Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network

MA Al-Garadi, KD Varathan, SD Ravana - Computers in Human Behavior, 2016 - Elsevier
The popularity of online social networks has created massive social communication among
their users and this leads to a huge amount of user-generated communication data. In recent …

The impact of user personality traits on word of mouth: Text-mining social media platforms

P Adamopoulos, A Ghose… - Information Systems …, 2018 - pubsonline.informs.org
Word of mouth (WOM) plays an increasingly important role in sha** consumers' behavior
and preferences. In this paper, we examine whether latent personality traits of online users …

Trusting virtual agents: The effect of personality

MX Zhou, G Mark, J Li, H Yang - ACM Transactions on Interactive …, 2019 - dl.acm.org
We present artificial intelligent (AI) agents that act as interviewers to engage with a user in a
text-based conversation and automatically infer the user's personality traits. We investigate …

Are high-status reviewers more likely to seek anonymity? Evidence from an online review platform

Z Zhang, Z Zhang, S Liu, Z Zhang - Journal of Retailing and Consumer …, 2024 - Elsevier
Nearly all ecommerce platforms have adopted hierarchical status systems to encourage
user contributions. Although many studies have explored how online reviewer status …

KnowMe and ShareMe: understanding automatically discovered personality traits from social media and user sharing preferences

L Gou, MX Zhou, H Yang - Proceedings of the SIGCHI conference on …, 2014 - dl.acm.org
There is much recent work on using the digital footprints left by people on social media to
predict personal traits and gain a deeper understanding of individuals. Due to the veracity of …

Confiding in and listening to virtual agents: The effect of personality

J Li, MX Zhou, H Yang, G Mark - … of the 22nd international conference on …, 2017 - dl.acm.org
We present an intelligent virtual interviewer that engages with a user in a text-based
conversation and automatically infers the user's psychological traits, such as personality. We …

Introassist: A tool to support writing introductory help requests

JS Hui, D Gergle, EM Gerber - Proceedings of the 2018 CHI Conference …, 2018 - dl.acm.org
Writing introductory help requests is a key part of develop-ing new professional connections,
such as through email and other online messaging systems. This paper presents the design …

Detecting experts on Quora: by their activity, quality of answers, linguistic characteristics and temporal behaviors

S Patil, K Lee - Social network analysis and mining, 2016 - Springer
Quora is a fast growing social Q&A site where users create and answer questions, and
identify the best answers by upvotes and downvotes with crowd wisdom. Unfortunately, little …

Identifying and predicting the desire to help in social question and answering

Z Liu, BJ Jansen - Information processing & management, 2017 - Elsevier
The increasing volume of questions posted on social question and answering sites has
triggered the development of question routing services. Most of these routing algorithms are …

Are we who we follow? Computationally analyzing human personality and brand following on Twitter

JT Yun, U Pamuksuz, BRL Duff - International Journal of …, 2019 - Taylor & Francis
In this study, we present a computational method for analyzing the congruence between
personality of a brand's Twitter account and the personality of their followers. We …