Articles with "twitter data" as a keyword



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Harnessing Twitter data to survey public attention and attitudes towards COVID-19 vaccines in the UK

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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… read more here.

Keywords: data survey; public attention; survey public; attention attitudes ... See more keywords
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Modelling rapid online cultural transmission: evaluating neutral models on Twitter data with approximate Bayesian computation

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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… read more here.

Keywords: neutral models; information; transmission; twitter data ... See more keywords
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Suicidal ideation prediction in twitter data using machine learning techniques

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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… read more here.

Keywords: ideation; detection; twitter data; suicidal ideation ... See more keywords
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Risk perceptions and emotional stability in response to Cyclone Debbie: an analysis of Twitter data

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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,… read more here.

Keywords: risk; twitter data; cyclone debbie; emotional stability ... See more keywords
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Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data

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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… read more here.

Keywords: machine learning; covid; analysis; sentiment analysis ... See more keywords
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Deep Learning for Latent Events Forecasting in Content Caching Networks

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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… read more here.

Keywords: latent events; content caching; events forecasting; approach ... See more keywords

Twitter data analysis using hadoop ecosystems and apache zeppelin

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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… read more here.

Keywords: using hadoop; apache zeppelin; twitter data; data analysis ... See more keywords
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Artificial Intelligence and Inclusion: Formerly Gang-Involved Youth as Domain Experts for Analyzing Unstructured Twitter Data

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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… read more here.

Keywords: twitter data; formerly gang; domain experts; involved youth ... See more keywords
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Scaling laws in geo-located Twitter data

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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… read more here.

Keywords: population density; twitter data; scaling laws; twitter ... See more keywords
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Are papers addressing certain diseases perceived where these diseases are prevalent? The proposal to use Twitter data as social-spatial sensors

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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.… read more here.

Keywords: social spatial; twitter data; diseases perceived; certain diseases ... See more keywords
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Ethical and Methodological Considerations of Twitter Data for Public Health Research: Systematic Review

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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… read more here.

Keywords: research; health research; public health; twitter ... See more keywords