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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-02710-4
Abstract: Attitudes to COVID-19 vaccination vary considerably within and between countries. Although the contribution of socio-demographic factors to these attitudes has been studied, the role of social media and how it interacts with news about vaccine…
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Keywords:
data survey;
public attention;
survey public;
attention attitudes ... See more keywords
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Published in 2019 at "Palgrave Communications"
DOI: 10.1057/s41599-019-0295-9
Abstract: As social media technologies alter the variation, transmission and sorting of online information, short-term cultural evolution is transformed. In these media contexts, cultural evolution is an intra-generational process with much ‘horizontal’ transmission. As a pertinent…
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Keywords:
neutral models;
information;
transmission;
twitter data ... See more keywords
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Published in 2020 at "Journal of Interdisciplinary Mathematics"
DOI: 10.1080/09720502.2020.1721674
Abstract: Abstract People prefer new technology by using online social media as a communication channels to express their suicidal thoughts. Primary identification and detection are viewed as an effective approach to avoid suicidal attempt and suicidal…
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Keywords:
ideation;
detection;
twitter data;
suicidal ideation ... See more keywords
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Published in 2019 at "Journal of Risk Research"
DOI: 10.1080/13669877.2019.1673798
Abstract: Abstract In March 2017, a category 4 cyclone, ‘Cyclone Debbie’, made landfall across the Great Barrier Reef (GBR) region of Australia. Drawing on the social amplification of risk framework and the concept of emotional stability,…
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Keywords:
risk;
twitter data;
cyclone debbie;
emotional stability ... See more keywords
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2
Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3242234
Abstract: On Twitter, COVID-19 is a highly discussed topic. People worldwide have used Twitter to express their viewpoints and feelings during the pandemic. Previous research has focused on particular topics such as the public’s sentiment during…
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Keywords:
machine learning;
covid;
analysis;
sentiment analysis ... See more keywords
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Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2021.3096747
Abstract: A novel Twitter context aided content caching (TAC) framework is proposed for enhancing the caching efficiency by taking advantage of the legibility and massive volume of Twitter data. For the purpose of promoting the caching…
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Keywords:
latent events;
content caching;
events forecasting;
approach ... See more keywords
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Published in 2019 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v16.i3.pp1490-1498
Abstract: The day-to-day life of the people doesn't depend only on what they think, but it is affected and influenced by what others think. The advertisements and campaigns of the favourite celebrities and mesmerizing personalities influence…
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Keywords:
using hadoop;
apache zeppelin;
twitter data;
data analysis ... See more keywords
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Published in 2020 at "Social Science Computer Review"
DOI: 10.1177/0894439318788314
Abstract: Mining social media data for studying the human condition has created new and unique challenges. When analyzing social media data from marginalized communities, algorithms lack the ability to accurately interpret off-line context, which may lead…
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Keywords:
twitter data;
formerly gang;
domain experts;
involved youth ... See more keywords
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1
Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0218454
Abstract: Twitter has become an important platform for geo-spatial analyses, providing high-volume spatial data on a wide variety of social processes. Understanding the relationship between population density and Twitter activity is therefore of key importance. This…
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Keywords:
population density;
twitter data;
scaling laws;
twitter ... See more keywords
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Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0242550
Abstract: We propose to use Twitter data as social-spatial sensors. This study deals with the question whether research papers on certain diseases are perceived by people in regions (worldwide) that are especially concerned by these diseases.…
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Keywords:
social spatial;
twitter data;
diseases perceived;
certain diseases ... See more keywords
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Published in 2022 at "Journal of Medical Internet Research"
DOI: 10.2196/40380
Abstract: Background Much research is being carried out using publicly available Twitter data in the field of public health, but the types of research questions that these data are being used to answer and the extent…
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Keywords:
research;
health research;
public health;
twitter ... See more keywords