Sentiment dynamics in social media news channels

Kumar, Nagendra and Nagalla, Rakshita and Marwah, Tanya and Singh, Manish (2018) Sentiment dynamics in social media news channels. Online Social Networks and Media, 8. pp. 42-54. ISSN 2468-6964

Full text not available from this repository. (Request a copy)


Social media is currently one of the most important means of news communication. Since people are consuming a large fraction of their daily news through social media, most of the traditional news channels are using social media to catch the attention of users. Each news channel has its own strategies to attract more users. In this paper, we analyze how the news channels use sentiment to garner users’ attention in social media. We compare the sentiment of social media news posts of television, radio and print media, to show the differences in the ways these channels cover the news. We also analyze users’ reactions and opinion sentiment on news posts with different sentiments. We perform our experiments on a dataset extracted from Facebook Pages of five popular news channels. Our dataset contains 0.15 million news posts and 1.13 billion users reactions. The results of our experiments show that the sentiment of user opinion has a strong correlation with the sentiment of the news post and the type of information source. Our study also illustrates the differences among the social media news channels of different types of news sources.

[error in script]
IITH Creators:
IITH CreatorsORCiD
Singh, Manish
Item Type: Article
Uncontrolled Keywords: Social media analysis, Sentiment analysis, Data mining, Opinion analysis, Data characterization
Subjects: Computer science
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 08 Nov 2018 04:37
Last Modified: 08 Nov 2018 04:37
Publisher URL:
OA policy:
Related URLs:

Actions (login required)

View Item View Item
Statistics for RAIITH ePrint 4522 Statistics for this ePrint Item