We present an empirical study of user activity in online BBC discussion forums, measured by the number of posts written by individual debaters and the average sentiment of these posts. Nearly 2.5 million posts from over 18 thousand users were investigated. Scale free distibutions were observed for activity in individual discussion threads as well as for overall activity. The number of unique us...

Social media gives various functions and uses for the users. The comment feature is one important aspect its gratification. This study applies theory of Uses Gratification Media Entertainment to describe gratification users in reading comments on social provide an overview behavior patterns at this time. used a qualitative approach with data collection techniques form in-depth interviews docume...

A new policy to show IP location is promulgated by the Chinese government in 2022. Since then, mainstream social media, including video sites and forums, has display provincial address of person who posted or article, meaning media users will be able see where article from. This paper collects comments from “Bilibili”, a site for young Chinese, analyzes content each comment determine whether th...

Today, e-commerce has occupied a large volume of economic exchanges. It is known as one of the most effective business practices. Predicted trust which means trusting an anonymous user is important in online communities. In this paper, the trust was predicted by combining two methods of multiplex network and community detection. In modeling the network in terms of a multiplex network, the relat...

This paper aims to examine the main challenges encountered by mobile grocery-shopping applications’ (MGSAs) users, wherein analysis is based on review comments for three popular MGSAs deployed grocery retailers in Europe. The research methodology used was qualitative form of a cross-sectional inductive approach, allowing identification issues users and their classification into four categories ...

In this paper, we propose an approach to learn distributed representations of users and items from text comments for recommendation systems. Traditional recommendation algorithms, e.g. collaborative filtering and matrix completion, are not designed to exploit the key information hidden in the text comments, while existing opinion mining methods do not provide direct support to recommendation sy...

Online political discussion amongst citizens has often been labelled uncivil. Indeed, as online discussion allows participants to remain relatively anonymous, and by extension, unaccountable for their behaviour, citizens often engage in angry, hostile, and derogatory discussion, taking the opportunity to attack the beliefs and values of others without fear of retribution. Some commentators beli...

As a method of determining what types of social media messages work best for hospitality firms, this study examined what types of messages gained the most clicks of “Like” and comments on Facebook. An analysis of the number of likes and comments regarding nine hundred and eighty-two Facebook messages from ten restaurant chains and two independent operators revealed clear patterns. The more popu...