[HTML][HTML] Twitter as a predictive system: a systematic literature review
E Cano-Marin, M Mora-Cantallops… - Journal of Business …, 2023 - Elsevier
Millions of people use Twitter daily, posting thousands of messages and interacting with
their peers. This research aims to evaluate and classify the predictive potential of the Twitter …
their peers. This research aims to evaluate and classify the predictive potential of the Twitter …
A survey of information cascade analysis: Models, predictions, and recent advances
The deluge of digital information in our daily life—from user-generated content, such as
microblogs and scientific papers, to online business, such as viral marketing and advertising …
microblogs and scientific papers, to online business, such as viral marketing and advertising …
Characterizing the propagation of situational information in social media during covid-19 epidemic: A case study on weibo
During the ongoing outbreak of coronavirus disease (COVID-19), people use social media
to acquire and exchange various types of information at a historic and unprecedented scale …
to acquire and exchange various types of information at a historic and unprecedented scale …
A survey of Twitter research: Data model, graph structure, sentiment analysis and attacks
Twitter is the third most popular worldwide Online Social Network (OSN) after Facebook and
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Instagram. Compared to other OSNs, it has a simple data model and a straightforward data …
Hashtag activism and message frames among social movement organizations: Semantic network analysis and thematic analysis of Twitter during the# MeToo …
During the# MeToo movement, social movement organizations (SMOs) played a crucial role
in the online mobilization by utilizing various message frames and appealing hashtags …
in the online mobilization by utilizing various message frames and appealing hashtags …
Potential biases in big data: Omitted voices on social media
E Hargittai - Social science computer review, 2020 - journals.sagepub.com
While big data offer exciting opportunities to address questions about social behavior,
studies must not abandon traditionally important considerations of social science research …
studies must not abandon traditionally important considerations of social science research …
[图书][B] Affective publics: Sentiment, technology, and politics
Z Papacharissi - 2015 - books.google.com
Over the past few decades, we have witnessed the growth of movements using digital
means to connect with broader interest groups and express their points of view. These …
means to connect with broader interest groups and express their points of view. These …
[图书][B] Feature engineering for machine learning and data analytics
Feature engineering plays a vital role in big data analytics. Machine learning and data
mining algorithms cannot work without data. Little can be achieved if there are few features …
mining algorithms cannot work without data. Little can be achieved if there are few features …
Seismic: A self-exciting point process model for predicting tweet popularity
Social networking websites allow users to create and share content. Big information
cascades of post resharing can form as users of these sites reshare others' posts with their …
cascades of post resharing can form as users of these sites reshare others' posts with their …
Emotions and information diffusion in social media—sentiment of microblogs and sharing behavior
S Stieglitz, L Dang-Xuan - Journal of management information …, 2013 - Taylor & Francis
As a new communication paradigm, social media has promoted information dissemination in
social networks. Previous research has identified several content-related features as well as …
social networks. Previous research has identified several content-related features as well as …