The impact of social media on human interaction in an organisation based on real-time social media data

Social media has been in our lives so much lately that it is an undeniable fact that global pandemics, which constitute an important part of our lives, are also affected by these networks and that they exist in these networks and share the users. The purpose of making this hashtag analysis is to reveal the difference in discourse and language while analyzing Twitter data and to evaluate the effects of a global pandemic crisis on language, message, and crisis management with social media data. This form of analysis is typically completed through amassing textual content data then investigating the “sentiment” conveyed. Within the scope of the study, 11,300 Twitter messages posted with the #stayhome hashtag between 30 May 2020 and 6 June 2020 were examined. The impact and reliability of social media in disaster management could be questioned by carrying out a content analysis based totally on the semantic analysis of the messages given on the Twitter posts with the phrases and frequencies used.

Download Full-text

Disaster management 2.0: A real-time disaster damage assessment model based on mobile social media data—A case study of Weibo (Chinese Twitter)

Safety Science ◽

10.1016/j.ssci.2019.02.029 ◽

2019 ◽

Vol 115 ◽

pp. 393-413 ◽

Cited By ~ 22

Author(s):

Siqing Shan ◽

Feng Zhao ◽

Yigang Wei ◽

Mengni Liu

Keyword(s):

Social Media ◽

Real Time ◽

Disaster Management ◽

Damage Assessment ◽

Assessment Model ◽

Social Media Data ◽

Model Based ◽

Media Data ◽

Damage Assessment Model

Download Full-text

A Big Data Platform for Real Time Analysis of Signs of Depression in Social Media

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph17134752 ◽

2020 ◽

Vol 17 (13) ◽

pp. 4752 ◽

Cited By ~ 1

Author(s):

Rodrigo Martínez-Castaño ◽

Juan C. Pichel ◽

David E. Losada

Keyword(s):

Social Media ◽

Real Time ◽

Public Health Surveillance ◽

Time Analysis ◽

Social Media Data ◽

Real Time Processing ◽

Processing Elements ◽

Real Time Analysis ◽

Data Platform ◽

Media Data

In this paper we propose a scalable platform for real-time processing of Social Media data. The platform ingests huge amounts of contents, such as Social Media posts or comments, and can support Public Health surveillance tasks. The processing and analytical needs of multiple screening tasks can easily be handled by incorporating user-defined execution graphs. The design is modular and supports different processing elements, such as crawlers to extract relevant contents or classifiers to categorise Social Media. We describe here an implementation of a use case built on the platform that monitors Social Media users and detects early signs of depression.

Download Full-text

Social Media to Social Media Analytics

International Journal of Technoethics ◽

10.4018/ijt.2019070104 ◽

2019 ◽

Vol 10 (2) ◽

pp. 57-70 ◽

Cited By ~ 4

Author(s):

Vikas Kumar ◽

Pooja Nanda

Keyword(s):

Social Media ◽

Social Media Analytics ◽

Social Media Data ◽

Ethical Concerns ◽

Ethical Implications ◽

The Social ◽

Social Media Platforms ◽

The Individual ◽

The Impact ◽

Media Data

With the amplification of social media platforms, the importance of social media analytics has exponentially increased for many brands and organizations across the world. Tracking and analyzing the social media data has been contributing as a success parameter for such organizations, however, the data is being poorly harnessed. Therefore, the ethical implications of social media analytics need to be identified and explored for both the organizations and targeted users of social media data. The present work is an exploratory study to identify the various techno-ethical concerns of social media engagement, as well as social media analytics. The impact of these concerns on the individuals, organizations, and society as a whole are discussed. Ethical engagement for the most common social media platforms has been outlined with a number of specific examples to understand the prominent techno-ethical concerns. Both the individual and organizational perspectives have been taken into account to identify the implications of social media analytics.

Download Full-text