Challenges and future directions of big data and artificial intelligence in education

H Luan, P Geczy, H Lai, J Gobert, SJH Yang… - Frontiers in …, 2020 - frontiersin.org
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 …

Polarization and acculturation in US Election 2016 outcomes–Can twitter analytics predict changes in voting preferences

P Grover, AK Kar, YK Dwivedi, M Janssen - Technological Forecasting and …, 2019 - Elsevier
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 …

What makes people share political content on social media? The role of emotion, authority and ideology

J Weismueller, P Harrigan, K Coussement… - Computers in Human …, 2022 - Elsevier
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 …

Sentiment analysis for the natural environment: A systematic review

MO Ibrohim, C Bosco, V Basile - ACM Computing Surveys, 2023 - dl.acm.org
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 …

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 …

Triggering effects of mobile video marketing in nature tourism: Media richness perspective

A Alamäki, J Pesonen, A Dirin - Information Processing & Management, 2019 - Elsevier
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 …

Risk sharing on Twitter: Social amplification and attenuation of risk in the early stages of the COVID-19 pandemic

XA Zhang, R Cozma - Computers in Human Behavior, 2022 - Elsevier
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 …

The homophily principle in social network analysis: A survey

KZ Khanam, G Srivastava, V Mago - Multimedia Tools and Applications, 2023 - Springer
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 …

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 “parallel pandemic” in the context of China: the spread of rumors and rumor-corrections during COVID-19 in Chinese social media

Y Song, KH Kwon, Y Lu, Y Fan… - American Behavioral …, 2021 - journals.sagepub.com
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 …