A survey of information cascade analysis: Models, predictions, and recent advances

F Zhou, X Xu, G Trajcevski, K Zhang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
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 …

Challenges and research opportunities in ecommerce search and recommendations

M Tsagkias, TH King, S Kallumadi, V Murdock… - ACM Sigir Forum, 2021 - dl.acm.org
With the rapid adoption of online shopping, academic research in the eCommerce domain
has gained traction. However, significant research challenges remain, spanning from classic …

Early prediction of movie box office success based on Wikipedia activity big data

M Mestyán, T Yasseri, J Kertész - PloS one, 2013 - journals.plos.org
Use of socially generated “big data” to access information about collective states of the
minds in human societies has become a new paradigm in the emerging field of …

A survey on predicting the popularity of web content

A Tatar, MD De Amorim, S Fdida… - Journal of Internet Services …, 2014 - Springer
Social media platforms have democratized the process of web content creation allowing
mere consumers to become creators and distributors of content. But this has also contributed …

Understanding the predictive power of social media

E Kalampokis, E Tambouris, K Tarabanis - Internet Research, 2013 - emerald.com
Purpose–The purpose of this paper is to consolidate existing knowledge and provide a
deeper understanding of the use of social media (SM) data for predictions in various areas …

[HTML][HTML] Data science, machine learning and big data in digital journalism: A survey of state-of-the-art, challenges and opportunities

E Fernandes, S Moro, P Cortez - Expert Systems with Applications, 2023 - Elsevier
Digital journalism has faced a dramatic change and media companies are challenged to use
data science algorithms to be more competitive in a Big Data era. While this is a relatively …

Predicting popularity of online videos using support vector regression

T Trzciński, P Rokita - IEEE Transactions on Multimedia, 2017 - ieeexplore.ieee.org
In this work, we propose a regression method to predict the popularity of an online video
measured by its number of views. Our method uses Support Vector Regression with …

A peek into the future: Predicting the evolution of popularity in user generated content

M Ahmed, S Spagna, F Huici, S Niccolini - Proceedings of the sixth ACM …, 2013 - dl.acm.org
Content popularity prediction finds application in many areas, including media advertising,
content caching, movie revenue estimation, traffic management and macro-economic trends …

Measuring and characterizing hate speech on news websites

S Zannettou, M ElSherief, E Belding… - Proceedings of the 12th …, 2020 - dl.acm.org
The Web has become the main source for news acquisition. At the same time, news
discussion has become more social: users can post comments on news articles or discuss …

Predicting imdb movie ratings using social media

A Oghina, M Breuss, M Tsagkias, M De Rijke - Advances in Information …, 2012 - Springer
We predict IMDb movie ratings and consider two sets of features: surface and textual
features. For the latter, we assume that no social media signal is isolated and use data from …