Home > Engineering > Computer Engineering > Volume-2 > Issue-4 > The Behavior of the Television Audience by TV Rating with Social Networks

The Behavior of the Television Audience by TV Rating with Social Networks

Call for Papers

Volume-4 | Issue-4

Last date : 26-Jun-2020

Best International Journal
Open Access | Peer Reviewed | Best International Journal | Indexing & IF | 24*7 Support | Dedicated Qualified Team | Rapid Publication Process | International Editor, Reviewer Board | Attractive User Interface with Easy Navigation

Journal Type : Open Access

Processing Charges : 700/- INR Only OR 25 USD (for foreign users)

Paper Publish : Within 2-4 Days after submitting

Submit Paper Online

For Author

IJTSRD Publication

Research Area


The Behavior of the Television Audience by TV Rating with Social Networks


S. Sowjanya | R. Vijaya

https://doi.org/10.31142/ijtsrd12883



S. Sowjanya | R. Vijaya "The Behavior of the Television Audience by TV Rating with Social Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4, June 2018, pp.1-4, URL: https://www.ijtsrd.com/papers/ijtsrd12883.pdf

This examination looks at the connection between online networking webpage Facebook and TV ratings drawing from group of on looker’s variables of incorporation model of gathering of people conduct. In view of setting of Taiwan broadcasting company programs, this examination gathered measures for Facebook shares, likes, remarks, posts for three classifications of network shows and Nielsen ratings over a time of 11weeks, bringing about the span of test in excess of 130 perceptions. This examination connected different relapse models and verified that the key online networking measures associate with TV ratings. Generally, TV appears with higher number of posts and engagement are probably going to identify with higher ratings, extraordinary in dramatization appears. Along these lines, this examination built the TV expectation models with measures for Facebook through SVR. The outcomes proposed that expectation models are a decent anticipating of which MAPE was between 10% - 20%, even fewer than 10%. This suggests TV system ought to be roused to put resources into web-based social networking and connect with their group of onlookers and examiners can utilize web-based social networking as an instrument of exact estimating.

Social Media, Facebook, TV Ratings, Audience Measurement


IJTSRD12883
Volume-2 | Issue-4, June 2018
1-4
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

Thomson Reuters
Google Scholer
Academia.edu

ResearchBib
Scribd.com
archive

PdfSR
issuu
Slideshare

WorldJournalAlerts
Twitter
Linkedin