We draw insights from the social psychology literature to identify two facets of Twitter
deliberations about migrants, ie, perceptions about migrants and behaviors towards …

In this paper, sentiment analysis of two critical events is presented using machine learning
(ML) techniques. COVID-19 has put immense pressure across the globe and sentiment …

Reversal of public opinion is an important phenomenon of opinion evolution besides
consensus and polarization. Information released by someone often boosts others to …

Although the Syrian refugee crisis has received global media attention, studies exploring the
representation of Syrian refugees in American media have been lacking. Using both content …

Perkembangan media sosial memudahkan pengguna dalam percepatan akses informasi di
internet. Akses informasi yang awalnya sulit diperoleh begitu mudah sekarang ini. Media …

This paper comparatively studies people's opinions on AI privacy between the US and
China. Based on data collected from Twitter and Weibo, we perform text clustering and …

This study uses novel deep learning-based language models to extract meaningful
information from vast chunks of textual data from Twitter on the competing narratives of the …

In large MOOC cohorts, the sheer variance and volume of discussion forum posts can make
it difficult for instructors to distinguish nuanced emotion in students, such as engagement …

Better understanding of social media uses in crisis situations can help improve disaster
management by policy-makers, organizations, businesses, and members of the public. It can …

Guided by moral foundation theory (MFT), this study examines# StopAsianHate messages
on Twitter to identify the main narratives surrounding the campaign. It also aims to unpack …