… Based on the user behavior on socialnetwork platform, we have collected multiple features that can help and share information to predict malicious content in the form of fake news. …
… We use a sentiment analysis approach for the aforementioned two tasks. Therefore, it is … of socialnetworking data and webpage contents, we use SentiWordNet (SWN) to identify the …
C Comito - Knowledge-Based Systems, 2020 - Elsevier
… We express this problem in terms of a specific socialnetwork, Twitter, and its geo-localized tweets, although the general formulation is applicable to any other socialnetwork with geo-…
SA Curiskis, B Drake, TR Osborn… - Information Processing & …, 2020 - Elsevier
… Methods for document clustering and topic modelling in online socialnetworks (OSNs) offer a means of categorising, annotating and making sense of large volumes of user generated …
T Aichner, M Grünfelder, O Maurer… - … , and social networking, 2021 - liebertpub.com
… 2013 A socialnetwork site is a networked communication platform in which participants (a) have uniquely identifiable profiles that consist of user-supplied content, content provided by …
V Chagas - International journal of communication, 2022 - ijoc.org
… defined and empirically investigated through a socialnetwork analysis (SNA) approach. The article is specially focused on understanding the use of mobile instant messaging services (…
A Acquisti, C Fong - Management Science, 2020 - pubsonline.informs.org
… Using a between-subject design, we test for an effect of randomized socialnetwork profiles on interview invitations (callbacks) following job applications. Employers’ responses are …
… Methods: This paper performs a socialnetwork analysis and … Influential users were analyzed through socialnetwork graph clusters… Results: Socialnetwork analysis identified that the two …
… This study investigates students’ socialnetworks and mental … of socialnetworks (interaction, friendship, social support, co-… interaction and co-studying networks had become sparser, and …