Prediction and explanation in social systems

JM Hofman, A Sharma, DJ Watts - Science, 2017 - science.org
Historically, social scientists have sought out explanations of human and social phenomena
that provide interpretable causal mechanisms, while often ignoring their predictive accuracy …

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 …

Can cascades be predicted?

J Cheng, L Adamic, PA Dow, JM Kleinberg… - Proceedings of the 23rd …, 2014 - dl.acm.org
On many social networking web sites such as Facebook and Twitter, resharing or reposting
functionality allows users to share others' content with their own friends or followers. As …

Deepcas: An end-to-end predictor of information cascades

C Li, J Ma, X Guo, Q Mei - … of the 26th international conference on World …, 2017 - dl.acm.org
Information cascades, effectively facilitated by most social network platforms, are recognized
as a major factor in almost every social success and disaster in these networks. Can …

The structural virality of online diffusion

S Goel, A Anderson, J Hofman… - Management …, 2016 - pubsonline.informs.org
Viral products and ideas are intuitively understood to grow through a person-to-person
diffusion process analogous to the spread of an infectious disease; however, until recently it …

Social media engagement of stakeholders in the oil and gas sector: Social presence, triple bottom line and source credibility theory

KF Yuen, KW Ong, Y Zhou, X Wang - Journal of Cleaner Production, 2023 - Elsevier
Abstract Enabled by Web 2.0 technology, social media has revolutionised the way
organisations communicate with their audiences by allowing a two-way interaction between …

Quantifying echo chamber effects in information spreading over political communication networks

W Cota, SC Ferreira, R Pastor-Satorras, M Starnini - EPJ Data Science, 2019 - Springer
Echo chambers in online social networks, in which users prefer to interact only with
ideologically-aligned peers, are believed to facilitate misinformation spreading and …

Information diffusion prediction via recurrent cascades convolution

X Chen, F Zhou, K Zhang, G Trajcevski… - 2019 IEEE 35th …, 2019 - ieeexplore.ieee.org
Effectively predicting the size of an information cascade is critical for many applications
spanning from identifying viral marketing and fake news to precise recommendation and …

[HTML][HTML] Twitter as a tool for forecasting stock market movements: A short-window event study

TM Nisar, M Yeung - The journal of finance and data science, 2018 - Elsevier
In order to explore the relationship between politics-related sentiment and FTSE 100
movements, we conducted a short-window event study of a UK based political event. We …

Confronting abusive language online: A survey from the ethical and human rights perspective

S Kiritchenko, I Nejadgholi, KC Fraser - Journal of Artificial Intelligence …, 2021 - jair.org
The pervasiveness of abusive content on the internet can lead to severe psychological and
physical harm. Significant effort in Natural Language Processing (NLP) research has been …