scholarly journals Security Enhanced Content Sharing in Social IoT: A Directed Hypergraph-Based Learning Scheme

2020 ◽  
Vol 69 (4) ◽  
pp. 4412-4425 ◽  
Author(s):  
Bowen Wang ◽  
Yanjing Sun ◽  
Trung Q. Duong ◽  
Long D. Nguyen ◽  
Nan Zhao
Keyword(s):  
Content Sharing ◽  
Learning Scheme ◽  
Directed Hypergraph

Conflict Detection Techniques for Preserving Privacy in Social Media

2018 ◽  
pp. 78-85
Author(s):  
Fulpagare Priya K. ◽  
Nitin N. Patil
Keyword(s):  
Social Media ◽  
Privacy Management ◽  
Crucial Importance ◽  
Network Integration ◽  
Critical Problem ◽  
Detection Techniques ◽  
Privacy Preferences ◽  
Content Sharing ◽  
Privacy Settings ◽  
Relationship Network

Social Network is an emerging e-service for Content Sharing Sites (CSS). It is an emerging service which provides reliable communication. Some users over CSS affect user’s privacy on their personal contents, where some users keep on sending annoying comments and messages by taking advantage of the user’s inherent trust in their relationship network. Integration of multiple user’s privacy preferences is very difficult task, because privacy preferences may create conflict. The techniques to resolve conflicts are essentially required. Moreover, these methods need to consider how users would actually reach an agreement about a solution to the conflict in order to offer solutions acceptable by all of the concerned users. The first mechanism to resolve conflicts for multi-party privacy management in social media that is able to adapt to different situations by displaying the enterprises that users make to reach a result to the conflicts. Billions of items that are uploaded to social media are co-owned by multiple users. Only the user that uploads the item is allowed to set its privacy settings (i.e. who can access the item). This is a critical problem as users’ privacy preferences for co-owned items can conflict. Multi-party privacy management is therefore of crucial importance for users to appropriately reserve their privacy in social media.

Decoding the Torque of Lower Limb Joints from EEG Recordings of Pre-gait Movements Using a Machine Learning Scheme

2021 ◽  
Author(s):  
Luis Mercado ◽  
Lucero Alvarado ◽  
Griselda Quiroz-Compean ◽  
Rebeca Romo-Vazquez ◽  
Hugo Vélez-Pérez ◽  
...  
Keyword(s):  
Machine Learning ◽  
Lower Limb ◽  
Learning Scheme ◽  
Eeg Recordings

Blocked by YouTube? Unseen digital intermediaries for social imaginaries in the Asia Pacific

2021 ◽  
pp. 1329878X2110179
Author(s):  
Jonathon Hutchinson
Keyword(s):  
Online Community ◽  
Community Building ◽  
Asia Pacific ◽  
User Engagement ◽  
Asia Pacific Region ◽  
Social Imaginaries ◽  
Content Sharing ◽  
Enterprise Education ◽  
Commercial Enterprise ◽  
Asian Pacific

YouTube is one of the most utilised online content sharing sites, enabling commercial enterprise, education opportunities, and facilities for vernacular creativity. Its user engagement demonstrates online community development; alongside its use as a distribution platform to monetise one’s branded self. However, as a subset of Alphabet Incorporated, its access is often restricted by governments of Asian Pacific countries. This research describes how countries that have banned YouTube still have exceptionally strong online communities, bringing into question the sorts of augmentations used by its participants. This article focuses on digital intermediation strategies, specifically the DIY approach of community building through the use of unseen infrastructures. This comparative study of YouTube channels in several Asia Pacific countries highlights the techniques that bypass limiting infrastructures to boost online community activity. The results demonstrate digital intermediation provides unique opportunities for key agents to contribute to strengthening social imaginaries within the Asia Pacific region.

Sign in / Sign up

Export Citation Format

Share Document