweets about the Charlie Hebdo terrorist attack in Paris in early 2015. Our focus is on terms associated with the Muslim community and the Islamic world. The data (400k tweets) were collected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07db017c7d807518d872d1cb53d6afdd
https://pubmed.ncbi.nlm.nih.gov/32793820
https://pubmed.ncbi.nlm.nih.gov/32793820
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319947082
We analyze naturally occurring social media data that derive from Twitter messages posted over a 24-h period in immediate reaction to the Paris terrorist attacks in November 2015. We separately examine patterns for tweets with first-person singular p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::115cacc86230d7e85a903051ff573e66
https://doi.org/10.1007/978-3-319-94709-9_59
https://doi.org/10.1007/978-3-319-94709-9_59
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319607467
AHFE (26)
AHFE (26)
We analyze language and emoticon use on a social media platform to describe large-scale human reaction to a crisis event. We focus on a targeted corpus of 2 million tweets defined by a set of hashtags and posted on the social media platform Twitter.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::027330af6211ba4de23e98ff6863ce3d
https://doi.org/10.1007/978-3-319-60747-4_3
https://doi.org/10.1007/978-3-319-60747-4_3
Publikováno v:
ADVANCES IN CROSS-CULTURAL DECISION MAKING
ADVANCES IN CROSS-CULTURAL DECISION MAKING, 2017, GEWERBESTRASSE 11, CHAM, CH-6330, Switzerland. pp.345-356, ⟨10.1007/978-3-319-41636-6_28⟩
Advances in Intelligent Systems and Computing ISBN: 9783319416359
ADVANCES IN CROSS-CULTURAL DECISION MAKING, 2017, GEWERBESTRASSE 11, CHAM, CH-6330, Switzerland. pp.345-356, ⟨10.1007/978-3-319-41636-6_28⟩
Advances in Intelligent Systems and Computing ISBN: 9783319416359
International Conference on Cross-Cultural Decision Making (CCDM), FL, JUL 27-31, 2016; International audience; We describe the emergence of an online community from naturally occurring social media data. Our method uses patterns of word choice in an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb7343addcc736edbb53024f91b68ddb
https://hal.archives-ouvertes.fr/hal-01619518
https://hal.archives-ouvertes.fr/hal-01619518