scholarly journals Fostering Cyber-Physical Social Systems through an Ontological Approach to Personality Classification Based on Social Media Posts

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6611
Author(s):  
Alexandra Cernian ◽  
Nicoleta Vasile ◽  
Ioan Stefan Sacala
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Social Systems ◽  
Behavior Modeling ◽  
Human Behavior Modeling ◽  
Novel Approach ◽  
Ontological Approach ◽  
Social Media Platforms ◽  
Smart Communities ◽  
Personality Classification

The exponential increase in social networks has led to emergent convergence of cyber-physical systems (CPS) and social computing, accelerating the creation of smart communities and smart organizations and enabling the concept of cyber-physical social systems. Social media platforms have made a significant contribution to what we call human behavior modeling. This paper presents a novel approach to developing a users’ segmentation tool for the Romanian language, based on the four DISC personality types, based on social media statement analysis. We propose and design the ontological modeling approach of the specific vocabulary for each personality and its mapping with text from posts on social networks. This research proposal adds significant value both in terms of scientific and technological contributions (by developing semantic technologies and tools), as well as in terms of business, social and economic impact (by supporting the investigation of smart communities in the context of cyber-physical social systems). For the validation of the model developed we used a dataset of almost 2000 posts retrieved from 10 social medial accounts (Facebook and Twitter) and we have obtained an accuracy of over 90% in identifying the personality profile of the users.

Fuzzy based feature engineering architecture for sentiment analysis of medical discussion over online social networks

2021 ◽  
pp. 1-13
Author(s):  
C S Pavan Kumar ◽  
L D Dhinesh Babu
Keyword(s):  
Machine Learning ◽  
Social Networks ◽  
Social Media ◽  
Sentiment Analysis ◽  
Membership Function ◽  
Online Social Networks ◽  
Learning Model ◽  
Feature Engineering ◽  
Machine Learning Model ◽  
Social Media Platforms

Sentiment analysis is widely used to retrieve the hidden sentiments in medical discussions over Online Social Networking platforms such as Twitter, Facebook, Instagram. People often tend to convey their feelings concerning their medical problems over social media platforms. Practitioners and health care workers have started to observe these discussions to assess the impact of health-related issues among the people. This helps in providing better care to improve the quality of life. Dementia is a serious disease in western countries like the United States of America and the United Kingdom, and the respective governments are providing facilities to the affected people. There is much chatter over social media platforms concerning the patients’ care, healthy measures to be followed to avoid disease, check early indications. These chatters have to be carefully monitored to help the officials take necessary precautions for the betterment of the affected. A novel Feature engineering architecture that involves feature-split for sentiment analysis of medical chatter over online social networks with the pipeline is proposed that can be used on any Machine Learning model. The proposed model used the fuzzy membership function in refining the outputs. The machine learning model has obtained sentiment score is subjected to fuzzification and defuzzification by using the trapezoid membership function and center of sums method, respectively. Three datasets are considered for comparison of the proposed and the regular model. The proposed approach delivered better results than the normal approach and is proved to be an effective approach for sentiment analysis of medical discussions over online social networks.

Exploiting Social Networks for Large-Scale Human Behavior Modeling

2011 ◽  
Vol 10 (4) ◽  
pp. 45-53 ◽  
Author(s):  
Nicholas D. Lane ◽  
Ye Xu ◽  
Hong Lu ◽  
Andrew T. Campbell ◽  
Tanzeem Choudhury ◽  
...  
Keyword(s):  
Social Networks ◽  
Human Behavior ◽  
Large Scale ◽  
Behavior Modeling ◽  
Human Behavior Modeling

Social Media, Interfacing Brands in Relation to the Social Media Ecosystem

2017 ◽  
pp. 132-170 ◽  
Author(s):  
Ze Zook ◽  
Ben Salmon
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Relational Model ◽  
Marketing Environment ◽  
The Social ◽  
Inherent Structure ◽  
Interactive Nature ◽  
Social Media Platforms ◽  
Media Ecosystem ◽  
The Impact

Much of the existing research in social media has been directed at examining the consequences of the interactive nature of the evolving medium and communication issues, with little to say about the impact of this medium on brands. Drawing on Fiske's relational model, this current chapter examines the interface between social media and brands, particularly on the breadth and the dimensions of the level of engagement. Social networks, such as Facebook and Twitter, are revolutionising the way companies market their products. New means of interaction and dialogue are used in part because of the inherent structure and features of these social media platforms. The chapter concludes by discussing the implications of the analysis for understanding of new terminology in the evolving marketing environment.

Social Media, Interfacing Brands in Relation to the Social Media Ecosystem

2021 ◽  
pp. 1271-1301
Author(s):  
Ze Zook ◽  
Ben Salmon
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Relational Model ◽  
Marketing Environment ◽  
The Social ◽  
Inherent Structure ◽  
Interactive Nature ◽  
Social Media Platforms ◽  
Media Ecosystem ◽  
The Impact

Much of the existing research in social media has been directed at examining the consequences of the interactive nature of the evolving medium and communication issues, with little to say about the impact of this medium on brands. Drawing on Fiske's relational model, this current chapter examines the interface between social media and brands, particularly on the breadth and the dimensions of the level of engagement. Social networks, such as Facebook and Twitter, are revolutionising the way companies market their products. New means of interaction and dialogue are used in part because of the inherent structure and features of these social media platforms. The chapter concludes by discussing the implications of the analysis for understanding of new terminology in the evolving marketing environment.

scholarly journals “Power to the People!”: Social Media Discourse on Regional Energy Issues in Australia

2018 ◽  
Vol 22 ◽  
Author(s):  
Kerri Morgan ◽  
Marc Cheong ◽  
Susan Bedingfield
Keyword(s):  
Social Media ◽  
Economic Sectors ◽  
Regional Energy ◽  
Power Stations ◽  
The People ◽  
Novel Approach ◽  
Social Media Platforms ◽  
The Voice ◽  
Energy Issues

Social media provides people from all socio-economic sectors with the opportunity to voice their opinions. Platforms such as Twitter provide the means to share one’s opinion with little effort and cost. But do these media empower everyday people to make their voice heard? In this research, we introduce a novel approach for investigating the voice of different Twitter groups on social media platforms, by combining text clustering and an analysis of cliques in the resulting network. We focus on a case study using Twitter interactions with respect to energy issues, in particular the closure of coal-fired power stations such as Hazelwood. Implications from this study will benefit stakeholders from governments to industry to the ‘common man’, in understanding how discourse on social media reflects public consumer sentiment.

scholarly journals Engagement, bonding, and identity across multiple platforms: Avaaz on Facebook, YouTube, and MySpace

2012 ◽  
Vol 28 (52) ◽  
pp. 21 ◽  
Author(s):  
Anastasia Kavada
Keyword(s):  
Decision Making ◽  
Social Networks ◽  
Social Media ◽  
Interpersonal Communication ◽  
Empirical Data ◽  
Textual Analysis ◽  
Transnational Activism ◽  
Collective Voice ◽  
Social Media Platforms

This article explores the role of social media platforms in transnational activism by examining the case of Avaaz.org, an international advocacy organization aiming to bring people-powered politics to global decision-making. Focusing on the Avaaz website, its channel on YouTube, its page on Facebook and its profile page on MySpace, the article investigates the affordances of these platforms for identity-building, bonding, and engagement. The empirical data is derived from features analysis of the selected web platforms, as well as textual analysis of the comments posted by users. The findings show that while social media platforms make individual voices more visible, their design helps Avaaz to maintain a coherent collective voice. In terms of bonding, platforms allow individual activists to communicate with the organization and to spread its message to their existing social networks, but opportunities for private interpersonal communication with other Avaaz supporters are limited.

scholarly journals Leveraging Social Media and Scholarly Discussion for Educator Empowerment

2021 ◽  
Vol 46 (11) ◽  
pp. 37-53
Author(s):  
Steven Kolber ◽  
◽  
Sandy Nicoll ◽  
Kelli McGraw ◽  
Nicholas Gaube ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Professional Learning ◽  
Virtual Space ◽  
Or Education ◽  
Virtual Spaces ◽  
Social Mediation ◽  
The Social ◽  
Social Media Platforms ◽  
Collective Experience

This paper shares insights from an international community of educators who have been using social media as a virtual space for a scholarly reading group: #edureading. The collection of educator narratives presented in this paper show how social networks on Twitter and Flipgrid were used as inclusive environments for teacher-led professional development. This paper is both a report of research involving five practitioners inquiring into their collective experience, and an exercise in building the scholarly capacity of the #edureading group. The accessibility of the social media platforms, as well as the collaborative, inquiry-based approach to scholarly reading, emerge as key themes in the educator narratives. The findings of this research emphasise that professional learning occurring in virtual spaces is open to social mediation using the norms of social networks, rather than the norms of workplaces, jurisdictions or education sectors, and that this can lead to a greater sense of empowerment for educators

Being/becoming professional online: Wayfinding through networked practices and digital experiences

2020 ◽  
pp. 146144482090244
Author(s):  
Laura A. Pasquini ◽  
Paul William Eaton
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Postsecondary Education ◽  
Reputation Management ◽  
Digital Networks ◽  
Structured Interviews ◽  
Self Directed Learning ◽  
Educational Professionals ◽  
Social Media Platforms ◽  
Use Of Social Media

Social media platforms and digital networks have enabled professionals to communicate with colleagues, disseminate information, and co-create knowledge. As the Internet has grown up and social networks have scaled, there is an increased awareness of the occupational impact of being online. Prior research in postsecondary education has examined the structure of social networks, imagined audiences online, openness of practice, and informational/communication patterns of academics. We conducted 92 semi-structured interviews with higher educational professionals beyond the faculty/academic role to understand motivations and challenges online. Participants shared how they navigate digital identity and contribute to networked practices in professional online communities. Multiple factors influence and impact the use of social media over time, specifically as professionals reflect on their digital presence, network affiliations, and informal learning opportunities. We identify seven networked practices: kinship in community, self-directed learning, digital norms, navigating context collapse, career advancement, reputation management, and risk versus reward assessment.

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