Diffusion of real versus misinformation during a crisis event: A big data-driven approach
Misinformation has captured the interest of academia in recent years with several studies
looking at the topic broadly with inconsistent results. In this research, we attempt to bridge …
looking at the topic broadly with inconsistent results. In this research, we attempt to bridge …
[ΒΙΒΛΙΟ][B] The quest for attention: Nonprofit advocacy in a social media age
Today, social media offers an alternative broadcast and communication medium for
nonprofit advocacy organizations. At the same time, social media ushers in a" noisy" …
nonprofit advocacy organizations. At the same time, social media ushers in a" noisy" …
Investigating the impact of recommender systems on user-based and item-based popularity bias
Recommender Systems are decision support tools that adopt advanced algorithms in order
to help users to find less-explored items that can be interesting for them. While …
to help users to find less-explored items that can be interesting for them. While …
Modeling information diffusion in online social networks using a modified forest-fire model
Abstract Information dissemination has changed rapidly in recent years with the emergence
of social media which provides online platforms for people worldwide to share their …
of social media which provides online platforms for people worldwide to share their …
Desi: Deepfake source identifier for social media
Social media holds the power to influence a significant change in the population. Through
social media, people all around the world can connect and share their views. However, this …
social media, people all around the world can connect and share their views. However, this …
Role of twitter user profile features in retweet prediction for big data streams
To study the various factors influencing the process of information sharing on Twitter is a
very active research area. This paper aims to explore the impact of numerical features …
very active research area. This paper aims to explore the impact of numerical features …
Retweeting behavior prediction based on dynamic Bayesian network classifier in microblogging networks
Nowadays, predicting user retweeting behavior in microblogging networks has gained
considerable attention. Solving this problem allows for understanding the underlying …
considerable attention. Solving this problem allows for understanding the underlying …
Retweet prediction based on topic, emotion and personality
Social networks such as Facebook, Twitter, Instagram play an important role in information
diffusion. To understand how information is diffused in these social networks, it is important …
diffusion. To understand how information is diffused in these social networks, it is important …
Smart city governance strategies to better move towards a smart urbanism
This paper intends to summarize the principal reached objectives of an ongoing project on
smart cities governance called GHOST financed by MIUR (Italian Ministry of Education …
smart cities governance called GHOST financed by MIUR (Italian Ministry of Education …
Prediction of likes and retweets using text information retrieval
Twitter is one of the major social media platforms today to study human behaviours by
analysing their interactions. To ensure popularity of the tweet, the focus should be on the …
analysing their interactions. To ensure popularity of the tweet, the focus should be on the …