scholarly journals Using Social Media Data to Understand the Impact of Promotional Information on Laypeople’s Discussions: A Case Study of Lynch Syndrome

2017 ◽  
Vol 19 (12) ◽  
pp. e414 ◽  
Author(s):  
Jiang Bian ◽  
Yunpeng Zhao ◽  
Ramzi G Salloum ◽  
Yi Guo ◽  
Mo Wang ◽  
...  
Keyword(s):  
Social Media ◽  
Lynch Syndrome ◽  
Social Media Data ◽  
The Impact ◽  
Media Data

scholarly journals Geo-Tagged Social Media Data-Based Analytical Approach for Perceiving Impacts of Social Events

2018 ◽  
Vol 8 (1) ◽  
pp. 15 ◽  
Author(s):  
Ruoxin Zhu ◽  
Diao Lin ◽  
Michael Jendryke ◽  
Chenyu Zuo ◽  
Linfang Ding ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Research Work ◽  
City Management ◽  
Social Media Data ◽  
Social Events ◽  
Time Space ◽  
The Impact ◽  
Media Data

Studying the impact of social events is important for the sustainable development of society. Given the growing popularity of social media applications, social sensing networks with users acting as smart social sensors provide a unique channel for understanding social events. Current research on social events through geo-tagged social media is mainly focused on the extraction of information about when, where, and what happened, i.e., event detection. There is a trend towards the machine learning of more complex events from even larger input data. This research work will undoubtedly lead to a better understanding of big geo-data. In this study, however, we start from known or detected events, raising further questions on how they happened, how they affect people’s lives, and for how long. By combining machine learning, natural language processing, and visualization methods in a generic analytical framework, we attempt to interpret the impact of known social events from the dimensions of time, space, and semantics based on geo-tagged social media data. The whole analysis process consists of four parts: (1) preprocessing; (2) extraction of event-related information; (3) analysis of event impact; and (4) visualization. We conducted a case study on the “2014 Shanghai Stampede” event on the basis of Chinese Sina Weibo data. The results are visualized in various ways, thus ensuring the feasibility and effectiveness of our proposed framework. Both the methods and the case study can serve as decision references for situational awareness and city management.

A Sentiment Analysis and Role of Twitter for Health Communications

2022 ◽  
pp. 188-205
Author(s):  
Erkan Çiçek ◽  
Uğur Gündüz
Keyword(s):  
Social Media ◽  
Crisis Management ◽  
Semantic Analysis ◽  
Social Media Data ◽  
Global Pandemic ◽  
The Difference ◽  
Textual Content ◽  
The Impact ◽  
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.

Social Media to Social Media Analytics

2019 ◽  
Vol 10 (2) ◽  
pp. 57-70 ◽  
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.

Discovering New Tourist Attractions Through Social Media Data: A Case Study in Sabah Malaysia

2018 ◽  
Author(s):  
Maisarah Abdul Halim ◽  
Noraain Mohamed Saraf ◽  
Nur Idzhainee Hashim ◽  
Abdul Rauf Abdul Rasam ◽  
Ahmad Norhisyam Idris ◽  
...  
Keyword(s):  
Social Media ◽  
Social Media Data ◽  
Tourist Attractions ◽  
Media Data

scholarly journals Penggunaan Aplikasi Media Sosial Berbasis Audio Visual dalam Membentuk Konsep Diri (Studi Kasus Aplikasi Tiktok)

Koneksi ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 372
Author(s):  
Dian Novita Sari Chandra Kusuma ◽  
Roswita Oktavianti
Keyword(s):  
Social Media ◽  
Uses And Gratifications ◽  
Age Groups ◽  
The Self ◽  
Self Concept ◽  
Internal Factors ◽  
Positive Direction ◽  
Social Media Data ◽  
Media Data

TikTok social media is popular with various groups and age groups. TikTok is an audio visual based social media application that contains short videos that are homemade or made by other people who entertain with interesting features such as the latest music, unique face filters and others. This study uses the Theory of Uses and Gratifications to determine individual satisfaction in using TikTok social media. Social media can shape the self-concept of its users based on internal factors (physical and psychological) and external factors (other people and reference groups). This study aims to find out how the use of audio visual-based social media in shaping the self-concept of users with different age levels. This study uses a qualitative approach with a case study method for users of TikTok social media. Data collection was carried out using observations and interviews with 4 sources of users of TikTok applications who have different age levels. The results of this study indicate differences in the age level of TikTok users affect the duration of using the application also affect the formation of self-concept formed by the speakers. The use of the TikTok application forms the self-concept of the resource person in a positive direction such as increasing the confidence of the resource person to show his identity and negative self-concepts such as lack of time management.Media sosial TikTok digemari oleh berbagai kalangan dan jenjang umur. TikTok adalah aplikasi media sosial berbasis audio visual yang berisikan video-video pendek buatan sendiri maupun buatan orang lain yang menghibur dengan fitur-fitur menarik seperti musik terbaru, filter wajah yang unik dan lain-lain. Penelitian ini menggunakan Teori Uses and Gratifications untuk mengetahui kepuasan individu dalam menggunakan media sosial TikTok. Media sosial dapat membentuk konsep diri dari penggunanya berdasarkan faktor internal (fisik dan psikis) dan faktor eksternal (orang lain dan kelompok rujukan). Penelitian ini bertujuan untuk mengetahui bagaimana penggunaan media sosial berbasis audio visual dalam membentuk konsep diri penggunanya dengan jenjang umur yang berbeda. Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus terhadap pengguna media sosial TikTok. Pengumpulan data dilakukan menggunakan observasi dan wawancara kepada 4 narasumber pengguna aplikasi TikTok yang memiliki jenjang umur yang berbeda. Hasil dari penelitian ini menunjukkan perbedaan jenjang umur pengguna TikTok mempengaruhi durasi dalam menggunakan aplikasi juga mempengaruhi pembentukan konsep diri yang dibentuk oleh narasumber. Penggunaan aplikasi TikTok membentuk konsep diri narasumber ke arah positif seperti meningkatkan kepercayaan diri narasumber untuk menunjukkan jati dirinya dan konsep diri negatif seperti kurangnya dalam mengatur waktu.

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