Capturing dynamics of information diffusion in SNS: A survey of methodology and techniques

H Li, C **a, T Wang, S Wen, C Chen… - ACM Computing Surveys …, 2021 - dl.acm.org
Studying information diffusion in SNS (Social Networks Service) has remarkable
significance in both academia and industry. Theoretically, it boosts the development of other …

Neural networks for deceptive opinion spam detection: An empirical study

Y Ren, D Ji - Information Sciences, 2017 - Elsevier
The products reviews are increasingly used by individuals and organizations for purchase
and business decisions. Driven by the desire of profit, spammers produce synthesized …

Identifying content unaware features influencing popularity of videos on youtube: A study based on seven regions

Z Halim, S Hussain, RH Ali - Expert Systems with Applications, 2022 - Elsevier
Predicting the popularity of User Generated Content (UGC) is a subject of interest to the
Internet service providers, content makers, social media researchers, and online advertisers …

Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content

M Choudhary, SS Chouhan, SS Rathore - ACM Transactions on …, 2024 - dl.acm.org
User-generated content (UGC) is increasingly becoming prevalent on various digital
platforms. The content generated on social media, review forums, and question–answer …

Beyond views: Measuring and predicting engagement in online videos

S Wu, MA Rizoiu, L **e - … of the International AAAI Conference on Web …, 2018 - ojs.aaai.org
The share of videos in the internet traffic has been growing, therefore understanding how
videos capture attention on a global scale is also of growing importance. Most current …

Popularity-based video caching techniques for cache-enabled networks: A survey

HS Goian, OY Al-Jarrah, S Muhaidat… - IEEE …, 2019 - ieeexplore.ieee.org
The proliferation of the mobile Internet and connected devices, which offer a variety of
services at different levels of performance is a major challenge for the fifth generation of …

Taxonomy and evaluation for microblog popularity prediction

X Gao, Z Cao, S Li, B Yao, G Chen, S Tang - ACM Transactions on …, 2019 - dl.acm.org
As social networks become a major source of information, predicting the outcome of
information diffusion has appeared intriguing to both researchers and practitioners. By …

How can our tweets go viral? Point-process modelling of brand content

A Zadeh, R Sharda - Information & Management, 2022 - Elsevier
People create and share content via online social networks, which provide an unparalleled
opportunity for brands to gain visibility, promote products or services and drive revenue …

Detecting opinion spams through supervised boosting approach

M Hazim, NB Anuar, MF Ab Razak, NA Abdullah - PloS one, 2018 - journals.plos.org
Product reviews are the individual's opinions, judgement or belief about a certain product or
service provided by certain companies. Such reviews serve as guides for these companies …

Exploring trends and patterns of popularity stage evolution in social media

Q Kong, W Mao, G Chen, D Zeng - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The popularity of online contents in social media frequently experiences ebb and flow, and
thus its evolution often involves different stages, such as burst and valley. Exploring the …