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Challenges and future directions of big data and artificial intelligence in education
We discuss the new challenges and directions facing the use of big data and artificial
intelligence (AI) in education research, policy-making, and industry. In recent years …
intelligence (AI) in education research, policy-making, and industry. In recent years …
Polarization and acculturation in US Election 2016 outcomes–Can twitter analytics predict changes in voting preferences
Elections are among the most critical events in a national calendar. During elections,
candidates increasingly use social media platforms to engage voters. Using the 2016 US …
candidates increasingly use social media platforms to engage voters. Using the 2016 US …
What makes people share political content on social media? The role of emotion, authority and ideology
In this paper, we examine which content characteristics lead to increased sharing of political
information on social media, and which role political ideology has in user sharing behavior …
information on social media, and which role political ideology has in user sharing behavior …
Sentiment analysis for the natural environment: A systematic review
In this systematic review, Kitchenham's framework is used to explore what tasks, techniques,
and benchmarks for Sentiment Analysis have been developed for addressing topics about …
and benchmarks for Sentiment Analysis have been developed for addressing topics about …
Exploring the impact of sentiment on multi-dimensional information dissemination using COVID-19 data in China
H Luo, X Meng, Y Zhao, M Cai - Computers in human behavior, 2023 - Elsevier
The outbreak of information epidemic in crisis events, with the channel effect of social media,
has brought severe challenges to global public health. Combining information, users and …
has brought severe challenges to global public health. Combining information, users and …
Triggering effects of mobile video marketing in nature tourism: Media richness perspective
The aim of this study was to investigate videos as potential triggers of behavior. Therefore,
we applied the theories of triggers and media richness to learn about the triggering …
we applied the theories of triggers and media richness to learn about the triggering …
Risk sharing on Twitter: Social amplification and attenuation of risk in the early stages of the COVID-19 pandemic
Social media trust and sharing behaviors have considerable implications on how risk is
being amplified or attenuated at early stages of pandemic outbreaks and may undermine …
being amplified or attenuated at early stages of pandemic outbreaks and may undermine …
The homophily principle in social network analysis: A survey
In recent years, social media has become a ubiquitous and integral part of social discourse.
Homophily is a fundamental topic in network science and can provide insights into the flow …
Homophily is a fundamental topic in network science and can provide insights into the flow …
Sentiment, richness, authority, and relevance model of information sharing during social Crises—the case of# MH370 tweets
WW Xu, C Zhang - Computers in Human Behavior, 2018 - Elsevier
The study introduces a model of crisis information sharing based on Twitter discussions of
the missing Malaysian Airlines Flight 370. Grounded in the Elaboration Likelihood Model …
the missing Malaysian Airlines Flight 370. Grounded in the Elaboration Likelihood Model …
The “parallel pandemic” in the context of China: the spread of rumors and rumor-corrections during COVID-19 in Chinese social media
Although studies have investigated cyber-rumoring previous to the pandemic, little research
has been undertaken to study rumors and rumor-corrections during the COVID-19 …
has been undertaken to study rumors and rumor-corrections during the COVID-19 …